Skip to content

Instantly share code, notes, and snippets.

@xsacha

xsacha/gist:51646e9921d2b45cb59e84f90b4fbe70

Created April 24, 2019 23:31
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save xsacha/51646e9921d2b45cb59e84f90b4fbe70 to your computer and use it in GitHub Desktop.
Save xsacha/51646e9921d2b45cb59e84f90b4fbe70 to your computer and use it in GitHub Desktop.
Download ZIP
CUDNN error
Raw
gistfile1.txt
I! CuDNN (v7500) function cudnnCreate() called:
i! Time: 2019-04-18T16:08:04.432068 (0d+0h+0m+11s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.577952 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,3,2160,3840];
i! strideA: type=int; val=[24883200,8294400,3840,1];
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[24,3,7,7];
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,540,960];
i! strideA: type=int; val=[12441600,518400,960,1];
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[3,3];
i! strideA: type=int; val=[4,4];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,3,2160,3840];
i! strideA: type=int; val=[24883200,8294400,3840,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,3,7,7];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[3,3];
i! strideA: type=int; val=[4,4];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,540,960];
i! strideA: type=int; val=[12441600,518400,960,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,3,2160,3840];
i! strideA: type=int; val=[24883200,8294400,3840,1];
i! xData: location=dev; addr=000000072DA00000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,3,7,7];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702000400;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[3,3];
i! strideA: type=int; val=[4,4];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=0000000702440000;
i! workSpaceSizeInBytes: type=unsigned long long; val=3110408;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,540,960];
i! strideA: type=int; val=[12441600,518400,960,1];
i! yData: location=dev; addr=0000000733C00000;
i! Time: 2019-04-18T16:08:05.580974 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.584976 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.584976 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.584976 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.584976 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.585959 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.589121 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,540,960];
i! strideA: type=int; val=[12441600,518400,960,1];
i! Time: 2019-04-18T16:08:05.589121 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.589121 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! Time: 2019-04-18T16:08:05.589121 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,540,960];
i! strideA: type=int; val=[12441600,518400,960,1];
i! xData: location=dev; addr=0000000733C00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,540,960];
i! strideA: type=int; val=[12441600,518400,960,1];
i! yData: location=dev; addr=0000000736C00000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! bnScaleData: location=dev; addr=0000000702003C00;
i! bnBiasData: location=dev; addr=0000000702003E00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702004000;
i! resultRunningVarianceData: location=dev; addr=0000000702004200;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=00000007021A7A00;
i! saveInvVariance: location=dev; addr=00000007021A7C00;
i! Time: 2019-04-18T16:08:05.589121 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.592964 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.592964 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,48,270,480];
i! strideA: type=int; val=[6220800,129600,480,1];
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[64,48,5,5];
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,64,135,240];
i! strideA: type=int; val=[2073600,32400,240,1];
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[2,2];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,48,270,480];
i! strideA: type=int; val=[6220800,129600,480,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[64,48,5,5];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[2,2];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,64,135,240];
i! strideA: type=int; val=[2073600,32400,240,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.608915 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.609912 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.615851 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,48,270,480];
i! strideA: type=int; val=[6220800,129600,480,1];
i! xData: location=dev; addr=0000000736C00000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[64,48,5,5];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702004600;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[2,2];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2);
i! workSpace: location=dev; addr=0000000742C00000;
i! workSpaceSizeInBytes: type=unsigned long long; val=155520000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,64,135,240];
i! strideA: type=int; val=[2073600,32400,240,1];
i! yData: location=dev; addr=0000000702440000;
i! Time: 2019-04-18T16:08:05.616892 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.620879 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.620879 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.620879 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.620879 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.621880 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.621880 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,64,135,240];
i! strideA: type=int; val=[2073600,32400,240,1];
i! Time: 2019-04-18T16:08:05.621880 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.621880 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,64,1,1];
i! strideA: type=int; val=[64,1,1,1];
i! Time: 2019-04-18T16:08:05.621880 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,64,135,240];
i! strideA: type=int; val=[2073600,32400,240,1];
i! xData: location=dev; addr=0000000702440000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,64,135,240];
i! strideA: type=int; val=[2073600,32400,240,1];
i! yData: location=dev; addr=0000000702C29000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,64,1,1];
i! strideA: type=int; val=[64,1,1,1];
i! bnScaleData: location=dev; addr=000000070204F600;
i! bnBiasData: location=dev; addr=000000070204F800;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=000000070204FA00;
i! resultRunningVarianceData: location=dev; addr=000000070204FC00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=00000007021A7E00;
i! saveInvVariance: location=dev; addr=00000007021A8000;
i! Time: 2019-04-18T16:08:05.621880 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.622875 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.622875 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.624856 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,128,1,1];
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.625845 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.626835 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.626835 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.626835 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007383BB000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702050000;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074C200000;
