Onnx-tensorrt: make -j8 error

[zhanghongruiupup]

cmake .. -DTENSORRT_ROOT=/home/fwq/compile_libs/TensorRT-5.1.5.0
info:
-- The CXX compiler identification is GNU 5.4.0
-- The C compiler identification is GNU 5.4.0
-- The CUDA compiler identification is NVIDIA 10.0.130
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CUDA compiler: /usr/local/cuda-10.0/bin/nvcc
-- Check for working CUDA compiler: /usr/local/cuda-10.0/bin/nvcc -- works
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Found Protobuf: /usr/local/lib/libprotobuf.so;-lpthread (found version "3.11.0")

-- Build type not set - defaulting to Release

-- * Summary *
-- CMake version : 3.15.3
-- CMake command : /home/fwq/compile_libs/cmake/cmake-3.15.3-Linux-x86_64/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ compiler version : 5.4.0
-- CXX flags : -Wall -Wno-deprecated-declarations -Wno-unused-function -Wnon-virtual-dtor
-- Build type : Release
-- Compile definitions : ONNX_NAMESPACE=onnx2trt_onnx
-- CMAKE_PREFIX_PATH :
-- CMAKE_INSTALL_PREFIX : /usr/local

-- CMAKE_MODULE_PATH :

-- ONNX version : 1.5.0
-- ONNX NAMESPACE : onnx2trt_onnx
-- ONNX_BUILD_TESTS : OFF
-- ONNX_BUILD_BENCHMARKS : OFF
-- ONNX_USE_LITE_PROTO : OFF
-- ONNXIFI_DUMMY_BACKEND : OFF

-- ONNXIFI_ENABLE_EXT : OFF

-- Protobuf compiler : /usr/local/bin/protoc
-- Protobuf includes : /usr/local/include
-- Protobuf libraries : /usr/local/lib/libprotobuf.so;-lpthread
-- BUILD_ONNX_PYTHON : OFF
-- GPU_ARCH is not defined. Generating CUDA code for default SMs.
-- Found CUDNN: /usr/local/cuda/include
-- Found TensorRT headers at /home/fwq/compile_libs/TensorRT-5.1.5.0/include
-- Find TensorRT libs at /home/fwq/compile_libs/TensorRT-5.1.5.0/lib/libnvinfer.so;/home/fwq/compile_libs/TensorRT-5.1.5.0/lib/libnvinfer_plugin.so
-- Found TENSORRT: /home/fwq/compile_libs/TensorRT-5.1.5.0/include
-- Configuring done
-- Generating done
-- Build files have been written to: /home/fwq/下载/onnx-tensorrt/build

[zhanghongruiupup]

