From b5edc80024a7e693c78910d91aacb0dd5d304c1d Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Fri, 19 Aug 2022 10:30:57 +0100 Subject: [PATCH 01/21] removing lib_vad, lib_dsp, lib_ai and some cmake changes --- Jenkinsfile | 46 +- doc/user_guide/audio_processing/index.rst | 1 - examples/bare-metal/CMakeLists.txt | 9 +- .../pipeline_alt_arch/CMakeLists.txt | 61 +- examples/bare-metal/vad/CMakeLists.txt | 43 - examples/bare-metal/vad/README.rst | 54 - examples/bare-metal/vad/input.wav | Bin 740956 -> 0 bytes examples/bare-metal/vad/src/main.xc | 34 - examples/bare-metal/vad/src/vad_test_task.c | 121 - modules/CMakeLists.txt | 2 - modules/lib_vad/CMakeLists.txt | 34 - modules/lib_vad/api/vad_api.h | 75 - modules/lib_vad/doc/index.rst | 34 - modules/lib_vad/doc/src/getting_started.rst | 45 - modules/lib_vad/doc/src/overview.rst | 23 - modules/lib_vad/doc/src/reference/api.rst | 7 - .../doc/src/reference/header_files.rst | 16 - modules/lib_vad/doc/src/reference/index.rst | 10 - modules/lib_vad/doc/src/reference/state.rst | 8 - modules/lib_vad/lib_vad.cmake | 15 - modules/lib_vad/src/vad.c | 364 --- modules/lib_vad/src/vad_dct.c | 74 - modules/lib_vad/src/vad_dct.h | 21 - modules/lib_vad/src/vad_helpers.c | 101 - modules/lib_vad/src/vad_helpers.h | 17 - modules/lib_vad/src/vad_mel.h | 22 - modules/lib_vad/src/vad_mel_compute.c | 147 - modules/lib_vad/src/vad_mel_scale.c | 267 -- modules/lib_vad/src/vad_mel_scale.h | 15 - modules/lib_vad/src/vad_nn_coefficients.c | 2665 ----------------- modules/lib_vad/src/vad_nn_coefficients.h | 23 - modules/lib_vad/src/vad_normalisation.c | 63 - modules/lib_vad/src/vad_normalisation.h | 21 - modules/lib_vad/src/vad_parameters.h | 26 - modules/lib_vad/src/vad_window.c | 1547 ---------- modules/lib_vad/src/vad_window.h | 11 - test/CMakeLists.txt | 5 +- test/lib_vad/CMakeLists.txt | 6 - test/lib_vad/compare_xc_c/CMakeLists.txt | 66 - test/lib_vad/compare_xc_c/config.xscope | 10 - test/lib_vad/compare_xc_c/src/debug_print.h | 1 - test/lib_vad/compare_xc_c/src/main.xc | 98 - .../lib_vad/compare_xc_c/test_compare_xc_c.py | 108 - test/lib_vad/test_vad_profile/CMakeLists.txt | 55 - test/lib_vad/test_vad_profile/config.xscope | 10 - test/lib_vad/test_vad_profile/src/main.xc | 34 - .../test_vad_profile/src/vad_test_task.c | 93 - .../test_vad_profile/test_vad_profile.py | 135 - test/lib_vad/vad_unit_tests/CMakeLists.txt | 118 - test/lib_vad/vad_unit_tests/conftest.py | 104 - .../vad_unit_tests/generate_unity_runner.py | 58 - test/lib_vad/vad_unit_tests/pytest.ini | 3 - .../src/for_mel_test/dsp_complex.h | 8 - .../vad_unit_tests/src/test_add_unsigned.c | 45 - test/lib_vad/vad_unit_tests/src/test_clz.c | 34 - .../vad_unit_tests/src/test_compare_fft.c | 93 - .../src/test_compare_mel_compute.c | 122 - test/lib_vad/vad_unit_tests/src/test_dct.c | 34 - .../vad_unit_tests/src/test_fully_connected.c | 48 - .../vad_unit_tests/src/test_math_logistics.c | 34 - .../lib_vad/vad_unit_tests/src/test_mul_mel.c | 40 - .../vad_unit_tests/src/test_reduce_relu.c | 34 - .../vad_unit_tests/src/test_reduce_sigmoid.c | 34 - .../vad_unit_tests/src/vad_unit_tests.h | 43 - test/lib_vnr/profile_memory/CMakeLists.txt | 19 - test/lib_vnr/profile_memory/src/profile_vad.c | 11 - test/shared/CMakeLists.txt | 4 - test/shared/lib_dsp/CMakeLists.txt | 89 - test/test_hpf/CMakeLists.txt | 1 - 69 files changed, 10 insertions(+), 7609 deletions(-) delete mode 100644 examples/bare-metal/vad/CMakeLists.txt delete mode 100644 examples/bare-metal/vad/README.rst delete mode 100644 examples/bare-metal/vad/input.wav delete mode 100644 examples/bare-metal/vad/src/main.xc delete mode 100644 examples/bare-metal/vad/src/vad_test_task.c delete mode 100644 modules/lib_vad/CMakeLists.txt delete mode 100644 modules/lib_vad/api/vad_api.h delete mode 100755 modules/lib_vad/doc/index.rst delete mode 100644 modules/lib_vad/doc/src/getting_started.rst delete mode 100755 modules/lib_vad/doc/src/overview.rst delete mode 100644 modules/lib_vad/doc/src/reference/api.rst delete mode 100644 modules/lib_vad/doc/src/reference/header_files.rst delete mode 100644 modules/lib_vad/doc/src/reference/index.rst delete mode 100644 modules/lib_vad/doc/src/reference/state.rst delete mode 100644 modules/lib_vad/lib_vad.cmake delete mode 100644 modules/lib_vad/src/vad.c delete mode 100644 modules/lib_vad/src/vad_dct.c delete mode 100644 modules/lib_vad/src/vad_dct.h delete mode 100644 modules/lib_vad/src/vad_helpers.c delete mode 100644 modules/lib_vad/src/vad_helpers.h delete mode 100644 modules/lib_vad/src/vad_mel.h delete mode 100644 modules/lib_vad/src/vad_mel_compute.c delete mode 100644 modules/lib_vad/src/vad_mel_scale.c delete mode 100644 modules/lib_vad/src/vad_mel_scale.h delete mode 100644 modules/lib_vad/src/vad_nn_coefficients.c delete mode 100644 modules/lib_vad/src/vad_nn_coefficients.h delete mode 100644 modules/lib_vad/src/vad_normalisation.c delete mode 100644 modules/lib_vad/src/vad_normalisation.h delete mode 100644 modules/lib_vad/src/vad_parameters.h delete mode 100644 modules/lib_vad/src/vad_window.c delete mode 100644 modules/lib_vad/src/vad_window.h delete mode 100644 test/lib_vad/CMakeLists.txt delete mode 100644 test/lib_vad/compare_xc_c/CMakeLists.txt delete mode 100644 test/lib_vad/compare_xc_c/config.xscope delete mode 100644 test/lib_vad/compare_xc_c/src/debug_print.h delete mode 100644 test/lib_vad/compare_xc_c/src/main.xc delete mode 100644 test/lib_vad/compare_xc_c/test_compare_xc_c.py delete mode 100644 test/lib_vad/test_vad_profile/CMakeLists.txt delete mode 100644 test/lib_vad/test_vad_profile/config.xscope delete mode 100644 test/lib_vad/test_vad_profile/src/main.xc delete mode 100644 test/lib_vad/test_vad_profile/src/vad_test_task.c delete mode 100644 test/lib_vad/test_vad_profile/test_vad_profile.py delete mode 100644 test/lib_vad/vad_unit_tests/CMakeLists.txt delete mode 100644 test/lib_vad/vad_unit_tests/conftest.py delete mode 100644 test/lib_vad/vad_unit_tests/generate_unity_runner.py delete mode 100644 test/lib_vad/vad_unit_tests/pytest.ini delete mode 100644 test/lib_vad/vad_unit_tests/src/for_mel_test/dsp_complex.h delete mode 100644 test/lib_vad/vad_unit_tests/src/test_add_unsigned.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_clz.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_compare_fft.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_compare_mel_compute.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_dct.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_fully_connected.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_math_logistics.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_mul_mel.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_reduce_relu.c delete mode 100644 test/lib_vad/vad_unit_tests/src/test_reduce_sigmoid.c delete mode 100644 test/lib_vad/vad_unit_tests/src/vad_unit_tests.h delete mode 100644 test/lib_vnr/profile_memory/src/profile_vad.c delete mode 100644 test/shared/lib_dsp/CMakeLists.txt diff --git a/Jenkinsfile b/Jenkinsfile index 23f90533e..f73c0c6a4 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -14,7 +14,7 @@ pipeline { } environment { REPO = 'sw_avona' - VIEW = getViewName(REPO) + VIEW = 'sw_avona_cleanup' FULL_TEST = """${(params.FULL_TEST_OVERRIDE || env.BRANCH_NAME == 'develop' || env.BRANCH_NAME == 'main' @@ -208,13 +208,6 @@ pipeline { } archiveArtifacts artifacts: "ic_example_output.wav", fingerprint: true } - dir("${REPO}/examples/bare-metal/vad") { - viewEnv() { - withVenv { - sh "python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/vad/bin/fwk_voice_example_bare_metal_vad.xe" - } - } - } dir("${REPO}/examples/bare-metal/pipeline_single_threaded") { viewEnv() { withVenv { @@ -300,43 +293,6 @@ pipeline { } } } - stage('VAD vad_unit_tests') { - steps { - dir("${REPO}/test/lib_vad/vad_unit_tests") { - viewEnv() { - withVenv { - sh "pytest -n 2 --junitxml=pytest_result.xml" - junit "pytest_result.xml" - } - } - } - } - } - stage('VAD compare_xc_c') { - steps { - dir("${REPO}/test/lib_vad/compare_xc_c") { - viewEnv() { - withVenv { - sh "pytest -s --junitxml=pytest_result.xml" - junit "pytest_result.xml" - } - } - } - } - } - stage('VAD test_profile') { - steps { - dir("${REPO}/test/lib_vad/test_vad_profile") { - viewEnv() { - withVenv { - sh "pytest -s --junitxml=pytest_result.xml" - junit "pytest_result.xml" - } - } - archiveArtifacts artifacts: "vad_profile_report.log", fingerprint: true - } - } - } stage('NS profile test') { steps { dir("${REPO}/test/lib_ns/test_ns_profile") { diff --git a/doc/user_guide/audio_processing/index.rst b/doc/user_guide/audio_processing/index.rst index de4fbb353..ee8eaf4ed 100644 --- a/doc/user_guide/audio_processing/index.rst +++ b/doc/user_guide/audio_processing/index.rst @@ -16,7 +16,6 @@ AUDIO FEATURES ../../../modules/lib_agc/doc/index ../../../modules/lib_adec/doc/index ../../../modules/lib_ic/doc/index - ../../../modules/lib_vad/doc/index ../../../modules/lib_vnr/doc/index EXAMPLES diff --git a/examples/bare-metal/CMakeLists.txt b/examples/bare-metal/CMakeLists.txt index 20abb5bb1..d0c19afae 100644 --- a/examples/bare-metal/CMakeLists.txt +++ b/examples/bare-metal/CMakeLists.txt @@ -4,13 +4,15 @@ set( CONFIG_XSCOPE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/shared_src/etc ) add_subdirectory( shared_src ) add_subdirectory( ic ) -add_subdirectory( vad ) + add_subdirectory( aec_1_thread ) + add_subdirectory( agc ) + add_subdirectory( pipeline_single_threaded ) -add_subdirectory( pipeline_alt_arch ) -add_subdirectory(vnr) +add_subdirectory( vnr ) + ## Multi thread example builds only on XCORE if(${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) #TODO move vad back to all examples when we can build it @@ -19,3 +21,4 @@ if(${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) add_subdirectory( pipeline_multi_threaded ) endif() +add_subdirectory( pipeline_alt_arch ) diff --git a/examples/bare-metal/pipeline_alt_arch/CMakeLists.txt b/examples/bare-metal/pipeline_alt_arch/CMakeLists.txt index eda94d00c..248b90033 100644 --- a/examples/bare-metal/pipeline_alt_arch/CMakeLists.txt +++ b/examples/bare-metal/pipeline_alt_arch/CMakeLists.txt @@ -4,89 +4,32 @@ set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/bin) if(${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) add_executable(fwk_voice_example_bare_metal_pipeline_alt_arch_mt) - file( GLOB_RECURSE SOURCES_APP ../pipeline_multi_threaded/src/*.c ) - target_sources(fwk_voice_example_bare_metal_pipeline_alt_arch_mt - PRIVATE - ${SOURCES_APP}) - - target_include_directories(fwk_voice_example_bare_metal_pipeline_alt_arch_mt - PRIVATE - ../pipeline_multi_threaded/src) - target_link_libraries(fwk_voice_example_bare_metal_pipeline_alt_arch_mt PUBLIC - fwk_voice::aec - fwk_voice::adec - fwk_voice::ns - fwk_voice::agc - fwk_voice::ic - fwk_voice::example::aec2thread - fwk_voice::example::delay_buffer - fwk_voice::example::stage_1 - fwk_voice::example::fileutils - fwk_voice::shared::calc_vnr_pred - core::xs3_math + fwk_voice_example_pipeline_multi_thread_interface ) target_compile_definitions(fwk_voice_example_bare_metal_pipeline_alt_arch_mt PRIVATE - NUM_AEC_THREADS=2 ALT_ARCH_MODE=1 ) - target_sources(fwk_voice_example_bare_metal_pipeline_alt_arch_mt - PRIVATE ../pipeline_multi_threaded/src/main.xc) - - target_compile_options(fwk_voice_example_bare_metal_pipeline_alt_arch_mt - PRIVATE "-target=${XCORE_TARGET}") - - target_link_options(fwk_voice_example_bare_metal_pipeline_alt_arch_mt - PRIVATE - "-target=${XCORE_TARGET}" - "-report" - "${CONFIG_XSCOPE_PATH}/config.xscope") endif() ####### Single thread alt arch pipeline add_executable(fwk_voice_example_bare_metal_pipeline_alt_arch_st) -file( GLOB_RECURSE SOURCES_APP ../pipeline_single_threaded/src/*.c ) -target_sources(fwk_voice_example_bare_metal_pipeline_alt_arch_st - PRIVATE - ${SOURCES_APP}) - -target_include_directories(fwk_voice_example_bare_metal_pipeline_alt_arch_st - PRIVATE - ../pipeline_single_threaded/src) - target_link_libraries(fwk_voice_example_bare_metal_pipeline_alt_arch_st PUBLIC - fwk_voice::aec - fwk_voice::adec - fwk_voice::ns - fwk_voice::agc - fwk_voice::ic - fwk_voice::example::aec1thread - fwk_voice::example::delay_buffer - fwk_voice::example::stage_1 - fwk_voice::example::fileutils - fwk_voice::shared::calc_vnr_pred - core::xs3_math + fwk_voice_example_pipeline_single_thread_interface ) target_compile_definitions(fwk_voice_example_bare_metal_pipeline_alt_arch_st PRIVATE - NUM_AEC_THREADS=1 ALT_ARCH_MODE=1 ) if(${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) - target_sources(fwk_voice_example_bare_metal_pipeline_alt_arch_st - PRIVATE ../pipeline_single_threaded/src/main.xc) - - target_compile_options(fwk_voice_example_bare_metal_pipeline_alt_arch_st - PRIVATE "-target=${XCORE_TARGET}") - target_link_options(fwk_voice_example_bare_metal_pipeline_alt_arch_st PRIVATE "-target=${XCORE_TARGET}" diff --git a/examples/bare-metal/vad/CMakeLists.txt b/examples/bare-metal/vad/CMakeLists.txt deleted file mode 100644 index e95f40523..000000000 --- a/examples/bare-metal/vad/CMakeLists.txt +++ /dev/null @@ -1,43 +0,0 @@ - -set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/bin) -add_executable(fwk_voice_example_bare_metal_vad) - -file( GLOB_RECURSE SOURCES_VAD_APP src/*.c ) -target_sources(fwk_voice_example_bare_metal_vad - PRIVATE - ${SOURCES_VAD_APP}) - -target_include_directories(fwk_voice_example_bare_metal_vad - PRIVATE - src) - -target_link_libraries(fwk_voice_example_bare_metal_vad - PUBLIC - fwk_voice::vad - fwk_voice::example::fileutils -) -if(${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) - target_sources(fwk_voice_example_bare_metal_vad - PRIVATE - src/main.xc) - - target_link_libraries(fwk_voice_example_bare_metal_vad - PUBLIC - fwk_voice::example::profile_xcore - ) - target_compile_options(fwk_voice_example_bare_metal_vad - PRIVATE - "-target=${XCORE_TARGET}" - ) - target_link_options(fwk_voice_example_bare_metal_vad - PRIVATE - "-target=${XCORE_TARGET}" - "-report" - "${CONFIG_XSCOPE_PATH}/config.xscope" - ) -else() - target_link_libraries(fwk_voice_example_bare_metal_vad - PRIVATE - m - ) -endif() diff --git a/examples/bare-metal/vad/README.rst b/examples/bare-metal/vad/README.rst deleted file mode 100644 index 61c3a5d10..000000000 --- a/examples/bare-metal/vad/README.rst +++ /dev/null @@ -1,54 +0,0 @@ - -vad -=== - -This example demonstrates how the VAD function is called on a single thread to generate an estimate of the voice probability for the input audio stream. - -In this example, a 32-bit, 1 channel wav file input.wav is read and passed to the VAD function frame by frame. -The VAD is pre-configured and pre-trained to give a high probability estimate in the presence of voice and a low probability estimate in the -absence of voice, even if there is other non-voice activity in the signal. - -Building -******** - -After configuring the CMake project, the following commands can be used from the -`fwk_voice/examples/bare-metal/vad` directory to build and run this example application using the XCORE-AI-EXPLORER board as a target: - -:: - - cd ../../../build - make fwk_voice_example_bare_metal_vad - cd ../examples/bare-metal/vad - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/vad/bin/fwk_voice_example_bare_metal_vad.xe --input input.wav - - -Output ------- - -The output from the VAD is printed to the console as an 8 bit unsigned integer which shows the estimated -VAD for each frame (240 samples) of audio passed. An excerpt from the output is show below. - -:: - - [DEVICE] frame: 159 vad: 0 - [DEVICE] frame: 160 vad: 0 - [DEVICE] frame: 161 vad: 0 - [DEVICE] frame: 162 vad: 1 - [DEVICE] frame: 163 vad: 145 - [DEVICE] frame: 164 vad: 226 - [DEVICE] frame: 165 vad: 246 - [DEVICE] frame: 166 vad: 97 - [DEVICE] frame: 167 vad: 236 - [DEVICE] frame: 168 vad: 255 - [DEVICE] frame: 169 vad: 255 - [DEVICE] frame: 170 vad: 249 - [DEVICE] frame: 171 vad: 253 - [DEVICE] frame: 172 vad: 43 - [DEVICE] frame: 173 vad: 146 - [DEVICE] frame: 174 vad: 249 - [DEVICE] frame: 175 vad: 229 - [DEVICE] frame: 176 vad: 61 - [DEVICE] frame: 177 vad: 7 - [DEVICE] frame: 178 vad: 1 - -The [DEVICE] prefix shows that the device (xCORE) has printed the line. 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zp(%({Oh(GNDOj>=Dn?QV{BE@edQY=wb2NFxhrN+&$Xs%`HxBM&_rdqx_?EBV_R -#include -#include -#include -#ifdef __XC__ -#define chanend_t chanend -#else -#include -#endif - -extern "C" { -#include "xs3_math.h" -void main_tile0(chanend, chanend); -void main_tile1(chanend); -} - -int main (void) -{ - chan c_cross_tile, xscope_chan; - par - { -#if TEST_WAV_XSCOPE - xscope_host_data(xscope_chan); -#endif - on tile[0]: { - main_tile0(c_cross_tile, xscope_chan); - _Exit(0); - } - on tile[1]: main_tile1(c_cross_tile); - } - return 0; -} diff --git a/examples/bare-metal/vad/src/vad_test_task.c b/examples/bare-metal/vad/src/vad_test_task.c deleted file mode 100644 index 747354a90..000000000 --- a/examples/bare-metal/vad/src/vad_test_task.c +++ /dev/null @@ -1,121 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. -#if !X86_BUILD -#ifdef __XC__ - #define chanend_t chanend -#else - #include -#endif -#include -#include -#endif - -#include -#include -#include -#include -#include - -#include "vad_api.h" - -#include "fileio.h" -#include "wav_utils.h" -// #include "dump_var_py.h" - -//Optionally quit processing after number of frames processed -// #define MAX_FRAMES 0 - - -#include "xs3_math.h" - -void vad_task(const char *input_file_name) { - //open files - file_t input_file; - int ret = file_open(&input_file, input_file_name, "rb"); - assert((!ret) && "Failed to open file"); - - // file_t dut_var_file; - // ret = file_open(&dut_var_file, "dut_var.py", "wb"); //Option to dump variables on each frame - // assert((!ret) && "Failed to open file"); - - wav_header input_header_struct; - unsigned input_header_size; - if(get_wav_header_details(&input_file, &input_header_struct, &input_header_size) != 0){ - printf("error in att_get_wav_header_details()\n"); - _Exit(1); - } - file_seek(&input_file, input_header_size, SEEK_SET); - if(input_header_struct.bit_depth != 32) - { - printf("Error: unsupported wav bit depth (%d) for %s file. Only 32 supported\n", input_header_struct.bit_depth, input_file_name); - _Exit(1); - } - - if(input_header_struct.num_channels != 1){ - printf("Error: wav num channels(%d) does not match ic(%u)\n", input_header_struct.num_channels, 1); - _Exit(1); - } - - - unsigned frame_count = wav_get_num_frames(&input_header_struct); - unsigned block_count = frame_count / VAD_FRAME_ADVANCE; - -#if MAX_FRAMES - if(block_count > MAX_FRAMES){ - block_count = MAX_FRAMES; - } -#endif - - //printf("num frames = %d\n",block_count); - - int32_t input_read_buffer[VAD_FRAME_ADVANCE * 1] = {0}; - - int32_t DWORD_ALIGNED input[VAD_FRAME_ADVANCE]; - - unsigned bytes_per_frame = wav_get_num_bytes_per_frame(&input_header_struct); - - //Start ic - vad_state_t state; - vad_init(&state); - - for(unsigned b=0;b \n"); - assert(0); - } - vad_task(argv[1]); - return 0; -} -#endif \ No newline at end of file diff --git a/modules/CMakeLists.txt b/modules/CMakeLists.txt index db12293c1..c4b903341 100644 --- a/modules/CMakeLists.txt +++ b/modules/CMakeLists.txt @@ -16,6 +16,4 @@ add_subdirectory( lib_ic ) add_subdirectory( lib_agc ) -add_subdirectory( lib_vad ) - add_subdirectory( lib_adec ) diff --git a/modules/lib_vad/CMakeLists.txt b/modules/lib_vad/CMakeLists.txt deleted file mode 100644 index bb3c37471..000000000 --- a/modules/lib_vad/CMakeLists.txt +++ /dev/null @@ -1,34 +0,0 @@ - -file(GLOB_RECURSE LIB_VAD_SOURCES src/*.c) -add_library(fwk_voice_module_lib_vad STATIC) - -target_sources(fwk_voice_module_lib_vad - PRIVATE - ${LIB_VAD_SOURCES} -) - -target_include_directories(fwk_voice_module_lib_vad - PUBLIC - api - src -) - -target_compile_options(fwk_voice_module_lib_vad - PRIVATE - -Os - -g -) - -target_link_libraries(fwk_voice_module_lib_vad - PUBLIC - core::xs3_math -) - -if(NOT ${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) - target_compile_definitions(fwk_voice_module_lib_vad - PRIVATE - VAD_MODULE_X86_BUILD=1) -endif() - -## Create an alias -add_library(fwk_voice::vad ALIAS fwk_voice_module_lib_vad) diff --git a/modules/lib_vad/api/vad_api.h b/modules/lib_vad/api/vad_api.h deleted file mode 100644 index 56c232144..000000000 --- a/modules/lib_vad/api/vad_api.h +++ /dev/null @@ -1,75 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#ifndef _vad_h_ -#define _vad_h_ - -#include -#include "vad_parameters.h" -#include "vad_mel.h" - -/** - * @page page_vad_api_h vad_api.h - * - * lib_vad public functions API. - * - * @ingroup vad_header_file - */ - -/** - * @defgroup vad_state IC Data Structures - */ - -/** - * @brief VAD state structure definition - * - * This structure contains state for the VAD to build an input frame - * which includes samples from the previous frame as well as a - * history of features generated by previous frames to feed into the - * neural network classifier. - * - * @ingroup vad_state - */ -typedef struct { - /** History of features generated from PCM input */ - int32_t old_features[VAD_N_OLD_FEATURES]; - /** A copy of part of the old frame to build the new frame */ - int32_t prev_frame[VAD_PROC_FRAME_LENGTH - VAD_FRAME_ADVANCE]; -} vad_state_t; - -/** - * @defgroup vad_func VAD API Functions - */ - -/** - * @brief Function that initialises a VAD instance. Must be called before vad_probability_voice - * - * @param state[inout] Pointer to a vad_state_t state structure - * - * @ingroup vad_func - */ -void vad_init(vad_state_t * state); - -/** - * @brief Function that classifies whether the recent set of samples contains voice. - * - * @param input[in] Array of samples sampled in the time domain - * It should contain VAD_FRAME_ADVANCE new samples - * since the last call - * - * @param state[inout] Reference to the state stucture. Should be - * declared as vad_state_t state. - * Prior to calling the funciton, the state must - * have been initialised with vad_init(). - * - * @returns A number from 0 to 255, where 0 indicates - * very likely not voice, and 255 indicates very - * likely voice - * - * @ingroup vad_func - */ -uint8_t vad_probability_voice(const int32_t input[VAD_FRAME_ADVANCE], - vad_state_t * state); - - -#endif diff --git a/modules/lib_vad/doc/index.rst b/modules/lib_vad/doc/index.rst deleted file mode 100755 index e2bd85add..000000000 --- a/modules/lib_vad/doc/index.rst +++ /dev/null @@ -1,34 +0,0 @@ -Voice Activity Detection Library -================================ - -Introduction -************ - -``lib_vad`` is a library providing an estimate of the probability of voice being present in an audio stream. - - -.. toctree:: - :maxdepth: 1 - :caption: Contents: - - src/getting_started - src/overview - src/reference/index - -On GitHub ---------- - -``lib_vad`` is present as part of ``fwk_voice``. Get the latest version of ``fwk_voice`` from -``https://github.com/xmos/fwk_voice``. The ``lib_vad`` module can be found in the `modules/lib_vad` directory in ``fwk_voice``. - -API ---- - -To use the functions in this library in an application, include :ref:`vad_api_h` in the application source file - - -Indices and tables -****************** - -* :ref:`genindex` -* :ref:`search` diff --git a/modules/lib_vad/doc/src/getting_started.rst b/modules/lib_vad/doc/src/getting_started.rst deleted file mode 100644 index 044fa6ab3..000000000 --- a/modules/lib_vad/doc/src/getting_started.rst +++ /dev/null @@ -1,45 +0,0 @@ -.. _getting_started: - -Getting Started -=============== - -Overview --------- - -``lib_vad`` is a library which estimates the probability of voice being present in a given stream. -``lib_vad`` library functions uses``lib_xs3_math`` to perform DSP using low-level optimised operations. - -Repository Structure --------------------- - -* ``modules/lib_vad`` - The actual ``lib_vad`` library directory within ``https://github.com/xmos/fwk_voice/``. - Within ``lib_vad``: - - * ``api/`` - Header file containing the public API for ``lib_vad``. - * ``doc/`` - Library documentation source (for non-embedded documentation) and build directory. - * ``src/`` - Library source code. - - -Requirements ------------- - -``lib_vad`` is included as part of the ``fwk_voice`` github repository -and all requirements for cloning and building ``fwk_voice`` apply. ``lib_vad`` is compiled as a static library as part of -overall ``fwk_voice`` build. It depends on ``lib_xs3_math``. - -API Structure -------------- - -The API is presented as two simple functions. These are initialisation and processing. Initialisation is called once -at startup and processing is called once per frame of samples. The performance requirement is relative low (around 5MIPS) -and as such is supplied as a single threaded implementation only. - - -Getting and Building --------------------- - -This repo is obtained as part of the parent ``fwk_voice`` repo clone. It is -compiled as a static library as part of ``fwk_voice`` compilation process. - -To include ``lib_vad`` in an application as a static library, the generated ``libfwk_voice_module_lib_vad.a`` can then be linked into the -application. Be sure to also add ``lib_vad/api`` as an include directory for the application. diff --git a/modules/lib_vad/doc/src/overview.rst b/modules/lib_vad/doc/src/overview.rst deleted file mode 100755 index e1eaafd8e..000000000 --- a/modules/lib_vad/doc/src/overview.rst +++ /dev/null @@ -1,23 +0,0 @@ -.. _vad_overview: - -VAD Overview -============ - -The VAD (Voice Activity Detector) takes a stream of audio and estimates the probability of voice being present. - -It takes one frame at a time, each of `VAD_FRAME_ADVANCE` samples, generates and keeps a history of audio features including MFCCs -(Mel-Frequency Cepstral Coefficients). These audio features are fed into a classifier consisting of a pre-trained -neural network which calculates the voice probability estimate. - -VAD signals can be very helpful in voice processing pipelines. They provide an approximation of SNR ( -Signal to Noise Ratio). Applications for VAD include intelligent power management, control of adaptive -filters for reducing noise sources and improved performance of AGC (Automatic Gain Control) blocks that -provide a more natural listening experience. - -Before starting the VAD estimation the user must call vad_init() to initialise the VAD sate. There are no user configurable -parameters within the VAD and so no arguments are required and configuration structures need be tuned. - -Once the VAD is initialised, the process function should be called on a frame by frame basis. If a break in VAD -estimation is required then the initialisation function should be re-called before VAD is resumed. It will take -eight frames to be pushed (around 120ms) before VAD will be fully detecting voice activity. - diff --git a/modules/lib_vad/doc/src/reference/api.rst b/modules/lib_vad/doc/src/reference/api.rst deleted file mode 100644 index e8192c2db..000000000 --- a/modules/lib_vad/doc/src/reference/api.rst +++ /dev/null @@ -1,7 +0,0 @@ -.. _vad_func: - -`lib_vad` API Functions -======================= - -.. doxygengroup:: vad_func - :content-only: \ No newline at end of file diff --git a/modules/lib_vad/doc/src/reference/header_files.rst b/modules/lib_vad/doc/src/reference/header_files.rst deleted file mode 100644 index 07361eb6c..000000000 --- a/modules/lib_vad/doc/src/reference/header_files.rst +++ /dev/null @@ -1,16 +0,0 @@ -.. _vad_header_files: - -`lib_vad` Header Files -====================== - -.. _vad_api_h: - -`vad_api.h` ------------- - -.. doxygenpage:: page_vad_api_h - :content-only: - - - - diff --git a/modules/lib_vad/doc/src/reference/index.rst b/modules/lib_vad/doc/src/reference/index.rst deleted file mode 100644 index 558ca4125..000000000 --- a/modules/lib_vad/doc/src/reference/index.rst +++ /dev/null @@ -1,10 +0,0 @@ - -API Reference -============= - - .. toctree:: - :maxdepth: 1 - - api - state - header_files \ No newline at end of file diff --git a/modules/lib_vad/doc/src/reference/state.rst b/modules/lib_vad/doc/src/reference/state.rst deleted file mode 100644 index 11ed18aa9..000000000 --- a/modules/lib_vad/doc/src/reference/state.rst +++ /dev/null @@ -1,8 +0,0 @@ -.. _vad_state: - -`lib_vad` API State Structure -============================= - - .. doxygengroup:: vad_state - :members: - :content-only: diff --git a/modules/lib_vad/lib_vad.cmake b/modules/lib_vad/lib_vad.cmake deleted file mode 100644 index 1cc442a09..000000000 --- a/modules/lib_vad/lib_vad.cmake +++ /dev/null @@ -1,15 +0,0 @@ -## Source files -file( GLOB_RECURSE LIB_VAD_C_SOURCES src/*.c ) - -set( LIB_VAD_INCLUDES ${CMAKE_CURRENT_LIST_DIR}/api ${CMAKE_CURRENT_LIST_DIR}/src ) - -unset(LIB_VAD_SOURCES_XCORE) -list( APPEND LIB_VAD_SOURCES_XCORE ${LIB_VAD_ASM_SOURCES} ) - -unset(LIB_VAD_SOURCES) -list( APPEND LIB_VAD_SOURCES ${LIB_VAD_C_SOURCES}) -list( APPEND LIB_VAD_SOURCES ${LIB_VAD_SOURCES_${CMAKE_SYSTEM_NAME}} ) - - -## cmake doesn't recognize .S files as assembly by default -set_source_files_properties( ${LIB_XS3_MATH_ASM_SOURCES} PROPERTIES LANGUAGE ASM ) diff --git a/modules/lib_vad/src/vad.c b/modules/lib_vad/src/vad.c deleted file mode 100644 index 8ffde346b..000000000 --- a/modules/lib_vad/src/vad.c +++ /dev/null @@ -1,364 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#include -#include -#include -#include -#include -#include "vad_api.h" -#include "vad_parameters.h" -#include "vad_nn_coefficients.h" -#include "vad_mel_scale.h" -#include "vad_normalisation.h" -#include "vad_window.h" -#include "vad_mel.h" -#include "vad_dct.h" -#include "xs3_math.h" -#include "vad_helpers.h" - -#if VAD_MODULE_X86_BUILD -#define clz(v) clz_sim(v) -#endif - -headroom_t vad_xs3_math_fft(int32_t * curr, int nq){ - - complex_s32_t* curr_fd = (complex_s32_t*)curr; - - //Ensure we have 2b headroom as required by xs3_math - exponent_t x_exp = -31; - headroom_t original_hr = xs3_vect_s32_headroom(curr, VAD_PROC_FRAME_LENGTH); - headroom_t xs3_output_hr = original_hr; - - right_shift_t x_shr = 2 - original_hr; - xs3_vect_s32_shl(curr, curr, VAD_PROC_FRAME_LENGTH, -x_shr); - xs3_output_hr += x_shr; x_exp += x_shr; - - xs3_fft_index_bit_reversal(curr_fd, VAD_PROC_FRAME_BINS); - xs3_fft_dit_forward(curr_fd, VAD_PROC_FRAME_BINS, &xs3_output_hr, &x_exp); - xs3_fft_mono_adjust(curr_fd, VAD_PROC_FRAME_LENGTH, 0); - - if(nq){ - curr_fd[VAD_PROC_FRAME_BINS].re = curr_fd[0].im; - curr_fd[0].im = 0; - curr_fd[VAD_PROC_FRAME_BINS].im = 0; - } - //Now adjust exponent to match output of lib_dsp - //This is tedious as BFP result is same but we need identical matnissas - //next stage in the VAD pipelines - exponent_t lib_dsp_exp = VAD_LOG_WINDOW_LENGTH - original_hr; - exponent_t xs3_math_exp = x_exp + 31; - right_shift_t exp_adjust = lib_dsp_exp - xs3_math_exp; - xs3_vect_s32_shr(curr, curr, VAD_PROC_FRAME_LENGTH, exp_adjust); - x_exp += exp_adjust; - - return original_hr; -} - -int32_t vad_spectral_centroid_Hz(complex_s32_t * p, uint32_t N) { - uint64_t sum = 0, tav = 0; -#if VAD_MODULE_X86_BUILD - int logN = 31 - clz_sim(N); -#else - // http://bugzilla/show_bug.cgi?id=18641 - int bits = (N == 0) ? 32 : clz(N); - int logN = 31 - bits; -#endif - - for(int i = 0; i < N; i++) { - uint32_t energy = (p[i].re * (int64_t) p[i].re + - p[i].im * (int64_t) p[i].im) >> 32; // 1 bit headroom - sum += (energy * i * 8000ULL) >> logN; - tav += energy; - } - uint64_t div = tav; - if (div == 0){ - return sum; - } - return sum / div; -} - -int32_t vad_spectral_spread_Hz(complex_s32_t * p, uint32_t N, - int32_t spectral_centroid) { -#if VAD_MODULE_X86_BUILD - int logN = 31 - clz_sim(N); -#else - // http://bugzilla/show_bug.cgi?id=18641 - int bits = (N == 0) ? 32 : clz(N); - int logN = 31 - bits; -#endif - uint64_t sum = 0, tav = 0; - uint32_t headroom = 0; - if (logN > 5) { - headroom = logN - 5; - } - for(int i = 0; i < N; i++) { - uint32_t energy = (p[i].re * (int64_t) p[i].re + - p[i].im * (int64_t) p[i].im) >> 32; // 1 bit headroom - int32_t c = ((i * 8000) >> logN) - spectral_centroid; - uint32_t variance = c * c; - sum += (energy * (uint64_t) variance) >> headroom; - tav += energy; - } - uint64_t div = tav >> headroom; - if (div == 0){ - return sum; - } - return sum / div; -} - - -void vad_fc_layer( int64_t output[], const size_t num_out, - const int32_t input[], const size_t num_in, - const int32_t weights[]){ - - const int num_bias = 1; //One bias value before the weights in the weights array - - for(int o = 0; o < num_out; o++) { - int bias_idx = (num_bias + num_in) * o; - int64_t bias = ((int64_t)weights[bias_idx] << VAD_AI_NN_VALUE_Q); - - int weights_idx = bias_idx + num_bias; - int64_t dot = xs3_vect_s32_dot( &weights[weights_idx], - input, - num_in, - 0, 0); - - int64_t node = (dot << 30) + bias; //30 bit shift is an atrefact of xs3_vect_s32_dot - output[o] = node; - } -} - - -void vad_reduce_relu(int32_t activated[], const int64_t raw_layer[], const size_t N){ - for(int i=0; i < N; i++){ - const int64_t max = 0x7fffffffLL << VAD_AI_NN_WEIGHT_Q; - int64_t clamped_relu = raw_layer[i]; - if (clamped_relu > max){ - clamped_relu = max; - }else if(clamped_relu < 0){ - clamped_relu = 0; - } - activated[i] = clamped_relu >> VAD_AI_NN_WEIGHT_Q; - } -} - -void vad_reduce_sigmoid(int32_t out_data[], - const int64_t in_data[], - const size_t N) { - for(uint32_t i = 0; i < N; i++) { - int32_t shift = VAD_AI_NN_OUTPUT_Q - 24; - int64_t x = in_data[i]; - long long max = 0x7fffffffLL << shift; - if (x > max){ - x = max; - } - if (x < -max - 1){ - x = -max - 1; - } - int32_t in_32 = x >> shift; - out_data[i] = vad_math_logistics_fast(in_32); - } -} - - -void vad_form_frame(int32_t * current, const int32_t * input, int32_t * prev){ - - memcpy(current, prev, (VAD_PROC_FRAME_LENGTH - VAD_FRAME_ADVANCE) * sizeof(int32_t)); - memcpy(¤t[VAD_PROC_FRAME_LENGTH - VAD_FRAME_ADVANCE], input, VAD_FRAME_ADVANCE * sizeof(int32_t)); - - memcpy(prev, &prev[VAD_FRAME_ADVANCE], (VAD_PROC_FRAME_LENGTH - (2 * VAD_FRAME_ADVANCE)) * sizeof(int32_t)); - memcpy(&prev[VAD_PROC_FRAME_LENGTH - (2 * VAD_FRAME_ADVANCE)], input, VAD_FRAME_ADVANCE * sizeof(int32_t)); -} - -void vad_init(vad_state_t *state) { - memset(state, 0, sizeof(vad_state_t)); -} - -#define PRINT_ME 0 -#define PRINT_ALL 0 - -uint8_t vad_probability_voice(const int32_t input[VAD_FRAME_ADVANCE], - vad_state_t * state){ - int32_t DWORD_ALIGNED curr[VAD_PROC_FRAME_LENGTH + 2]; - int32_t mel[VAD_N_MEL_SCALE + 1]; - int32_t dct_input[VAD_N_DCT]; - int32_t dct_output[VAD_N_DCT]; - int32_t features[VAD_N_FEATURES_PER_FRAME]; - int32_t nn_features[VAD_N_FEATURES]; - - int64_t hidden_nodes_full[N_VAD_HIDDEN]; - int32_t hidden_nodes_normal[N_VAD_HIDDEN]; - - int64_t outputs_nodes_full[N_VAD_OUTPUTS]; - int32_t outputs_nodes_normal[N_VAD_OUTPUTS]; - - -#if PRINT_ME && PRINT_ALL - printf("INP "); - for(int i = 0; i < VAD_WINDOW_LENGTH; i++) { - printf("%d ", input[i]); - } - printf("\n"); -#endif - - //240 -> 512 packing - vad_form_frame(curr, input, state->prev_frame); - - for(int i = 0; i < VAD_PROC_FRAME_LENGTH; i++) { - curr[i] = (curr[i] * (int64_t)vad_window[i]) >> 31; - } - //bfp_s32_mul(frame, window); - -#if PRINT_ME && PRINT_ALL - printf("WINDOWED "); - for(int i = 0; i < VAD_WINDOW_LENGTH; i++) { - printf("%d ", curr[i]); - } - printf("\n"); -#endif - - headroom_t headroom = vad_xs3_math_fft(curr, 1); - complex_s32_t* curr_fd = (complex_s32_t*)curr; - - -#if PRINT_ME && PRINT_ALL - printf("NEW SPECTRAL "); - for(int i = 0; i < VAD_WINDOW_LENGTH/2; i++) { - printf("%ld %ld ", input[i].re, input[i].im); - } - printf("\n"); -#endif - - // Compute spectral centroid and spread; in 32.0 format - int32_t spectral_centroid = vad_spectral_centroid_Hz(curr_fd, VAD_PROC_FRAME_BINS); - - int32_t spectral_spread = vad_spectral_spread_Hz(curr_fd, VAD_PROC_FRAME_BINS, spectral_centroid); - - // Compute MEL frequencies; 41 of them (including first one), compensate - // for 2 * logN bits that are lost in the FFT. - vad_mel_compute_new(mel, VAD_N_MEL_SCALE + 1, curr_fd, VAD_WINDOW_LENGTH / 2, vad_mel_table24_512, 2 * VAD_LOG_WINDOW_LENGTH - 2 * headroom); - - // Mel coefficients are in 8.24; make them in 16.16 format for headroom - for(int i = 0; i < VAD_N_MEL_SCALE; i++) { - dct_input[i] = (mel[i + 1] >> 8); // create headroom. - } - -#if PRINT_ME - printf("MEL "); - for(int i = 0; i < 24; i++) { - printf("%5.2f ", dct_input[i]/65536.0); - } - printf("\n"); -#endif - - // And take DCT -#if (VAD_N_DCT != 24) - #error VAD_N_DCT must be 24 -#endif - - vad_dct_forward24(dct_output, dct_input); - - // Python multiplies DCT by 2 so match model - for(int i = 0; i < VAD_N_DCT; i++) { - dct_output[i] *= 2; - } - -#if PRINT_ME - printf("DCT "); - for(int i = 0; i < 24; i++) { - printf("%5.2f ", dct_output[i]/65536.0); - } - printf("\n"); -#endif - - features[0] = spectral_centroid; - features[1] = spectral_spread; - for(int i = 0; i < VAD_N_FEATURES_PER_FRAME - 3; i++) { - features[i + 2] = dct_output[i + 1]; - } - features[VAD_N_FEATURES_PER_FRAME - 1] = dct_output[0] - state->old_features[VAD_N_OLD_FEATURES - 1]; - - - for(int i = VAD_N_OLD_FEATURES - 2; - i >= VAD_N_OLD_FEATURES - VAD_FRAME_STRIDE; - i--) { - state->old_features[i + 1] = state->old_features[i]; - } - state->old_features[VAD_N_OLD_FEATURES-VAD_FRAME_STRIDE] = dct_output[0] ; -#if PRINT_ME - printf("Old DCT0: "); - for(int i = VAD_N_OLD_FEATURES - VAD_FRAME_STRIDE; - i < VAD_N_OLD_FEATURES ; - i++) { - printf("%5.2f ", old_features[i]/(65536.0)); - } - printf("\nNormalised: "); - for(int i = 0; i < VAD_N_FEATURES_PER_FRAME; i++) { - printf("%5.2f ", features[i]/(i < 2 ? 1.0: 65536.0)); - } - printf("\n"); -#endif - features[VAD_N_FEATURES_PER_FRAME - 1] = - (((long long)(features[VAD_N_FEATURES_PER_FRAME - 1] - vad_mus[VAD_N_FEATURES_PER_FRAME - 1])) << 24) / vad_sigmas[VAD_N_FEATURES_PER_FRAME - 1]; - - for(int i = 0; i < VAD_N_FEATURES_PER_FRAME-1; i++) { - features[i] = (((long long)(features[i] - vad_mus[i])) << 24) / vad_sigmas[i]; - } - - // First copy features over into input for NN, both current and old data - for(int i = 0; i < VAD_N_FEATURES_PER_FRAME; i++) { - nn_features[i] = features[i]; - } - int oindex = VAD_N_FEATURES_PER_FRAME; - // Old data has to be picked up strided - for(int i = (VAD_FRAME_STRIDE - 1) * VAD_N_FEATURES_PER_FRAME; i < VAD_N_OLD_FEATURES - 1 - VAD_FRAME_STRIDE; i += VAD_FRAME_STRIDE * VAD_N_FEATURES_PER_FRAME) { - for(int j = 0; j < VAD_N_FEATURES_PER_FRAME; j++) { - nn_features[oindex] = state->old_features[i + j]; - oindex++; - } - } - - // Now copy old data back; keeping an extra dMFCC0. - //old_features[VAD_N_OLD_FEATURES-1] = old_features[VAD_N_OLD_FEATURES-2]; - for(int i = VAD_N_OLD_FEATURES - VAD_N_FEATURES_PER_FRAME - 1 - VAD_FRAME_STRIDE; i >= 0; i--) { - state->old_features[i+VAD_N_FEATURES_PER_FRAME] = state->old_features[i]; - } - for(int i = 0; i < VAD_N_FEATURES_PER_FRAME; i++) { - state->old_features[i] = features[i]; - } - -#if PRINT_ME - for(int i = 0; i < VAD_N_FEATURES; i++) { - if (i % 26 == 0) printf("Features[%d..