i! Time: 2019-04-18T16:08:05.626835 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.626835 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.626835 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.626835 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.626835 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.627841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.627841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.627841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.627841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.627841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074C200000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074C2FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=0000000702054000;
i! bnBiasData: location=dev; addr=0000000702054200;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702054400;
i! resultRunningVarianceData: location=dev; addr=0000000702054600;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C3FE000;
i! saveInvVariance: location=dev; addr=000000074C3FE200;
i! Time: 2019-04-18T16:08:05.627841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.627841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.627841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.629844 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.629844 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.629844 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.629844 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,128,1,1];
i! Time: 2019-04-18T16:08:05.629844 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.629844 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.629844 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=0000000742C00000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702054A00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074C400000;
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.630812 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.631841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.631841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.631841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.631841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074C400000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074C4FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=0000000702058A00;
i! bnBiasData: location=dev; addr=0000000702058C00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702058E00;
i! resultRunningVarianceData: location=dev; addr=0000000702059000;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C3FE400;
i! saveInvVariance: location=dev; addr=000000074C3FE600;
i! Time: 2019-04-18T16:08:05.631841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.631841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.631841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.631841 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[24,128,1,1];
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007383BB000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702059400;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074C600000;
i! Time: 2019-04-18T16:08:05.632836 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074C600000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074C6BF400;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! bnScaleData: location=dev; addr=000000070205C400;
i! bnBiasData: location=dev; addr=000000070205C600;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=000000070205C800;
i! resultRunningVarianceData: location=dev; addr=000000070205CA00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C3FE800;
i! saveInvVariance: location=dev; addr=000000074C3FEA00;
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.633833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.634832 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,24,3,3];
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074C6BF400;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=000000070205CE00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=76928;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074C800000;
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.635798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.636833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.636833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.636833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.636833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.636833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074C800000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074C8FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=0000000702063A00;
i! bnBiasData: location=dev; addr=0000000702063C00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702063E00;
i! resultRunningVarianceData: location=dev; addr=0000000702064000;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C3FEC00;
i! saveInvVariance: location=dev; addr=000000074C3FEE00;
i! Time: 2019-04-18T16:08:05.636833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.636833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.636833 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.637820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[24,128,1,1];
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007383BB000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702064400;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074CA00000;
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.638790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074CA00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074CABF400;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! bnScaleData: location=dev; addr=0000000702067400;
i! bnBiasData: location=dev; addr=0000000702067600;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702067800;
i! resultRunningVarianceData: location=dev; addr=0000000702067A00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C3FF000;
i! saveInvVariance: location=dev; addr=000000074C3FF200;
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.639820 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,24,3,3];
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074CABF400;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702067E00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=76928;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074CC00000;
i! Time: 2019-04-18T16:08:05.640813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074CC00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074CCFF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=000000070206EA00;
i! bnBiasData: location=dev; addr=000000070206EC00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=000000070206EE00;
i! resultRunningVarianceData: location=dev; addr=000000070206F000;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C3FF400;
i! saveInvVariance: location=dev; addr=000000074C3FF600;
i! Time: 2019-04-18T16:08:05.641826 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.642813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.642813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.642813 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,32,3,3];
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,32,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074CCFF000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,32,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=000000070206F400;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=102528;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074CE00000;
