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Fix Pad's quantization #17807

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merged 1 commit into from
Oct 9, 2023

Fix Pad's quantization and add a test

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Merged

Fix Pad's quantization #17807

Fix Pad's quantization and add a test
83a55d4
Select commit
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Azure Pipelines / Linux GPU CI Pipeline succeeded Oct 6, 2023 in 1h 13m 7s

Build #20231006.18 had test failures

0 errors / 1 warnings

Details

Tests

  • Failed: 2 (0.01%)
  • Passed: 18,926 (99.80%)
  • Other: 36 (0.19%)
  • Total: 18,964

Annotations

Check failure on line 1 in Run/cuda__models_zoo_opset7_ResNet101_DUC_HDC_ResNet101DUC7

See this annotation in the file changed.

@azure-pipelines azure-pipelines / Linux GPU CI Pipeline

Run/cuda__models_zoo_opset7_ResNet101_DUC_HDC_ResNet101DUC7 

/onnxruntime_src/onnxruntime/test/providers/cpu/model_tests.cc:800
Failed
Non-zero status code returned while running Conv node. Name:'conv2_3_1x1_increase' Status Message: /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:121 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:114 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] CUDA failure 2: out of memory ; GPU=0 ; hostname=2021fa00773e ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/cuda_allocator.cc ; line=47 ; expr=cudaMalloc((void**)&p, size);
Raw output 
/onnxruntime_src/onnxruntime/test/providers/cpu/model_tests.cc:800
Failed
Non-zero status code returned while running Conv node. Name:'conv2_3_1x1_increase' Status Message: /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:121 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:114 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] CUDA failure 2: out of memory ; GPU=0 ; hostname=2021fa00773e ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/cuda_allocator.cc ; line=47 ; expr=cudaMalloc((void**)&p, size);

Check failure on line 1 in Run/cuda__models_opset7_keras_lotus_resnet3D_keras_lotus_resnet3D

See this annotation in the file changed.

@azure-pipelines azure-pipelines / Linux GPU CI Pipeline

Run/cuda__models_opset7_keras_lotus_resnet3D_keras_lotus_resnet3D 

/onnxruntime_src/onnxruntime/test/providers/cpu/model_tests.cc:800
Failed
Non-zero status code returned while running FusedConv node. Name:'Convolution14479' Status Message: /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:121 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:114 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] CUDA failure 2: out of memory ; GPU=0 ; hostname=2021fa00773e ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/cuda_allocator.cc ; line=47 ; expr=cudaMalloc((void**)&p, size);
Raw output 
/onnxruntime_src/onnxruntime/test/providers/cpu/model_tests.cc:800
Failed
Non-zero status code returned while running FusedConv node. Name:'Convolution14479' Status Message: /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:121 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:114 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] CUDA failure 2: out of memory ; GPU=0 ; hostname=2021fa00773e ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/cuda_allocator.cc ; line=47 ; expr=cudaMalloc((void**)&p, size);
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