make -j8
info:
Scanning dependencies of target gen_onnx_proto
[ 3%] Running gen_proto.py on onnx/onnx.in.proto
Processing /home/fwq/下载/onnx-tensorrt/third_party/onnx/onnx/onnx.in.proto
Writing /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx_onnx2trt_onnx-ml.proto
Writing /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx_onnx2trt_onnx-ml.proto3
Writing /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx-ml.pb.h
generating /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx_pb.py
[ 6%] Running C++ protocol buffer compiler on /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx_onnx2trt_onnx-ml.proto
[ 6%] Built target gen_onnx_proto
[ 10%] Running gen_proto.py on onnx/onnx-operators.in.proto
Processing /home/fwq/下载/onnx-tensorrt/third_party/onnx/onnx/onnx-operators.in.proto
Writing /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx-operators_onnx2trt_onnx-ml.proto
Writing /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx-operators_onnx2trt_onnx-ml.proto3
Writing /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx-operators-ml.pb.h
generating /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx_operators_pb.py
[ 13%] Running C++ protocol buffer compiler on /home/fwq/下载/onnx-tensorrt/build/third_party/onnx/onnx/onnx-operators_onnx2trt_onnx-ml.proto
Scanning dependencies of target onnx_proto
[ 16%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx_onnx2trt_onnx-ml.pb.cc.o
[ 20%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx-operators_onnx2trt_onnx-ml.pb.cc.o
[ 23%] Linking CXX static library libonnx_proto.a
[ 30%] Built target onnx_proto
Scanning dependencies of target nvonnxparser_static
Scanning dependencies of target nvonnxparser
[ 43%] Building CXX object CMakeFiles/nvonnxparser_static.dir/builtin_op_importers.cpp.o
[ 43%] Building CXX object CMakeFiles/nvonnxparser.dir/NvOnnxParser.cpp.o
[ 43%] Building CXX object CMakeFiles/nvonnxparser.dir/ModelImporter.cpp.o
[ 43%] Building CXX object CMakeFiles/nvonnxparser_static.dir/NvOnnxParser.cpp.o
[ 50%] Building CXX object CMakeFiles/nvonnxparser_static.dir/ModelImporter.cpp.o
[ 53%] Building CXX object CMakeFiles/nvonnxparser.dir/onnx2trt_utils.cpp.o
[ 53%] Building CXX object CMakeFiles/nvonnxparser_static.dir/onnx2trt_utils.cpp.o
[ 56%] Building CXX object CMakeFiles/nvonnxparser.dir/builtin_op_importers.cpp.o
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘nvinfer1::ITensor* onnx2trt::flattenTensorDynamic(onnx2trt::IImporterContext, nvinfer1::ITensor&, int)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:652:35: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
auto shape = ctx->network()->addShape(tensor)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘nvinfer1::ITensor* onnx2trt::getAxisLength(onnx2trt::IImporterContext, nvinfer1::ITensor, int, nvinfer1::Dims)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:797:43: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
auto& inpShape = ctx->network()->addShape(inpTensor)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::poolingHelper(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&, nvinfer1::PoolingType)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1050:61: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addPoolingNd’
nvinfer1::IPoolingLayer poolingLayer = ctx->network()->addPoolingNd(tensorPtr, type, kernel_size);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1051:19: error: ‘class nvinfer1::IPoolingLayer’ has no member named ‘setStrideNd’
poolingLayer->setStrideNd(strides);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘nvinfer1::ITensor onnx2trt::squeezeDynamicTensor(onnx2trt::IImporterContext, nvinfer1::ITensor&, const std::vector&)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1228:5: error: ‘IShapeLayer’ is not a member of ‘nvinfer1’
nvinfer1::IShapeLayer shape = ctx->network()->addShape(tensor);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1228:28: error: ‘shape’ was not declared in this scope
nvinfer1::IShapeLayer* shape = ctx->network()->addShape(tensor);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1228:52: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
nvinfer1::IShapeLayer* shape = ctx->network()->addShape(tensor);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘nvinfer1::ITensor* onnx2trt::unsqueezeDynamicTensor(onnx2trt::IImporterContext, nvinfer1::ITensor&, const std::vector&)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1329:39: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
tensorShape = ctx->network()->addShape(tensor)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importConv(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:396:27: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addConvolutionNd’
= ctx->network()->addConvolutionNd(tensor_ptr, noutput, kernel_size, kernel_weights, bias_weights);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:399:12: error: ‘class nvinfer1::IConvolutionLayer’ has no member named ‘setStrideNd’
layer->setStrideNd(strides);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:403:12: error: ‘class nvinfer1::IConvolutionLayer’ has no member named ‘setDilationNd’
layer->setDilationNd(dilations);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importConvTranspose(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:524:27: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addDeconvolutionNd’
= ctx->network()->addDeconvolutionNd(tensor_ptr, noutput, kernel_size, kernel_weights, bias_weights);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:527:19: error: ‘class nvinfer1::IDeconvolutionLayer’ has no member named ‘setStrideNd’
deconv_layer->setStrideNd(strides);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importConv(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:396:27: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addConvolutionNd’