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.643776 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.644811 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.644811 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.644811 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.644811 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.644811 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074CE00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074CEFF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=0000000702078400;
i! bnBiasData: location=dev; addr=0000000702078600;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702078800;
i! resultRunningVarianceData: location=dev; addr=0000000702078A00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C3FF800;
i! saveInvVariance: location=dev; addr=000000074C3FFA00;
i! Time: 2019-04-18T16:08:05.644811 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.644811 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.644811 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.645798 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,128,1,1];
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=0000000742FFC000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702078E00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074D000000;
i! Time: 2019-04-18T16:08:05.646795 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.647825 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074D000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074D0FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=000000070207CE00;
i! bnBiasData: location=dev; addr=000000070207D000;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=000000070207D200;
i! resultRunningVarianceData: location=dev; addr=000000070207D400;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C3FFC00;
i! saveInvVariance: location=dev; addr=000000074C3FFE00;
i! Time: 2019-04-18T16:08:05.648790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.648790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.648790 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.649787 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.649787 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.649787 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.649787 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,128,1,1];
i! Time: 2019-04-18T16:08:05.649787 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.649787 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007433F8000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=000000070207D800;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074D200000;
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.650796 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074D200000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074D2FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=0000000702081800;
i! bnBiasData: location=dev; addr=0000000702081A00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702081C00;
i! resultRunningVarianceData: location=dev; addr=0000000702081E00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C5FE000;
i! saveInvVariance: location=dev; addr=000000074C5FE200;
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.651793 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[24,128,1,1];
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=0000000742FFC000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702082200;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074D400000;
i! Time: 2019-04-18T16:08:05.652792 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! Time: 2019-04-18T16:08:05.653803 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074D400000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074D4BF400;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! bnScaleData: location=dev; addr=0000000702085200;
i! bnBiasData: location=dev; addr=0000000702085400;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702085600;
i! resultRunningVarianceData: location=dev; addr=0000000702085800;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C5FE400;
i! saveInvVariance: location=dev; addr=000000074C5FE600;
i! Time: 2019-04-18T16:08:05.654786 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.654786 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.654786 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.654786 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,24,3,3];
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074D4BF400;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702085C00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=76928;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074D600000;
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.655747 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.656784 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.656784 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.656784 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.656784 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.656784 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074D600000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074D6FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=000000070208C800;
i! bnBiasData: location=dev; addr=000000070208CA00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=000000070208CC00;
i! resultRunningVarianceData: location=dev; addr=000000070208CE00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C5FE800;
i! saveInvVariance: location=dev; addr=000000074C5FEA00;
i! Time: 2019-04-18T16:08:05.656784 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.656784 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.656784 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[24,128,1,1];
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.657783 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=0000000742FFC000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=000000070208D200;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074D800000;
i! Time: 2019-04-18T16:08:05.658770 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.658770 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.658770 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.658770 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.658770 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.659735 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.659735 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.659735 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.659735 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! Time: 2019-04-18T16:08:05.659735 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074D800000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074D8BF400;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! bnScaleData: location=dev; addr=0000000702090200;
i! bnBiasData: location=dev; addr=0000000702090400;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702090600;
i! resultRunningVarianceData: location=dev; addr=0000000702090800;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C5FEC00;
i! saveInvVariance: location=dev; addr=000000074C5FEE00;
i! Time: 2019-04-18T16:08:05.659735 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.659735 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.659735 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,24,3,3];
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.660732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074D8BF400;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702090C00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=76928;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074DA00000;