%d] ", i, i+25); - printf("%5.2f ", nn_features[i]/65536.0/256.0); - if (i % 26 == 25) printf("\n"); - } - printf("\n"); -#endif - - vad_fc_layer( hidden_nodes_full, N_VAD_HIDDEN, - nn_features, N_VAD_INPUTS, - hidden_coeffs); - - vad_reduce_relu(hidden_nodes_normal, hidden_nodes_full, N_VAD_HIDDEN); - - vad_fc_layer(outputs_nodes_full, N_VAD_OUTPUTS, - hidden_nodes_normal, N_VAD_HIDDEN, - outputs_coeffs); - - vad_reduce_sigmoid(outputs_nodes_normal, outputs_nodes_full, N_VAD_OUTPUTS); - - -#if PRINT_ME - for(int i = 0; i < N_VAD_HIDDEN; i++) { - printf("Hidden node %d pre RELU %7.4f, post RELU %7.4f\n", i, hidden_nodes_full[i]/(float)(1LL << 48), hidden_nodes_normal[i]/(float)(1<<24)); - } - for(int i = 0; i < N_VAD_OUTPUTS; i++) { - printf("Final Node %d pre Sigmoid %7.4f, post Sigmoid %7.4f %08x ", i, outputs_nodes_full[i]/(float)(1LL << 48), outputs_nodes_normal[i]/(float)(1<<24), outputs_nodes_normal[i] ); - } -#endif - - // Note reduce sigmoid outputs maximum 0.999999 in 8.24 format so this cannot overflow 255 - return (uint8_t)(outputs_nodes_normal[0] >> 16); -} diff --git a/modules/lib_vad/src/vad_dct.c b/modules/lib_vad/src/vad_dct.c deleted file mode 100644 index 88529ca99..000000000 --- a/modules/lib_vad/src/vad_dct.c +++ /dev/null @@ -1,74 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - - -// See lib_dsp for original source code -#include "vad_dct.h" - -static const int32_t costable6[3] = { - 2074309917, - 1518500250, - 555809667, -}; - -static const int32_t costable12[6] = { - 2129111628, - 1984016189, - 1703713325, - 1307305214, - 821806413, - 280302863, -}; - -static const int32_t costable24[12] = { - 2142885721, - 2106220352, - 2033516969, - 1926019547, - 1785567396, - 1614563692, - 1415934356, - 1193077991, - 949807730, - 690285996, - 418953276, - 140452151, -}; - -static inline int32_t mulcos(int32_t x, int32_t cos) { - long long r = cos * (long long) x; - return r >> 31; -} - -#define DCT(N,M) \ -void vad_dct_forward##N(int32_t output[N], const int32_t input[N]) { \ - int32_t temp[(N) / 2], temp2[(N) / 2]; \ - for(int32_t i = 0; i < (N) / 2; i++) { \ - temp[i] = input[i] + input[(N) - 1 - i]; \ - } \ - vad_dct_forward##M(temp2, temp); \ - for(int32_t i = 0; i < (N) / 2; i++) { \ - output[2 * i] = temp2[i]; \ - } \ - for(int32_t i = 0; i < (N) / 2; i++) { \ - int32_t z = input[i] - input[(N) - 1 - i]; \ - temp[i] = mulcos(z, costable##N[i]); \ - } \ - vad_dct_forward##M(temp2, temp); \ - int32_t last = temp2[0]; \ - output[1] = last; \ - for(int32_t i = 1; i < (N) / 2; i++) { \ - last = temp2[i] * 2 - last; \ - output[2 * i + 1] = last; \ - } \ -} - -void vad_dct_forward3(int32_t output[3], const int32_t input[3]) { - output[0] = input[0] + input[1] + input[2]; - output[1] = mulcos(input[0] - input[2], 1859775393); - output[2] = ((input[0] + input[2]) >> 1) - input[1]; -} - -DCT(6,3) -DCT(12,6) -DCT(24,12) diff --git a/modules/lib_vad/src/vad_dct.h b/modules/lib_vad/src/vad_dct.h deleted file mode 100644 index 7e8aaa2df..000000000 --- a/modules/lib_vad/src/vad_dct.h +++ /dev/null @@ -1,21 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -// See lib_dsp for original source code -#ifndef VAD_DCT_H_ -#define VAD_DCT_H_ - -#include "stdint.h" - -/** This function performs a 24 point DCT - * - * The first output is the DC value, subsequent values are the values for - * the basis vectors of half a cosine, a whole cosine, 1.5 cosine, 2 - * consines, etc. - * - * \param input input values to the DCT - * \param output DCT values. - */ -void vad_dct_forward24(int32_t output[24], const int32_t input[24]); - -#endif diff --git a/modules/lib_vad/src/vad_helpers.c b/modules/lib_vad/src/vad_helpers.c deleted file mode 100644 index ebc1553dc..000000000 --- a/modules/lib_vad/src/vad_helpers.c +++ /dev/null @@ -1,101 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#include -#include - -// Naive implementation -int clz_sim(uint32_t x) -{ - int leading = 0; - for(int i = 31; i >= 0; i--){ - if(x >> i){ - return leading; - } - leading++; - } - return leading; -} - - -/* LMUL NOTES - op1, op4, op2, op3, op5, op6 - - uint64_t result = (uint64_t)op2 * (uint64_t)op3; - result = result + (uint64_t)op5 + (uint64_t)op6; - - op4 = (unsigned int)result; - op1 = (unsigned int)(result >> 32); -*/ - -void mul_mel_sim(uint32_t * h, uint32_t * l, uint32_t scale) { - - // asm("lmul %0, %1, %2, %3, %4, %5" : "=r" (hi), "=r" (li) : "r" (scale), "r" (l), "r" (0), "r" (0)); - uint64_t result = (uint64_t)(*l) * (uint64_t)scale; - uint32_t hi = (uint32_t) (result >> 32); - - // asm("lmul %0, %1, %2, %3, %4, %5" : "=r" (h), "=r" (l) : "r" (scale), "r" (h), "r" (hi), "r" (0)); - result = (uint64_t)(*h) * (uint64_t)scale; - result += hi; - - *h = (uint32_t)(result >> 32); - *l = (uint32_t)result; -} - - -/* LADD NOTES - op4, op1, op2, op3, op5 - - uint64_t result = ((uint64_t)op2 + (uint64_t)op3) + ((uint64_t)op5 & 0x1); - - op1 = (unsigned int) result; - op4 = (unsigned int) (result >> 32) & 0x1; -*/ - -void add_unsigned_hl_sim(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l) { - // uint32_t cout, cou2; - // asm("ladd %0, %1, %2, %3, %4" : "=r" (cout), "=r" (sumL) : "r" (sumL), "r" (l), "r" (0)); - uint64_t result = (uint64_t)(*sumL) + (uint64_t)l; - *sumL = (uint32_t)result; - uint32_t cout = (uint32_t)(result >> 32); - - // asm("ladd %0, %1, %2, %3, %4" : "=r" (cou2), "=r" (sumH) : "r" (sumH), "r" (h), "r" (cout)); - result = (uint64_t)(*sumH) + (uint64_t)h + (uint64_t)(cout); - - *sumH = (uint32_t)result; -} - -const int32_t log_slope[8] = {1015490930, 640498971, 297985800, 120120271, 46079377, 17219453, 6371555, 3717288}; -const int32_t log_offset[8] = {8388608, 9853420, 12529304, 14613666, 15770555, 16334225, 16588473, 16661050}; - -int32_t vad_math_logistics_fast(int32_t x){ - int32_t r11 = clz_sim(x); - int32_t r1 = ~ x; - int32_t r2 = r1 >> 24; - // zero is default - int32_t r3 = 0; - int32_t mask = 0x00ffffff; - if(r11){ - r1 = x >> 24; - r2 = x + 0; - r11 = r1 >> 3; - if(r11){ - return mask; - } - r3 = log_slope[r1]; - x = log_offset[r1]; - int64_t acc = ((int64_t)x << 32) + (int64_t)r11; - acc += (int64_t)r3 * (int64_t)r2; - return (int32_t)(acc >> 32); - } - r11 = r2 >>3; - if(r11){ - return 0; - } - r3 = log_slope[r2]; - r2 = log_offset[r2]; - int64_t acc = ((int64_t)r2 << 32) + (int64_t)r11; - acc += (int64_t)r3 * (int64_t)r1; - x = mask - (int32_t)(acc >> 32); - return x; -} diff --git a/modules/lib_vad/src/vad_helpers.h b/modules/lib_vad/src/vad_helpers.h deleted file mode 100644 index 8493ac757..000000000 --- a/modules/lib_vad/src/vad_helpers.h +++ /dev/null @@ -1,17 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#ifndef VAD_HELPERS_H -#define VAD_HELPERS_H - -int32_t vad_math_logistics_fast(int32_t x); - -#if !VAD_MODULE_X86_BUILD - #include -#else - int clz_sim(uint32_t x); - void mul_mel_sim(uint32_t * h, uint32_t * l, uint32_t scale); - void add_unsigned_hl_sim(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l); -#endif - -#endif diff --git a/modules/lib_vad/src/vad_mel.h b/modules/lib_vad/src/vad_mel.h deleted file mode 100644 index cda65cf60..000000000 --- a/modules/lib_vad/src/vad_mel.h +++ /dev/null @@ -1,22 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#ifndef _vad_mel_h_ -#define _vad_mel_h_ - -#include -#include "bfp_math.h" - -#define VAD_MEL_BITS 24 -#define VAD_MEL_MAX (1 << VAD_MEL_BITS) - -//For unit test -#ifdef __XC__ - #include "dsp.h" -#else - void vad_mel_compute_new(int32_t melValues[], uint32_t M, - complex_s32_t pts[], uint32_t N, - const uint32_t melTable[], - int32_t extra_shift) ; -#endif -#endif diff --git a/modules/lib_vad/src/vad_mel_compute.c b/modules/lib_vad/src/vad_mel_compute.c deleted file mode 100644 index 09125e794..000000000 --- a/modules/lib_vad/src/vad_mel_compute.c +++ /dev/null @@ -1,147 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#include -#include -#include "vad_helpers.h" -#include "vad_mel.h" - -#define LOOKUP_PRECISION 8 -#define MEL_PRECISION 24 - -#if VAD_MODULE_X86_BUILD -#define mul_mel(h, l, s) mul_mel_sim(h, l, s) -#define add_unsigned_hl(sumH, sumL, h, l) add_unsigned_hl_sim(sumH, sumL, h, l) -#else -static inline void mul_mel(uint32_t * h, uint32_t * l, - uint32_t scale) { - uint32_t hi, li; - uint32_t vl = *l; - uint32_t vh = *h; - asm("lmul %0, %1, %2, %3, %4, %5" : "=r" (hi), "=r" (li) : "r" (scale), "r" (vl), "r" (0), "r" (0)); - asm("lmul %0, %1, %2, %3, %4, %5" : "=r" (vh), "=r" (vl) : "r" (scale), "r" (vh), "r" (hi), "r" (0)); - *h = vh; - *l = vl; -} - -static inline void add_unsigned_hl(uint32_t * sumH, uint32_t * sumL, - uint32_t h, uint32_t l) { - uint32_t cout, cou2; - uint32_t vL = *sumL; - uint32_t vH = *sumH; - asm("ladd %0, %1, %2, %3, %4" : "=r" (cout), "=r" (vL) : "r" (vL), "r" (l), "r" (0)); - asm("ladd %0, %1, %2, %3, %4" : "=r" (cou2), "=r" (vH) : "r" (vH), "r" (h), "r" (cout)); - *sumL = vL; - *sumH = vH; -} -#endif - -static const int lookup[33] = { - 0, 11, 22, 33, 43, 53, 63, 73, - 82, 91, 100, 109, 117, 125, 134, 141, - 149, 157, 164, 172, 179, 186, 193, 200, - 206, 213, 219, 225, 232, 238, 244, 250, - 256 -}; - - - -int lookup_small_log2_linear_new(uint32_t x) { - int mask_bits = 26; - int mask = (1 << mask_bits) - 1; - int y = (x >> mask_bits) - 32; - int y1 = y + 1; - int v0 = lookup[y], v1 = lookup[y1]; - int f1 = x & mask; - int f0 = mask + 1 - f1; - return (v0 * (uint64_t) f0 + v1 * (uint64_t) f1) >> (mask_bits - (MEL_PRECISION - LOOKUP_PRECISION)); -} - -int log_exponent_new(uint32_t h, uint32_t l, uint32_t logN) { -#if VAD_MODULE_X86_BUILD - int bits = clz_sim(h); -#else - // http://bugzilla.xmos.local/show_bug.cgi?id=18641 - int bits = (h == 0) ? 32 : clz(h); -#endif - // zeros are defaults here - uint32_t x = 0; - uint32_t exponent = 0; - if (bits == 32) { -#if VAD_MODULE_X86_BUILD - bits = clz_sim(l); -#else - // http://bugzilla.xmos.local/show_bug.cgi?id=18641 - bits = (l == 0) ? 32 : clz(l); -#endif - - if (bits == 32) { - return -1000; - } - x = l << bits; - exponent = 32 - bits; - } else { - x = h << bits | l >> (32 - bits); - exponent = 64 - bits; - } - uint32_t log2 = lookup_small_log2_linear_new(x) + ((exponent - 1 + logN) << MEL_PRECISION); - uint32_t ln2 = 2977044472; - return (log2 * (uint64_t) ln2) >> 32; -} - -void vad_mel_compute_new(int32_t melValues[], uint32_t M, - complex_s32_t pts[], uint32_t N, - const uint32_t melTable[], - int32_t extraShift) { - - extraShift += (32 - VAD_MEL_BITS); - - uint32_t sumEvenH = 0, sumOddH = 0; - uint32_t sumEvenL = 0, sumOddL = 0; - int mels = 0; - - for(int i = 0; i < M; i++) { - melValues[i] = 0; - } - - for(int i = 0; i <= N; i++) { - uint64_t s = pts[i].re * (uint64_t) pts[i].re + pts[i].im * (uint64_t) pts[i].im; - uint32_t h = s >> 32; - uint32_t l = s & 0xffffffff; - uint32_t ho = h; - uint32_t lo = l; - - uint32_t scale = melTable[i]; - if (scale == 0 && i != 0) { - int log = log_exponent_new(sumEvenH, sumEvenL, extraShift); - if(i < N){ - melValues[mels++] = log; - } - sumEvenH = 0; - sumEvenL = 0; - } else { - mul_mel(&h, &l, scale); - add_unsigned_hl(&sumEvenH, &sumEvenL, h, l); - } - scale = VAD_MEL_MAX - scale; - if (scale == 0) { - int32_t log = log_exponent_new(sumOddH, sumOddL, extraShift); - melValues[mels++] = log; - sumOddH = 0; - sumOddL = 0; - } else { - mul_mel(&ho, &lo, scale); - add_unsigned_hl(&sumOddH, &sumOddL, ho, lo); - } - } -} - - -//To access the inlines from unit testsing -void mul_mel_unit_test(uint32_t * h, uint32_t * l, uint32_t scale) { - mul_mel(h, l, scale); -} -void add_unsigned_hl_unit_test(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l) { - add_unsigned_hl(sumH, sumL, h, l); -} - diff --git a/modules/lib_vad/src/vad_mel_scale.c b/modules/lib_vad/src/vad_mel_scale.c deleted file mode 100644 index 212afa270..000000000 --- a/modules/lib_vad/src/vad_mel_scale.c +++ /dev/null @@ -1,267 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#include "vad_mel_scale.h" - -// Auto generated file - do not hand edit -// Generated from Python model - -const uint32_t vad_mel_table24_512[257] = { - 0, - 8388608, - 16777216, - 11184810, - 5592405, - 0, - 8388608, - 16777216, - 12582912, - 8388608, - 4194304, - 0, - 5592405, - 11184810, - 16777216, - 12582912, - 8388608, - 4194304, - 0, - 3355443, - 6710886, - 10066329, - 13421772, - 16777216, - 12582912, - 8388608, - 4194304, - 0, - 2796202, - 5592405, - 8388608, - 11184810, - 13981013, - 16777216, - 13981013, - 11184810, - 8388608, - 5592405, - 2796202, - 0, - 2796202, - 5592405, - 8388608, - 11184810, - 13981013, - 16777216, - 14380470, - 11983725, - 9586980, - 7190235, - 4793490, - 2396745, - 0, - 2097152, - 4194304, - 6291456, - 8388608, - 10485760, - 12582912, - 14680064, - 16777216, - 14913080, - 13048945, - 11184810, - 9320675, - 7456540, - 5592405, - 3728270, - 1864135, - 0, - 1677721, - 3355443, - 5033164, - 6710886, - 8388608, - 10066329, - 11744051, - 13421772, - 15099494, - 16777216, - 15252014, - 13726813, - 12201611, - 10676410, - 9151208, - 7626007, - 6100805, - 4575604, - 3050402, - 1525201, - 0, - 1398101, - 2796202, - 4194304, - 5592405, - 6990506, - 8388608, - 9786709, - 11184810, - 12582912, - 13981013, - 15379114, - 16777216, - 15486660, - 14196105, - 12905550, - 11614995, - 10324440, - 9033885, - 7743330, - 6452775, - 5162220, - 3871665, - 2581110, - 1290555, - 0, - 1198372, - 2396745, - 3595117, - 4793490, - 5991862, - 7190235, - 8388608, - 9586980, - 10785353, - 11983725, - 13182098, - 14380470, - 15578843, - 16777216, - 15790320, - 14803425, - 13816530, - 12829635, - 11842740, - 10855845, - 9868950, - 8882055, - 7895160, - 6908265, - 5921370, - 4934475, - 3947580, - 2960685, - 1973790, - 986895, - 0, - 986895, - 1973790, - 2960685, - 3947580, - 4934475, - 5921370, - 6908265, - 7895160, - 8882055, - 9868950, - 10855845, - 11842740, - 12829635, - 13816530, - 14803425, - 15790320, - 16777216, - 15938355, - 15099494, - 14260633, - 13421772, - 12582912, - 11744051, - 10905190, - 10066329, - 9227468, - 8388608, - 7549747, - 6710886, - 5872025, - 5033164, - 4194304, - 3355443, - 2516582, - 1677721, - 838860, - 0, - 762600, - 1525201, - 2287802, - 3050402, - 3813003, - 4575604, - 5338205, - 6100805, - 6863406, - 7626007, - 8388608, - 9151208, - 9913809, - 10676410, - 11439010, - 12201611, - 12964212, - 13726813, - 14489413, - 15252014, - 16014615, - 16777216, - 16078165, - 15379114, - 14680064, - 13981013, - 13281962, - 12582912, - 11883861, - 11184810, - 10485760, - 9786709, - 9087658, - 8388608, - 7689557, - 6990506, - 6291456, - 5592405, - 4893354, - 4194304, - 3495253, - 2796202, - 2097152, - 1398101, - 699050, - 0, - 621378, - 1242756, - 1864135, - 2485513, - 3106891, - 3728270, - 4349648, - 4971026, - 5592405, - 6213783, - 6835162, - 7456540, - 8077918, - 8699297, - 9320675, - 9942053, - 10563432, - 11184810, - 11806189, - 12427567, - 13048945, - 13670324, - 14291702, - 14913080, - 15534459, - 16155837, - 16777216, -}; diff --git a/modules/lib_vad/src/vad_mel_scale.h b/modules/lib_vad/src/vad_mel_scale.h deleted file mode 100644 index 5d0c1b490..000000000 --- a/modules/lib_vad/src/vad_mel_scale.h +++ /dev/null @@ -1,15 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#ifndef VAD_MEL_SCALE_H -#define VAD_MEL_SCALE_H - -#include -#include "vad_parameters.h" - -#define VAD_N_MEL_SCALE 24 -#define VAD_N_DCT 24 - -const extern uint32_t vad_mel_table24_512[257]; - -#endif diff --git a/modules/lib_vad/src/vad_nn_coefficients.c b/modules/lib_vad/src/vad_nn_coefficients.c deleted file mode 100644 index 551e649da..000000000 --- a/modules/lib_vad/src/vad_nn_coefficients.c +++ /dev/null @@ -1,2665 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#include "vad_nn_coefficients.h" - -// Auto generated file - do not hand edit -// Generated from Python model - -const int32_t hidden_coeffs[2625] = { - VAD_NORMALISE_COEFFICIENT( -1.651063 ), // bias -1 node 0 - VAD_NORMALISE_COEFFICIENT( -0.065002 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.071862 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 1.520602 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -0.034445 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -2.342623 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -0.040157 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.651685 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -0.374273 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.969694 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.390702 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.298163 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.452150 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.445812 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.411162 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.153178 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.072165 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.489434 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.576147 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.193165 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.110379 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.085956 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.093634 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.034089 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.303444 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.027533 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 1.157379 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.983639 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -2.273572 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 3.643492 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -1.608041 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.991829 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -1.207055 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.998204 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.805431 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.343879 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.216650 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.000641 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.459602 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.122304 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.264771 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.241307 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.209297 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.465725 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.111209 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.530299 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.037982 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.025415 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.076032 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.052802 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.400813 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.147296 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 3.604636 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.748216 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.470251 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -1.169119 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.471850 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 1.653400 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( -0.305271 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.473221 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.670358 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.451506 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.027984 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.026040 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.057813 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.593769 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.162136 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.047289 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.138172 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.291706 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.264388 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.046099 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.331587 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.145501 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.293132 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.215108 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( 0.000477 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.278617 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 4.137381 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.520210 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 2.096445 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -4.149514 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.507711 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 2.224629 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 1.287767 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 1.591221 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 1.586310 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.094879 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -1.203044 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.351921 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.194908 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.032082 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.212194 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.198349 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.301985 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.380025 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.111450 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.171786 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.078265 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.070331 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.281428 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.034727 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.062667 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.108224 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.567169 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -1.641974 ), // bias -1 node 1 - VAD_NORMALISE_COEFFICIENT( -1.168913 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.987902 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -0.203720 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.415051 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -1.118809 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -0.609928 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.236215 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.599425 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.131402 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.790380 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.078801 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.449997 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.015520 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( -0.144194 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.259404 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.431353 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.396841 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.072741 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.440725 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.028889 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.259823 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.080730 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.523975 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.121730 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.170700 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 1.202013 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.368939 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.010632 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 1.284792 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.176913 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.866987 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -1.176249 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -2.882009 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.588561 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.170618 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.102136 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.423676 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.066516 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.368207 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.387552 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.103914 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.274934 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.094633 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.337493 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.426814 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.144611 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.080073 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.229720 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.369894 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.370303 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.132941 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 0.763067 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.106333 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.541775 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 0.958218 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 1.324178 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -1.487421 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.751187 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -2.577797 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -1.447029 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 1.032386 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( 0.452945 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.794882 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.667753 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -1.237312 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 1.145813 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.024593 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.294898 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.666676 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.108807 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.676420 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.018475 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.248971 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.257310 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.530191 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.321424 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.262309 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 0.753781 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 0.446751 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 1.099615 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.607601 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 1.296718 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.121566 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.188445 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.045918 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.160239 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.453817 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.068311 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.638094 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.370941 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.046594 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.147185 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 1.022520 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.459518 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.113906 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.281609 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.353436 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.590826 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.447433 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.394438 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.419402 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.221364 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.024958 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -0.668252 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -1.540793 ), // bias -1 node 2 - VAD_NORMALISE_COEFFICIENT( -0.037923 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.109648 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 0.263139 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -0.458241 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 0.029932 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -0.918218 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.452527 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -0.308711 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.164221 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.203799 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.166645 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.225136 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.066507 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.095245 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.460099 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( -0.152596 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.374601 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.066175 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.089709 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.010966 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.106514 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.049491 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.036234 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.069429 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.084166 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -1.448315 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( 0.853415 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.516752 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 1.284359 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.314030 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.744214 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.790383 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( 0.584254 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.142242 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.163963 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.845371 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.112343 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.261009 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( -0.210157 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.025224 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.178461 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.322090 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.493419 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.603429 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.005509 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.073426 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.164027 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.048213 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.036261 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.097397 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.266371 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 1.707852 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 0.827857 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.757403 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 0.456052 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.090828 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.404496 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.201940 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.095146 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.015150 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.109312 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.903277 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.026803 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.202950 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.382909 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.322644 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.125858 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.060852 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.306228 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.366793 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.083595 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.051054 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.258240 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.090551 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.271609 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.446851 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.079104 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 2.221655 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 0.066765 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -0.577447 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.320044 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.551240 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.570490 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.197854 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.293602 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.289463 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.288825 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.184917 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.241342 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.012217 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.270164 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.147087 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.220113 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.005852 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.188980 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.127985 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.190187 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.248415 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.061427 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( 0.181926 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( -0.057323 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.377813 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( -0.329041 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.103495 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( 0.505990 ), // bias -1 node 3 - VAD_NORMALISE_COEFFICIENT( 1.542497 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -1.240069 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 0.779938 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 1.353689 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -1.783791 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -1.860027 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 1.601601 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 1.312428 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.565090 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.044052 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.014616 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.135406 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.009347 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( -0.024807 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.273994 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( -0.162512 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.432479 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.273142 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.229439 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.045420 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.210032 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.311322 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.137733 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.109246 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.282079 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -0.440845 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.282328 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.829214 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -1.432515 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.856078 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 1.445340 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.032990 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.490474 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.819151 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.316767 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.367747 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.631000 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.455020 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.534986 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.044920 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.118662 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.016933 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.075633 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.119734 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.050097 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.193535 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.082967 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.132013 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.128213 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.120578 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.177713 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -0.068783 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.715678 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.050526 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 0.587738 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -1.428868 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.529067 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.943560 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.627288 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -0.424559 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.269719 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.771090 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( 0.244249 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.004231 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.044484 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.224536 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.023809 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.266899 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.103594 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.112652 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.460934 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.284355 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.605937 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.220485 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.256042 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.361463 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( -0.130367 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -0.354821 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.101682 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -1.342739 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.989635 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.463760 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.020803 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( -1.276907 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.491418 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.922378 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.104737 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.431346 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.423106 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.103762 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.305555 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.031293 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.037115 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.336395 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.846388 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.343879 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.118884 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.234163 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.318096 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.064501 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( -0.074057 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.327896 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.093850 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -0.014607 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -0.165328 ), // bias -1 node 4 - VAD_NORMALISE_COEFFICIENT( -0.732808 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.469382 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 0.017369 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 1.022518 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -0.927425 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 0.704403 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.959793 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -2.159653 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.031880 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.455909 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.113189 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.598328 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.002918 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.085604 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.249419 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.147406 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.049681 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.175409 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.154021 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.331980 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.026254 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.433992 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.015011 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.152044 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.086069 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -0.041358 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.266873 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.397652 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 0.720827 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -0.287331 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -1.327116 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 1.730659 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.306579 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.993608 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.647699 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.128522 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.016750 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.323760 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( -0.370194 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.119097 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.204528 