= ctx->network()->addConvolutionNd(tensor_ptr, noutput, kernel_size, kernel_weights, bias_weights);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:399:12: error: ‘class nvinfer1::IConvolutionLayer’ has no member named ‘setStrideNd’
layer->setStrideNd(strides);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:403:12: error: ‘class nvinfer1::IConvolutionLayer’ has no member named ‘setDilationNd’
layer->setDilationNd(dilations);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘nvinfer1::ITensor onnx2trt::flattenTensorDynamic(onnx2trt::IImporterContext, nvinfer1::ITensor&, int)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:652:35: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
auto shape = ctx->network()->addShape(tensor)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importConvTranspose(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:524:27: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addDeconvolutionNd’
= ctx->network()->addDeconvolutionNd(tensor_ptr, noutput, kernel_size, kernel_weights, bias_weights);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:527:19: error: ‘class nvinfer1::IDeconvolutionLayer’ has no member named ‘setStrideNd’
deconv_layer->setStrideNd(strides);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘nvinfer1::ITensor* onnx2trt::getAxisLength(onnx2trt::IImporterContext, nvinfer1::ITensor, int, nvinfer1::Dims)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:797:43: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
auto& inpShape = ctx->network()->addShape(inpTensor)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importGlobalAveragePool(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:877:41: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addPoolingNd’
RETURN_FIRST_OUTPUT(ctx->network()->addPoolingNd(tensor, nvinfer1::PoolingType::kAVERAGE, kernelSize));
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:80:39: note: in definition of macro ‘RETURN_FIRST_OUTPUT’
nvinfer1::ILayer layer_ptr = layer; \
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::poolingHelper(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&, nvinfer1::PoolingType)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1050:61: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addPoolingNd’
nvinfer1::IPoolingLayer poolingLayer = ctx->network()->addPoolingNd(tensorPtr, type, kernel_size);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1051:19: error: ‘class nvinfer1::IPoolingLayer’ has no member named ‘setStrideNd’
poolingLayer->setStrideNd(strides);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importGlobalMaxPool(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:892:41: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addPoolingNd’
RETURN_FIRST_OUTPUT(ctx->network()->addPoolingNd(tensor, nvinfer1::PoolingType::kMAX, kernelSize));
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:80:39: note: in definition of macro ‘RETURN_FIRST_OUTPUT’
nvinfer1::ILayer* layer_ptr = layer; \
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importGlobalAveragePool(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:877:41: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addPoolingNd’
RETURN_FIRST_OUTPUT(ctx->network()->addPoolingNd(tensor, nvinfer1::PoolingType::kAVERAGE, kernelSize));
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:80:39: note: in definition of macro ‘RETURN_FIRST_OUTPUT’
nvinfer1::ILayer layer_ptr = layer; \
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importGlobalMaxPool(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:892:41: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addPoolingNd’
RETURN_FIRST_OUTPUT(ctx->network()->addPoolingNd(tensor, nvinfer1::PoolingType::kMAX, kernelSize));
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:80:39: note: in definition of macro ‘RETURN_FIRST_OUTPUT’
nvinfer1::ILayer layer_ptr = layer; \
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘nvinfer1::ITensor* onnx2trt::squeezeDynamicTensor(onnx2trt::IImporterContext, nvinfer1::ITensor&, const std::vector&)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1228:5: error: ‘IShapeLayer’ is not a member of ‘nvinfer1’
nvinfer1::IShapeLayer shape = ctx->network()->addShape(tensor);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1228:28: error: ‘shape’ was not declared in this scope
nvinfer1::IShapeLayer* shape = ctx->network()->addShape(tensor);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1228:52: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
nvinfer1::IShapeLayer* shape = ctx->network()->addShape(tensor);
^
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘nvinfer1::ITensor* onnx2trt::unsqueezeDynamicTensor(onnx2trt::IImporterContext, nvinfer1::ITensor&, const std::vector&)’:
/home/fwq/下载/onnx-tensorrt/onnx2trt_utils.cpp:1329:39: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
tensorShape = ctx->network()->addShape(tensor)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importPRelu(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1375:41: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addParametricReLU’
RETURN_FIRST_OUTPUT(ctx->network()->addParametricReLU(input, *slopes));
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:80:39: note: in definition of macro ‘RETURN_FIRST_OUTPUT’
nvinfer1::ILayer layer_ptr = layer; \
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importPRelu(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1375:41: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addParametricReLU’
RETURN_FIRST_OUTPUT(ctx->network()->addParametricReLU(input, slopes));
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:80:39: note: in definition of macro ‘RETURN_FIRST_OUTPUT’
nvinfer1::ILayer layer_ptr = layer; \
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importShape(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1536:41: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