i! Time: 2019-04-18T16:08:05.661763 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.661763 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.661763 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.661763 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.661763 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.661763 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.661763 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.662758 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.662758 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.662758 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074DA00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074DAFF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=0000000702097800;
i! bnBiasData: location=dev; addr=0000000702097A00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=0000000702097C00;
i! resultRunningVarianceData: location=dev; addr=0000000702097E00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C5FF000;
i! saveInvVariance: location=dev; addr=000000074C5FF200;
i! Time: 2019-04-18T16:08:05.662758 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.662758 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.662758 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.662758 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,32,3,3];
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,32,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074DAFF000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,32,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702098200;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=102528;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074DC00000;
i! Time: 2019-04-18T16:08:05.663725 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074DC00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074DCFF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=00000007020A1200;
i! bnBiasData: location=dev; addr=00000007020A1400;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020A1600;
i! resultRunningVarianceData: location=dev; addr=00000007020A1800;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C5FF400;
i! saveInvVariance: location=dev; addr=000000074C5FF600;
i! Time: 2019-04-18T16:08:05.664754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.665754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.665754 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.666715 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,128,1,1];
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007437F4000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020A1C00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074DE00000;
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.667713 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.668710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.668710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.668710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.668710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.668710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074DE00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074DEFF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=00000007020A5C00;
i! bnBiasData: location=dev; addr=00000007020A5E00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020A6000;
i! resultRunningVarianceData: location=dev; addr=00000007020A6200;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C5FF800;
i! saveInvVariance: location=dev; addr=000000074C5FFA00;
i! Time: 2019-04-18T16:08:05.668710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.668710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.668710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.669741 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,128,1,1];
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=0000000743BF0000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020A6600;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074E000000;
i! Time: 2019-04-18T16:08:05.670744 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074E000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074E0FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=00000007020AA600;
i! bnBiasData: location=dev; addr=00000007020AA800;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020AAA00;
i! resultRunningVarianceData: location=dev; addr=00000007020AAC00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C5FFC00;
i! saveInvVariance: location=dev; addr=000000074C5FFE00;
i! Time: 2019-04-18T16:08:05.671743 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.672736 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.672736 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.672736 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[24,128,1,1];
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007437F4000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020AB000;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074E200000;
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.673697 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.674732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.674732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.674732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.674732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! Time: 2019-04-18T16:08:05.674732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074E200000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074E2BF400;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! bnScaleData: location=dev; addr=00000007020AE000;
i! bnBiasData: location=dev; addr=00000007020AE200;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020AE400;
i! resultRunningVarianceData: location=dev; addr=00000007020AE600;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C9FE000;
i! saveInvVariance: location=dev; addr=000000074C9FE200;
i! Time: 2019-04-18T16:08:05.674732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.674732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.674732 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,24,3,3];
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.675729 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074E2BF400;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020AEA00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=76928;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074E400000;
i! Time: 2019-04-18T16:08:05.676724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.676724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.676724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.676724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.676724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.676724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.676724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.676724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.677721 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.677721 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074E400000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074E4FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=00000007020B5600;
i! bnBiasData: location=dev; addr=00000007020B5800;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020B5A00;
i! resultRunningVarianceData: location=dev; addr=00000007020B5C00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C9FE400;
i! saveInvVariance: location=dev; addr=000000074C9FE600;
i! Time: 2019-04-18T16:08:05.677721 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.677721 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.677721 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.677721 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[24,128,1,1];