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.228525 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.205843 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.326549 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.075890 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.103589 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.205251 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.302542 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.029861 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.184326 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.032011 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -0.107115 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 0.408923 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.252314 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 0.682220 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.141994 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -0.678363 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.991037 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.524155 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -0.021399 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.464185 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.063721 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.082991 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.272493 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.678227 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.251319 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.245912 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.014941 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.262607 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.160559 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.073245 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.186239 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.082047 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.235076 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.182088 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.169709 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.427549 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -0.231686 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 0.069298 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -0.233696 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.363894 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.206944 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.020022 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( -0.696806 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.332483 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.872855 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.181861 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( 0.297250 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.241193 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.346595 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.390579 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.008777 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.506439 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.248920 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.252669 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.362903 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.169539 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.043475 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.042959 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( 0.246957 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( -0.298892 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.233352 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( -0.100829 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.061256 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -1.867244 ), // bias -1 node 5 - VAD_NORMALISE_COEFFICIENT( 0.706309 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.423589 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -1.545120 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.298277 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 2.553088 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -1.473498 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.173319 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 1.039645 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.341222 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.128112 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.133877 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.585603 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.239766 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( -0.275198 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.272306 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( -0.034459 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.547417 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.191343 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.202771 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.415406 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.395692 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.076364 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.183131 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.043581 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.000224 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 0.798880 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( 0.498107 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.483350 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 0.182922 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -0.965274 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.886948 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.436322 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( 0.529831 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -1.013750 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.226204 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 1.048938 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.023084 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.111009 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( -0.249108 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.148187 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.133121 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.145614 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.179692 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.033082 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.134391 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.017271 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.486250 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.170842 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.138349 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.297422 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.258791 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 2.689187 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.405907 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.650166 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 0.098256 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.496190 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -1.068433 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.997362 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.355204 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -0.177732 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.232099 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.018529 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.020073 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.200659 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.564368 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.079937 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.261576 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.020255 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.005390 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.187044 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.293724 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.161960 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.191642 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.070562 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.040613 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.015700 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.006594 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 2.445357 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -1.587400 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 1.580972 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( 1.409159 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.362492 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.839440 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 1.930184 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( -0.293522 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.469420 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.523086 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -1.093760 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.197652 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.408581 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.382674 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.400770 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.083760 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.321165 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.331854 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.227089 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.282753 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.243638 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.123852 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( 0.198754 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.210046 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.131874 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.115561 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -6.241100 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -1.454436 ), // bias -1 node 6 - VAD_NORMALISE_COEFFICIENT( -0.340316 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.194472 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -1.418978 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -1.322006 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -1.261860 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -0.488237 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.365543 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.096571 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.313264 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.986258 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.220649 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.317658 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.050139 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.460280 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.445471 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.472603 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.815009 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.965203 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.509056 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.335216 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.034723 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.178661 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.457106 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.433638 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.445780 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -2.678260 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.338637 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.024664 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -0.115340 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -0.153855 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.594481 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.450355 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( 0.779203 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.561304 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.138741 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.595805 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.406334 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.135789 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.159327 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.020741 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.030261 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.189941 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.667822 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.739634 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.433837 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.198706 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.124054 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.145037 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.270201 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.651603 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.050047 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -1.906095 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 0.387061 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.294151 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 0.528473 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.577715 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 1.256513 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.720262 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.870186 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 1.135836 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.538314 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.627280 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.183687 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( -0.099064 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.220055 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.093869 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.031618 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.321691 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.153493 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.060305 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.432312 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.238355 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.360379 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.182133 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.423729 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( 0.197817 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.620885 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 1.950762 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 1.760403 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 1.020855 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.356394 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.441564 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.012744 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( -0.161488 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.726561 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.443265 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.668722 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.623903 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.174774 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.305151 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.626082 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.627481 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.141331 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.187530 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.086284 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.183635 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.029670 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.294714 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.169703 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( 0.026850 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( -0.310651 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.177604 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.413717 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 2.096206 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -0.566851 ), // bias -1 node 7 - VAD_NORMALISE_COEFFICIENT( -0.759036 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 1.324234 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 0.530163 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.239778 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -0.283851 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 1.190538 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -1.822080 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.473036 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.516507 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.263557 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.059310 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.067634 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.313192 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.210218 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.135583 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.279269 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.034066 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.083160 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.125331 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.233226 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.469282 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.315514 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.257249 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.095645 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.025805 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 0.631331 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -1.810847 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.135070 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 1.362089 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -1.253659 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.579346 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -1.214416 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -1.920166 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.380151 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.678425 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.742178 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.233930 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.137922 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.033050 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.354138 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.013956 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.179769 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.544787 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.153261 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.098090 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.048665 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.057770 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.003294 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.158587 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.088890 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.106348 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 3.589980 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 0.006652 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.770727 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -1.960833 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 1.305444 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -0.492432 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 1.472369 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 2.054691 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.405808 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.108487 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.594096 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( 0.436003 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.118818 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.204165 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.120442 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.068436 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.052638 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.571359 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.089089 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.163497 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.134485 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.139827 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.005825 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.115148 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.316503 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( -0.041314 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -1.032753 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 1.022274 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -0.266516 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( 1.398742 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.208917 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.805806 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( -0.109409 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( -0.659624 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.723745 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.045667 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( 0.150402 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.275064 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.567864 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( 0.313941 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.652730 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.666919 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.317573 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.557383 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.491816 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.536748 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.113493 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.285316 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.066567 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.216857 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.254236 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.108215 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.229437 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -2.052710 ), // bias -1 node 8 - VAD_NORMALISE_COEFFICIENT( 1.051541 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.808555 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -1.206265 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -0.874535 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -1.092710 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 0.479337 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.619843 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.212060 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.289963 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.757617 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.007809 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.377574 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.061301 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.691122 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.208237 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.741903 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.117124 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.367394 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.321285 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.932501 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.153601 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.647075 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.577996 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.148058 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.497389 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -2.237540 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.693114 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.533150 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 0.198516 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -1.327414 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.335131 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.998044 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.068345 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.577680 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.310433 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.735071 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.617238 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.349154 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.608125 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.763918 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.278749 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.325719 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.526895 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.062593 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.036042 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -1.127412 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.442032 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.306118 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.443982 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.104795 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.079237 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 2.232968 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.914342 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.575377 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -1.045958 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.981370 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.038599 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( -0.082148 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.369458 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.457151 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.087276 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.572359 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.079071 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( -0.387049 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.683605 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.423606 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.297964 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 1.252022 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.368782 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.604301 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.042461 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -1.083643 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.415679 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.435297 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.745274 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( 0.155015 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.234279 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -0.800962 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 0.089382 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 1.050035 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -1.200485 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.298629 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.855423 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.734441 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.657428 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.026895 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.250919 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.766425 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.052431 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.171397 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( 1.502153 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.498927 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.172438 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 1.177518 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.278474 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.344800 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.720478 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -1.190484 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.411456 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.442582 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 1.024612 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.223034 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.941895 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.053756 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -1.984291 ), // bias -1 node 9 - VAD_NORMALISE_COEFFICIENT( -0.268051 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.748810 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 0.106170 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -0.882620 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 0.428950 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 0.627393 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 1.011068 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.522924 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.277244 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.111748 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.008793 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.299855 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.130992 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.215954 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.138031 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.494125 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.535623 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.806995 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.339515 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.066679 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.106399 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.066572 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.476793 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.009387 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.757921 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 2.402913 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( 0.077533 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.209819 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -2.170001 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -1.034579 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.438175 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.573144 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.305336 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.615484 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.612557 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.245055 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.024310 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.177805 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.094280 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.093794 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.104403 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.257454 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.400067 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.217102 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.197451 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.244136 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.175239 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.048303 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.184807 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.392655 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.295499 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -0.258617 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.789180 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.238715 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -0.819383 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -1.696573 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.225657 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.676005 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.116359 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.358165 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.477139 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.146313 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.276701 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.366759 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.220684 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.098263 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.232108 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.219569 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.601567 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.381211 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.007371 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.183996 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.020783 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.119962 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.372858 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.004896 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.129916 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -0.448225 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 0.288444 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 0.453098 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.744734 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.390660 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.359835 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.462969 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.785633 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.067300 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.527974 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -1.026689 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.316125 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.013949 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.222986 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.486604 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.071310 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.031099 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.737543 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.599792 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.218201 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.059509 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.164374 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.131029 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( -0.292557 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.051925 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.317964 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.673697 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( 1.765746 ), // bias -1 node 10 - VAD_NORMALISE_COEFFICIENT( -0.428924 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.314517 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -0.053643 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.048375 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 0.063783 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -0.237311 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.170363 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -0.065991 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.205859 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.104293 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.076832 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.212238 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.004361 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( -0.143310 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.069630 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( -0.204142 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.128003 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.040962 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.244849 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.138381 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.187679 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.170416 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.246387 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.013589 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.145004 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 0.638047 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.523122 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.053779 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -0.287350 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -0.160654 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.102991 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.255108 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.006874 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.085888 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.166468 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.121152 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.188141 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.081220 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.024259 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.002958 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.006273 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.028204 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.077286 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.006860 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.063482 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.063890 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.082511 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.065929 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.108519 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.060359 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.088236 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 1.006940 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 0.013158 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.073426 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -0.414001 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.374756 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -0.033685 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.448552 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.150060 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.221609 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.041688 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.030435 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.036599 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.164033 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.025523 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.038584 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.020305 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.097773 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.184438 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.026743 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.086058 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.061774 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.009892 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.183751 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.024238 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.262065 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.270461 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 1.058261 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -1.595184 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 0.595935 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.712704 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.134381 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.288275 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.626792 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.326918 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.719096 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.018872 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( 