RETURN_FIRST_OUTPUT(ctx->network()->addShape(input));
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:80:39: note: in definition of macro ‘RETURN_FIRST_OUTPUT’
nvinfer1::ILayer layer_ptr = layer; \
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importShape(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1536:41: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
RETURN_FIRST_OUTPUT(ctx->network()->addShape(input));
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:80:39: note: in definition of macro ‘RETURN_FIRST_OUTPUT’
nvinfer1::ILayer layer_ptr = layer; \
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::dynamicInputSliceHelper(onnx2trt::IImporterContext, nvinfer1::ITensor&, const std::unordered_map >&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1667:83: error: ‘kFLOOR_DIV’ is not a member of ‘nvinfer1::ElementWiseOperation’
auto size = ctx->network()->addElementWise(diff, *strideIndices.back(), nvinfer1::ElementWiseOperation::kFLOOR_DIV)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::dynamicInputSliceHelper(onnx2trt::IImporterContext, nvinfer1::ITensor&, const std::unordered_map >&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1667:83: error: ‘kFLOOR_DIV’ is not a member of ‘nvinfer1::ElementWiseOperation’
auto* size = ctx->network()->addElementWise(diff, *strideIndices.back(), nvinfer1::ElementWiseOperation::kFLOOR_DIV)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importSoftmax(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1752:35: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
auto* shape = ctx->network()->addShape(tensor_ptr)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importSplit(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1846:48: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
nvinfer1::ITensor* shape = ctx->network()->addShape(tensorPtr)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importSoftmax(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1752:35: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
auto* shape = ctx->network()->addShape(tensor_ptr)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importSplit(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:1846:48: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addShape’
nvinfer1::ITensor* shape = ctx->network()->addShape(tensorPtr)->getOutput(0);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importResize(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2060:5: error: ‘IResizeLayer’ is not a member of ‘nvinfer1’
nvinfer1::IResizeLayer* layer = ctx->network()->addResize(input);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2060:29: error: ‘layer’ was not declared in this scope
nvinfer1::IResizeLayer* layer = ctx->network()->addResize(input);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2060:53: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addResize’
nvinfer1::IResizeLayer* layer = ctx->network()->addResize(input);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importResize(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2060:5: error: ‘IResizeLayer’ is not a member of ‘nvinfer1’
nvinfer1::IResizeLayer layer = ctx->network()->addResize(input);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2060:29: error: ‘layer’ was not declared in this scope
nvinfer1::IResizeLayer* layer = ctx->network()->addResize(input);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2060:53: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addResize’
nvinfer1::IResizeLayer* layer = ctx->network()->addResize(input);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2081:5: error: ‘ResizeMode’ is not a member of ‘nvinfer1’
nvinfer1::ResizeMode resizeMode = nvinfer1::ResizeMode::kNEAREST;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2086:9: error: ‘resizeMode’ was not declared in this scope
resizeMode = nvinfer1::ResizeMode::kLINEAR;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2086:32: error: ‘nvinfer1::ResizeMode’ has not been declared
resizeMode = nvinfer1::ResizeMode::kLINEAR;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2088:26: error: ‘resizeMode’ was not declared in this scope
layer->setResizeMode(resizeMode);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2081:5: error: ‘ResizeMode’ is not a member of ‘nvinfer1’
nvinfer1::ResizeMode resizeMode = nvinfer1::ResizeMode::kNEAREST;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2086:9: error: ‘resizeMode’ was not declared in this scope
resizeMode = nvinfer1::ResizeMode::kLINEAR;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2086:32: error: ‘nvinfer1::ResizeMode’ has not been declared
resizeMode = nvinfer1::ResizeMode::kLINEAR;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2088:26: error: ‘resizeMode’ was not declared in this scope
layer->setResizeMode(resizeMode);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importUpsample(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2144:5: error: ‘ResizeMode’ is not a member of ‘nvinfer1’
nvinfer1::ResizeMode resizeMode = nvinfer1::ResizeMode::kNEAREST;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2149:9: error: ‘resizeMode’ was not declared in this scope
resizeMode = nvinfer1::ResizeMode::kLINEAR;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2149:32: error: ‘nvinfer1::ResizeMode’ has not been declared
resizeMode = nvinfer1::ResizeMode::kLINEAR;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2152:5: error: ‘IResizeLayer’ is not a member of ‘nvinfer1’
nvinfer1::IResizeLayer const layer = ctx->network()->addResize(tensor);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2152:29: error: expected primary-expression before ‘const’
nvinfer1::IResizeLayer* const layer = ctx->network()->addResize(tensor);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2153:5: error: ‘layer’ was not declared in this scope