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.678710 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.679716 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.679716 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.679716 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007437F4000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[24,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020B6000;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074E600000;
i! Time: 2019-04-18T16:08:05.679716 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.679716 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.679716 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.679716 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.679716 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.680727 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.680727 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.680727 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.680727 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! Time: 2019-04-18T16:08:05.680727 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074E600000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! yData: location=dev; addr=000000074E6BF400;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,1,1];
i! strideA: type=int; val=[24,1,1,1];
i! bnScaleData: location=dev; addr=00000007020B9000;
i! bnBiasData: location=dev; addr=00000007020B9200;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020B9400;
i! resultRunningVarianceData: location=dev; addr=00000007020B9600;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C9FE800;
i! saveInvVariance: location=dev; addr=000000074C9FEA00;
i! Time: 2019-04-18T16:08:05.680727 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.680727 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.680727 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.681724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.681724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! Time: 2019-04-18T16:08:05.681724 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,24,3,3];
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,24,68,120];
i! strideA: type=int; val=[195840,8160,120,1];
i! xData: location=dev; addr=000000074E6BF400;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,24,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020B9A00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=76928;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074E800000;
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.682702 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.683707 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.683707 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.683707 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.683707 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.683707 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074E800000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074E8FF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=00000007020C0600;
i! bnBiasData: location=dev; addr=00000007020C0800;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020C0A00;
i! resultRunningVarianceData: location=dev; addr=00000007020C0C00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C9FEC00;
i! saveInvVariance: location=dev; addr=000000074C9FEE00;
i! Time: 2019-04-18T16:08:05.683707 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.683707 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.683707 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[32,32,3,3];
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,32,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074E8FF000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[32,32,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020C1000;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=102528;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074EA00000;
i! Time: 2019-04-18T16:08:05.684694 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! Time: 2019-04-18T16:08:05.685701 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! xData: location=dev; addr=000000074EA00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,68,120];
i! strideA: type=int; val=[261120,8160,120,1];
i! yData: location=dev; addr=000000074EAFF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,32,1,1];
i! strideA: type=int; val=[32,1,1,1];
i! bnScaleData: location=dev; addr=00000007020CA000;
i! bnBiasData: location=dev; addr=00000007020CA200;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020CA400;
i! resultRunningVarianceData: location=dev; addr=00000007020CA600;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C9FF000;
i! saveInvVariance: location=dev; addr=000000074C9FF200;
i! Time: 2019-04-18T16:08:05.686698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.686698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.686698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[128,128,1,1];
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[128,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=0000000743FEC000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[128,128,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020CAA00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=48968;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! yData: location=dev; addr=00000007443E8000;
i! Time: 2019-04-18T16:08:05.687696 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.688698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.688698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.688698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.688698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.688698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.688698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.688698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.689689 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,1,1];
i! strideA: type=int; val=[128,1,1,1];
i! Time: 2019-04-18T16:08:05.689689 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007443E8000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! yData: location=dev; addr=00000007447E4000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,1,1];
i! strideA: type=int; val=[128,1,1,1];
i! bnScaleData: location=dev; addr=00000007020DAA00;
i! bnBiasData: location=dev; addr=00000007020DAC00;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020DAE00;
i! resultRunningVarianceData: location=dev; addr=00000007020DB000;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C9FF400;
i! saveInvVariance: location=dev; addr=000000074C9FF600;
i! Time: 2019-04-18T16:08:05.689689 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.689689 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.689689 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.689689 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.689689 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.689689 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[256,128,3,3];
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[256,128,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=00000007447E4000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[256,128,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702200000;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=12248;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! yData: location=dev; addr=00000007387B7000;
i! Time: 2019-04-18T16:08:05.690690 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,1,1];