0.113844 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.144098 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.054887 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.160092 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.394877 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.203342 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.058368 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.459921 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.006613 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.129392 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.036448 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.082772 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.180678 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.129581 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.097389 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.129817 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -0.510789 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( 0.755277 ), // bias -1 node 11 - VAD_NORMALISE_COEFFICIENT( -0.233069 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.001022 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 0.069207 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -0.076078 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -0.247145 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -0.212194 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.162311 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.082358 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.198518 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.197049 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.059559 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.058247 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.082999 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.037851 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.083785 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.220162 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.038061 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.044242 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.134929 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.062275 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.066431 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.111128 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.156545 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.147580 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.055994 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 1.089016 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.029492 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.078950 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 0.029366 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.329660 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.184390 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.060401 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.226854 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.018151 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.140227 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.165979 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.127093 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.011745 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.035306 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.007443 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.017780 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.096352 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.038001 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.029294 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.013524 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.064755 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.178828 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.119303 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.162761 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.055821 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.014197 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 0.825926 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.550106 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.073096 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 0.192222 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.146999 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -0.018723 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.148468 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.064907 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.240677 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.104240 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.123975 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.082252 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( -0.005182 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.042156 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.094549 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.062984 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.041588 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.121830 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.009317 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.031613 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.022254 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.129703 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.073194 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.034229 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.053757 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.041815 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 0.783650 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.567847 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -0.699990 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.392456 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.081077 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.142171 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.042070 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.204174 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.293368 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.076115 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.516114 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.004923 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.175064 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( 0.000641 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.109662 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.019345 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.012593 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.228435 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.069889 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.210320 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.055692 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.046692 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( 0.013315 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( -0.070318 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.061451 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.050315 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 1.084631 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -3.349675 ), // bias -1 node 12 - VAD_NORMALISE_COEFFICIENT( 0.686097 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.401163 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 2.256443 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -1.384076 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -2.924518 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 0.820922 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.285454 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 1.376246 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.128920 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 1.022959 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.782135 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( -0.142599 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.036837 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.101905 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.499479 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.013319 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.044037 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.267029 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.290583 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.069235 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.157416 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.147140 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.115174 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.271507 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.743087 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 0.818721 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( 0.045273 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.710117 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -0.151921 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.255621 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -1.515132 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.263406 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( 0.973058 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 1.224482 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.117334 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.146967 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.105352 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.178957 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( -0.216298 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.014661 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.045943 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.180904 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.413131 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.555372 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.121931 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.116620 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.037618 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.171963 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.008309 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.331569 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.018197 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 1.400827 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.611096 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.656947 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 1.934867 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.591083 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -1.231576 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.300283 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.168265 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.203619 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.123107 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -1.165664 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( 0.226189 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.142804 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.127947 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.148971 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.270334 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.158439 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.021352 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.224167 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.056611 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.418726 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.033457 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.447285 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.488561 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.036956 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.016336 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 0.964609 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.568434 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 0.613749 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.401849 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.681365 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 2.397608 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.862260 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( -1.799307 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -1.179940 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.279505 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( 0.136115 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.470195 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.485637 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.061091 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.346458 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.632094 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.094150 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.049109 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.076675 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.066897 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.015398 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.260192 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( 0.434085 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.183781 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.196675 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.257247 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 1.871003 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -0.239371 ), // bias -1 node 13 - VAD_NORMALISE_COEFFICIENT( -0.306102 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.938490 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -0.750768 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -0.435045 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 1.219574 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 2.321815 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -1.120127 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -1.087867 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -1.548745 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.468393 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.092141 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.017633 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.469602 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.039717 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.163284 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( -0.005882 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.345827 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.245644 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.023356 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.386328 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.546156 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.316203 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.507972 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.066263 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.370537 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -0.263676 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.118049 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.181646 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 1.009391 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -0.796336 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.591437 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.603168 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.065917 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.987697 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -1.572737 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 1.514290 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.056567 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.447027 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.039988 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.425061 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.237666 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.028813 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.362194 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.049569 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.364168 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.385495 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.800237 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.201603 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.367678 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.302426 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.135652 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 0.616978 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.795403 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.080667 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -0.938251 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.214587 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.712088 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( -1.491394 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.540034 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.533619 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.485988 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.470789 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( 0.056399 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( -0.137711 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.181050 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.494855 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.231061 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.386917 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.077364 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.271454 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.169275 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.017215 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.688814 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.683750 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.258176 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.423005 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( -0.157758 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 0.914626 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -1.127328 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -0.570844 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.179940 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.080633 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.471574 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( -4.140315 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.264650 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.981351 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.635202 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.135314 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.029018 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.264363 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.839149 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.318215 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.038885 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.422921 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.037880 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.243231 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.409826 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.259983 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.528538 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.400952 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.019296 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.360252 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( -0.526922 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 1.705384 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -1.520651 ), // bias -1 node 14 - VAD_NORMALISE_COEFFICIENT( -0.383820 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 1.137044 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 0.514522 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -0.889075 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -0.138860 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -0.467260 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.353549 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -1.019193 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.216719 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.422661 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.124837 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.788204 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.531401 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( -0.131055 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.135074 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.335617 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.178894 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.221175 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.595801 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.596513 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.138197 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.692253 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.495142 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.037840 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.400357 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -0.418673 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.948448 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 1.040305 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 1.551958 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -0.855647 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.896371 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.051110 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.868184 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -1.019892 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.205621 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.833689 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.155348 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.913115 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( -0.511793 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.060626 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.379094 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.147430 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.055534 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.505828 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.445053 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.256478 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.097731 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.263054 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.012045 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.341247 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.349424 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -1.295858 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -1.470468 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.015621 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 2.293770 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.276894 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -1.280121 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( -0.523712 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -1.150762 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -0.927114 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.536269 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( 0.632965 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( 0.007882 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.563012 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.706556 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.123685 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.194717 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.342920 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.234697 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.609475 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.335551 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.429631 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.022552 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.474549 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.122584 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( 0.380288 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( -0.583187 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -1.289009 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.281058 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 1.465741 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( 4.322714 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 1.561207 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.075123 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( -0.563825 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( -0.768992 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.784675 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.153567 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( 0.624871 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.274762 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.227171 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.856454 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.245572 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.083120 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.242065 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.338290 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.610985 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.817832 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.679778 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.184198 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.470047 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( -0.028989 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.545784 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( -0.538335 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -0.747699 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( 1.474538 ), // bias -1 node 15 - VAD_NORMALISE_COEFFICIENT( 0.148132 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.053070 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 1.441853 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.623078 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 1.106922 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 1.380245 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.443018 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.079584 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.130135 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.226945 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.085067 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( -0.022744 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.171953 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.298480 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.175670 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.066855 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.555491 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.069912 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.173203 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.353692 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.404647 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.123320 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.400605 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.283207 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.301425 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 1.434500 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.593934 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.113349 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 2.333425 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.225889 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.973149 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 1.127265 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.393284 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.034557 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.205342 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.082068 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.048072 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.084925 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.036333 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.033987 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.177251 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.012805 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.699103 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.087697 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.166903 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.232820 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.631037 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.226792 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.048044 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.178010 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.049685 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -0.566434 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -1.752684 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.103970 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 1.711288 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.021390 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.095017 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 1.304418 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.452222 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.384019 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.152200 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( 0.058283 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.124690 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.224223 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.238394 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.072640 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.288929 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.083965 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.460427 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.260750 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.459346 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.086488 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.438483 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.124006 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.252148 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.029546 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.068773 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -0.474656 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.676258 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 0.410459 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( 0.873083 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.201411 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.532973 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.344870 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.238730 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.474567 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.260059 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.254952 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.141786 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.036348 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( 0.068420 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.415211 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.232741 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.004459 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.239013 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.422484 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.291431 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.348853 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.427196 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( 0.086710 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.022386 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.149858 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.154047 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -0.397577 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -0.616945 ), // bias -1 node 16 - VAD_NORMALISE_COEFFICIENT( 0.484668 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.231755 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -3.723186 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 1.180778 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 3.588380 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -3.682680 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.971483 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -1.321868 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.790753 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.430562 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.703985 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.136372 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.497317 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.307741 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.278901 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.532983 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.609511 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.491629 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.395729 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.249193 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.504188 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.618115 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.314950 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.300785 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.080839 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 1.930028 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( 1.544996 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -1.338736 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 0.613365 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.008133 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.304691 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -1.792020 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( 0.607566 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.776579 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.204794 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( 0.213182 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.133512 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.035139 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( -0.142680 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.065106 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.148926 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.056786 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.071983 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.227020 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.124915 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.242452 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.150570 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.376133 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.726020 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.407994 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.153556 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 1.969623 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 0.878621 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.497223 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 1.276206 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.653361 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -1.085479 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.096168 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.287455 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 1.263896 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.328681 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.969717 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.097178 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( -0.089170 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.156730 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.093670 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.233480 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.092411 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.126256 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.042977 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.030363 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.198354 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.091515 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.247422 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.028530 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.073285 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.087204 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 1.381913 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -1.302647 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 0.496150 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( 1.852253 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -1.436418 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -1.846210 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 1.272086 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( -0.673128 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.486603 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.447588 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( 0.449613 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.212439 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.425152 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.057727 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.107067 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.310868 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.030702 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.227245 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.161461 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.007006 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.241203 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.026286 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.110270 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.232395 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.144767 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.060721 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 4.239961 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -1.038776 ), // bias -1 node 17 - VAD_NORMALISE_COEFFICIENT( -0.200245 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 1.023533 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -1.166202 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.743146 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 0.941231 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 1.238236 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.812824 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.308951 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.267506 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.192301 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.179620 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.265344 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.189921 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( -0.029738 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.341623 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.172987 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.071313 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.061144 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.056134 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.114391 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.263993 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.056487 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.058241 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.201036 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.036506 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -2.268374 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( 0.534442 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.208877 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 