layer->setScales(scale_factors.data(), nbDims);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2154:26: error: ‘resizeMode’ was not declared in this scope
layer->setResizeMode(resizeMode);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importUpsample(onnx2trt::IImporterContext, const onnx2trt_onnx::NodeProto&, std::vector&)’:
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2144:5: error: ‘ResizeMode’ is not a member of ‘nvinfer1’
nvinfer1::ResizeMode resizeMode = nvinfer1::ResizeMode::kNEAREST;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2149:9: error: ‘resizeMode’ was not declared in this scope
resizeMode = nvinfer1::ResizeMode::kLINEAR;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2149:32: error: ‘nvinfer1::ResizeMode’ has not been declared
resizeMode = nvinfer1::ResizeMode::kLINEAR;
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2152:5: error: ‘IResizeLayer’ is not a member of ‘nvinfer1’
nvinfer1::IResizeLayer const layer = ctx->network()->addResize(tensor);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2152:29: error: expected primary-expression before ‘const’
nvinfer1::IResizeLayer* const layer = ctx->network()->addResize(tensor);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2153:5: error: ‘layer’ was not declared in this scope
layer->setScales(scale_factors.data(), nbDims);
^
/home/fwq/下载/onnx-tensorrt/builtin_op_importers.cpp:2154:26: error: ‘resizeMode’ was not declared in this scope
layer->setResizeMode(resizeMode);
^
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp: In member function ‘virtual bool onnx2trt::ModelImporter::parseWithWeightDescriptors(const void, size_t, uint32_t, const onnxTensorDescriptorV1)’:
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp:437:24: error: ‘class nvinfer1::ITensor’ has no member named ‘isShapeTensor’
if (inputTensor->isShapeTensor())
^
In file included from /home/fwq/下载/onnx-tensorrt/onnx2trt.hpp:28:0,
from /home/fwq/下载/onnx-tensorrt/ImporterContext.hpp:25,
from /home/fwq/下载/onnx-tensorrt/ModelImporter.hpp:27,
from /home/fwq/下载/onnx-tensorrt/ModelImporter.cpp:23:
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp: In member function ‘virtual onnx2trt::Status onnx2trt::ModelImporter::importModel(const onnx2trt_onnx::ModelProto&, uint32_t, const onnxTensorDescriptorV1)’:
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp:461:36: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘hasImplicitBatchDimension’
ASSERT(!_importer_ctx.network()->hasImplicitBatchDimension() &&
^
/home/fwq/下载/onnx-tensorrt/Status.hpp:34:11: note: in definition of macro ‘ASSERT’
if( !(condition) ) { \
^
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp:578:57: error: ‘class nvinfer1::ITensor’ has no member named ‘isShapeTensor’
if (shapeTensors.count(tensorName) && !tensor->isShapeTensor())
^
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp: In member function ‘virtual bool onnx2trt::ModelImporter::parseWithWeightDescriptors(const void, size_t, uint32_t, const onnxTensorDescriptorV1)’:
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp:437:24: error: ‘class nvinfer1::ITensor’ has no member named ‘isShapeTensor’
if (inputTensor->isShapeTensor())
^
In file included from /home/fwq/下载/onnx-tensorrt/onnx2trt.hpp:28:0,
from /home/fwq/下载/onnx-tensorrt/ImporterContext.hpp:25,
from /home/fwq/下载/onnx-tensorrt/ModelImporter.hpp:27,
from /home/fwq/下载/onnx-tensorrt/ModelImporter.cpp:23:
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp: In member function ‘virtual onnx2trt::Status onnx2trt::ModelImporter::importModel(const onnx2trt_onnx::ModelProto&, uint32_t, const onnxTensorDescriptorV1)’:
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp:461:36: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘hasImplicitBatchDimension’
ASSERT(!_importer_ctx.network()->hasImplicitBatchDimension() &&
^
/home/fwq/下载/onnx-tensorrt/Status.hpp:34:11: note: in definition of macro ‘ASSERT’
if( !(condition) ) { \
^
/home/fwq/下载/onnx-tensorrt/ModelImporter.cpp:578:57: error: ‘class nvinfer1::ITensor’ has no member named ‘isShapeTensor’
if (shapeTensors.count(tensorName) && !tensor->isShapeTensor())
^
CMakeFiles/nvonnxparser.dir/build.make:101: recipe for target 'CMakeFiles/nvonnxparser.dir/onnx2trt_utils.cpp.o' failed
make[2]: * [CMakeFiles/nvonnxparser.dir/onnx2trt_utils.cpp.o] Error 1
make[2]: 正在等待未完成的任务....
[ 60%] Building CXX object CMakeFiles/nvonnxparser_static.dir/ShapedWeights.cpp.o
CMakeFiles/nvonnxparser_static.dir/build.make:101: recipe for target 'CMakeFiles/nvonnxparser_static.dir/onnx2trt_utils.cpp.o' failed
make[2]: [CMakeFiles/nvonnxparser_static.dir/onnx2trt_utils.cpp.o] Error 1
make[2]: 正在等待未完成的任务....
CMakeFiles/nvonnxparser_static.dir/build.make:88: recipe for target 'CMakeFiles/nvonnxparser_static.dir/builtin_op_importers.cpp.o' failed
make[2]: [CMakeFiles/nvonnxparser_static.dir/builtin_op_importers.cpp.o] Error 1
CMakeFiles/nvonnxparser.dir/build.make:88: recipe for target 'CMakeFiles/nvonnxparser.dir/builtin_op_importers.cpp.o' failed
make[2]: [CMakeFiles/nvonnxparser.dir/builtin_op_importers.cpp.o] Error 1
CMakeFiles/nvonnxparser_static.dir/build.make:75: recipe for target 'CMakeFiles/nvonnxparser_static.dir/ModelImporter.cpp.o' failed
make[2]: [CMakeFiles/nvonnxparser_static.dir/ModelImporter.cpp.o] Error 1
CMakeFiles/nvonnxparser.dir/build.make:75: recipe for target 'CMakeFiles/nvonnxparser.dir/ModelImporter.cpp.o' failed
make[2]: [CMakeFiles/nvonnxparser.dir/ModelImporter.cpp.o] Error 1
CMakeFiles/Makefile2:112: recipe for target 'CMakeFiles/nvonnxparser.dir/all' failed
make[1]: [CMakeFiles/nvonnxparser.dir/all] Error 2
make[1]: 正在等待未完成的任务....
CMakeFiles/Makefile2:85: recipe for target 'CMakeFiles/nvonnxparser_static.dir/all' failed
make[1]: [CMakeFiles/nvonnxparser_static.dir/all] Error 2
Makefile:151: recipe for target 'all' failed
make: * [all] Error 2

