Odla_trt optimized and model test #499
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weimingzha0
requested changes
Aug 27, 2021
| @@ -210,6 +216,7 @@ struct _odla_context { | |||
| std::unordered_map<std::string, InputPtrInfo> input_ptrs; | |||
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| int run_batch_size = 0; | |||
| // CUdeviceptr cumemalloc_address; | |||
| // size_t bytes = | ||
| // GetTotalElements(real_shape) * GetElementSize(value->type.element_type); | ||
| // CUdeviceptr dev_ptr; | ||
| // CHECK(cuMemAlloc(&dev_ptr, bytes)); |
| // std::cerr << "odla_value_shape:" << real_shape << "\n"; | ||
| // size_t bytes = | ||
| // GetTotalElements(real_shape) * GetTotalElements(v->type.element_type); | ||
| // CHECK(cudaMalloc(&dev_ptr, bytes)); |
| @@ -189,6 +193,8 @@ struct _odla_context { | |||
| odla_computation comp = nullptr; | |||
| nvinfer1::ICudaEngine* engine = nullptr; | |||
| nvinfer1::IExecutionContext* ctx = nullptr; | |||
| void* temp_input_ptr = nullptr; | |||
| void* temp_output_ptr = nullptr; | |||
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what if there are multiple inputs/outputs?
| @@ -2,7 +2,7 @@ | |||
| export SRC_DIR=${PWD}/.. | |||
| export BUILD_DIR=$SRC_DIR/build | |||
| export MODELS_SRC=/models | |||
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| export MODELS_ROOT=/models | |||
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why add a new variable?
| @@ -12,17 +12,20 @@ fi | |||
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| if [[ $TEST_WITH_GPU -eq 1 ]]; then | |||
| echo "======== Testing with ODLA TensorRT ========" | |||
| for i in 1 2 4 8 16 32 64 | |||
| do | |||
| #!/bin/bash | ||
| # RUN: %s | ||
| model_name="alexnet" | ||
| docker_model_file="/models/vision/classification/$model_name" |
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this PR needs some cleanup |
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ODLA/platforms/tensorrt/odla_tensorrt.cc: put cudamalloc in front of first batch.
models/vision/invoke_halo.py: change the preprocess and execute code for batch-size > 1
models/vision/onnx2tensorrt.py, common.py, tensorrt_baseline_run_all.sh : native TensorRT test api
models/vision/classification/model_name/run_model_name.sh, run_model_name_tensorrt.sh : test shell for each model