0.500470 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -0.459337 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.901045 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.162754 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.626015 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.312304 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.373705 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.218084 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.137577 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.185887 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.053242 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.096453 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.295522 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.082165 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.191486 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.097889 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.142025 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.149698 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.186825 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.121024 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.043617 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.078159 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.079646 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -0.260051 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 0.147752 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -1.037815 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 3.503006 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -1.624073 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -1.108927 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( -1.976443 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.819901 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -0.121570 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.602182 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( 1.018825 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( 0.101211 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.353129 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.295053 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.175881 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.293948 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.043725 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.347549 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.399135 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.221253 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.219035 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.090233 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.167581 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.101686 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.049414 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( -0.159470 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 3.998142 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.529742 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 1.213507 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -1.240458 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 1.066787 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -1.346473 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.777853 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 1.140424 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.147151 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.266800 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.438865 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.441197 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.112820 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.074549 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.103023 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.290390 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.228174 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.139600 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.162281 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.257915 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.068197 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.011371 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.065267 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.025827 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.031414 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.021985 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 2.190874 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -0.044414 ), // bias -1 node 18 - VAD_NORMALISE_COEFFICIENT( -1.504601 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.198647 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -1.182603 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 1.325280 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -0.135539 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 1.854517 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.723306 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -0.489405 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.040486 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.229492 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.197920 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( -0.236298 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.445299 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.165629 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.371481 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.329312 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.057165 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.140897 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.079680 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.007570 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.091252 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.429888 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.150499 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.141264 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.201320 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -0.443948 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.823753 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.028233 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -0.339732 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.464022 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.218976 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.636499 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.092290 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.808292 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.004128 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.044382 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.061514 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.951423 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( -0.070525 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.089953 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.317943 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.365696 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.030288 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.221386 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.282194 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.201167 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.075650 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.213960 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.272574 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.152571 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.391488 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 1.043950 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.736261 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.001555 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -0.659016 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.001936 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -0.519401 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( -0.176776 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.244872 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -1.105240 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.112212 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( 0.261945 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.367213 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( -0.227241 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.111938 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.276390 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.523089 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.619134 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.399212 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.090095 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.249384 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.050182 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.143958 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.252299 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.063121 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.245879 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.052562 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 0.823747 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.760601 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 0.515922 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -2.391257 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.246498 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.674006 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( -1.041712 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( -0.605976 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.105453 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.034904 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( 0.973781 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.002364 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.384678 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( 0.768305 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.119819 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.281702 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.121180 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.313179 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.876220 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.067199 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.247817 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.308697 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( 0.371963 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.156911 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.023239 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( -0.394029 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -0.827957 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( 1.322503 ), // bias -1 node 19 - VAD_NORMALISE_COEFFICIENT( -0.501828 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.204159 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -0.870756 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.115698 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 0.081568 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 0.409821 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.662365 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -0.461214 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.021420 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.311421 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.105059 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.199351 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.528355 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.593494 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.388119 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.043062 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.070129 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.150164 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.115238 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.060629 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.058125 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.013537 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.142464 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.054611 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( 0.168811 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -0.334927 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.090940 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( -0.332236 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -0.566209 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.630136 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.958887 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.164633 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.215491 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.311672 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.381097 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.102229 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.439075 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.091849 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.218977 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.010788 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.026603 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.093714 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.073799 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.162628 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.074832 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.427178 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.079728 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.136921 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.092488 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.007450 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.220118 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -0.357136 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 0.517275 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.176798 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -0.361537 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.400100 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.752820 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.486721 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.252379 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.216169 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.413717 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.242608 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.456892 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.061138 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.747644 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.409679 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.007510 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.076949 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.534573 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.093734 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.000224 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.194865 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.283563 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.335714 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.037376 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( 0.051196 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.289485 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -0.396783 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 0.407006 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -0.097093 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -0.348336 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.343420 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 1.132191 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.667463 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( -0.362941 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.521744 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.742482 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.061435 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.304703 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.225376 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( 0.705638 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( -0.029693 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.268882 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.064222 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.133888 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.093252 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.289813 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( -0.127387 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.184528 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.250865 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.365165 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.204216 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.355570 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -0.464963 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -2.416478 ), // bias -1 node 20 - VAD_NORMALISE_COEFFICIENT( -0.514391 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -2.179417 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 4.927823 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -2.054664 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -0.231167 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -2.105658 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -2.844426 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -1.278522 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -1.184743 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 1.408592 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.245867 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.968007 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.205627 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.211295 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( 0.385113 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.190783 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.577851 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.001348 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.367150 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( -0.185084 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.184343 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.129823 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.025311 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.121698 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.108948 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 4.581752 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( 0.197115 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 1.073299 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -2.502715 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 1.095980 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 1.155751 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 0.317108 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( 0.506174 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.963262 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 1.094534 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.398482 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.397780 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( 0.051676 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.258054 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.008923 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.088616 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( 0.014558 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.320027 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.149523 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.256123 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.204417 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.221676 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.165834 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.311473 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.030575 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.213609 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 3.249451 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.348244 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.590030 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -2.357248 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.246462 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.423053 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.136888 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 1.122159 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 1.617405 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.263003 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.656156 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( 0.217645 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.001969 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.359115 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.180358 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.114557 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.226144 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.130821 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.000721 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.379578 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.011786 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.195392 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.177998 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.047950 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( 0.045371 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.166481 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 1.514990 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.056495 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 0.534347 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -1.057305 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.587153 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.368196 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 1.185738 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 1.194832 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.174779 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.122226 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.949003 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( 0.194186 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.050843 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.276302 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.162406 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.122888 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.263997 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.613327 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.293634 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.058511 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.069062 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.056543 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.421877 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.148496 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.007722 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.033765 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -0.439278 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( 0.160002 ), // bias -1 node 21 - VAD_NORMALISE_COEFFICIENT( -0.400456 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.156913 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -0.170830 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -1.157417 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 0.679599 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -1.893177 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.874670 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.204575 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.191623 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( 0.461924 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.011738 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( -0.048484 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.025085 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.475883 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.149625 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.267289 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( -0.512626 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.392296 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.032570 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.095913 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.022417 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.199364 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.109780 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( 0.021078 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.012957 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 5.213882 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.746489 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.899231 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -0.360630 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 1.460040 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( -0.641297 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( 2.286433 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( 0.914190 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( 0.737339 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.458407 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -1.036989 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.595630 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.101026 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( -0.112041 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.043573 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.139466 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.205710 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.645268 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.202471 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( -0.092859 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.146361 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.007647 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.170520 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.011380 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.090400 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.021840 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -2.553366 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( 1.097124 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.306289 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( 1.500306 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.224719 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.333920 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.640818 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( -0.521487 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -1.413867 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.816247 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( 0.830695 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.413908 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.626018 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( -0.011978 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.152785 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.133546 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.005452 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.198974 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.220092 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.134800 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.402803 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( -0.053885 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.135137 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( 0.015451 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.188556 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( -0.008803 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -0.720581 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.395290 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 0.234871 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( 0.643251 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.268386 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.578042 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( -0.157653 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( -0.192855 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.702621 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.087228 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.203993 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.076167 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.289739 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.104485 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.035066 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( -0.379867 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.021828 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.079684 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.090454 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.032499 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.101109 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( -0.104918 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.228957 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.055589 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.118589 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( -0.063626 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.093939 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -2.513203 ), // bias -1 node 22 - VAD_NORMALISE_COEFFICIENT( 0.899408 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.064000 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 1.377849 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.785018 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 0.272985 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 0.716349 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( 0.971105 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.289920 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.402130 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.969485 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.481728 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( -0.537444 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( -0.286280 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.396029 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.143472 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( -0.724452 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.522863 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.035466 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.349029 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.241669 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.028484 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -0.320924 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.508236 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.241474 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.078176 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 2.450644 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( 0.217419 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.199583 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -0.045596 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 0.350650 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.085676 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.686672 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.225905 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.253405 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( -0.652931 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.158197 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.442504 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.320306 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.082834 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.069157 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( 0.132190 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.321555 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( -0.088776 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.132882 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.211275 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.074479 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.089339 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( 0.256016 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.392298 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.360634 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.187983 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 0.846203 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.343132 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.256827 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -1.110867 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( -0.569232 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( -0.039597 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.158134 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.232880 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.112387 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( -0.566515 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( 0.180204 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.130359 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.125921 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.351218 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.088593 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.341298 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.038627 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( -0.003983 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( 0.246944 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( -0.265601 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.389258 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.189639 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( 0.056440 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.133285 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( 0.037092 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( -0.162148 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 0.025608 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( -0.185734 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -0.243085 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -1.984579 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( -0.043849 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.243729 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.801452 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.368305 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( 0.347374 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.728881 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( 0.290179 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.073672 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.407061 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( 0.511385 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.211023 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.256547 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( -0.085004 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( -0.109833 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( 0.654710 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( -0.757129 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.332321 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.073484 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.012707 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.507440 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( -0.092867 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( -0.039765 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.926878 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -1.846920 ), // bias -1 node 23 - VAD_NORMALISE_COEFFICIENT( -1.044674 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.178318 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( 3.073397 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 1.066160 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 1.261040 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -0.413941 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.045124 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.011048 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( 0.061211 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.331641 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( 0.300836 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.072596 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.058504 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( -0.036439 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.482103 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( -0.525526 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.243760 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( -0.429111 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.144509 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.176099 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.259346 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( -1.256769 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.224520 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.002089 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.148175 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( 0.959868 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.779835 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.271477 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( 0.878166 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( 1.342139 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 1.242987 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.264890 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( -0.068686 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.173029 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.117301 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.434625 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( -0.023376 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.264643 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.610810 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( -0.306956 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.170851 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.572079 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.725505 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( -0.402601 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.016582 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( 0.114393 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( -0.217509 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.884572 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( -0.097483 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( 0.428106 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( -0.032615 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( 1.963708 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.169167 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( 0.866219 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -0.532096 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.114594 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.358798 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.045339 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.164591 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( 0.209603 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.124651 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -1.288875 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( -0.264586 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( 0.378921 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.971305 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( -0.153590 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( -0.243279 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( 0.059407 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.950536 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.371892 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.327741 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( 