[zhanghongruiupup]

hope your reply!thanks!

[chiehpower]

Same problem here!
I can pass the "cmake" step. However, I cannot pass the "make" step.
It outputted a lot of messages.
I typed this command.
make -j8
Then I got this error message below.

/home/chieh/github/onnx-tensorrt/builtin_op_importers.cpp:3125:11: error: ‘class nvinfer1::ISliceLayer’ has no member named ‘setMode’; did you mean ‘setSize’?
     tile->setMode(nvinfer1::SliceMode::kWRAP);
           ^~~~~~~
           setSize
/home/chieh/github/onnx-tensorrt/builtin_op_importers.cpp:3125:29: error: ‘nvinfer1::SliceMode’ has not been declared
     tile->setMode(nvinfer1::SliceMode::kWRAP);
                             ^~~~~~~~~
/home/chieh/github/onnx-tensorrt/builtin_op_importers.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::{anonymous}::importWhere(onnx2trt::IImporterContext*, const onnx2trt_onnx::NodeProto&, std::vector<onnx2trt::TensorOrWeights>&)’:
/home/chieh/github/onnx-tensorrt/builtin_op_importers.cpp:3308:35: error: ‘class nvinfer1::INetworkDefinition’ has no member named ‘addSelect’; did you mean ‘addSlice’?
     auto* layer = ctx->network()->addSelect(*condition, *x, *y);
                                   ^~~~~~~~~
                                   addSlice
In file included from /home/chieh/github/onnx-tensorrt/onnx2trt_utils.hpp:27:0,
                 from /home/chieh/github/onnx-tensorrt/onnx2trt_utils.cpp:23:
/home/chieh/github/onnx-tensorrt/trt_utils.hpp: In function ‘int onnx2trt::getDtypeSize(nvinfer1::DataType)’:
/home/chieh/github/onnx-tensorrt/trt_utils.hpp:47:30: error: ‘kBOOL’ is not a member of ‘nvinfer1::DataType’
     case nvinfer1::DataType::kBOOL:
                              ^~~~~
/home/chieh/github/onnx-tensorrt/trt_utils.hpp: In function ‘onnx2trt_onnx::TensorProto_DataType onnx2trt::trtDataTypeToONNX(nvinfer1::DataType)’:
/home/chieh/github/onnx-tensorrt/trt_utils.hpp:205:30: error: ‘kBOOL’ is not a member of ‘nvinfer1::DataType’
     case nvinfer1::DataType::kBOOL: return ::ONNX_NAMESPACE::TensorProto::BOOL;
                              ^~~~~
In file included from /home/chieh/github/onnx-tensorrt/onnx2trt_utils.cpp:23:0:
/home/chieh/github/onnx-tensorrt/onnx2trt_utils.hpp: In function ‘std::ostream& nvinfer1::operator<<(std::ostream&, const nvinfer1::DataType&)’:
/home/chieh/github/onnx-tensorrt/onnx2trt_utils.hpp:88:30: error: ‘kBOOL’ is not a member of ‘nvinfer1::DataType’
     case nvinfer1::DataType::kBOOL: return stream << "bool";
                              ^~~~~
In file included from /home/chieh/github/onnx-tensorrt/onnx2trt_utils.cpp:25:0:
/home/chieh/github/onnx-tensorrt/ShapeTensor.hpp: At global scope:
/home/chieh/github/onnx-tensorrt/ShapeTensor.hpp:153:11: error: ‘IFillLayer’ in namespace ‘nvinfer1’ does not name a type
 nvinfer1::IFillLayer* addFill(IImporterContext* ctx, const ShapeTensor& shape, nvinfer1::FillOperation op);
           ^~~~~~~~~~
In file included from /home/chieh/github/onnx-tensorrt/onnx2trt_utils.hpp:26:0,
                 from /home/chieh/github/onnx-tensorrt/onnx2trt_utils.cpp:23:
/home/chieh/github/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘onnx2trt::NodeImportResult onnx2trt::activationHelper(onnx2trt::IImporterContext*, const onnx2trt_onnx::NodeProto&, std::vector<onnx2trt::TensorOrWeights>&, nvinfer1::ActivationType, float*, float*)’:
/home/chieh/github/onnx-tensorrt/onnx2trt_utils.cpp:35:100: error: ‘kBOOL’ is not a member of ‘nvinfer1::DataType’
     ASSERT(input.getType() != nvinfer1::DataType::kINT32 && input.getType() != nvinfer1::DataType::kBOOL
                                                                                                    ^
/home/chieh/github/onnx-tensorrt/Status.hpp:42:15: note: in definition of macro ‘ASSERT’
         if (!(condition))                                                                                              \
               ^~~~~~~~~
/home/chieh/github/onnx-tensorrt/onnx2trt_utils.cpp: In function ‘bool onnx2trt::convertDtype(int32_t, nvinfer1::DataType*)’:
/home/chieh/github/onnx-tensorrt/onnx2trt_utils.cpp:198:80: error: ‘kBOOL’ is not a member of ‘nvinfer1::DataType’
     case ::ONNX_NAMESPACE::TensorProto::BOOL: *trt_dtype = nvinfer1::DataType::kBOOL; break;
                                                                                ^~~~~
CMakeFiles/nvonnxparser.dir/build.make:75: recipe for target 'CMakeFiles/nvonnxparser.dir/ModelImporter.cpp.o' failed
make[2]: *** [CMakeFiles/nvonnxparser.dir/ModelImporter.cpp.o] Error 1
CMakeFiles/nvonnxparser.dir/build.make:88: recipe for target 'CMakeFiles/nvonnxparser.dir/builtin_op_importers.cpp.o' failed
make[2]: *** [CMakeFiles/nvonnxparser.dir/builtin_op_importers.cpp.o] Error 1
CMakeFiles/nvonnxparser.dir/build.make:101: recipe for target 'CMakeFiles/nvonnxparser.dir/onnx2trt_utils.cpp.o' failed
make[2]: *** [CMakeFiles/nvonnxparser.dir/onnx2trt_utils.cpp.o] Error 1
CMakeFiles/Makefile2:137: recipe for target 'CMakeFiles/nvonnxparser.dir/all' failed
make[1]: *** [CMakeFiles/nvonnxparser.dir/all] Error 2
Makefile:151: recipe for target 'all' failed
make: *** [all] Error 2

[suhyung-code42]

delete all files in build directory. and do cmake again and make

[chiehpower]

delete all files in build directory. and do cmake again and make

Hi @suhyung-code42,
Thanks for your suggestions.
I remove it and re-cmake and re-make again.
It works well! Not sure what kind of reason to make it work.