0.428782 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.086436 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.965938 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.232640 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( 0.571210 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.141922 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( 1.400835 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 0.229291 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( 1.102839 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( -1.163936 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 0.345453 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( 0.000479 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.909757 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.189765 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.507871 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( 0.177667 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -1.110575 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.061046 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( 0.906333 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( 0.987444 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.332563 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.033751 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.248636 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 1.238501 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.289460 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.027954 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.148125 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.091317 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.698573 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( 0.350951 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.236515 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( 0.289759 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( 0.652768 ), // feature 103 - VAD_NORMALISE_COEFFICIENT( -3.300975 ), // bias -1 node 24 - VAD_NORMALISE_COEFFICIENT( -0.558939 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( -0.408710 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -2.190093 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( -0.503195 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( -0.421801 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( -1.273208 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.279812 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( -0.549852 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.414105 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.417644 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.205062 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( 0.024269 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.100479 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.233354 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.512887 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( 0.165905 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.167622 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.420368 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( 0.195692 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.181813 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( -0.003349 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.043299 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( 0.084258 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.408880 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.039748 ), // feature 24 - VAD_NORMALISE_COEFFICIENT( -1.700032 ), // feature 25 - VAD_NORMALISE_COEFFICIENT( -0.507095 ), // feature 26 - VAD_NORMALISE_COEFFICIENT( 0.032097 ), // feature 27 - VAD_NORMALISE_COEFFICIENT( -1.718231 ), // feature 28 - VAD_NORMALISE_COEFFICIENT( -0.284425 ), // feature 29 - VAD_NORMALISE_COEFFICIENT( 0.385853 ), // feature 30 - VAD_NORMALISE_COEFFICIENT( -0.409016 ), // feature 31 - VAD_NORMALISE_COEFFICIENT( 0.181648 ), // feature 32 - VAD_NORMALISE_COEFFICIENT( -0.522579 ), // feature 33 - VAD_NORMALISE_COEFFICIENT( 0.339474 ), // feature 34 - VAD_NORMALISE_COEFFICIENT( -0.485070 ), // feature 35 - VAD_NORMALISE_COEFFICIENT( 0.336635 ), // feature 36 - VAD_NORMALISE_COEFFICIENT( -0.050080 ), // feature 37 - VAD_NORMALISE_COEFFICIENT( 0.442804 ), // feature 38 - VAD_NORMALISE_COEFFICIENT( 0.179657 ), // feature 39 - VAD_NORMALISE_COEFFICIENT( -0.083792 ), // feature 40 - VAD_NORMALISE_COEFFICIENT( -0.094581 ), // feature 41 - VAD_NORMALISE_COEFFICIENT( 0.428801 ), // feature 42 - VAD_NORMALISE_COEFFICIENT( 0.121030 ), // feature 43 - VAD_NORMALISE_COEFFICIENT( 0.250378 ), // feature 44 - VAD_NORMALISE_COEFFICIENT( -0.361467 ), // feature 45 - VAD_NORMALISE_COEFFICIENT( 0.488495 ), // feature 46 - VAD_NORMALISE_COEFFICIENT( -0.092224 ), // feature 47 - VAD_NORMALISE_COEFFICIENT( 0.189665 ), // feature 48 - VAD_NORMALISE_COEFFICIENT( -0.347979 ), // feature 49 - VAD_NORMALISE_COEFFICIENT( 0.072477 ), // feature 50 - VAD_NORMALISE_COEFFICIENT( -3.527945 ), // feature 51 - VAD_NORMALISE_COEFFICIENT( -0.807451 ), // feature 52 - VAD_NORMALISE_COEFFICIENT( -0.565503 ), // feature 53 - VAD_NORMALISE_COEFFICIENT( -0.855455 ), // feature 54 - VAD_NORMALISE_COEFFICIENT( 0.318664 ), // feature 55 - VAD_NORMALISE_COEFFICIENT( 0.492431 ), // feature 56 - VAD_NORMALISE_COEFFICIENT( 0.178350 ), // feature 57 - VAD_NORMALISE_COEFFICIENT( 0.300135 ), // feature 58 - VAD_NORMALISE_COEFFICIENT( -0.208657 ), // feature 59 - VAD_NORMALISE_COEFFICIENT( 0.191848 ), // feature 60 - VAD_NORMALISE_COEFFICIENT( -0.530348 ), // feature 61 - VAD_NORMALISE_COEFFICIENT( 0.155162 ), // feature 62 - VAD_NORMALISE_COEFFICIENT( -0.439700 ), // feature 63 - VAD_NORMALISE_COEFFICIENT( 0.181603 ), // feature 64 - VAD_NORMALISE_COEFFICIENT( 0.137309 ), // feature 65 - VAD_NORMALISE_COEFFICIENT( 0.093145 ), // feature 66 - VAD_NORMALISE_COEFFICIENT( -0.032510 ), // feature 67 - VAD_NORMALISE_COEFFICIENT( 0.594034 ), // feature 68 - VAD_NORMALISE_COEFFICIENT( -0.554072 ), // feature 69 - VAD_NORMALISE_COEFFICIENT( 0.095004 ), // feature 70 - VAD_NORMALISE_COEFFICIENT( -0.485903 ), // feature 71 - VAD_NORMALISE_COEFFICIENT( 0.547682 ), // feature 72 - VAD_NORMALISE_COEFFICIENT( -0.100437 ), // feature 73 - VAD_NORMALISE_COEFFICIENT( -0.062573 ), // feature 74 - VAD_NORMALISE_COEFFICIENT( -0.251067 ), // feature 75 - VAD_NORMALISE_COEFFICIENT( 0.266860 ), // feature 76 - VAD_NORMALISE_COEFFICIENT( -3.251116 ), // feature 77 - VAD_NORMALISE_COEFFICIENT( 0.059394 ), // feature 78 - VAD_NORMALISE_COEFFICIENT( -0.665900 ), // feature 79 - VAD_NORMALISE_COEFFICIENT( 0.338470 ), // feature 80 - VAD_NORMALISE_COEFFICIENT( 1.502657 ), // feature 81 - VAD_NORMALISE_COEFFICIENT( -0.165167 ), // feature 82 - VAD_NORMALISE_COEFFICIENT( 0.141411 ), // feature 83 - VAD_NORMALISE_COEFFICIENT( 0.487278 ), // feature 84 - VAD_NORMALISE_COEFFICIENT( -0.105447 ), // feature 85 - VAD_NORMALISE_COEFFICIENT( -0.569717 ), // feature 86 - VAD_NORMALISE_COEFFICIENT( -0.206241 ), // feature 87 - VAD_NORMALISE_COEFFICIENT( -0.042141 ), // feature 88 - VAD_NORMALISE_COEFFICIENT( -0.731869 ), // feature 89 - VAD_NORMALISE_COEFFICIENT( -0.173602 ), // feature 90 - VAD_NORMALISE_COEFFICIENT( 0.242815 ), // feature 91 - VAD_NORMALISE_COEFFICIENT( 0.020239 ), // feature 92 - VAD_NORMALISE_COEFFICIENT( 0.135534 ), // feature 93 - VAD_NORMALISE_COEFFICIENT( 0.138718 ), // feature 94 - VAD_NORMALISE_COEFFICIENT( -0.490268 ), // feature 95 - VAD_NORMALISE_COEFFICIENT( 0.078715 ), // feature 96 - VAD_NORMALISE_COEFFICIENT( 0.251691 ), // feature 97 - VAD_NORMALISE_COEFFICIENT( 0.180815 ), // feature 98 - VAD_NORMALISE_COEFFICIENT( -0.123064 ), // feature 99 - VAD_NORMALISE_COEFFICIENT( -0.494403 ), // feature 100 - VAD_NORMALISE_COEFFICIENT( 0.082020 ), // feature 101 - VAD_NORMALISE_COEFFICIENT( -0.161325 ), // feature 102 - VAD_NORMALISE_COEFFICIENT( -1.845453 ), // feature 103 -}; - -const int32_t outputs_coeffs[26] = { - VAD_NORMALISE_COEFFICIENT( 0.727707 ), // bias -1 node 0 - VAD_NORMALISE_COEFFICIENT( 0.425411 ), // feature 0 - VAD_NORMALISE_COEFFICIENT( 0.266162 ), // feature 1 - VAD_NORMALISE_COEFFICIENT( -0.580559 ), // feature 2 - VAD_NORMALISE_COEFFICIENT( 0.430995 ), // feature 3 - VAD_NORMALISE_COEFFICIENT( 0.449160 ), // feature 4 - VAD_NORMALISE_COEFFICIENT( 0.335652 ), // feature 5 - VAD_NORMALISE_COEFFICIENT( -0.317595 ), // feature 6 - VAD_NORMALISE_COEFFICIENT( 0.335246 ), // feature 7 - VAD_NORMALISE_COEFFICIENT( -0.236417 ), // feature 8 - VAD_NORMALISE_COEFFICIENT( -0.330950 ), // feature 9 - VAD_NORMALISE_COEFFICIENT( -0.938223 ), // feature 10 - VAD_NORMALISE_COEFFICIENT( -1.367555 ), // feature 11 - VAD_NORMALISE_COEFFICIENT( 0.391596 ), // feature 12 - VAD_NORMALISE_COEFFICIENT( 0.272202 ), // feature 13 - VAD_NORMALISE_COEFFICIENT( -0.259256 ), // feature 14 - VAD_NORMALISE_COEFFICIENT( -0.340534 ), // feature 15 - VAD_NORMALISE_COEFFICIENT( 0.320807 ), // feature 16 - VAD_NORMALISE_COEFFICIENT( 0.480379 ), // feature 17 - VAD_NORMALISE_COEFFICIENT( -0.365778 ), // feature 18 - VAD_NORMALISE_COEFFICIENT( 0.681217 ), // feature 19 - VAD_NORMALISE_COEFFICIENT( 0.442133 ), // feature 20 - VAD_NORMALISE_COEFFICIENT( 0.389311 ), // feature 21 - VAD_NORMALISE_COEFFICIENT( -0.427767 ), // feature 22 - VAD_NORMALISE_COEFFICIENT( -0.318248 ), // feature 23 - VAD_NORMALISE_COEFFICIENT( -0.537475 ), // feature 24 -}; - diff --git a/modules/lib_vad/src/vad_nn_coefficients.h b/modules/lib_vad/src/vad_nn_coefficients.h deleted file mode 100644 index 07860e890..000000000 --- a/modules/lib_vad/src/vad_nn_coefficients.h +++ /dev/null @@ -1,23 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#ifndef NN_COEFFICIENTS_H -#define NN_COEFFICIENTS_H - -#include -#include "vad_parameters.h" - -#define N_VAD_INPUTS VAD_N_FEATURES -#define N_VAD_HIDDEN 25 -#define N_VAD_OUTPUTS 1 - -const extern int32_t hidden_coeffs[N_VAD_HIDDEN * N_VAD_INPUTS + N_VAD_HIDDEN]; -const extern int32_t outputs_coeffs[N_VAD_OUTPUTS * N_VAD_HIDDEN + N_VAD_OUTPUTS]; - -#define VAD_CLAMP(x) ((x) > 0x7fffffffULL \ - ? 0x7fffffff \ - : (x) < (-0x80000000LL) ? 0x80000000 : (int32_t)(x)) - -#define VAD_NORMALISE_COEFFICIENT(x) (VAD_CLAMP((x) * (1 << 24))) - -#endif diff --git a/modules/lib_vad/src/vad_normalisation.c b/modules/lib_vad/src/vad_normalisation.c deleted file mode 100644 index e2ea8d4e4..000000000 --- a/modules/lib_vad/src/vad_normalisation.c +++ /dev/null @@ -1,63 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#include "vad_normalisation.h" - -// Auto generated file - do not hand edit -// Generated from Python model -const int32_t vad_mus[26] = { - FEATURE_MU_SCALE_0(989.529236), - FEATURE_MU_SCALE_0(1187817.875000), - FEATURE_MU_SCALE(45.570797), - FEATURE_MU_SCALE(-1.487864), - FEATURE_MU_SCALE(6.944422), - FEATURE_MU_SCALE(-4.739724), - FEATURE_MU_SCALE(-2.864525), - FEATURE_MU_SCALE(-1.842266), - FEATURE_MU_SCALE(-0.128670), - FEATURE_MU_SCALE(0.474272), - FEATURE_MU_SCALE(-0.424810), - FEATURE_MU_SCALE(0.603775), - FEATURE_MU_SCALE(-0.249589), - FEATURE_MU_SCALE(-0.950089), - FEATURE_MU_SCALE(-0.503449), - FEATURE_MU_SCALE(-1.046687), - FEATURE_MU_SCALE(-0.256972), - FEATURE_MU_SCALE(1.061739), - FEATURE_MU_SCALE(0.228171), - FEATURE_MU_SCALE(0.057048), - FEATURE_MU_SCALE(-0.203649), - FEATURE_MU_SCALE(-0.673680), - FEATURE_MU_SCALE(-0.449966), - FEATURE_MU_SCALE(-0.062325), - FEATURE_MU_SCALE(-0.070390), - FEATURE_MU_SCALE(-0.018621), -}; -const int32_t vad_sigmas[26] = { - FEATURE_SIGMA_SCALE_0(1009.002869), - FEATURE_SIGMA_SCALE_0(1529832.375000), - FEATURE_SIGMA_SCALE(35.177719), - FEATURE_SIGMA_SCALE(24.394997), - FEATURE_SIGMA_SCALE(17.305937), - FEATURE_SIGMA_SCALE(14.591298), - FEATURE_SIGMA_SCALE(12.454285), - FEATURE_SIGMA_SCALE(10.153700), - FEATURE_SIGMA_SCALE(8.991216), - FEATURE_SIGMA_SCALE(8.460880), - FEATURE_SIGMA_SCALE(7.161397), - FEATURE_SIGMA_SCALE(6.616609), - FEATURE_SIGMA_SCALE(6.508337), - FEATURE_SIGMA_SCALE(5.617609), - FEATURE_SIGMA_SCALE(5.275681), - FEATURE_SIGMA_SCALE(4.908565), - FEATURE_SIGMA_SCALE(4.789364), - FEATURE_SIGMA_SCALE(4.371023), - FEATURE_SIGMA_SCALE(4.305419), - FEATURE_SIGMA_SCALE(3.906788), - FEATURE_SIGMA_SCALE(3.764157), - FEATURE_SIGMA_SCALE(3.578048), - FEATURE_SIGMA_SCALE(3.209366), - FEATURE_SIGMA_SCALE(3.140452), - FEATURE_SIGMA_SCALE(2.835793), - FEATURE_SIGMA_SCALE(60.775600), -}; diff --git a/modules/lib_vad/src/vad_normalisation.h b/modules/lib_vad/src/vad_normalisation.h deleted file mode 100644 index 38a659bc2..000000000 --- a/modules/lib_vad/src/vad_normalisation.h +++ /dev/null @@ -1,21 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#ifndef VAD_NORMALISATION_H -#define VAD_NORMALISATION_H - -#include -#include "vad_parameters.h" - -#define FEATURE_MU_Q 16 -#define FEATURE_SIGMA_Q 16 - -#define FEATURE_MU_SCALE(x) ((int32_t)(x * (1 << FEATURE_MU_Q))) -#define FEATURE_SIGMA_SCALE(x) ((int32_t)(x * (1 << FEATURE_SIGMA_Q))) -#define FEATURE_MU_SCALE_0(x) ((int32_t)(x)) -#define FEATURE_SIGMA_SCALE_0(x) ((int32_t)(x)) - -extern const int32_t vad_mus[VAD_N_FEATURES_PER_FRAME]; -extern const int32_t vad_sigmas[VAD_N_FEATURES_PER_FRAME]; - -#endif diff --git a/modules/lib_vad/src/vad_parameters.h b/modules/lib_vad/src/vad_parameters.h deleted file mode 100644 index 05a0743c7..000000000 --- a/modules/lib_vad/src/vad_parameters.h +++ /dev/null @@ -1,26 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#ifndef VAD_PARAMETERS_H -#define VAD_PARAMETERS_H - -#define VAD_N_FEATURES_PER_FRAME 26 -#define VAD_FRAMES_PER_CLASSIFY 4 -#define VAD_FRAME_STRIDE 3 -#define VAD_N_FEATURES (VAD_N_FEATURES_PER_FRAME * VAD_FRAMES_PER_CLASSIFY) -#define VAD_N_OLD_FEATURES ((VAD_N_FEATURES_PER_FRAME) * ((VAD_FRAMES_PER_CLASSIFY) * (VAD_FRAME_STRIDE) - 1) + 1) -#define VAD_LOG_WINDOW_LENGTH 9 -#define VAD_WINDOW_LENGTH (1 << VAD_LOG_WINDOW_LENGTH) -#define VAD_DSP_SINE_WINDOW_LENGTH dsp_sine_512 - -#define VAD_PROC_FRAME_LENGTH VAD_WINDOW_LENGTH -#define VAD_PROC_FRAME_BINS (VAD_PROC_FRAME_LENGTH / 2) -#define VAD_FRAME_ADVANCE 240 -#define VAD_EXP -31 - -//Taken from ai_nn.h since we removed lib_ai as a dependancy -#define VAD_AI_NN_WEIGHT_Q 24 -#define VAD_AI_NN_VALUE_Q 24 -#define VAD_AI_NN_OUTPUT_Q (VAD_AI_NN_WEIGHT_Q + VAD_AI_NN_VALUE_Q) - -#endif //VAD_PARAMETERS_H diff --git a/modules/lib_vad/src/vad_window.c b/modules/lib_vad/src/vad_window.c deleted file mode 100644 index c385af269..000000000 --- a/modules/lib_vad/src/vad_window.c +++ /dev/null @@ -1,1547 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. -// Autogenerated file - -#include "vad_window.h" - -const int vad_window[512] = { - 0, - 80850, - 323390, - 727584, - 1293369, - 2020660, - 2909349, - 3959302, - 5170360, - 6542341, - 8075038, - 9768220, - 11621633, - 13634998, - 15808011, - 18140344, - 20631648, - 23281545, - 26089639, - 29055505, - 32178696, - 35458744, - 38895153, - 42487406, - 46234962, - 50137257, - 54193703, - 58403689, - 62766582, - 67281723, - 71948434, - 76766011, - 81733729, - 86850840, - 92116573, - 97530135, - 103090711, - 108797464, - 114649533, - 120646038, - 126786076, - 133068723, - 139493031, - 146058033, - 152762741, - 159606146, - 166587215, - 173704899, - 180958125, - 188345801, - 195866815, - 203520033, - 211304304, - 219218454, - 227261292, - 235431608, - 243728169, - 252149728, - 260695015, - 269362745, - 278151611, - 287060289, - 296087440, - 305231702, - 314491698, - 323866036, - 333353301, - 342952067, - 352660886, - 362478298, - 372402824, - 382432968, - 392567221, - 402804057, - 413141933, - 423579293, - 434114566, - 444746164, - 455472486, - 466291917, - 477202828, - 488203576, - 499292503, - 510467941, - 521728205, - 533071601, - 544496420, - 556000941, - 567583431, - 579242148, - 590975334, - 602781223, - 614658038, - 626603988, - 638617276, - 650696092, - 662838617, - 675043022, - 687307470, - 699630114, - 712009098, - 724442557, - 736928619, - 749465405, - 762051025, - 774683584, - 787361181, - 800081905, - 812843842, - 825645069, - 838483658, - 851357677, - 864265185, - 877204240, - 890172893, - 903169191, - 916191176, - 929236888, - 942304362, - 955391630, - 968496720, - 981617661, - 994752475, - 1007899184, - 1021055809, - 1034220369, - 1047390880, - 1060565360, - 1073741823, - 1086918287, - 1100092767, - 1113263278, - 1126427838, - 1139584463, - 1152731172, - 1165865986, - 1178986926, - 1192092017, - 1205179285, - 1218246759, - 1231292471, - 1244314456, - 1257310754, - 1270279407, - 1283218462, - 1296125970, - 1308999989, - 1321838578, - 1334639805, - 1347401742, - 1360122466, - 1372800063, - 1385432622, - 1398018242, - 1410555028, - 1423041090, - 1435474549, - 1447853533, - 1460176176, - 1472440625, - 1484645030, - 1496787555, - 1508866371, - 1520879659, - 1532825609, - 1544702423, - 1556508313, - 1568241499, - 1579900215, - 1591482706, - 1602987227, - 1614412046, - 1625755442, - 1637015706, - 1648191144, - 1659280071, - 1670280819, - 1681191730, - 1692011161, - 1702737483, - 1713369081, - 1723904353, - 1734341714, - 1744679590, - 1754916426, - 1765050679, - 1775080823, - 1785005349, - 1794822761, - 1804531580, - 1814130346, - 1823617611, - 1832991948, - 1842251945, - 1851396207, - 1860423357, - 1869332036, - 1878120902, - 1886788631, - 1895333919, - 1903755478, - 1912052039, - 1920222355, - 1928265193, - 1936179343, - 1943963614, - 1951616832, - 1959137845, - 1966525522, - 1973778748, - 1980896432, - 1987877501, - 1994720906, - 2001425614, - 2007990616, - 2014414924, - 2020697570, - 2026837609, - 2032834114, - 2038686183, - 2044392936, - 2049953512, - 2055367074, - 2060632807, - 2065749918, - 2070717636, - 2075535213, - 2080201924, - 2084717065, - 2089079958, - 2093289944, - 2097346390, - 2101248685, - 2104996241, - 2108588494, - 2112024903, - 2115304951, - 2118428142, - 2121394008, - 2124202102, - 2126851999, - 2129343303, - 2131675636, - 2133848649, - 2135862014, - 2137715427, - 2139408609, - 2140941306, - 2142313287, - 2143524345, - 2144574298, - 2145462987, - 2146190278, - 2146756063, - 2147160257, - 2147402797, - 2147483647, - 2147402797, - 2147160257, - 2146756063, - 2146190278, - 2145462987, - 2144574298, - 2143524345, - 2142313287, - 2140941306, - 2139408609, - 2137715427, - 2135862014, - 2133848649, - 2131675636, - 2129343303, - 2126851999, - 2124202102, - 2121394008, - 2118428142, - 2115304951, - 2112024903, - 2108588494, - 2104996241, - 2101248685, - 2097346390, - 2093289944, - 2089079958, - 2084717065, - 2080201924, - 2075535213, - 2070717636, - 2065749918, - 2060632807, - 2055367074, - 2049953512, - 2044392936, - 2038686184, - 2032834114, - 2026837609, - 2020697571, - 2014414924, - 2007990616, - 2001425614, - 1994720906, - 1987877501, - 1980896432, - 1973778748, - 1966525522, - 1959137846, - 1951616832, - 1943963614, - 1936179343, - 1928265193, - 1920222355, - 1912052039, - 1903755478, - 1895333919, - 1886788632, - 1878120902, - 1869332036, - 1860423358, - 1851396207, - 1842251945, - 1832991949, - 1823617611, - 1814130346, - 1804531580, - 1794822761, - 1785005349, - 1775080823, - 1765050679, - 1754916426, - 1744679590, - 1734341714, - 1723904354, - 1713369081, - 1702737484, - 1692011161, - 1681191730, - 1670280819, - 1659280071, - 1648191144, - 1637015706, - 1625755442, - 1614412046, - 1602987228, - 1591482707, - 1579900216, - 1568241499, - 1556508313, - 1544702424, - 1532825609, - 1520879659, - 1508866371, - 1496787555, - 1484645030, - 1472440625, - 1460176177, - 1447853533, - 1435474549, - 1423041090, - 1410555028, - 1398018243, - 1385432622, - 1372800063, - 1360122466, - 1347401742, - 1334639805, - 1321838578, - 1308999989, - 1296125970, - 1283218462, - 1270279407, - 1257310754, - 1244314456, - 1231292471, - 1218246759, - 1205179285, - 1192092018, - 1178986927, - 1165865986, - 1152731172, - 1139584463, - 1126427838, - 1113263278, - 1100092767, - 1086918288, - 1073741824, - 1060565360, - 1047390880, - 1034220369, - 1021055810, - 1007899184, - 994752475, - 981617661, - 968496721, - 955391630, - 942304362, - 929236888, - 916191176, - 903169191, - 890172893, - 877204240, - 864265185, - 851357677, - 838483658, - 825645069, - 812843842, - 800081905, - 787361181, - 774683584, - 762051025, - 749465405, - 736928620, - 724442557, - 712009098, - 699630114, - 687307471, - 675043023, - 662838617, - 650696092, - 638617276, - 626603988, - 614658038, - 602781224, - 590975334, - 579242148, - 567583432, - 556000941, - 544496420, - 533071601, - 521728205, - 510467941, - 499292503, - 488203576, - 477202828, - 466291917, - 455472486, - 444746164, - 434114566, - 423579294, - 413141933, - 402804057, - 392567222, - 382432968, - 372402824, - 362478298, - 352660887, - 342952067, - 333353301, - 323866036, - 314491699, - 305231702, - 296087440, - 287060290, - 278151611, - 269362745, - 260695016, - 252149728, - 243728169, - 235431608, - 227261292, - 219218454, - 211304304, - 203520033, - 195866815, - 188345802, - 180958125, - 173704899, - 166587215, - 159606146, - 152762741, - 146058033, - 139493031, - 133068723, - 126786077, - 120646039, - 114649533, - 108797464, - 103090711, - 97530135, - 92116573, - 86850840, - 81733729, - 76766011, - 71948434, - 67281723, - 62766582, - 58403689, - 54193703, - 50137257, - 46234962, - 42487406, - 38895153, - 35458744, - 32178696, - 29055505, - 26089639, - 23281545, - 20631648, - 18140344, - 15808011, - 13634998, - 11621633, - 9768220, - 8075038, - 6542341, - 5170360, - 3959302, - 2909350, - 2020660, - 1293369, - 727584, - 323390, - 80850, -}; - -const int vad_window_10[1024] = { - 0, - 20212, - 80850, - 181911, - 323390, - 505284, - 727584, - 990282, - 1293369, - 1636832, - 2020660, - 2444838, - 2909349, - 3414177, - 3959302, - 4544704, - 5170360, - 5836247, - 6542341, - 7288614, - 8075038, - 8901584, - 9768220, - 10674915, - 11621633, - 12608340, - 13634998, - 14701568, - 15808011, - 16954284, - 18140344, - 19366148, - 20631648, - 21936797, - 23281545, - 24665844, - 26089639, - 27552877, - 29055505, - 30597464, - 32178696, - 33799143, - 35458744, - 37157435, - 38895153, - 40671832, - 42487406, - 44341806, - 46234962, - 48166803, - 50137257, - 52146249, - 54193703, - 56279543, - 58403689, - 60566063, - 62766582, - 65005163, - 67281723, - 69596176, - 71948434, - 74338409, - 76766011, - 79231149, - 81733729, - 84273658, - 86850840, - 89465178, - 92116573, - 94804926, - 97530135, - 100292098, - 103090711, - 105925868, - 108797464, - 111705388, - 114649533, - 117629787, - 120646038, - 123698173, - 126786076, - 129909632, - 133068723, - 136263229, - 139493031, - 142758006, - 146058033, - 149392987, - 152762741, - 156167170, - 159606146, - 163079537, - 166587215, - 170129047, - 173704899, - 177314637, - 180958125, - 184635226, - 188345801, - 192089711, - 195866815, - 199676970, - 203520033, - 207395860, - 211304304, - 215245218, - 219218454, - 223223862, - 227261292, - 231330592, - 235431608, - 239564185, - 243728169, - 247923403, - 252149728, - 256406986, - 260695015, - 265013656, - 269362745, - 273742118, - 278151611, - 282591057, - 287060289, - 291559140, - 296087440, - 300645017, - 305231702, - 309847320, - 314491698, - 319164662, - 323866036, - 328595641, - 333353301, - 338138836, - 342952067, - 347792811, - 352660886, - 357556110, - 362478298, - 367427265, - 372402824, - 377404788, - 382432968, - 387487176, - 392567221, - 397672912, - 402804057, - 407960462, - 413141933, - 418348276, - 423579293, - 428834789, - 434114566, - 439418424, - 444746164, - 450097585, - 455472486, - 460870664, - 466291917, - 471736040, - 477202828, - 482692076, - 488203576, - 493737121, - 499292503, - 504869513, - 510467941, - 516087575, - 521728205, - 527389618, - 533071601, - 538773940, - 544496420, - 550238825, - 556000941, - 561782549, - 567583431, - 573403371, - 579242148, - 585099543, - 590975334, - 596869302, - 602781223, - 608710876, - 614658038, - 620622483, - 626603988, - 632602328, - 638617276, - 644648606, - 650696092, - 656759505, - 662838617, - 668933199, - 675043022, - 681167856, - 687307470, - 693461634, - 699630114, - 705812680, - 712009098, - 718219135, - 724442557, - 730679130, - 736928619, - 743190789, - 749465405, - 755752229, - 762051025, - 768361556, - 774683584, - 781016872, - 787361181, - 793716272, - 800081905, - 806457842, - 812843842, - 819239664, - 825645069, - 832059814, - 838483658, - 844916360, - 851357677, - 857807366, - 864265185, - 870730891, - 877204240, - 883684989, - 890172893, - 896667709, - 903169191, - 909677095, - 916191176, - 922711189, - 929236888, - 935768028, - 942304362, - 948845645, - 955391630, - 961942070, - 968496720, - 975055333, - 981617661, - 988183457, - 994752475, - 1001324466, - 1007899184, - 1014476381, - 1021055809, - 1027637221, - 1034220369, - 1040805004, - 1047390880, - 1053977748, - 1060565360, - 1067153467, - 1073741823, - 1080330179, - 1086918287, - 1093505899, - 1100092767, - 1106678643, - 1113263278, - 1119846426, - 1126427838, - 1133007266, - 1139584463, - 1146159181, - 1152731172, - 1159300190, - 1165865986, - 1172428314, - 1178986926, - 1185541577, - 1192092017, - 1198638002, - 1205179285, - 1211715619, - 1218246759, - 1224772458, - 1231292471, - 1237806552, - 1244314456, - 1250815938, - 1257310754, - 1263798658, - 1270279407, - 1276752756, - 1283218462, - 1289676281, - 1296125970, - 1302567287, - 1308999989, - 1315423833, - 1321838578, - 1328243982, - 1334639805, - 1341025805, - 1347401742, - 1353767375, - 1360122466, - 1366466775, - 1372800063, - 1379122091, - 1385432622, - 1391731418, - 1398018242, - 1404292857, - 1410555028, - 1416804517, - 1423041090, - 1429264512, - 1435474549, - 1441670967, - 1447853533, - 1454022013, - 1460176176, - 1466315791, - 1472440625, - 1478550448, - 1484645030, - 1490724142, - 1496787555, - 1502835041, - 1508866371, - 1514881319, - 1520879659, - 1526861164, - 1532825609, - 1538772770, - 1544702423, - 1550614345, - 1556508313, - 1562384104, - 1568241499, - 1574080276, - 1579900215, - 1585701098, - 1591482706, - 1597244822, - 1602987227, - 1608709707, - 1614412046, - 1620094029, - 1625755442, - 1631396072, - 1637015706, - 1642614134, - 1648191144, - 1653746526, - 1659280071, - 1664791571, - 1670280819, - 1675747607, - 1681191730, - 1686612983, - 1692011161, - 1697386062, - 1702737483, - 1708065223, - 1713369081, - 1718648858, - 1723904353, - 1729135371, - 1734341714, - 1739523185, - 1744679590, - 1749810735, - 1754916426, - 1759996471, - 1765050679, - 1770078859, - 1775080823, - 1780056382, - 1785005349, - 1789927537, - 1794822761, - 1799690836, - 1804531580, - 1809344810, - 1814130346, - 1818888006, - 1823617611, - 1828318985, - 1832991948, - 1837636327, - 1842251945, - 1846838630, - 1851396207, - 1855924507, - 1860423357, - 1864892590, - 1869332036, - 1873741529, - 1878120902, - 1882469991, - 1886788631, - 1891076661, - 1895333919, - 1899560244, - 1903755478, - 1907919462, - 1912052039, - 1916153055, - 1920222355, - 1924259785, - 1928265193, - 1932238429, - 1936179343, - 1940087787, - 1943963614, - 1947806677, - 1951616832, - 1955393936, - 1959137845, - 1962848421, - 1966525522, - 1970169010, - 1973778748, - 1977354600, - 1980896432, - 1984404109, - 1987877501, - 1991316477, - 1994720906, - 1998090660, - 2001425614, - 2004725641, - 2007990616, - 2011220418, - 2014414924, - 2017574015, - 2020697570, - 2023785474, - 2026837609, - 2029853860, - 2032834114, - 2035778259, - 2038686183, - 2041557779, - 2044392936, - 2047191549, - 2049953512, - 2052678721, - 2055367074, - 2058018469, - 2060632807, - 2063209989, - 2065749918, - 2068252498, - 2070717636, - 2073145238, - 2075535213, - 2077887471, - 2080201924, - 2082478484, - 2084717065, - 2086917584, - 2089079958, - 2091204104, - 2093289944, - 2095337398, - 2097346390, - 2099316844, - 2101248685, - 2103141841, - 2104996241, - 2106811815, - 2108588494, - 2110326212, - 2112024903, - 2113684504, - 2115304951, - 2116886183, - 2118428142, - 2119930770, - 2121394008, - 2122817803, - 2124202102, - 2125546850, - 2126851999, - 2128117499, - 2129343303, - 2130529363, - 2131675636, - 2132782079, - 2133848649, - 2134875307, - 2135862014, - 2136808732, - 2137715427, - 2138582063, - 2139408609, - 2140195033, - 2140941306, - 2141647400, - 2142313287, - 2142938943, - 2143524345, - 2144069470, - 2144574298, - 2145038809, - 2145462987, - 2145846815, - 2146190278, - 2146493365, - 2146756063, - 2146978363, - 2147160257, - 2147301736, - 2147402797, - 2147463435, - 2147483647, - 2147463435, - 2147402797, - 2147301736, - 2147160257, - 2146978363, - 2146756063, - 2146493365, - 2146190278, - 2145846815, - 2145462987, - 2145038809, - 2144574298, - 2144069470, - 2143524345, - 2142938943, - 2142313287, - 2141647400, - 2140941306, - 2140195034, - 2139408609, - 2138582063, - 2137715427, - 2136808732, - 2135862014, - 2134875307, - 2133848649, - 2132782079, - 2131675636, - 2130529363, - 2129343303, - 2128117499, - 2126851999, - 2125546850, - 2124202102, - 2122817804, - 2121394008, - 2119930770, - 2118428142, - 2116886183, - 2115304951, - 2113684504, - 2112024903, - 2110326212, - 2108588494, - 2106811815, - 2104996241, - 2103141841, - 2101248685, - 2099316844, - 2097346390, - 2095337398, - 2093289944, - 2091204104, - 2089079958, - 2086917584, - 2084717065, - 2082478484, - 2080201924, - 2077887471, - 2075535213, - 2073145238, - 2070717636, - 2068252498, - 2065749918, - 2063209989, - 2060632807, - 2058018469, - 2055367074, - 2052678721, - 2049953512, - 2047191549, - 2044392936, - 2041557779, - 2038686184, - 2035778259, - 2032834114, - 2029853860, - 2026837609, - 2023785474, - 2020697571, - 2017574015, - 2014414924, - 2011220418, - 2007990616, - 2004725641, - 2001425614, - 1998090660, - 1994720906, - 1991316477, - 1987877501, - 1984404110, - 1980896432, - 1977354600, - 1973778748, - 1970169010, - 1966525522, - 1962848421, - 1959137846, - 1955393936, - 1951616832, - 1947806677, - 1943963614, - 1940087787, - 1936179343, - 1932238429, - 1928265193, - 1924259785, - 1920222355, - 1916153055, - 1912052039, - 1907919462, - 1903755478, - 1899560244, - 1895333919, - 1891076661, - 1886788632, - 1882469991, - 1878120902, - 1873741529, - 1869332036, - 1864892590, - 1860423358, - 1855924507, - 1851396207, - 1846838630, - 1842251945, - 1837636327, - 1832991949, - 1828318985, - 1823617611, - 1818888006, - 1814130346, - 1809344811, - 1804531580, - 1799690836, - 1794822761, - 1789927537, - 1785005349, - 1780056382, - 1775080823, - 1770078859, - 1765050679, - 1759996471, - 1754916426, - 1749810735, - 1744679590, - 1739523185, - 1734341714, - 1729135371, - 1723904354, - 1718648858, - 1713369081, - 1708065223, - 1702737484, - 1697386062, - 1692011161, - 1686612983, - 1681191730, - 1675747607, - 1670280819, - 1664791572, - 1659280071, - 1653746526, - 1648191144, - 1642614134, - 1637015706, - 1631396072, - 1625755442, - 1620094029, - 1614412046, - 1608709708, - 1602987228, - 1597244822, - 1591482707, - 1585701099, - 1579900216, - 1574080276, - 1568241499, - 1562384105, - 1556508313, - 1550614345, - 1544702424, - 1538772771, - 1532825609, - 1526861164, - 1520879659, - 1514881319, - 1508866371, - 1502835041, - 1496787555, - 1490724142, - 1484645030, - 1478550448, - 1472440625, - 1466315791, - 1460176177, - 1454022013, - 1447853533, - 1441670967, - 1435474549, - 1429264512, - 1423041090, - 1416804517, - 1410555028, - 1404292858, - 1398018243, - 1391731419, - 1385432622, - 1379122091, - 1372800063, - 1366466775, - 1360122466, - 1353767375, - 1347401742, - 1341025805, - 1334639805, - 1328243983, - 1321838578, - 1315423833, - 1308999989, - 1302567287, - 1296125970, - 1289676281, - 1283218462, - 1276752756, - 1270279407, - 1263798658, - 1257310754, - 1250815938, - 1244314456, - 1237806552, - 1231292471, - 1224772458, - 1218246759, - 1211715620, - 1205179285, - 1198638003, - 1192092018, - 1185541577, - 1178986927, - 1172428314, - 1165865986, - 1159300190, - 1152731172, - 1146159181, - 1139584463, - 1133007266, - 1126427838, - 1119846426, - 1113263278, - 1106678643, - 1100092767, - 1093505899, - 1086918288, - 1080330180, - 1073741824, - 1067153468, - 1060565360, - 1053977748, - 1047390880, - 1040805005, - 1034220369, - 1027637221, - 1021055810, - 1014476381, - 1007899184, - 1001324466, - 994752475, - 988183457, - 981617661, - 975055333, - 968496721, - 961942071, - 955391630, - 948845645, - 942304362, - 935768028, - 929236888, - 922711189, - 916191176, - 909677095, - 903169191, - 896667709, - 890172893, - 883684989, - 877204240, - 870730891, - 864265185, - 857807366, - 851357677, - 844916360, - 838483658, - 832059814, - 825645069, - 819239665, - 812843842, - 806457842, - 800081905, - 793716272, - 787361181, - 781016872, - 774683584, - 768361556, - 762051025, - 755752229, - 749465405, - 743190790, - 736928620, - 730679130, - 724442557, - 718219135, - 712009098, - 705812680, - 699630114, - 693461634, - 687307471, - 681167857, - 675043023, - 668933199, - 662838617, - 656759505, - 650696092, - 644648606, - 638617276, - 632602328, - 626603988, - 620622483, - 614658038, - 608710877, - 602781224, - 596869302, - 590975334, - 585099543, - 579242148, - 573403371, - 567583432, - 561782549, - 556000941, - 550238825, - 544496420, - 538773940, - 533071601, - 527389618, - 521728205, - 516087575, - 510467941, - 504869513, - 499292503, - 493737121, - 488203576, - 482692076, - 477202828, - 471736040, - 466291917, - 460870664, - 455472486, - 450097585, - 444746164, - 439418424, - 434114566, - 428834790, - 423579294, - 418348276, - 413141933, - 407960462, - 402804057, - 397672913, - 392567222, - 387487176, - 382432968, - 377404788, - 372402824, - 367427265, - 362478298, - 357556110, - 352660887, - 347792811, - 342952067, - 338138837, - 333353301, - 328595641, - 323866036, - 319164662, - 314491699, - 309847320, - 305231702, - 300645017, - 296087440, - 291559140, - 287060290, - 282591057, - 278151611, - 273742118, - 269362745, - 265013656, - 260695016, - 256406986, - 252149728, - 247923403, - 243728169, - 239564185, - 235431608, - 231330592, - 227261292, - 223223862, - 219218454, - 215245218, - 211304304, - 207395860, - 203520033, - 199676970, - 195866815, - 192089711, - 188345802, - 184635226, - 180958125, - 177314637, - 173704899, - 170129047, - 166587215, - 163079538, - 159606146, - 156167170, - 152762741, - 149392987, - 146058033, - 142758006, - 139493031, - 136263229, - 133068723, - 129909632, - 126786077, - 123698173, - 120646039, - 117629787, - 114649533, - 111705388, - 108797464, - 105925868, - 103090711, - 100292098, - 97530135, - 94804926, - 92116573, - 89465178, - 86850840, - 84273658, - 81733729, - 79231149, - 76766011, - 74338409, - 71948434, - 69596176, - 67281723, - 65005163, - 62766582, - 60566063, - 58403689, - 56279543, - 54193703, - 52146249, - 50137257, - 48166803, - 46234962, - 44341806, - 42487406, - 40671832, - 38895153, - 37157435, - 35458744, - 33799143, - 32178696, - 30597464, - 29055505, - 27552877, - 26089639, - 24665844, - 23281545, - 21936797, - 20631648, - 19366148, - 18140344, - 16954284, - 15808011, - 14701568, - 13634998, - 12608340, - 11621633, - 10674915, - 9768220, - 8901584, - 8075038, - 7288614, - 6542341, - 5836247, - 5170360, - 4544704, - 3959302, - 3414177, - 2909350, - 2444838, - 2020660, - 1636832, - 1293369, - 990282, - 727584, - 505284, - 323390, - 181911, - 80850, - 20212, -}; diff --git a/modules/lib_vad/src/vad_window.h b/modules/lib_vad/src/vad_window.h deleted file mode 100644 index fa380670f..000000000 --- a/modules/lib_vad/src/vad_window.h +++ /dev/null @@ -1,11 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#ifndef VAD_WINDOW_H -#define VAD_WINDOW_H - -#include "vad_parameters.h" - -extern const int vad_window[VAD_WINDOW_LENGTH]; - -#endif diff --git a/test/CMakeLists.txt b/test/CMakeLists.txt index 33b958745..f3cfedeb2 100644 --- a/test/CMakeLists.txt +++ b/test/CMakeLists.txt @@ -1,7 +1,6 @@ set( TEST_ONLY_DEPS_ROOT ${CMAKE_SOURCE_DIR}/.. ) #test only dependencies present in the sandbox as part of sw_fwk_voice viewfile set( SHARED_SRC_PATH ${CMAKE_CURRENT_SOURCE_DIR}/shared ) set( UNITY_PATH ${TEST_ONLY_DEPS_ROOT}/Unity ) -set(LIB_DSP_PATH ${TEST_ONLY_DEPS_ROOT}/lib_dsp) set( CONFIG_XSCOPE_PATH ${CMAKE_SOURCE_DIR}/examples/bare-metal/shared_src/etc ) include(etc/build_options.cmake) @@ -19,9 +18,7 @@ if ( ${FWK_VOICE_BUILD_TESTS} ) add_subdirectory( lib_agc ) - add_subdirectory( lib_vad ) - - add_subdirectory(lib_vnr) + add_subdirectory( lib_vnr ) if(${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) add_subdirectory( test_hpf ) diff --git a/test/lib_vad/CMakeLists.txt b/test/lib_vad/CMakeLists.txt deleted file mode 100644 index 1b1cba9e7..000000000 --- a/test/lib_vad/CMakeLists.txt +++ /dev/null @@ -1,6 +0,0 @@ -if(${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) - #Both of these tests compare against old XC libs which are difficult to make work under x86 builds, and not needed, so skip - add_subdirectory( vad_unit_tests ) - add_subdirectory( compare_xc_c ) - add_subdirectory( test_vad_profile ) -endif() diff --git a/test/lib_vad/compare_xc_c/CMakeLists.txt b/test/lib_vad/compare_xc_c/CMakeLists.txt deleted file mode 100644 index 3a58ca93e..000000000 --- a/test/lib_vad/compare_xc_c/CMakeLists.txt +++ /dev/null @@ -1,66 +0,0 @@ -## This cmake file builds the "old vad" testwav example. Note inclusion of lots -## of source files from the old repos which do not support cmake libs -## App name -set( APP_NAME fwk_voice_run_old_vad ) - - -## Sources -file( GLOB_RECURSE SOURCES_C src/*.c ) -file( GLOB_RECURSE SOURCES_XC src/*.xc ) - -## LIB_AI -file( GLOB_RECURSE LIB_AI_SOURCES_C ${TEST_ONLY_DEPS_ROOT}/lib_ai/lib_ai/src/*.c ) -file( GLOB_RECURSE LIB_AI_SOURCES_XC ${TEST_ONLY_DEPS_ROOT}/lib_ai/lib_ai/src/*.xc ) -file( GLOB_RECURSE LIB_AI_SOURCES_ASM ${TEST_ONLY_DEPS_ROOT}/lib_ai/lib_ai/src/*.S ) -set( LIB_AI_SOURCES ${LIB_AI_SOURCES_C} ${LIB_AI_SOURCES_XC} ${LIB_AI_SOURCES_ASM}) -set( LIB_AI_INCLUDES ${TEST_ONLY_DEPS_ROOT}/lib_ai/lib_ai/api/ ${TEST_ONLY_DEPS_ROOT}/lib_ai/lib_ai/src/) - -## LIB_VAD -file( GLOB_RECURSE LIB_VAD_SOURCES_C ${TEST_ONLY_DEPS_ROOT}/lib_vad/lib_vad/src/*.c ) -file( GLOB_RECURSE LIB_VAD_SOURCES_XC ${TEST_ONLY_DEPS_ROOT}/lib_vad/lib_vad/src/*.xc ) -file( GLOB_RECURSE LIB_VAD_SOURCES_ASM ${TEST_ONLY_DEPS_ROOT}/lib_vad/lib_vad/src/*.S ) -set( LIB_VAD_SOURCES ${LIB_VAD_SOURCES_C} ${LIB_VAD_SOURCES_XC} ${LIB_VAD_SOURCES_ASM}) -list(REMOVE_ITEM LIB_VAD_SOURCES ${TEST_ONLY_DEPS_ROOT}/lib_vad/lib_vad/src/vad_test_task.xc) - -set(LIB_ASM_SOURCES ${LIB_AI_SOURCES_ASM}) -list(APPEND LIB_ASM_SOURCES ${LIB_VAD_SOURCES_ASM}) -## cmake doesn't recognize .S files as assembly by default -set_source_files_properties(LIB_ASM_SOURCES PROPERTIES LANGUAGE ASM) - -set( LIB_VAD_INCLUDES ${TEST_ONLY_DEPS_ROOT}/lib_vad/lib_vad/api/ ${TEST_ONLY_DEPS_ROOT}/lib_vad/lib_vad/src/) - -################################# - -add_executable(${APP_NAME}) - -target_sources(${APP_NAME} - PRIVATE - ${SOURCES_C} - ${SOURCES_XC} - ${LIB_AI_SOURCES} - ${LIB_VAD_SOURCES} - ) - -target_include_directories(${APP_NAME} - PRIVATE - src - ${LIB_AI_INCLUDES} - ${LIB_VAD_INCLUDES} - ) - -target_link_libraries(${APP_NAME} - PUBLIC - fwk_voice_test_deps::lib_dsp - core::xs3_math - fwk_voice::test::shared::test_utils - fwk_voice::example::fileutils - ) - -target_compile_options(${APP_NAME} - PRIVATE "-target=${XCORE_TARGET}") - -target_link_options(${APP_NAME} - PRIVATE - "-target=${XCORE_TARGET}" - "-report" - "${CMAKE_CURRENT_SOURCE_DIR}/config.xscope") diff --git a/test/lib_vad/compare_xc_c/config.xscope b/test/lib_vad/compare_xc_c/config.xscope deleted file mode 100644 index 0d3b65e4c..000000000 --- a/test/lib_vad/compare_xc_c/config.xscope +++ /dev/null @@ -1,10 +0,0 @@ - - - - - - - - - - diff --git a/test/lib_vad/compare_xc_c/src/debug_print.h b/test/lib_vad/compare_xc_c/src/debug_print.h deleted file mode 100644 index 47d8d7127..000000000 --- a/test/lib_vad/compare_xc_c/src/debug_print.h +++ /dev/null @@ -1 +0,0 @@ -#define debug_printf(...) diff --git a/test/lib_vad/compare_xc_c/src/main.xc b/test/lib_vad/compare_xc_c/src/main.xc deleted file mode 100644 index 42109c354..000000000 --- a/test/lib_vad/compare_xc_c/src/main.xc +++ /dev/null @@ -1,98 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. - -#include -#include - -#include "vad.h" - -extern "C"{ - #include "fileio.h" - #include "wav_utils.h" -} -#include -#include -#include -#include "xscope_io_device.h" - -#define IN_WAV_FILE_NAME "input.wav" - -void vad_task(const char *input_file_name) { - - file_t input_file; - int ret = file_open(&input_file, input_file_name, "rb"); - assert((!ret) && "Failed to open file"); - - wav_header input_header_struct; - unsigned input_header_size; - if(get_wav_header_details(&input_file, &input_header_struct, &input_header_size) != 0){ - printf("error in att_get_wav_header_details()\n"); - _Exit(1); - } - file_seek(&input_file, input_header_size, SEEK_SET); - if(input_header_struct.bit_depth != 32) - { - printf("Error: unsupported wav bit depth (%d) for %s file. Only 32 supported\n", input_header_struct.bit_depth, input_file_name); - _Exit(1); - } - - if(input_header_struct.num_channels != 1){ - printf("Error: wav num channels(%d) does not match ic(%u)\n", input_header_struct.num_channels, 1); - _Exit(1); - } - unsigned bytes_per_frame = wav_get_num_bytes_per_frame(&input_header_struct); - - - unsigned frame_count = wav_get_num_frames(&input_header_struct); - unsigned block_count = frame_count / VAD_FRAME_ADVANCE; - - vad_state_t [[aligned(8)]] state; - vad_init_state(state); - - - int32_t input_samples[VAD_FRAME_ADVANCE] = {0}; - int32_t [[aligned(8)]] input_frame[VAD_PROC_FRAME_LENGTH] = {0}; - - for(unsigned b=0;b a: - rel = b/a - 1.0 - else: - rel = a/b - 1.0 - return rel, abs_diff - - -def is_close(a, b): - rel_diff, abs_diff = how_close(a, b) - - if rel_diff < 0.00001 or abs_diff <= 2: - return True - else: - return False - - -def compare_lines(old, new): - frame = 0 - for old_line, new_line in zip(old, new): - if not "MEL" in old_line: - continue - old_line = old_line.replace("[DEVICE] MEL ", "") - new_line = new_line.replace("[DEVICE] MEL ", "") - # print("**", old_line, new_line) - old_vals = [s for s in old_line.split(' ') if s] #collapse conseqcuitive delimiters - new_vals = [s for s in new_line.split(' ') if s] - - binc = 0 - for old_val, new_val in zip(old_vals, new_vals): - if old_val == "\n": - continue - old = float(old_val) - new = float(new_val) - if not is_close(old, new): - print(f"Disparity at frame {frame} bin {binc} old {old} new {new} :", how_close(old, new)) - binc += 1 - frame += 1 - -def test_xc_c_comparison(): - stdo_old_vad = process_xe(old_vad_xe, input_wav) - stdo_new_vad = process_xe(new_vad_xe, input_wav) - - assert compare_vads(stdo_old_vad, stdo_new_vad) - # dump_both(stdo_old_vad, stdo_new_vad) diff --git a/test/lib_vad/test_vad_profile/CMakeLists.txt b/test/lib_vad/test_vad_profile/CMakeLists.txt deleted file mode 100644 index 438ab8e9e..000000000 --- a/test/lib_vad/test_vad_profile/CMakeLists.txt +++ /dev/null @@ -1,55 +0,0 @@ -## App name -set( ROOT_APP_NAME fwk_voice_test_vad_profile ) - -if( NOT ${Python3_FOUND} ) - message(FATAL_ERROR "Python3 not found for running . ") -endif() - -######### -## executable output directory -set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/bin) - -foreach( PROF_CONFIG VAD_ENABLED VAD_DISABLED ) - set( APP_NAME ${ROOT_APP_NAME}_${PROF_CONFIG} ) - - add_executable(${APP_NAME}) - - file( GLOB_RECURSE SOURCES_C src/*.c ) - target_sources(${APP_NAME} - PRIVATE - ${SOURCES_C} - src/main.xc) - - target_include_directories(${APP_NAME} - PRIVATE - src) - - target_link_libraries(${APP_NAME} - PUBLIC - fwk_voice::vad - fwk_voice::example::fileutils - fwk_voice::example::profile_xcore - ) - - target_compile_definitions(${APP_NAME} - PRIVATE - PROFILE_PROCESSING=1) - - if ( PROF_CONFIG STREQUAL VAD_DISABLED) - target_compile_definitions(${APP_NAME} - PRIVATE - EMPTY_APP=1) - endif() - - target_compile_options(${APP_NAME} - PRIVATE "-target=${XCORE_TARGET}") - - target_link_options(${APP_NAME} - PRIVATE - "-target=${XCORE_TARGET}" - "-report" - "${CMAKE_CURRENT_SOURCE_DIR}/config.xscope") -endforeach() - - - diff --git a/test/lib_vad/test_vad_profile/config.xscope b/test/lib_vad/test_vad_profile/config.xscope deleted file mode 100644 index 0d3b65e4c..000000000 --- a/test/lib_vad/test_vad_profile/config.xscope +++ /dev/null @@ -1,10 +0,0 @@ - - - - - - - - - - diff --git a/test/lib_vad/test_vad_profile/src/main.xc b/test/lib_vad/test_vad_profile/src/main.xc deleted file mode 100644 index fea60a7ad..000000000 --- a/test/lib_vad/test_vad_profile/src/main.xc +++ /dev/null @@ -1,34 +0,0 @@ -// Copyright 2021 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. -#include -#include -#include -#include -#ifdef __XC__ -#define chanend_t chanend -#else -#include -#endif - -extern "C" { -#include "xs3_math.h" -void main_tile0(chanend, chanend); -void main_tile1(chanend); -} - -int main (void) -{ - chan c_cross_tile, xscope_chan; - par - { -#if TEST_WAV_XSCOPE - xscope_host_data(xscope_chan); -#endif - on tile[0]: { - main_tile0(c_cross_tile, xscope_chan); - _Exit(0); - } - on tile[1]: main_tile1(c_cross_tile); - } - return 0; -} diff --git a/test/lib_vad/test_vad_profile/src/vad_test_task.c b/test/lib_vad/test_vad_profile/src/vad_test_task.c deleted file mode 100644 index 1d151685d..000000000 --- a/test/lib_vad/test_vad_profile/src/vad_test_task.c +++ /dev/null @@ -1,93 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. -#include -#include - -#include -#include -#include -#include -#include - -#include "vad_api.h" - -#include "fileio.h" -#include "wav_utils.h" -#include "xs3_math.h" -#include "profile.h" - - -void vad_task(const char *input_file_name) { - //open files - file_t input_file; - int ret = file_open(&input_file, input_file_name, "rb"); - assert((!ret) && "Failed to open file"); - - wav_header input_header_struct; - unsigned input_header_size; - if(get_wav_header_details(&input_file, &input_header_struct, &input_header_size) != 0){ - printf("error in att_get_wav_header_details()\n"); - _Exit(1); - } - file_seek(&input_file, input_header_size, SEEK_SET); - if(input_header_struct.bit_depth != 32) - { - printf("Error: unsupported wav bit depth (%d) for %s file. Only 32 supported\n", input_header_struct.bit_depth, input_file_name); - _Exit(1); - } - - if(input_header_struct.num_channels != 1){ - printf("Error: wav num channels(%d) does not match VAD(%u)\n", input_header_struct.num_channels, 1); - _Exit(1); - } - - - unsigned frame_count = wav_get_num_frames(&input_header_struct); - unsigned block_count = frame_count / VAD_FRAME_ADVANCE; - - - int32_t input_read_buffer[VAD_FRAME_ADVANCE * 1] = {0}; - int32_t DWORD_ALIGNED input[VAD_FRAME_ADVANCE]; - - unsigned bytes_per_frame = wav_get_num_bytes_per_frame(&input_header_struct); - - //Start vad - prof(0, "start_vad_init"); -#ifndef EMPTY_APP - vad_state_t state; - vad_init(&state); -#endif - prof(1, "end_vad_init"); - - for(unsigned b=0;b:::PASS - # :::FAIL: - test_source = test_report[0] - line_number = test_report[1] - test_case = test_report[2] - result = test_report[3] - failure_reason = None - print(('\n {}()'.format(test_case)), end=' ') - if result == 'PASS': - unity_pass = True - continue - if result == 'FAIL': - failure_reason = test_report[4] - print('') # Insert line break after test_case print - raise UnityTestException(self, {'test_source': test_source, - 'line_number': line_number, - 'test_case': test_case, - 'failure_reason': - failure_reason}) - - if simulator_fail: - raise Exception(self, "Simulation failed.") - if not unity_pass: - raise Exception(self, "Unity test output not found.") - print('') # Insert line break after final test_case which passed - - def repr_failure(self, excinfo): - if isinstance(excinfo.value, UnityTestException): - return '\n'.join([str(self.parent).strip('<>'), - '{}:{}:{}()'.format( - excinfo.value[1]['test_source'], - excinfo.value[1]['line_number'], - excinfo.value[1]['test_case']), - 'Failure reason:', - excinfo.value[1]['failure_reason']]) - else: - return str(excinfo.value) - - def reportinfo(self): - # It's not possible to give sensible line number info for an executable - # so we return it as 0. - # - # The source line number will instead be recovered from the Unity print - # statements. - return self.fspath, 0, self.name - - -class UnityTestException(Exception): - pass diff --git a/test/lib_vad/vad_unit_tests/generate_unity_runner.py b/test/lib_vad/vad_unit_tests/generate_unity_runner.py deleted file mode 100644 index c4829b025..000000000 --- a/test/lib_vad/vad_unit_tests/generate_unity_runner.py +++ /dev/null @@ -1,58 +0,0 @@ -import glob -import os.path -import subprocess -import sys -import argparse - -def parse_arguments(): - parser = argparse.ArgumentParser() - parser.add_argument("--project-root", nargs='?', help="Project root directory") - parser.add_argument("--source-file", nargs='?', help="source file.") - parser.add_argument("--runner-file", nargs='?', help="runner file.") - args = parser.parse_args() - return args - -def get_ruby(): - """ - Check ruby is avaliable and return the command to invoke it. - """ - interpreter_name = 'ruby' - try: - dev_null = open(os.devnull, 'w') - # Call the version command to check the interpreter can be run - subprocess.check_call([interpreter_name, '--version'], - stdout=dev_null, - close_fds=True) - except OSError as e: - print("Failed to run Ruby interpreter: {}".format(e), file=sys.stderr) - exit(1) # TODO: Check this is the correct way to kill xwaf on error - - return interpreter_name - -def get_unity_runner_generator(project_root_path): - """ - Check the Unity generate_test_runner script is avaliable, and return the - path to it. - """ - unity_runner_generator = os.path.join( - project_root_path, 'Unity', 'auto', 'generate_test_runner.rb') - if not os.path.exists(unity_runner_generator): - print("Unity repo not found in workspace", file=sys.stderr) - exit(1) # TODO: Check this is the correct way to kill xwaf on error - return unity_runner_generator - -if __name__ == "__main__": - args = parse_arguments() - print(f"in python: root {args.project_root}, source {args.source_file}, runner {args.runner_file}") - - try: - subprocess.check_call([get_ruby(), - get_unity_runner_generator(args.project_root), - args.source_file, - args.runner_file]) - except OSError as e: - print("Ruby generator failed for {}\n\t{}".format(unity_test_path, e), - file=sys.stderr) - exit(1) # TODO: Check this is the correct way to kill xwaf on error - - diff --git a/test/lib_vad/vad_unit_tests/pytest.ini b/test/lib_vad/vad_unit_tests/pytest.ini deleted file mode 100644 index c1426db69..000000000 --- a/test/lib_vad/vad_unit_tests/pytest.ini +++ /dev/null @@ -1,3 +0,0 @@ -[pytest] -testpaths = ../../../build/test/lib_vad/vad_unit_tests/ -#testpaths = bin diff --git a/test/lib_vad/vad_unit_tests/src/for_mel_test/dsp_complex.h b/test/lib_vad/vad_unit_tests/src/for_mel_test/dsp_complex.h deleted file mode 100644 index 835802ab6..000000000 --- a/test/lib_vad/vad_unit_tests/src/for_mel_test/dsp_complex.h +++ /dev/null @@ -1,8 +0,0 @@ -// This file allows old lib_vad mel to compile here -#define dsp_complex_t complex_s32_t -#include "xs3_math_types.h" - -void vad_mel_compute_new(int32_t melValues[], uint32_t M, - complex_s32_t pts[], uint32_t N, - const uint32_t melTable[], - int32_t extra_shift) ; diff --git a/test/lib_vad/vad_unit_tests/src/test_add_unsigned.c b/test/lib_vad/vad_unit_tests/src/test_add_unsigned.c deleted file mode 100644 index 7e2637207..000000000 --- a/test/lib_vad/vad_unit_tests/src/test_add_unsigned.c +++ /dev/null @@ -1,45 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. -#include "vad_unit_tests.h" -#include "vad_helpers.h" -#include - -extern int clz_sim(uint32_t x); -extern void mul_mel_unit_test(uint32_t * h, uint32_t * l, uint32_t scale); -extern void add_unsigned_hl_unit_test(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l); - -extern void mul_mel_sim(uint32_t * h, uint32_t * l, uint32_t scale); -void add_unsigned_hl_sim(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l); - - -void test(){ - unsigned tests_per_hr = 1000; - unsigned seed = 6031759; - - unsigned max = 0x1; - - uint32_t sumH_ref = 0; - uint32_t sumL_ref = 0; - uint32_t sumH_dut = 0; - uint32_t sumL_dut = 0; - - for(int i=0; i - -extern int clz_sim(uint32_t x); -extern void mul_mel_unit_test(uint32_t * h, uint32_t * l, uint32_t scale); -extern void add_unsigned_hl_unit_test(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l); - -extern void mul_mel_sim(uint32_t * h, uint32_t * l, uint32_t scale); -void add_unsigned_hl_sim(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l); - - -void test(){ - unsigned tests_per_hr = 1000; - unsigned seed = 6031759; - - unsigned max = UINT_MAX; - for(int i=0; i>= 1; - } - } - printf("CLZ all good...\n"); -} diff --git a/test/lib_vad/vad_unit_tests/src/test_compare_fft.c b/test/lib_vad/vad_unit_tests/src/test_compare_fft.c deleted file mode 100644 index 72244cd49..000000000 --- a/test/lib_vad/vad_unit_tests/src/test_compare_fft.c +++ /dev/null @@ -1,93 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. -#include "vad_mel.h" -#include "vad_mel_scale.h" -#include "vad_parameters.h" -#include "bfp_math.h" -#include "dsp.h" -#include "xs3_math.h" // for headroom_t -#include "vad_unit_tests.h" - -//The implementation held in vad.xc -int dsp_fft(dsp_complex_t * input, int nq){ - - int hr = dsp_bfp_cls(input, VAD_PROC_FRAME_LENGTH); - int rel_exp = hr - 1; - dsp_bfp_shl(input, VAD_PROC_FRAME_LENGTH, rel_exp); - - // First compute frequency domain: input e [-2^31..2^31], output div by N - dsp_fft_bit_reverse(input, VAD_PROC_FRAME_LENGTH); - dsp_fft_forward(input, VAD_PROC_FRAME_LENGTH, dsp_sine_512); - if(!nq) dsp_fft_split_spectrum(input, VAD_PROC_FRAME_LENGTH); - - return rel_exp; -} - - -//Implementation in vad.c -extern headroom_t vad_xs3_math_fft(int32_t * curr, int nq); - -int iabs(int a, int b){ - return a > b ? a-b : b-a; -} - -void test_compare_fft_mfcc(){ - unsigned seed = 6031759; - - dsp_complex_t DWORD_ALIGNED orig_dsp[VAD_PROC_FRAME_LENGTH + 2]; - int32_t DWORD_ALIGNED orig_xs3[VAD_PROC_FRAME_LENGTH + 2] = {0}; - int32_t DWORD_ALIGNED orig_bfp[VAD_PROC_FRAME_LENGTH + 2] = {0}; - int32_t max = 0x0000000f; - - for(int i = 0; i < 100; i++){ //100 gets us to very near full scale - - if((i % 12 ) == 0) max = max<<3; - - for(int v = 0; v < VAD_PROC_FRAME_LENGTH; v++){ - orig_dsp[v].re = pseudo_rand_int(&seed, -max, max); - orig_dsp[v].im = 0; - orig_xs3[v] = orig_dsp[v].re; - orig_bfp[v] = orig_xs3[v]; - } - // printf("T: %ld\n", orig_dsp[0].re); - - headroom_t dsp_hr = dsp_fft(orig_dsp, 1); - complex_s32_t * dsp_fd = (complex_s32_t *)orig_dsp; - - - headroom_t xs3_hr = vad_xs3_math_fft(orig_xs3, 1); - complex_s32_t * xs3_fd = (complex_s32_t *)orig_xs3; - - - bfp_s32_t bfp; - bfp_s32_init(&bfp, orig_bfp, -31, VAD_PROC_FRAME_LENGTH, 1); - bfp_complex_s32_t * bfp_fd = bfp_fft_forward_mono(&bfp); - bfp_fft_unpack_mono(bfp_fd); - - - int max_diff = 4; - for(int v = 0; v < VAD_PROC_FRAME_LENGTH/2; v++){ - // printf("ex ref: %d xs3: %d bfp: %d\n", 9-rel_dsp_exp, xs3_exp+31, bfp_fd->exp+31); - // printf("RE ref: %ld xs3: %ld bfp: %ld\n", dsp_fd[v].re, xs3_fd[v].re, bfp_fd->data[v].re); - // printf("IM ref: %ld xs3: %ld bfp: %ld\n", dsp_fd[v].im, xs3_fd[v].im, bfp_fd->data[v].im); - - //Note we have not exponent adjusted the BFP version so removed from test. We don't use it anyway - - if((dsp_hr != xs3_hr) /*|| (dsp_hr != bfp_fd->exp+31)*/){ - printf("FAIL - ex ref: %d xs3: %d bfp: %d\n", dsp_hr, xs3_hr, bfp_fd->exp+31); - TEST_ASSERT(0); - } - - - if((iabs(dsp_fd[v].re, xs3_fd[v].re) > max_diff) /*|| (iabs(dsp_fd[v].re, bfp_fd->data[v].re) > max_diff)*/){ - printf("FAIL - RE ref: %ld xs3: %ld bfp: %ld\n", dsp_fd[v].re, xs3_fd[v].re, bfp_fd->data[v].re); - TEST_ASSERT(0); - } - - if((iabs(dsp_fd[v].im, xs3_fd[v].im) > max_diff) /*|| (iabs(dsp_fd[v].im, bfp_fd->data[v].im) > max_diff)*/){ - printf("FAIL - IM ref: %ld xs3: %ld bfp: %ld\n", dsp_fd[v].im, xs3_fd[v].im, bfp_fd->data[v].im); - TEST_ASSERT(0); - } - } - } -} \ No newline at end of file diff --git a/test/lib_vad/vad_unit_tests/src/test_compare_mel_compute.c b/test/lib_vad/vad_unit_tests/src/test_compare_mel_compute.c deleted file mode 100644 index a08e8fe27..000000000 --- a/test/lib_vad/vad_unit_tests/src/test_compare_mel_compute.c +++ /dev/null @@ -1,122 +0,0 @@ -// Copyright 2022 XMOS LIMITED. -// This Software is subject to the terms of the XMOS Public Licence: Version 1. -#include "vad_mel.h" -#include "vad_mel_scale.h" -#include "vad_parameters.h" -#include "bfp_math.h" -#include "dsp.h" -#include "vad_unit_tests.h" -#include - -//Note this test assumes that test_compare_fft has worked as we use vad_xs3_math_fft to generate vectors - -extern headroom_t vad_xs3_math_fft(int32_t * curr, int nq); - -extern void vad_mel_compute_new(int32_t melValues[], uint32_t M, - complex_s32_t pts[], uint32_t N, - const uint32_t melTable[], - int32_t extra_shift) ; - -extern void vad_mel_compute(int32_t melValues[], uint32_t M, - complex_s32_t pts[], uint32_t N, - const uint32_t melTable[], - int32_t extra_shift) ; - - - -// extern int log_exponent(uint32_t h, uint32_t l, uint32_t logN); -// extern int log_exponent_new(uint32_t h, uint32_t l, uint32_t logN); - -// void do_log_test(void){ -// for(int h=0; h<1000;h++){ -// for(int l=0; l<1000; l++){ -// int logN = -28; -// int old = log_exponent(h, l, logN); -// int new = log_exponent_new(h, l, logN); -// if(new != old){ -// printf("log_test old: %d new: %d\n", old, new); -// TEST_ASSERT(0); -// } -// } -// } -// } - - -int iabs(int a, int b){ - return a > b ? a-b : b-a; -} - -int do_test(complex_s32_t in_vector[VAD_PROC_FRAME_LENGTH + 2], headroom_t headroom){ - - int test_passed = 1; - - int32_t old_mel[VAD_N_MEL_SCALE + 1 + 1] = {0}; //+1 because there is a bug in old_mel where it shoots off end of array - int32_t new_mel[VAD_N_MEL_SCALE + 1] = {0}; - - complex_s32_t DWORD_ALIGNED in_vector_copy[VAD_PROC_FRAME_LENGTH + 2]; - memcpy(in_vector_copy, in_vector, sizeof(in_vector_copy)); - - vad_mel_compute_new(new_mel, VAD_N_MEL_SCALE + 1, in_vector_copy, VAD_PROC_FRAME_BINS + 1, vad_mel_table24_512, 2*VAD_LOG_WINDOW_LENGTH-2*headroom); - vad_mel_compute(old_mel, VAD_N_MEL_SCALE + 1, in_vector, VAD_PROC_FRAME_BINS + 1, vad_mel_table24_512, 2*VAD_LOG_WINDOW_LENGTH-2*headroom); - - int max_diff = 100; - for(int v = 0; v < VAD_N_MEL_SCALE + 1; v++){ - if(iabs(old_mel[v], new_mel[v]) > max_diff){ - printf("FAIL mel: %d: old: %ld new: %ld\n", v, old_mel[v], new_mel[v]); - test_passed = 0; - } - } - return test_passed; -} - - -void print_array(int8_t * arr8, unsigned len){ - for(int i=0; i - -extern int clz_sim(uint32_t x); -extern void mul_mel_unit_test(uint32_t * h, uint32_t * l, uint32_t scale); -extern void add_unsigned_hl_unit_test(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l); - -extern void mul_mel_sim(uint32_t * h, uint32_t * l, uint32_t scale); -void add_unsigned_hl_sim(uint32_t * sumH, uint32_t * sumL, uint32_t h, uint32_t l); - - -void test(){ - unsigned tests_per_hr = 1000; - unsigned seed = 6031759; - - unsigned max = 0x1; - for(int i=0; i -#include -#include -#include - -#include - -#include "audio_test_tools.h" -extern "C" { - #include "vad_api.h" -} - -#else - -#include -#include -#include -#include "vad_api.h" -#include "pseudo_rand.h" - -#endif // __XC__ - - -#define TEST_ASM 1 - -// Set F to a power of 2 greater than 1 to speedup testing by a Fx -#undef F -#ifdef SPEEDUP_FACTOR - #define F (SPEEDUP_FACTOR) -#else - #define F 1 -#endif - - -#endif /* VAD_UNIT_TESTS_ */ diff --git a/test/lib_vnr/profile_memory/CMakeLists.txt b/test/lib_vnr/profile_memory/CMakeLists.txt index 88532257a..db18d2941 100644 --- a/test/lib_vnr/profile_memory/CMakeLists.txt +++ b/test/lib_vnr/profile_memory/CMakeLists.txt @@ -58,23 +58,4 @@ target_link_options(${APP_NAME} "-report" ) - - -################################################ -set(APP_NAME fwk_voice_vnr_test_vad_memory) -add_executable(${APP_NAME}) -target_sources(${APP_NAME} PRIVATE src/profile_vad.c) -target_link_libraries(${APP_NAME} - PUBLIC - fwk_voice::vad - ) -target_compile_options(${APP_NAME} - PRIVATE ${APP_COMPILER_FLAGS}) -target_link_options(${APP_NAME} - PRIVATE - -w - "-target=${XCORE_TARGET}" - "-report" - ) - ################################################ diff --git a/test/lib_vnr/profile_memory/src/profile_vad.c b/test/lib_vnr/profile_memory/src/profile_vad.c deleted file mode 100644 index 8a66b01fb..000000000 --- a/test/lib_vnr/profile_memory/src/profile_vad.c +++ /dev/null @@ -1,11 +0,0 @@ - -#include "vad_api.h" - -vad_state_t state; - -int main(int argc, char** argv) { - vad_init(&state); - int32_t input[VAD_FRAME_ADVANCE] = {0}; - uint8_t vad = vad_probability_voice(input, &state); - return (int)vad; -} diff --git a/test/shared/CMakeLists.txt b/test/shared/CMakeLists.txt index c6032ab8e..c352cba72 100644 --- a/test/shared/CMakeLists.txt +++ b/test/shared/CMakeLists.txt @@ -30,7 +30,3 @@ add_library(fwk_voice::test::shared::unity ALIAS fwk_voice_test_shared_unity) ################# add_subdirectory(legacy_compat) - -if(CMAKE_SYSTEM_NAME STREQUAL XCORE_XS3A) - add_subdirectory(lib_dsp) -endif() diff --git a/test/shared/lib_dsp/CMakeLists.txt b/test/shared/lib_dsp/CMakeLists.txt deleted file mode 100644 index 7ff4393bb..000000000 --- a/test/shared/lib_dsp/CMakeLists.txt +++ /dev/null @@ -1,89 +0,0 @@ -## Source files -file(GLOB_RECURSE LIB_C_SOURCES ${LIB_DSP_PATH}/lib_dsp/src/*.c ) -file(GLOB_RECURSE LIB_CXX_SOURCES ${LIB_DSP_PATH}/lib_dsp/src/*.cc) -file(GLOB_RECURSE LIB_XC_SOURCES ${LIB_DSP_PATH}/lib_dsp/src/*.xc) -file(GLOB_RECURSE LIB_ASM_SOURCES ${LIB_DSP_PATH}/lib_dsp/src/*.S ) - -## cmake doesn't recognize .S files as assembly by default -set_source_files_properties(LIB_ASM_SOURCES PROPERTIES LANGUAGE ASM) - -## Assume all asm is XS3A for now -set(XCORE_XS3A_SOURCES ${LIB_ASM_SOURCES}) -list(APPEND XCORE_XS3A_SOURCES ${LIB_XC_SOURCES}) - -## Set any local library compile options -set(LIB_COMPILE_FLAGS "") - -## Includes files -set(LIB_PUBLIC_INCLUDES ${LIB_DSP_PATH}/lib_dsp/api) -set(LIB_PRIVATE_INCLUDES ${LIB_DSP_PATH}/lib_dsp/src) - -## Gather library sources -set(LIB_PUBLIC_SOURCES "") -set(LIB_PRIVATE_SOURCES ${LIB_C_SOURCES} ${LIB_CXX_SOURCES}) - -## Append platform specific sources -list(APPEND LIB_PRIVATE_SOURCES ${${CMAKE_SYSTEM_NAME}_SOURCES}) - - -if((${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) OR (${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS2A)) - ## Create library target - add_library(fwk_voice_test_deps_lib_dsp STATIC) - target_sources(fwk_voice_test_deps_lib_dsp - PUBLIC - ${LIB_PUBLIC_SOURCES} - PRIVATE - ${LIB_PRIVATE_SOURCES} - ) - target_include_directories(fwk_voice_test_deps_lib_dsp - PUBLIC - ${LIB_PUBLIC_INCLUDES} - PRIVATE - ${LIB_PRIVATE_INCLUDES} - ) - target_compile_options(fwk_voice_test_deps_lib_dsp - PRIVATE - ${LIB_COMPILE_FLAGS} - ) - target_link_libraries(fwk_voice_test_deps_lib_dsp - PUBLIC - fwk_voice_test_deps::legacy_compat - ) - - ## Create an alias - add_library(fwk_voice_test_deps::lib_dsp ALIAS fwk_voice_test_deps_lib_dsp) -else() ## Assume Host - ## Remove xcore only sources - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/bfp/dsp_bfp.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/bfp/dsp_bfp_vector.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/dsp_adaptive.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/dsp_design.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/dsp_filters.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/dsp_math.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/dsp_matrix.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/dsp_statistics.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/dsp_vector.c) - list(REMOVE_ITEM LIB_PRIVATE_SOURCES ${CMAKE_CURRENT_LIST_DIR}/lib_dsp/src/testing/dsp_testing_rand.c) - - ## Create library target - add_library(fwk_voice_test_deps_lib_dsp STATIC) - target_sources(fwk_voice_test_deps_lib_dsp - PUBLIC - ${LIB_PUBLIC_SOURCES} - PRIVATE - ${LIB_PRIVATE_SOURCES} - ) - target_include_directories(fwk_voice_test_deps_lib_dsp - PUBLIC - ${LIB_PUBLIC_INCLUDES} - PRIVATE - ${LIB_PRIVATE_INCLUDES} - ) - target_compile_options(fwk_voice_test_deps_lib_dsp - PRIVATE - ${LIB_COMPILE_FLAGS} - ) - - ## Create an alias - add_library(fwk_voice_test_deps::lib_dsp ALIAS fwk_voice_test_deps_lib_dsp) -endif() diff --git a/test/test_hpf/CMakeLists.txt b/test/test_hpf/CMakeLists.txt index 121eaf04d..662e15863 100644 --- a/test/test_hpf/CMakeLists.txt +++ b/test/test_hpf/CMakeLists.txt @@ -63,7 +63,6 @@ foreach( testfile ${TEST_SOURCES} ) target_link_libraries(fwk_voice_${TESTNAME} PUBLIC - fwk_voice_test_deps::lib_dsp core::xs3_math fwk_voice::test::shared::test_utils fwk_voice::test::shared::unity From 685c01b49c0106ad8aca997bc138b6e38c8c5d16 Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Fri, 19 Aug 2022 10:37:50 +0100 Subject: [PATCH 02/21] adding .txt to view --- Jenkinsfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Jenkinsfile b/Jenkinsfile index f73c0c6a4..eac647d3c 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -14,7 +14,7 @@ pipeline { } environment { REPO = 'sw_avona' - VIEW = 'sw_avona_cleanup' + VIEW = 'sw_avona_cleanup.txt' FULL_TEST = """${(params.FULL_TEST_OVERRIDE || env.BRANCH_NAME == 'develop' || env.BRANCH_NAME == 'main' From 8d34505a10f4d0ec355b6d66e4a8b703c307b7e8 Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Fri, 19 Aug 2022 13:38:32 +0100 Subject: [PATCH 03/21] trying to remove x86 build from fistrick, sorting out artifacts --- Jenkinsfile | 61 +++++++++++++++++++++++++++++++++++++++++------------ 1 file changed, 48 insertions(+), 13 deletions(-) diff --git a/Jenkinsfile b/Jenkinsfile index eac647d3c..36fab1433 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -57,7 +57,7 @@ pipeline { sh "mkdir build" } // Do x86 versions first because it's hard to glob just for extensionless files - dir("${REPO}/build") { + /*dir("${REPO}/build") { viewEnv() { withVenv { sh "cmake --version" @@ -81,15 +81,15 @@ pipeline { runPython("python build_vnr_feature_extraction.py") } } - } - dir("${REPO}") { - stash name: 'cmake_build_x86_examples', includes: 'build/**/fwk_voice_example_bare_metal_*' + }*/ + //dir("${REPO}") { + //stash name: 'cmake_build_x86_examples', includes: 'build/**/fwk_voice_example_bare_metal_*' // We are archveing the x86 version. Be careful - these have the same file name as the xcore versions but the linker should warn at least in this case - stash name: 'cmake_build_x86_libs', includes: 'build/**/*.a' - archiveArtifacts artifacts: "build/**/fwk_voice_example_bare_metal_*", fingerprint: true - stash name: 'vnr_py_c_feature_compare', includes: 'test/lib_vnr/py_c_feature_compare/build/**' - stash name: 'py_c_frame_compare', includes: 'test/lib_ic/py_c_frame_compare/build/**' - } + //stash name: 'cmake_build_x86_libs', includes: 'build/**/*.a' + //archiveArtifacts artifacts: "build/**/fwk_voice_example_bare_metal_*", fingerprint: true + //stash name: 'vnr_py_c_feature_compare', includes: 'test/lib_vnr/py_c_feature_compare/build/**' + //stash name: 'py_c_frame_compare', includes: 'test/lib_ic/py_c_frame_compare/build/**' + //} // Now do xcore files dir("${REPO}/build") { viewEnv() { @@ -163,6 +163,37 @@ pipeline { } } } + // We do this again on the NUCs for verification later, but this just checks we have no build error + dir("${REPO}/test/lib_ic/py_c_frame_compare") { + viewEnv() { + withVenv { + runPython("python build_ic_frame_proc.py") + } + } + } + // We do this again on the NUCs for verification later, but this just checks we have no build error + dir("${REPO}/test/lib_vnr/py_c_feature_compare") { + viewEnv() { + withVenv { + runPython("python build_vnr_feature_extraction.py") + } + } + } + dir("${REPO}/test/stage_b") { + viewEnv() { + withVenv { + runPython("python build_c_code.py") + } + } + } + dir("${REPO}") { + //stash name: 'cmake_build_x86_examples', includes: 'build/**/fwk_voice_example_bare_metal_*' + // We are archveing the x86 version. Be careful - these have the same file name as the xcore versions but the linker should warn at least in this case + //stash name: 'cmake_build_x86_libs', includes: 'build/**/*.a' + archiveArtifacts artifacts: "build/**/fwk_voice_example_bare_metal_*", fingerprint: true + //stash name: 'vnr_py_c_feature_compare', includes: 'test/lib_vnr/py_c_feature_compare/build/**' + //stash name: 'py_c_frame_compare', includes: 'test/lib_ic/py_c_frame_compare/build/**' + //} dir("${REPO}") { unstash 'cmake_build_xcore' } @@ -206,7 +237,6 @@ pipeline { sh "mv output.wav ic_example_output.wav" } } - archiveArtifacts artifacts: "ic_example_output.wav", fingerprint: true } dir("${REPO}/examples/bare-metal/pipeline_single_threaded") { viewEnv() { @@ -364,7 +394,7 @@ pipeline { junit "pytest_result.xml" } } - archiveArtifacts artifacts: "ic_prof.log", fingerprint: true + //archiveArtifacts artifacts: "ic_prof.log", fingerprint: true } } } @@ -385,7 +415,7 @@ pipeline { //sh "python plot_ic.py" } } - archiveArtifacts artifacts: "ic_spec_summary.txt", fingerprint: true + //archiveArtifacts artifacts: "ic_spec_summary.txt", fingerprint: true } } } @@ -442,7 +472,7 @@ pipeline { withVenv { withMounts([["projects", "projects/hydra_audio", "hydra_audio_stage_b_tests"]]) { withEnv(["hydra_audio_PATH=$hydra_audio_stage_b_tests_PATH"]) { - runPython("python build_c_code.py") + //runPython("python build_c_code.py") sh "pytest -s --junitxml=pytest_result.xml" junit "pytest_result.xml" } @@ -649,8 +679,13 @@ pipeline { }// stages post { always { + // Examples artifacts + archiveArtifacts artifacts: "${REPO}/build/**/fwk_voice_example_bare_metal_*", fingerprint: true // AEC aretfacts archiveArtifacts artifacts: "${REPO}/test/lib_adec/test_adec_profile/**/adec_prof*.log", fingerprint: true + // IC artefacts + archiveArtifacts artifacts: "${REPO}/test/lib_ic/test_ic_profile/ic_prof.log", fingerprint: true + archiveArtifacts artifacts: "${REPO}/test/lib_ic/test_ic_spec/ic_spec_summary.txt", fingerprint: true // NS artefacts archiveArtifacts artifacts: "${REPO}/test/lib_ns/test_ns_profile/ns_prof.log", fingerprint: true // VNR artifacts From 14b837d6935011b670f71f4080b691482e113e8d Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Fri, 19 Aug 2022 13:43:06 +0100 Subject: [PATCH 04/21] missing bracket --- Jenkinsfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Jenkinsfile b/Jenkinsfile index 36fab1433..6b4a5139e 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -193,7 +193,7 @@ pipeline { archiveArtifacts artifacts: "build/**/fwk_voice_example_bare_metal_*", fingerprint: true //stash name: 'vnr_py_c_feature_compare', includes: 'test/lib_vnr/py_c_feature_compare/build/**' //stash name: 'py_c_frame_compare', includes: 'test/lib_ic/py_c_frame_compare/build/**' - //} + } dir("${REPO}") { unstash 'cmake_build_xcore' } From 8843002c511ba6c31ac70ee29a8ae703d845bf4f Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Fri, 19 Aug 2022 13:49:07 +0100 Subject: [PATCH 05/21] not remove cmake cache --- Jenkinsfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Jenkinsfile b/Jenkinsfile index 6b4a5139e..943a5c44f 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -94,7 +94,7 @@ pipeline { dir("${REPO}/build") { viewEnv() { withVenv { - sh 'rm CMakeCache.txt' + //sh 'rm CMakeCache.txt' script { if (env.FULL_TEST == "1") { sh 'cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake -DPython3_VIRTUALENV_FIND="ONLY" -DFWK_VOICE_BUILD_TESTS=ON' From 7ff4abae63557b100c600058b35f89cf5a3db3c7 Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Fri, 19 Aug 2022 14:50:01 +0100 Subject: [PATCH 06/21] removing commented out stuff from Jenkinsfile --- Jenkinsfile | 49 ++----------------------------------------------- 1 file changed, 2 insertions(+), 47 deletions(-) diff --git a/Jenkinsfile b/Jenkinsfile index 943a5c44f..01a499fbd 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -56,45 +56,10 @@ pipeline { dir("${REPO}") { sh "mkdir build" } - // Do x86 versions first because it's hard to glob just for extensionless files - /*dir("${REPO}/build") { - viewEnv() { - withVenv { - sh "cmake --version" - sh 'cmake -S.. -DPython3_FIND_VIRTUALENV="ONLY" -DTEST_WAV_ADEC_BUILD_CONFIG="1 2 2 10 5" -DFWK_VOICE_BUILD_TESTS=ON' - sh "make -j8" - } - } - } - // We do this again on the NUCs for verification later, but this just checks we have no build error - dir("${REPO}/test/lib_ic/py_c_frame_compare") { - viewEnv() { - withVenv { - runPython("python build_ic_frame_proc.py") - } - } - } - // We do this again on the NUCs for verification later, but this just checks we have no build error - dir("${REPO}/test/lib_vnr/py_c_feature_compare") { - viewEnv() { - withVenv { - runPython("python build_vnr_feature_extraction.py") - } - } - }*/ - //dir("${REPO}") { - //stash name: 'cmake_build_x86_examples', includes: 'build/**/fwk_voice_example_bare_metal_*' - // We are archveing the x86 version. Be careful - these have the same file name as the xcore versions but the linker should warn at least in this case - //stash name: 'cmake_build_x86_libs', includes: 'build/**/*.a' - //archiveArtifacts artifacts: "build/**/fwk_voice_example_bare_metal_*", fingerprint: true - //stash name: 'vnr_py_c_feature_compare', includes: 'test/lib_vnr/py_c_feature_compare/build/**' - //stash name: 'py_c_frame_compare', includes: 'test/lib_ic/py_c_frame_compare/build/**' - //} - // Now do xcore files + // Do xcore files dir("${REPO}/build") { viewEnv() { withVenv { - //sh 'rm CMakeCache.txt' script { if (env.FULL_TEST == "1") { sh 'cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake -DPython3_VIRTUALENV_FIND="ONLY" -DFWK_VOICE_BUILD_TESTS=ON' @@ -108,6 +73,7 @@ pipeline { } } dir("${REPO}") { + // Stash all executables and xscope_fileio stash name: 'cmake_build_xcore', includes: 'build/**/*.xe, build/**/conftest.py, build/**/xscope_fileio/**' } } @@ -186,14 +152,6 @@ pipeline { } } } - dir("${REPO}") { - //stash name: 'cmake_build_x86_examples', includes: 'build/**/fwk_voice_example_bare_metal_*' - // We are archveing the x86 version. Be careful - these have the same file name as the xcore versions but the linker should warn at least in this case - //stash name: 'cmake_build_x86_libs', includes: 'build/**/*.a' - archiveArtifacts artifacts: "build/**/fwk_voice_example_bare_metal_*", fingerprint: true - //stash name: 'vnr_py_c_feature_compare', includes: 'test/lib_vnr/py_c_feature_compare/build/**' - //stash name: 'py_c_frame_compare', includes: 'test/lib_ic/py_c_frame_compare/build/**' - } dir("${REPO}") { unstash 'cmake_build_xcore' } @@ -394,7 +352,6 @@ pipeline { junit "pytest_result.xml" } } - //archiveArtifacts artifacts: "ic_prof.log", fingerprint: true } } } @@ -415,7 +372,6 @@ pipeline { //sh "python plot_ic.py" } } - //archiveArtifacts artifacts: "ic_spec_summary.txt", fingerprint: true } } } @@ -472,7 +428,6 @@ pipeline { withVenv { withMounts([["projects", "projects/hydra_audio", "hydra_audio_stage_b_tests"]]) { withEnv(["hydra_audio_PATH=$hydra_audio_stage_b_tests_PATH"]) { - //runPython("python build_c_code.py") sh "pytest -s --junitxml=pytest_result.xml" junit "pytest_result.xml" } From 34b34d73ad524f74933f2b5d124f7679c7e91a4d Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Fri, 19 Aug 2022 15:03:49 +0100 Subject: [PATCH 07/21] removing custom view --- Jenkinsfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Jenkinsfile b/Jenkinsfile index 01a499fbd..60f69c01d 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -14,7 +14,7 @@ pipeline { } environment { REPO = 'sw_avona' - VIEW = 'sw_avona_cleanup.txt' + VIEW = getViewName(REPO) FULL_TEST = """${(params.FULL_TEST_OVERRIDE || env.BRANCH_NAME == 'develop' || env.BRANCH_NAME == 'main' From 6fd5915eb25dbda5e9cac7d5ecb92126babfe500 Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Fri, 19 Aug 2022 16:01:24 +0100 Subject: [PATCH 08/21] custom view, removing vad from docs --- Jenkinsfile | 2 +- doc/Doxyfile.inc | 3 --- examples/bare-metal/CMakeLists.txt | 2 +- examples/bare-metal/agc/README.rst | 2 +- examples/bare-metal/ic/README.rst | 6 +++--- examples/bare-metal/pipeline_alt_arch/README.rst | 6 +++--- 6 files changed, 9 insertions(+), 12 deletions(-) diff --git a/Jenkinsfile b/Jenkinsfile index 60f69c01d..0f9172a1f 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -14,7 +14,7 @@ pipeline { } environment { REPO = 'sw_avona' - VIEW = getViewName(REPO) + VIEW = 'sw_avona_cleanup' FULL_TEST = """${(params.FULL_TEST_OVERRIDE || env.BRANCH_NAME == 'develop' || env.BRANCH_NAME == 'main' diff --git a/doc/Doxyfile.inc b/doc/Doxyfile.inc index ca8c3bb55..a789d312b 100644 --- a/doc/Doxyfile.inc +++ b/doc/Doxyfile.inc @@ -18,9 +18,6 @@ INPUT += ../modules/lib_adec/api # IC module INPUT += ../modules/lib_ic/api -# VAD module -INPUT += ../modules/lib_vad/api - # VNR module INPUT += ../modules/lib_vnr/api/common INPUT += ../modules/lib_vnr/api/features diff --git a/examples/bare-metal/CMakeLists.txt b/examples/bare-metal/CMakeLists.txt index d0c19afae..dd9abe248 100644 --- a/examples/bare-metal/CMakeLists.txt +++ b/examples/bare-metal/CMakeLists.txt @@ -15,7 +15,7 @@ add_subdirectory( vnr ) ## Multi thread example builds only on XCORE if(${CMAKE_SYSTEM_NAME} STREQUAL XCORE_XS3A) - #TODO move vad back to all examples when we can build it + add_subdirectory( aec_2_threads ) add_subdirectory( pipeline_multi_threaded ) diff --git a/examples/bare-metal/agc/README.rst b/examples/bare-metal/agc/README.rst index dd7716c36..8db5bb64b 100644 --- a/examples/bare-metal/agc/README.rst +++ b/examples/bare-metal/agc/README.rst @@ -5,7 +5,7 @@ agc This example demonstrates how AGC functions are called on a single thread to process data through the AGC stage of a pipeline. A single AGC instance is run using the profile that is tuned for communication with a human listener. -Since this example application only demonstrates the AGC module, without a VAD or an AEC, adaption based on voice +Since this example application only demonstrates the AGC module, without a VNR or an AEC, adaption based on voice activity and the loss control feature are both disabled. The input is a single channel, 32-bit wav file, which is read and processed through the AGC frame-by-frame. diff --git a/examples/bare-metal/ic/README.rst b/examples/bare-metal/ic/README.rst index 582a7b303..9c2a8beb0 100644 --- a/examples/bare-metal/ic/README.rst +++ b/examples/bare-metal/ic/README.rst @@ -9,9 +9,9 @@ A 32-bit, 2 channel wav file input.wav is read and processed through the IC stag mic input consisting of a `Alexa` utterances with a point noise source consisting of pop music. The signal and noise sources in input.wav come from different spatial locations. -The interference cancelled version of the mic input is generated as the IC output and written to the output.wav file. In this example, a VAD -is not used and so the VAD signal is set to 0 to indicate that voice is not present, meaning adaption will occur. In a practical system, the -VAD probability would increase during the utterances to ensure the IC does not adapt to the voice and cause it to be attenuated. The test +The interference cancelled version of the mic input is generated as the IC output and written to the output.wav file. In this example, a VNR +is not used and so the VNR signal is set to 0 to indicate that voice is not present, meaning adaption will occur. In a practical system, the +VNR voice to noise ratio would increase during the utterances to ensure the IC does not adapt to the voice and cause it to be attenuated. The test file has only a few short voice utterances and so the example works and demonstrates the IC operation. Building diff --git a/examples/bare-metal/pipeline_alt_arch/README.rst b/examples/bare-metal/pipeline_alt_arch/README.rst index 66cb68270..3e6d953b7 100644 --- a/examples/bare-metal/pipeline_alt_arch/README.rst +++ b/examples/bare-metal/pipeline_alt_arch/README.rst @@ -7,7 +7,7 @@ This example demonstrates how the audio processing stages are put together in an In this example, a 32-bit, 4 channel wav file input.wav is read and processed through the pipeline modules frame by frame. The example currently demonstrates a pipeline having AEC, IC, NS and AGC stages. It also demonstrates the use of ADEC module to do a one time estimation and correction for possible reference and loudspeaker delay offsets at start up in order to -maximise AEC performance. ADEC processing happens on the same thread as the AEC. The VAD is introduced +maximise AEC performance. ADEC processing happens on the same thread as the AEC. The VNR is introduced to give the IC and the AGC information about the speech presence in a frame. The AEC is configured for 1 mic input channel, 2 reference input channels, 15 phase main filter and a 5 phase shadow @@ -21,7 +21,7 @@ In the absense of activity on the reference channels, when the AEC is disabled, When enabled, the IC processes the two channel input. It will use the second channel as the reference to the first to output one channel of interference cancelled output. In this manner, it tries to cancel the room noise. However, to avoid cancelling the wanted signal, it only adapts in the absence of voice. -Hence the VAD is called to calculate the probability of the voice activity. The output of the VAD will allow IC to modulate the rate +Hence the VNR is called to calculate the voice to noise ratio estimation in a frame. The output of the VNR will allow IC to modulate the rate at which it adapts it's coefficients. The output of the IC is copied to the second channel as well. When disabled in the presence of reference channel activity, the IC stage configured in bypass mode. The NS is a single channel API, so two instances of NS should be initialised for 2 channel processing. The NS is configured the same way @@ -29,7 +29,7 @@ for both channels. It will try to predict the background noise and cancel it fro The AGC is configured for ASR engine suitable gain control on both channels. The output of AGC stage is the pipeline output which is written into a 2 channel output wav file. The AGC also takes the output -of the VAD to control when to adapt. This avoids noise being amplified during the absence of voice. +of the VNR to control when to adapt. This avoids noise being amplified during the absence of voice. The example build outputs 2 executables, a single thread and a multi-thread implementation of the pipeline. The single thread version does the entire pipeline processing on a single thread. In the multi-thread version, the audio processing consumes 5 hardware threads; 2 for the AEC stage, 1 for the IC and VAD, 1 for the NS stage and 1 for the AGC stage. Note that it is possible to run the full pipeline in as little as two 75MHz threads if required using one thread for stage 1 and From 19a4dcef06eb0f5353fb67bf60b0c030d5e07791 Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Mon, 22 Aug 2022 10:01:58 +0100 Subject: [PATCH 09/21] adding test for ic control system --- test/stage_b/build_c_code.py | 4 +- test/stage_b/ic_vnr_test.c | 10 ++-- test/stage_b/test_stage_b_frame.py | 90 +++++++++++++++--------------- 3 files