However, when I did python3 onnx_backend_test.py -v this testing, it got wrong.
The error message is quite long, so I show a part of output information below.

[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_keepdims_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_keepdims_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Reduce]
(3, 1, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_keepdims_random_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_keepdims_random_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Reduce]
(3, 1, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_negative_axes_keepdims_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_negative_axes_keepdims_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Reduce]
(3, 1, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_negative_axes_keepdims_random_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_negative_axes_keepdims_random_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Reduce]
(3, 1, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_square_default_axes_keepdims_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_square_default_axes_keepdims_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [ElementWise]
(Unnamed Layer* 1) [Reduce]
(1, 1, 1)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_square_default_axes_keepdims_random_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_square_default_axes_keepdims_random_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [ElementWise]
(Unnamed Layer* 1) [Reduce]
(1, 1, 1)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_square_do_not_keepdims_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_square_do_not_keepdims_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [ElementWise]
(Unnamed Layer* 1) [Reduce]
(3, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_square_do_not_keepdims_random_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_square_do_not_keepdims_random_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [ElementWise]
(Unnamed Layer* 1) [Reduce]
(3, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_square_keepdims_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_square_keepdims_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [ElementWise]
(Unnamed Layer* 1) [Reduce]
(3, 1, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_square_keepdims_random_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_square_keepdims_random_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [ElementWise]
(Unnamed Layer* 1) [Reduce]
(3, 1, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_square_negative_axes_keepdims_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_square_negative_axes_keepdims_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [ElementWise]
(Unnamed Layer* 1) [Reduce]
(3, 1, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reduce_sum_square_negative_axes_keepdims_random_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_reduce_sum_square_negative_axes_keepdims_random_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [ElementWise]
(Unnamed Layer* 1) [Reduce]
(3, 1, 2)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reflect_pad_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reflect_pad_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_relu_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_relu_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Activation]
(3, 4, 5)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_reshape_extended_dims_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_extended_dims_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_negative_dim_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_negative_dim_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_negative_extended_dims_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_negative_extended_dims_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_one_dim_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_one_dim_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_reduced_dims_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_reduced_dims_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_reordered_all_dims_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_reordered_all_dims_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_reordered_last_dims_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_reordered_last_dims_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_zero_and_negative_dim_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_zero_and_negative_dim_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_zero_dim_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reshape_zero_dim_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_cubic_A_n0p5_exclude_outside_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_cubic_A_n0p5_exclude_outside_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_cubic_align_corners_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_cubic_align_corners_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_cubic_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_cubic_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_linear_align_corners_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_linear_align_corners_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_linear_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_linear_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_nearest_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_scales_nearest_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_sizes_cubic_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_sizes_cubic_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_sizes_linear_pytorch_half_pixel_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_sizes_linear_pytorch_half_pixel_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_sizes_nearest_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_sizes_nearest_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_sizes_nearest_tf_half_pixel_for_nn_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_downsample_sizes_nearest_tf_half_pixel_for_nn_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_tf_crop_and_resize_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_tf_crop_and_resize_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_cubic_A_n0p5_exclude_outside_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_cubic_A_n0p5_exclude_outside_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_cubic_align_corners_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_cubic_align_corners_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_cubic_asymmetric_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_cubic_asymmetric_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_cubic_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_cubic_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_linear_align_corners_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_linear_align_corners_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_linear_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_linear_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_nearest_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_scales_nearest_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_cubic_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_cubic_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_nearest_ceil_half_pixel_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_nearest_ceil_half_pixel_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_nearest_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_nearest_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_nearest_floor_align_corners_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_nearest_floor_align_corners_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reversesequence_batch_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reversesequence_batch_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reversesequence_time_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_reversesequence_time_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_rnn_seq_length_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_rnn_seq_length_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_roialign_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_roialign_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_round_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_round_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scan9_sum_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scan9_sum_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scan_sum_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scan_sum_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_elements_with_axis_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_elements_with_axis_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_elements_with_negative_indices_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_elements_with_negative_indices_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_elements_without_axis_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_elements_without_axis_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_with_axis_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_with_axis_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_without_axis_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatter_without_axis_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatternd_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_scatternd_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_selu_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_selu_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Activation]
(3, 4, 5)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_selu_default_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_selu_default_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Activation]
(3, 4, 5)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_selu_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_selu_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Activation]
(3,)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_shape_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_shape_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Shape]
(3,)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_shape_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_shape_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Shape]
(2,)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_shrink_hard_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_shrink_hard_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_shrink_soft_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_shrink_soft_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_sigmoid_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_sigmoid_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Activation]
(3, 4, 5)
[TensorRT] WARNING: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
ok
test_sigmoid_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_sigmoid_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Activation]
(3,)
[TensorRT] ERROR: ../rtSafe/safeRuntime.cpp (25) - Cuda Error in allocate: 2 (out of memory)
[TensorRT] WARNING: GPU memory allocation error during getBestTactic: (Unnamed Layer* 0) [Activation]
[TensorRT] ERROR: Internal error: could not find any implementation for node (Unnamed Layer* 0) [Activation], try increasing the workspace size with IBuilder::setMaxWorkspaceSize()
[TensorRT] ERROR: ../builder/tacticOptimizer.cpp (1523) - OutOfMemory Error in computeCosts: 0
ERROR
test_sign_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_sign_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_simple_rnn_defaults_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_simple_rnn_defaults_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_simple_rnn_with_initial_bias_cpu (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_simple_rnn_with_initial_bias_cuda (__main__.OnnxBackendNodeModelTest) ... skipped 'no matched include pattern'
test_sin_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_sin_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Unary]
(3, 4, 5)
[TensorRT] ERROR: ../rtSafe/safeRuntime.cpp (25) - Cuda Error in allocate: 2 (out of memory)
[TensorRT] WARNING: GPU memory allocation error during getBestTactic: (Unnamed Layer* 0) [Unary]
[TensorRT] ERROR: Internal error: could not find any implementation for node (Unnamed Layer* 0) [Unary], try increasing the workspace size with IBuilder::setMaxWorkspaceSize()
[TensorRT] ERROR: ../builder/tacticOptimizer.cpp (1523) - OutOfMemory Error in computeCosts: 0
ERROR
test_sin_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_sin_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Unary]
(3,)
[TensorRT] ERROR: ../rtSafe/safeRuntime.cpp (25) - Cuda Error in allocate: 2 (out of memory)
[TensorRT] WARNING: GPU memory allocation error during getBestTactic: (Unnamed Layer* 0) [Unary]
[TensorRT] ERROR: Internal error: could not find any implementation for node (Unnamed Layer* 0) [Unary], try increasing the workspace size with IBuilder::setMaxWorkspaceSize()
[TensorRT] ERROR: ../builder/tacticOptimizer.cpp (1523) - OutOfMemory Error in computeCosts: 0
ERROR
test_sinh_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_sinh_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Unary]
(3, 4, 5)
[TensorRT] ERROR: ../rtSafe/safeRuntime.cpp (25) - Cuda Error in allocate: 2 (out of memory)
[TensorRT] WARNING: GPU memory allocation error during getBestTactic: (Unnamed Layer* 0) [Unary]
[TensorRT] ERROR: Internal error: could not find any implementation for node (Unnamed Layer* 0) [Unary], try increasing the workspace size with IBuilder::setMaxWorkspaceSize()
[TensorRT] ERROR: ../builder/tacticOptimizer.cpp (1523) - OutOfMemory Error in computeCosts: 0
ERROR
test_sinh_example_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_sinh_example_cuda (__main__.OnnxBackendNodeModelTest) ... (Unnamed Layer* 0) [Unary]
(3,)
[TensorRT] ERROR: ../rtSafe/safeRuntime.cpp (25) - Cuda Error in allocate: 2 (out of memory)
[TensorRT] WARNING: GPU memory allocation error during getBestTactic: (Unnamed Layer* 0) [Unary]
[TensorRT] ERROR: Internal error: could not find any implementation for node (Unnamed Layer* 0) [Unary], try increasing the workspace size with IBuilder::setMaxWorkspaceSize()
[TensorRT] ERROR: ../builder/tacticOptimizer.cpp (1523) - OutOfMemory Error in computeCosts: 0
ERROR
test_size_cpu (__main__.OnnxBackendNodeModelTest) ... skipped "Backend doesn't support device CPU"
test_size_cuda (__main__.OnnxBackendNodeModelTest) ... [TensorRT] WARNING: onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
(Unnamed Layer* 0) [Constant]
()
[TensorRT] WARNING: Unused Input: x
[TensorRT] ERROR: ../rtSafe/safeRuntime.cpp (25) - Cuda Error in allocate: 2 (out of memory)
[TensorRT] WARNING: GPU memory allocation error during timeReformat.
python3: ../builder/costTensor.cpp:95: nvinfer1::builder::ChoiceTuple nvinfer1::builder::CostTensor::indexOfMin() const: Assertion `!empty()' failed.
[1]    11381 abort (core dumped)  python3 onnx_backend_test.py -v

Is there any idea about this problem?
Is it meaning my installation wrong? How can I check my installation which is complete correct? Thanks!

[kevinch-nv]

@chiehpower are you still having the same error trace when running with the latest TensorRT version?

[chiehpower]

@chiehpower are you still having the same error trace when running with the latest TensorRT version?

Hi @kevinch-nv ,

Thanks for your concern!
Because I left that issue for a long time, I thought I already resolved it!
Thanks again!

[kevinch-nv]

Thanks, closing this issue.