changed, 52 insertions(+), 52 deletions(-) diff --git a/test/stage_b/build_c_code.py b/test/stage_b/build_c_code.py index 4b38165cf..990c6508f 100644 --- a/test/stage_b/build_c_code.py +++ b/test/stage_b/build_c_code.py @@ -39,7 +39,7 @@ void test_filter(int32_t y_data[IC_FRAME_ADVANCE], int32_t x_data[IC_FRAME_ADVANCE], int32_t output[IC_FRAME_ADVANCE]); void test_adapt(float_s32_t vnr); float_s32_t test_vnr(); - void test_set_ic_energies(double ie_s, double oe_s, double ie_f, double oe_f); + void test_control_system(double vnr_fl, int32_t ad_config, double fast_ratio); """ #Bit of a faff having to do this. The preproc doesn't handle mul/div or enums or even #define so do it here manually replacements = [["bfp_flags_e", "int"], @@ -70,7 +70,7 @@ void test_filter(int32_t y_data[IC_FRAME_ADVANCE], int32_t x_data[IC_FRAME_ADVANCE], int32_t output[IC_FRAME_ADVANCE]); void test_adapt(float_s32_t vnr); float_s32_t test_vnr(); - void test_set_ic_energies(double ie_s, double oe_s, double ie_f, double oe_f); + void test_control_system(double vnr_fl, int32_t ad_config, double fast_ratio); """, sources=SRCS, library_dirs=[ diff --git a/test/stage_b/ic_vnr_test.c b/test/stage_b/ic_vnr_test.c index d002c954b..395109466 100644 --- a/test/stage_b/ic_vnr_test.c +++ b/test/stage_b/ic_vnr_test.c @@ -33,9 +33,9 @@ float_s32_t test_vnr(){ return vnr_pred_state.input_vnr_pred; } -void test_set_ic_energies(double ie_s, double oe_s, double ie_f, double oe_f){ - //ic_state.ic_adaption_controller_state.input_energy_slow = double_to_float_s32(ie_s); - //ic_state.ic_adaption_controller_state.output_energy_slow = double_to_float_s32(oe_s); - //ic_state.ic_adaption_controller_state.input_energy_fast = double_to_float_s32(ie_f); - //ic_state.ic_adaption_controller_state.output_energy_fast = double_to_float_s32(oe_f); +void test_control_system(double vnr_fl, int32_t ad_config, double fast_ratio){ + ic_state.ic_adaption_controller_state.adaption_controller_config.adaption_config = ad_config; + ic_state.ic_adaption_controller_state.fast_ratio = double_to_float_s32(fast_ratio); + float_s32_t vnr = double_to_float_s32(vnr_fl); + ic_mu_control_system(&ic_state, vnr); } diff --git a/test/stage_b/test_stage_b_frame.py b/test/stage_b/test_stage_b_frame.py index b3fe814ac..63bd2c91c 100644 --- a/test/stage_b/test_stage_b_frame.py +++ b/test/stage_b/test_stage_b_frame.py @@ -1,6 +1,7 @@ # Copyright 2022 XMOS LIMITED. # This Software is subject to the terms of the XMOS Public Licence: Version 1. +from ast import If import numpy as np import scipy.io.wavfile import audio_wav_utils as awu @@ -52,7 +53,6 @@ def __init__(self, ic_conf): self.num_phases = ic_conf["phases"] self.ic = IC.adaptive_interference_canceller(**ic_conf) - #self.vnr = vnr.Vnr(model_file=tflite_model) self.x_data = np.zeros(self.proc_frame_length, dtype=np.float64) @@ -84,7 +84,6 @@ def process_frame(self, frame, index): if (index < frames_print) and False: print(f"py_vnr: {py_vnr}, c_vnr: {pvc.float_s32_to_float(c_vnr)}") - #note we override c_vnr to match py_vnr for comparison #c_vnr = [int(0), int(0)] # dummy if (index < frames_print) and False: print(f"py_vnr: {py_vnr}, c_vnr: {pvc.float_s32_to_float(c_vnr)}") @@ -147,53 +146,54 @@ def test_frame_compare(test_config): assert geo_closeness > 0.98 assert arith_closeness > 0.87 #Still very close over a 30s piece of audio with multiple blocks (adaption controller & IC) -""" #Check equivalence of adaption controller +def get_ad_conf(int): + if int == 0: + ad_conf = 'IC_ADAPTION_AUTO' + elif int == 1: + ad_conf = 'IC_ADAPTION_FORCE_ON' + elif int == 2: + ad_conf = 'IC_ADAPTION_FORCE_OFF' + else: + assert 1, f'ad_conf can only take 0 - 2, ad_conf = {int}' + return ad_conf + +#Check equivalence of adaption controller def test_adaption_controller(test_config): - stage_b_conf = test_config - #instantiate and init a stage B instance - #sb = ap_stage_b(stage_b_conf["ic_conf"]["frame_advance"], stage_b_conf["ic_conf"],stage_b_conf["ic_conf"]["passthrough_channel_count"], mic_shift=0, mic_saturate=0) - sbc = stage_b_comparison(test_config) - #Init the fwk_voice instance + + ic = IC.adaptive_interference_canceller(**test_config) ic_vnr_test_lib.test_init() - #A few fixed sceanrios - vnr_vects = [0, 0.1, 0.2, 0.1, 0.99, 1.0] - in_energy_vects_slow = [0.1, 0.2, 0.3, 0.4, 0.2, 0.2] - out_energy_vects_slow = [0.1, 0.15, 0.2, 0.3, 0.1, 0.1] - in_energy_vects_fast = [0.1, 0.2, 0.3, 0.4, 0.2, 0.2] - out_energy_vects_fast = [0.1, 0.3, 0.2, 0.1, 0.1, 0.1] - - #A lot of random scenarios - for i in range(1000): - vnr_vects.append(np.random.random(1)[0]) - in_energy_vects_slow.append(np.random.random(1)[0]) - out_energy_vects_slow.append(np.random.random(1)[0]) - in_energy_vects_fast.append(np.random.random(1)[0]) - out_energy_vects_fast.append(np.random.random(1)[0]) - - for vnr, in_s, out_s, in_f, out_f in zip(vnr_vects, in_energy_vects_slow, out_energy_vects_slow, - in_energy_vects_fast, out_energy_vects_fast): - sbc.input_energy = in_s - sbc.output_energy = out_s - sbc.input_energy0 = in_f - sbc.output_energy0 = out_f - - sbc.adaption_controller(vnr, 1000) - py_mu = sbc.ic.mu - py_svc = sbc.smoothed_voice_chance - - c_vnr = pvc.float_to_float_s32(vnr) - ic_vnr_test_lib.test_set_ic_energies(in_s, out_s, in_f, out_f) - ic_vnr_test_lib.test_adaption_controller(c_vnr) + vnr_vect = np.random.random(10000) + fast_ratio_vect = 2.0 * np.random.random(10000) + ad_config_vect = np.zeros((5000), np.int32) # First 5000 are ADAPTION_AUTO + ad_config_vect = np.hstack((ad_config_vect, np.random.randint(low = 0, high = 3, size = (5000), dtype = np.int32))) + + for vnr, fast_ratio, ad_config in zip(vnr_vect, fast_ratio_vect, ad_config_vect): + + ic.fast_ratio = fast_ratio + ic.adaption_config = get_ad_conf(ad_config) + ic.input_vnr_pred = vnr + ic.mu_control_system() + py_mu = ic.mu + py_leakage = ic.leakage + py_counter = ic.adapt_counter + py_flag = ic.control_flag + + ic_vnr_test_lib.test_control_system(vnr, ad_config, fast_ratio) ic_state = ic_vnr_test_lib.test_get_ic_state() c_mu = pvc.float_s32_to_float(ic_state.mu[0][0]) - c_svc = pvc.float_s32_to_float(ic_state.ic_adaption_controller_state.smoothed_voice_chance) + c_leakage = pvc.float_s32_to_float(ic_state.leakage_alpha) + c_counter = ic_state.ic_adaption_controller_state.adapt_counter + c_flag = ic_state.ic_adaption_controller_state.control_flag - # print(f"py_mu:{py_mu}, c_mu:{c_mu}") - # print(f"py_svc:{py_svc}, c_svc:{c_svc}") - - rtol=1-(1/256)#Because we quantise to 8b for VAD input - atol=1/256 + if False: + print(f"py_mu:{py_mu}, c_mu:{c_mu}") + print(f"py_leak:{py_leakage}, c_leak:{c_leakage}") + if False: + print(f"py_flag:{py_flag}, c_flag:{c_flag}") + print(f"py_count:{py_counter}, c_count:{c_counter}") - assert np.isclose(py_mu, c_mu, rtol=rtol, atol=atol) - assert np.isclose(py_svc, c_svc, rtol=rtol, atol=atol) """ + assert py_flag == c_flag + assert py_counter == c_counter + assert np.isclose(py_mu, c_mu) + assert np.isclose(py_leakage, c_leakage) From 6d3d04e9244675defc6bc0a091e9a224126b565c Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Wed, 24 Aug 2022 13:00:29 +0100 Subject: [PATCH 10/21] removing vad from the example docs --- Jenkinsfile | 6 ------ examples/bare-metal/doc/index.rst | 1 - examples/bare-metal/doc/vad.rst | 1 - examples/bare-metal/vnr/README.rst | 2 +- 4 files changed, 1 insertion(+), 9 deletions(-) delete mode 100644 examples/bare-metal/doc/vad.rst diff --git a/Jenkinsfile b/Jenkinsfile index 0f9172a1f..50118d97a 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -53,9 +53,6 @@ pipeline { } stage('CMake') { steps { - dir("${REPO}") { - sh "mkdir build" - } // Do xcore files dir("${REPO}/build") { viewEnv() { @@ -112,9 +109,6 @@ pipeline { } stage('Make/get bins and libs'){ steps { - dir("${REPO}") { - sh "mkdir build" - } // Build x86 versions locally as we had problems with moving bins and libs over from previous build due to brew dir("${REPO}/build") { viewEnv() { diff --git a/examples/bare-metal/doc/index.rst b/examples/bare-metal/doc/index.rst index 8d97134da..636b575ae 100644 --- a/examples/bare-metal/doc/index.rst +++ b/examples/bare-metal/doc/index.rst @@ -31,7 +31,6 @@ build step has been completed prior to this. aec_1_thread aec_2_threads - vad vnr ic agc diff --git a/examples/bare-metal/doc/vad.rst b/examples/bare-metal/doc/vad.rst deleted file mode 100644 index c613ff1a4..000000000 --- a/examples/bare-metal/doc/vad.rst +++ /dev/null @@ -1 +0,0 @@ -.. include:: ../vad/README.rst diff --git a/examples/bare-metal/vnr/README.rst b/examples/bare-metal/vnr/README.rst index a565ea7af..810e25e7d 100644 --- a/examples/bare-metal/vnr/README.rst +++ b/examples/bare-metal/vnr/README.rst @@ -1,5 +1,5 @@ -VNR +vnr === This example demonstrates how the VNR functions are called on a single thread to generate the Voice to Noise Ratio (VNR) estimates for an input audio stream. From f86c512e6ce167d3cf7b0aa74c5f03048b659e84 Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Wed, 24 Aug 2022 13:33:02 +0100 Subject: [PATCH 11/21] changing lib_xs3_math commit, changing aec_1_thread documentation, swithing to newer cmake_toolchain --- examples/bare-metal/aec_1_thread/README.rst | 42 +++++++++++++++---- .../shared_src/external_deps/fetch_deps.cmake | 4 +- xmos_cmake_toolchain | 2 +- 3 files changed, 37 insertions(+), 11 deletions(-) diff --git a/examples/bare-metal/aec_1_thread/README.rst b/examples/bare-metal/aec_1_thread/README.rst index 4a8f10eaf..75d4b26b2 100644 --- a/examples/bare-metal/aec_1_thread/README.rst +++ b/examples/bare-metal/aec_1_thread/README.rst @@ -13,16 +13,44 @@ Echo cancelled version of the mic input is generated as the AEC output and writt Building ******** -After configuring the CMake project, the following commands can be used from the -`fwk_voice/examples/bare-metal/aec_1_thread` directory to build and run this example application using the XCORE-AI-EXPLORER board as a target: +Run the following commands in the fwk_voice/build folder to build the firmware for the XCORE-AI-EXPLORER board as a target: -:: +.. tab:: Linux and Mac + + .. code-block:: console - cd ../../../build - make fwk_voice_example_bare_metal_aec_1_thread - cd ../examples/bare-metal/aec_1_thread - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_1_thread/bin/fwk_voice_example_bare_metal_aec_1_thread.xe --input ../shared_src/test_streams/aec_example_input.wav + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + make fwk_voice_example_bare_metal_aec_1_thread + +.. tab:: Windows + + .. code-block:: console + + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + nmake fwk_voice_example_bare_metal_aec_1_thread + +Running +******* + +From the fwk_voice/build folder run: + +.. tab:: Linux and Mac + + .. code-block:: console + + pip install -e /fwk_voice_deps/xscope_fileio + cd ../examples/bare-metal/aec_1_thread + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_1_thread/bin/fwk_voice_example_bare_metal_aec_1_thread.xe --input ../shared_src/test_streams/aec_example_input.wav + +.. tab:: Windows + + .. code-block:: console + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../../examples/bare-metal/aec_1_thread + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_1_thread/bin/fwk_voice_example_bare_metal_aec_1_thread.xe --input ../shared_src/test_streams/aec_example_input.wav Output ------ diff --git a/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake b/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake index 60b8c2a72..c8a434239 100644 --- a/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake +++ b/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake @@ -4,10 +4,9 @@ include(FetchContent) FetchContent_Declare( xs3_math GIT_REPOSITORY https://github.com/xmos/lib_xs3_math.git - GIT_TAG 918aa48b1f6cb284c5db31af1f77592f650e4324 + GIT_TAG 881cf848a5899f4ecb9182e7f50fd3705e5b68ef GIT_SHALLOW FALSE SOURCE_DIR ${CMAKE_BINARY_DIR}/fwk_voice_deps/lib_xs3_math - ) FetchContent_Populate(xs3_math) @@ -17,7 +16,6 @@ FetchContent_Declare( GIT_TAG 86add5101d73d98d4addea9aaeb238072e461b63 GIT_SHALLOW FALSE SOURCE_DIR ${CMAKE_BINARY_DIR}/fwk_voice_deps/xscope_fileio - ) FetchContent_Populate(xscope_fileio) diff --git a/xmos_cmake_toolchain b/xmos_cmake_toolchain index fa4766744..3a19f0284 160000 --- a/xmos_cmake_toolchain +++ b/xmos_cmake_toolchain @@ -1 +1 @@ -Subproject commit fa476674462ecd5e365e2025d3bc0aa43352805e +Subproject commit 3a19f0284c66a92dbb9d5adc9d3d5016aac22646 From 118210e85ce4792e0ba52941da4f6c38e41d9dee Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Wed, 24 Aug 2022 15:48:38 +0100 Subject: [PATCH 12/21] updating examples documentation for windows compatibility --- doc/getting_started.rst | 35 +++++++++++--- examples/bare-metal/aec_1_thread/README.rst | 3 +- examples/bare-metal/aec_2_threads/README.rst | 44 ++++++++++++++--- examples/bare-metal/agc/README.rst | 44 ++++++++++++++--- examples/bare-metal/ic/README.rst | 44 ++++++++++++++--- .../bare-metal/pipeline_alt_arch/README.rst | 47 +++++++++++++++++++ .../pipeline_multi_threaded/README.rst | 45 ++++++++++++++---- .../pipeline_single_threaded/README.rst | 44 ++++++++++++++--- examples/bare-metal/vnr/README.rst | 2 +- 9 files changed, 263 insertions(+), 45 deletions(-) diff --git a/doc/getting_started.rst b/doc/getting_started.rst index 8b61584ed..55605048c 100644 --- a/doc/getting_started.rst +++ b/doc/getting_started.rst @@ -6,7 +6,6 @@ Requirements ------------ * XTC Tools 15.0.6 or higher -* A clone of the `xcore_sdk `_, with its submodules initialised * CMake 3.20 or higher * Python 3.7 or higher @@ -30,19 +29,41 @@ procedure is currently supported on MacOS and Linux only. cd build #. Run cmake to setup the build environment for the XMOS toolchain - .. code-block:: console + .. tab:: Linux and Mac + .. code-block:: console + + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + + .. tab:: Windows + .. code-block:: console - cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake #. Running make will then build the Voice Framework libraries and example applications - .. code-block:: console + .. tab:: Linux and Mac + .. code-block:: console + + make fwk_voice_example_bare_metal_aec_1_thread - make + .. tab:: Windows + ..code-block:: console + + nmake fwk_voice_example_bare_metal_aec_1_thread #. Install dependencies - .. code-block:: console + .. tab:: Linux Mac + .. code-block:: console + + pip install -e build/fwk_voice_deps/xscope_fileio/ + + .. tab:: Windows + .. code-block:: console - pip install -e build/fwk_voice_deps/xscope_fileio/ + pip install -e fwk_voice_deps/xscope_fileio + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../ #. Run the single-threaded AEC example .. code-block:: console diff --git a/examples/bare-metal/aec_1_thread/README.rst b/examples/bare-metal/aec_1_thread/README.rst index 75d4b26b2..4cd23defa 100644 --- a/examples/bare-metal/aec_1_thread/README.rst +++ b/examples/bare-metal/aec_1_thread/README.rst @@ -38,7 +38,7 @@ From the fwk_voice/build folder run: .. code-block:: console - pip install -e /fwk_voice_deps/xscope_fileio + pip install -e fwk_voice_deps/xscope_fileio cd ../examples/bare-metal/aec_1_thread python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_1_thread/bin/fwk_voice_example_bare_metal_aec_1_thread.xe --input ../shared_src/test_streams/aec_example_input.wav @@ -46,6 +46,7 @@ From the fwk_voice/build folder run: .. code-block:: console + pip install -e fwk_voice_deps/xscope_fileio cd fwk_voice_deps/xscope_fileio/host cmake -G "NMake Makefiles" . nmake diff --git a/examples/bare-metal/aec_2_threads/README.rst b/examples/bare-metal/aec_2_threads/README.rst index 05a73b91f..cadbe8934 100644 --- a/examples/bare-metal/aec_2_threads/README.rst +++ b/examples/bare-metal/aec_2_threads/README.rst @@ -14,15 +14,45 @@ Echo cancelled version of the mic input is generated as the AEC output and writt Building ******** -After configuring the CMake project, the following commands can be used from the -`fwk_voice/examples/bare-metal/aec_2_threads` directory to build and run this example application using the XCORE-AI-EXPLORER board as a target: +Run the following commands in the fwk_voice/build folder to build the firmware for the XCORE-AI-EXPLORER board as a target: -:: +.. tab:: Linux and Mac + + .. code-block:: console - cd ../../../build - make fwk_voice_example_bare_metal_aec_2_thread - cd ../examples/bare-metal/aec_2_threads - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_2_threads/bin/fwk_voice_example_bare_metal_aec_2_thread.xe --input ../shared_src/test_streams/aec_example_input.wav + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + make fwk_voice_example_bare_metal_aec_2_thread + +.. tab:: Windows + + .. code-block:: console + + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + nmake fwk_voice_example_bare_metal_aec_2_thread + +Running +******* + +From the fwk_voice/build folder run: + +.. tab:: Linux and Mac + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd ../examples/bare-metal/aec_2_thread + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_2_thread/bin/fwk_voice_example_bare_metal_aec_2_thread.xe --input ../shared_src/test_streams/aec_example_input.wav + +.. tab:: Windows + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../../examples/bare-metal/aec_2_thread + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_2_thread/bin/fwk_voice_example_bare_metal_aec_2_thread.xe --input ../shared_src/test_streams/aec_example_input.wav Output ------ diff --git a/examples/bare-metal/agc/README.rst b/examples/bare-metal/agc/README.rst index dd7716c36..a61d6f5d4 100644 --- a/examples/bare-metal/agc/README.rst +++ b/examples/bare-metal/agc/README.rst @@ -13,15 +13,45 @@ The input is a single channel, 32-bit wav file, which is read and processed thro Building ******** -After configuring the CMake project, the following commands can be used from the `fwk_voice/examples/bare-metal/agc` -directory to build and run this example application using the XCORE-AI-EXPLORER board as a target: +Run the following commands in the fwk_voice/build folder to build the firmware for the XCORE-AI-EXPLORER board as a target: -:: +.. tab:: Linux and Mac - cd ../../../build - make fwk_voice_example_bare_metal_agc - cd ../examples/bare-metal/agc - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/agc/bin/fwk_voice_example_bare_metal_agc.xe --input ../shared_src/test_streams/agc_example_input.wav + .. code-block:: console + + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + make fwk_voice_example_bare_metal_agc + +.. tab:: Windows + + .. code-block:: console + + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + nmake fwk_voice_example_bare_metal_agc + +Running +******* + +From the fwk_voice/build folder run: + +.. tab:: Linux and Mac + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd ../examples/bare-metal/agc + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/agc/bin/fwk_voice_example_bare_metal_agc.xe --input ../shared_src/test_streams/agc_example_input.wav + +.. tab:: Windows + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../../examples/bare-metal/agc + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/agc/bin/fwk_voice_example_bare_metal_agc.xe --input ../shared_src/test_streams/agc_example_input.wav Output ------ diff --git a/examples/bare-metal/ic/README.rst b/examples/bare-metal/ic/README.rst index 582a7b303..e2a659eb9 100644 --- a/examples/bare-metal/ic/README.rst +++ b/examples/bare-metal/ic/README.rst @@ -17,15 +17,45 @@ file has only a few short voice utterances and so the example works and demonstr Building ******** -After configuring the CMake project, the following commands can be used from the -`fwk_voice/examples/bare-metal/ic` directory to build and run this example application using the XCORE-AI-EXPLORER board as a target: +Run the following commands in the fwk_voice/build folder to build the firmware for the XCORE-AI-EXPLORER board as a target: -:: +.. tab:: Linux and Mac + + .. code-block:: console - cd ../../../build - make fwk_voice_example_bare_metal_ic - cd ../examples/bare-metal/ic - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/ic/bin/fwk_voice_example_bare_metal_ic.xe + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + make fwk_voice_example_bare_metal_ic + +.. tab:: Windows + + .. code-block:: console + + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + nmake fwk_voice_example_bare_metal_ic + +Running +******* + +From the fwk_voice/build folder run: + +.. tab:: Linux and Mac + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd ../examples/bare-metal/ic + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/ic/bin/fwk_voice_example_bare_metal_ic.xe + +.. tab:: Windows + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../../examples/bare-metal/ic + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/ic/bin/fwk_voice_example_bare_metal_ic.xe Output ------ diff --git a/examples/bare-metal/pipeline_alt_arch/README.rst b/examples/bare-metal/pipeline_alt_arch/README.rst index 66cb68270..068fb5924 100644 --- a/examples/bare-metal/pipeline_alt_arch/README.rst +++ b/examples/bare-metal/pipeline_alt_arch/README.rst @@ -64,6 +64,53 @@ Running the multi thread version. cd ../examples/bare-metal/pipeline_alt_arch python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_alt_arch/bin/fwk_voice_example_bare_metal_pipeline_alt_arch_mt.xe --input ../shared_src/test_streams/pipeline_example_input.wav +Building +******** + +Run the following commands in the fwk_voice/build folder to build the multi-threaded firmware for the XCORE-AI-EXPLORER board as a target: + +.. tab:: Linux and Mac + + .. code-block:: console + + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + make fwk_voice_example_bare_metal_pipeline_alt_arch_mt + +.. tab:: Windows + + .. code-block:: console + + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + nmake fwk_voice_example_bare_metal_pipeline_alt_arch_mt + +To build the single-threaded firmware use fwk_voice_example_bare_metal_pipeline_alt_arch_st cmake target when doing make(nmake). + +Running +******* + +To run the multi-threaded application run these comands from the fwk_voice/build folder: + +.. tab:: Linux and Mac + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd ../examples/bare-metal/pipeline_alt_arch + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_alt_arch/bin/fwk_voice_example_bare_metal_pipeline_alt_arch_mt.xe --input ../shared_src/test_streams/pipeline_example_input.wav + +.. tab:: Windows + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../../examples/bare-metal/pipeline_alt_arch + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_alt_arch/bin/fwk_voice_example_bare_metal_pipeline_alt_arch_mt.xe --input ../shared_src/test_streams/pipeline_example_input.wav + +To run the single-threaded application use fwk_voice_example_bare_metal_pipeline_alt_arch_st.xe as an executable for the python script. + Output ------ diff --git a/examples/bare-metal/pipeline_multi_threaded/README.rst b/examples/bare-metal/pipeline_multi_threaded/README.rst index 247eb237c..be1fa0805 100644 --- a/examples/bare-metal/pipeline_multi_threaded/README.rst +++ b/examples/bare-metal/pipeline_multi_threaded/README.rst @@ -44,16 +44,45 @@ of reference input. Output is written to the output.wav file consisting of 2 cha Building ******** -After configuring the CMake project, the following commands can be used from the -`fwk_voice/examples/bare-metal/pipeline_multi_threaded` directory to build and run this example application using the -XCORE-AI-EXPLORER board as a target: +Run the following commands in the fwk_voice/build folder to build the firmware for the XCORE-AI-EXPLORER board as a target: -:: +.. tab:: Linux and Mac + + .. code-block:: console - cd ../../../build - make fwk_voice_example_bare_metal_pipeline_multi_thread - cd ../examples/bare-metal/pipeline_multi_threaded - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_multi_threaded/bin/fwk_voice_example_bare_metal_pipeline_multi_thread.xe --input ../shared_src/test_streams/pipeline_example_input.wav + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + make fwk_voice_example_bare_metal_pipeline_multi_thread + +.. tab:: Windows + + .. code-block:: console + + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + nmake fwk_voice_example_bare_metal_pipeline_multi_thread + +Running +******* + +From the fwk_voice/build folder run: + +.. tab:: Linux and Mac + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd ../examples/bare-metal/pipeline_multi_threaded + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_multi_threaded/bin/fwk_voice_example_bare_metal_pipeline_multi_thread.xe --input ../shared_src/test_streams/pipeline_example_input.wav + +.. tab:: Windows + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../../examples/bare-metal/pipeline_multi_threaded + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_multi_threaded/bin/fwk_voice_example_bare_metal_pipeline_multi_thread.xe --input ../shared_src/test_streams/pipeline_example_input.wav Output ------ diff --git a/examples/bare-metal/pipeline_single_threaded/README.rst b/examples/bare-metal/pipeline_single_threaded/README.rst index f3a7e569f..a371c6fac 100644 --- a/examples/bare-metal/pipeline_single_threaded/README.rst +++ b/examples/bare-metal/pipeline_single_threaded/README.rst @@ -41,12 +41,42 @@ of reference input. Output is written to the output.wav file consisting of 2 cha Building ******** -After configuring the CMake project, the following commands can be used from the -`fwk_voice/examples/bare-metal/pipeline_single_threaded` directory to build and run this example application using the XCORE-AI-EXPLORER board as a target: +Run the following commands in the fwk_voice/build folder to build the firmware for the XCORE-AI-EXPLORER board as a target: -:: +.. tab:: Linux and Mac + + .. code-block:: console - cd ../../../build - make fwk_voice_example_bare_metal_pipeline_single_thread - cd ../examples/bare-metal/pipeline_single_threaded - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_single_threaded/bin/fwk_voice_example_bare_metal_pipeline_single_thread.xe --input ../shared_src/test_streams/pipeline_example_input.wav + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + make fwk_voice_example_bare_metal_pipeline_single_thread + +.. tab:: Windows + + .. code-block:: console + + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + nmake fwk_voice_example_bare_metal_pipeline_single_thread + +Running +******* + +From the fwk_voice/build folder run: + +.. tab:: Linux and Mac + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd ../examples/bare-metal/pipeline_single_threaded + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_single_threaded/bin/fwk_voice_example_bare_metal_pipeline_single_thread.xe --input ../shared_src/test_streams/pipeline_example_input.wav + +.. tab:: Windows + + .. code-block:: console + + pip install -e fwk_voice_deps/xscope_fileio + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../../examples/bare-metal/pipeline_single_threaded + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_single_threaded/bin/fwk_voice_example_bare_metal_pipeline_single_thread.xe --input ../shared_src/test_streams/pipeline_example_input.wav diff --git a/examples/bare-metal/vnr/README.rst b/examples/bare-metal/vnr/README.rst index a565ea7af..810e25e7d 100644 --- a/examples/bare-metal/vnr/README.rst +++ b/examples/bare-metal/vnr/README.rst @@ -1,5 +1,5 @@ -VNR +vnr === This example demonstrates how the VNR functions are called on a single thread to generate the Voice to Noise Ratio (VNR) estimates for an input audio stream. From e2d9322aa00e946cdab97c3d0129f9c170285413 Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Thu, 25 Aug 2022 13:34:56 +0100 Subject: [PATCH 13/21] updating xscope_fileio, docs --- doc/getting_started.rst | 68 ++++++++++--------- .../bare-metal/pipeline_alt_arch/README.rst | 25 ------- .../shared_src/external_deps/fetch_deps.cmake | 2 +- 3 files changed, 38 insertions(+), 57 deletions(-) diff --git a/doc/getting_started.rst b/doc/getting_started.rst index 55605048c..2d35ae479 100644 --- a/doc/getting_started.rst +++ b/doc/getting_started.rst @@ -17,58 +17,64 @@ The following instructions show how to build the Voice Framework and run one of procedure is currently supported on MacOS and Linux only. #. Enter the clone of the Voice Framework and initialise submodules - .. code-block:: console +.. code-block:: console - cd fwk_voice - git submodule update --init --recursive + cd fwk_voice + git submodule update --init --recursive #. Create a build directory - .. code-block:: console +.. code-block:: console - mkdir build - cd build + mkdir build + cd build #. Run cmake to setup the build environment for the XMOS toolchain - .. tab:: Linux and Mac - .. code-block:: console +.. tab:: Linux and Mac - cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake + .. code-block:: console - .. tab:: Windows - .. code-block:: console + cmake -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake - cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake +.. tab:: Windows + + .. code-block:: console + + cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake #. Running make will then build the Voice Framework libraries and example applications - .. tab:: Linux and Mac - .. code-block:: console +.. tab:: Linux and Mac + + .. code-block:: console - make fwk_voice_example_bare_metal_aec_1_thread + make fwk_voice_example_bare_metal_aec_1_thread - .. tab:: Windows - ..code-block:: console +.. tab:: Windows - nmake fwk_voice_example_bare_metal_aec_1_thread + ..code-block:: console + + nmake fwk_voice_example_bare_metal_aec_1_thread #. Install dependencies - .. tab:: Linux Mac - .. code-block:: console +.. tab:: Linux and Mac + + .. code-block:: console + + pip install -e build/fwk_voice_deps/xscope_fileio/ - pip install -e build/fwk_voice_deps/xscope_fileio/ +.. tab:: Windows - .. tab:: Windows - .. code-block:: console + .. code-block:: console - pip install -e fwk_voice_deps/xscope_fileio - cd fwk_voice_deps/xscope_fileio/host - cmake -G "NMake Makefiles" . - nmake - cd ../../../ + pip install -e fwk_voice_deps/xscope_fileio + cd fwk_voice_deps/xscope_fileio/host + cmake -G "NMake Makefiles" . + nmake + cd ../../../ #. Run the single-threaded AEC example - .. code-block:: console +.. code-block:: console - cd ../examples/bare-metal/aec_1_thread - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_1_thread/bin/fwk_voice_example_bare_metal_aec_1_thread.xe --input ../shared_src/test_streams/aec_example_input.wav + cd ../examples/bare-metal/aec_1_thread + python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/aec_1_thread/bin/fwk_voice_example_bare_metal_aec_1_thread.xe --input ../shared_src/test_streams/aec_example_input.wav See :ref:`examples` for full details about the example applications. diff --git a/examples/bare-metal/pipeline_alt_arch/README.rst b/examples/bare-metal/pipeline_alt_arch/README.rst index 068fb5924..ff16d61a4 100644 --- a/examples/bare-metal/pipeline_alt_arch/README.rst +++ b/examples/bare-metal/pipeline_alt_arch/README.rst @@ -42,31 +42,6 @@ of reference input. Output is written to the output.wav file consisting of 2 cha Building ******** -After configuring the CMake project, the following commands can be used from the -`fwk_voice/examples/bare-metal/pipeline_alt_arch` directory to build and run this example application using the -XCORE-AI-EXPLORER board as a target: - -Running the single thread version. - -:: - - cd ../../../build - make fwk_voice_example_bare_metal_pipeline_alt_arch_st - cd ../examples/bare-metal/pipeline_alt_arch - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_alt_arch/bin/fwk_voice_example_bare_metal_pipeline_alt_arch_st.xe --input ../shared_src/test_streams/pipeline_example_input.wav - -Running the multi thread version. - -:: - - cd ../../../build - make fwk_voice_example_bare_metal_pipeline_alt_arch_mt - cd ../examples/bare-metal/pipeline_alt_arch - python ../shared_src/python/run_xcoreai.py ../../../build/examples/bare-metal/pipeline_alt_arch/bin/fwk_voice_example_bare_metal_pipeline_alt_arch_mt.xe --input ../shared_src/test_streams/pipeline_example_input.wav - -Building -******** - Run the following commands in the fwk_voice/build folder to build the multi-threaded firmware for the XCORE-AI-EXPLORER board as a target: .. tab:: Linux and Mac diff --git a/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake b/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake index c8a434239..63fb4d629 100644 --- a/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake +++ b/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake @@ -13,7 +13,7 @@ FetchContent_Populate(xs3_math) FetchContent_Declare( xscope_fileio GIT_REPOSITORY https://github.com/xmos/xscope_fileio.git - GIT_TAG 86add5101d73d98d4addea9aaeb238072e461b63 + GIT_TAG 2ad04971103f8ca4558d1d2fc903c2a6047b95ba GIT_SHALLOW FALSE SOURCE_DIR ${CMAKE_BINARY_DIR}/fwk_voice_deps/xscope_fileio ) From cffc62c4e57f9276f29e4c83a4d93c5848632b9c Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Thu, 25 Aug 2022 13:41:23 +0100 Subject: [PATCH 14/21] trying to fix doc format --- doc/getting_started.rst | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/doc/getting_started.rst b/doc/getting_started.rst index 2d35ae479..421269542 100644 --- a/doc/getting_started.rst +++ b/doc/getting_started.rst @@ -17,18 +17,21 @@ The following instructions show how to build the Voice Framework and run one of procedure is currently supported on MacOS and Linux only. #. Enter the clone of the Voice Framework and initialise submodules + .. code-block:: console cd fwk_voice git submodule update --init --recursive #. Create a build directory + .. code-block:: console mkdir build cd build #. Run cmake to setup the build environment for the XMOS toolchain + .. tab:: Linux and Mac .. code-block:: console @@ -42,6 +45,7 @@ procedure is currently supported on MacOS and Linux only. cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake #. Running make will then build the Voice Framework libraries and example applications + .. tab:: Linux and Mac .. code-block:: console @@ -55,6 +59,7 @@ procedure is currently supported on MacOS and Linux only. nmake fwk_voice_example_bare_metal_aec_1_thread #. Install dependencies + .. tab:: Linux and Mac .. code-block:: console @@ -72,6 +77,7 @@ procedure is currently supported on MacOS and Linux only. cd ../../../ #. Run the single-threaded AEC example + .. code-block:: console cd ../examples/bare-metal/aec_1_thread From cdca24bdc223a4428106c17286313f53185d0e9b Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Thu, 25 Aug 2022 13:45:54 +0100 Subject: [PATCH 15/21] trying to fix doc format2.0 --- doc/getting_started.rst | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/doc/getting_started.rst b/doc/getting_started.rst index 421269542..4a0b254ea 100644 --- a/doc/getting_started.rst +++ b/doc/getting_started.rst @@ -16,21 +16,21 @@ Building The following instructions show how to build the Voice Framework and run one of the example applications. This procedure is currently supported on MacOS and Linux only. -#. Enter the clone of the Voice Framework and initialise submodules +1. Enter the clone of the Voice Framework and initialise submodules .. code-block:: console cd fwk_voice git submodule update --init --recursive -#. Create a build directory +2. Create a build directory .. code-block:: console mkdir build cd build -#. Run cmake to setup the build environment for the XMOS toolchain +3. Run cmake to setup the build environment for the XMOS toolchain .. tab:: Linux and Mac @@ -44,7 +44,7 @@ procedure is currently supported on MacOS and Linux only. cmake -G "NMake Makefiles" -S.. -DCMAKE_TOOLCHAIN_FILE=../xmos_cmake_toolchain/xs3a.cmake -#. Running make will then build the Voice Framework libraries and example applications +4. Running make will then build the Voice Framework libraries and example applications .. tab:: Linux and Mac @@ -54,11 +54,11 @@ procedure is currently supported on MacOS and Linux only. .. tab:: Windows - ..code-block:: console + .. code-block:: nmake fwk_voice_example_bare_metal_aec_1_thread -#. Install dependencies +5. Install dependencies .. tab:: Linux and Mac @@ -76,7 +76,7 @@ procedure is currently supported on MacOS and Linux only. nmake cd ../../../ -#. Run the single-threaded AEC example +6. Run the single-threaded AEC example .. code-block:: console From c2eb1b3f7c92cd7b03d542ce256a5ad0274b48bc Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Thu, 25 Aug 2022 13:50:06 +0100 Subject: [PATCH 16/21] missing console --- doc/getting_started.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/getting_started.rst b/doc/getting_started.rst index 4a0b254ea..d0f4bb9a4 100644 --- a/doc/getting_started.rst +++ b/doc/getting_started.rst @@ -54,7 +54,7 @@ procedure is currently supported on MacOS and Linux only. .. tab:: Windows - .. code-block:: + .. code-block:: console nmake fwk_voice_example_bare_metal_aec_1_thread From 3236ebc6c7d5b047bf88f9132c902190dab3b3cf Mon Sep 17 00:00:00 2001 From: uvvpavel Date: Thu, 25 Aug 2022 15:23:45 +0100 Subject: [PATCH 17/21] removing custom view and sw_fwk_voice --- CMakeLists.txt | 2 +- Jenkinsfile | 2 +- test/CMakeLists.txt | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index 2209381e6..b63b08268 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -5,7 +5,7 @@ if("${CMAKE_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}") message(FATAL_ERROR "In-source build is not allowed! Please specify a build folder.\n\tex:cmake -B build") endif() -project(sw_fwk_voice) +project(fwk_voice) enable_language(CXX C ASM) diff --git a/Jenkinsfile b/Jenkinsfile index 50118d97a..e081fa4a9 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -14,7 +14,7 @@ pipeline { } environment { REPO = 'sw_avona' - VIEW = 'sw_avona_cleanup' + VIEW = getViewName(REPO) FULL_TEST = """${(params.FULL_TEST_OVERRIDE || env.BRANCH_NAME == 'develop' || env.BRANCH_NAME == 'main' diff --git a/test/CMakeLists.txt b/test/CMakeLists.txt index f3cfedeb2..9c03159f0 100644 --- a/test/CMakeLists.txt +++ b/test/CMakeLists.txt @@ -1,4 +1,4 @@ -set( TEST_ONLY_DEPS_ROOT ${CMAKE_SOURCE_DIR}/.. ) #test only dependencies present in the sandbox as part of sw_fwk_voice viewfile +set( TEST_ONLY_DEPS_ROOT ${CMAKE_SOURCE_DIR}/.. ) #test only dependencies present in the sandbox as part of fwk_voice viewfile set( SHARED_SRC_PATH ${CMAKE_CURRENT_SOURCE_DIR}/shared ) set( UNITY_PATH ${TEST_ONLY_DEPS_ROOT}/Unity ) set( CONFIG_XSCOPE_PATH ${CMAKE_SOURCE_DIR}/examples/bare-metal/shared_src/etc ) From 9ecf006cf79a5e4425cdc8379fd347fd23b175df Mon Sep 17 00:00:00 2001 From: shuchitak <38428600+shuchitak@users.noreply.github.com> Date: Thu, 15 Sep 2022 16:07:56 +0100 Subject: [PATCH 18/21] Update lib_tflite_micro hash in cmake FetchContent after force push to lib_tflite_micro --- examples/bare-metal/shared_src/external_deps/fetch_deps.cmake | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake b/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake index 63fb4d629..005f1981a 100644 --- a/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake +++ b/examples/bare-metal/shared_src/external_deps/fetch_deps.cmake @@ -31,7 +31,7 @@ FetchContent_Populate(lib_nn) FetchContent_Declare( tflite_micro GIT_REPOSITORY https://github.com/xmos/lib_tflite_micro.git - GIT_TAG c85e3be656bd4e250df7859892afede7aaca81d0 + GIT_TAG 9a754984d51cc088fed836d1a32c1419dffcb21a GIT_SHALLOW FALSE SOURCE_DIR ${CMAKE_BINARY_DIR}/fwk_voice_deps/lib_tflite_micro ) From a64af90aa8ee2623ce265a763d0abdedad0e9eca Mon Sep 17 00:00:00 2001 From: Shuchita Khare Date: Thu, 15 Sep 2022 19:47:52 +0100 Subject: [PATCH 19/21] Changelog update --- CHANGELOG.rst | 5 +++++ settings.json | 2 +- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.rst b/CHANGELOG.rst index 387098521..7266bf78e 100644 --- a/CHANGELOG.rst +++ b/CHANGELOG.rst @@ -1,6 +1,11 @@ XMOS Voice Framework Change Log =============================== +0.5.1 +----- + + * CHANGED: Git hash at which lib_tflite_micro is fetched during CMake FetchContent + 0.5.0 ----- diff --git a/settings.json b/settings.json index dd39be00e..d704ec5fe 100644 --- a/settings.json +++ b/settings.json @@ -1,5 +1,5 @@ { "title": "XCORE Voice Framework", "project": "fwk_voice", - "version": "0.5.0" + "version": "0.5.1" } From 75587883565db054b687090f0f5721fe3f934651 Mon Sep 17 00:00:00 2001 From: shuchitak <38428600+shuchitak@users.noreply.github.com> Date: Tue, 20 Sep 2022 09:53:05 +0100 Subject: [PATCH 20/21] Update CHANGELOG.rst --- CHANGELOG.rst | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.rst b/CHANGELOG.rst index 7266bf78e..6e7238dc7 100644 --- a/CHANGELOG.rst +++ b/CHANGELOG.rst @@ -3,7 +3,8 @@ XMOS Voice Framework Change Log 0.5.1 ----- - + + * ADDED: Windows documentation * CHANGED: Git hash at which lib_tflite_micro is fetched during CMake FetchContent 0.5.0 From 70b01c23aab29251b5310dcbfe88415a08fabec3 Mon Sep 17 00:00:00 2001 From: shuchitak <38428600+shuchitak@users.noreply.github.com> Date: Tue, 20 Sep 2022 10:19:15 +0100 Subject: [PATCH 21/21] Update CHANGELOG.rst --- CHANGELOG.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGELOG.rst b/CHANGELOG.rst index 6e7238dc7..4d7470523 100644 --- a/CHANGELOG.rst +++ b/CHANGELOG.rst @@ -5,6 +5,7 @@ XMOS Voice Framework Change Log ----- * ADDED: Windows documentation + * REMOVED: VAD module * CHANGED: Git hash at which lib_tflite_micro is fetched during CMake FetchContent 0.5.0

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