i! strideA: type=int; val=[256,1,1,1];
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! xData: location=dev; addr=00000007387B7000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! yData: location=dev; addr=0000000744BE0000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,1,1];
i! strideA: type=int; val=[256,1,1,1];
i! bnScaleData: location=dev; addr=00000007020DB400;
i! bnBiasData: location=dev; addr=00000007020DB800;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020DBC00;
i! resultRunningVarianceData: location=dev; addr=00000007020DC000;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074C9FF800;
i! saveInvVariance: location=dev; addr=000000074C9FFC00;
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.691683 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.692681 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[128,256,1,1];
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[128,256,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! xData: location=dev; addr=0000000744BE0000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[128,256,1,1];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020DC600;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[0,0];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=00000007021A8200;
i! workSpaceSizeInBytes: type=unsigned long long; val=12248;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! yData: location=dev; addr=000000074EC00000;
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.693665 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.694698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.694698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! Time: 2019-04-18T16:08:05.694698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.694698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,1,1];
i! strideA: type=int; val=[128,1,1,1];
i! Time: 2019-04-18T16:08:05.694698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! xData: location=dev; addr=000000074EC00000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! yData: location=dev; addr=000000074ECFF000;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,1,1];
i! strideA: type=int; val=[128,1,1,1];
i! bnScaleData: location=dev; addr=00000007020FC600;
i! bnBiasData: location=dev; addr=00000007020FC800;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020FCA00;
i! resultRunningVarianceData: location=dev; addr=00000007020FCC00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074CDFE000;
i! saveInvVariance: location=dev; addr=000000074CDFE200;
i! Time: 2019-04-18T16:08:05.694698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.694698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.694698 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[256,128,3,3];
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[256,128,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,34,60];
i! strideA: type=int; val=[261120,2040,60,1];
i! xData: location=dev; addr=000000074ECFF000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[256,128,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702320000;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[2,2];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1);
i! workSpace: location=dev; addr=000000074CDFE400;
i! workSpaceSizeInBytes: type=unsigned long long; val=3068;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! yData: location=dev; addr=000000074C77E800;
i! Time: 2019-04-18T16:08:05.695677 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.696671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.696671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.696671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.696671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.697637 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.697637 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! Time: 2019-04-18T16:08:05.697637 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.697637 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,1,1];
i! strideA: type=int; val=[256,1,1,1];
i! Time: 2019-04-18T16:08:05.697637 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnBatchNormalizationForwardTraining() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! mode: type=cudnnBatchNormMode_t; val=CUDNN_BATCHNORM_SPATIAL (1);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! xData: location=dev; addr=000000074C77E800;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! yData: location=dev; addr=000000074CB7E800;
i! bnScaleBiasMeanVarDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,1,1];
i! strideA: type=int; val=[256,1,1,1];
i! bnScaleData: location=dev; addr=00000007020FD000;
i! bnBiasData: location=dev; addr=00000007020FD400;
i! exponentialAverageFactor: type=double; val=0.100000;
i! resultRunningMeanData: location=dev; addr=00000007020FD800;
i! resultRunningVarianceData: location=dev; addr=00000007020FDC00;
i! epsilon: type=double; val=0.000010;
i! saveMean: location=dev; addr=000000074CDFE400;
i! saveInvVariance: location=dev; addr=000000074CDFE800;
i! Time: 2019-04-18T16:08:05.697637 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.697637 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.697637 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[84,128,3,3];
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,84,68,120];
i! strideA: type=int; val=[685440,8160,120,1];
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[84,128,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,84,68,120];
i! strideA: type=int; val=[685440,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=0000000743FEC000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[84,128,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007020FE200;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=0000000703421000;
i! workSpaceSizeInBytes: type=unsigned long long; val=1173840;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,84,68,120];
i! strideA: type=int; val=[685440,8160,120,1];
i! yData: location=dev; addr=0000000744DDE000;
i! Time: 2019-04-18T16:08:05.698666 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,84,1,1];
i! strideA: type=int; val=[84,1,1,1];
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,84,68,120];
i! strideA: type=int; val=[685440,8160,120,1];
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnAddTensor() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! biasDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,84,1,1];
i! strideA: type=int; val=[84,1,1,1];
i! biasData: location=dev; addr=000000070215CA00;
i! beta: type=CUDNN_DATA_FLOAT; val=1.000000;
i! srcDestDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,84,68,120];
i! strideA: type=int; val=[685440,8160,120,1];
i! srcDestData: location=dev; addr=0000000744DDE000;
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.699663 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[42,128,3,3];
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,42,68,120];
i! strideA: type=int; val=[342720,8160,120,1];
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[42,128,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,42,68,120];
i! strideA: type=int; val=[342720,8160,120,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.700653 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,128,68,120];
i! strideA: type=int; val=[1044480,8160,120,1];
i! xData: location=dev; addr=0000000743FEC000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[42,128,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=000000070216F000;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=000000074EE00000;
i! workSpaceSizeInBytes: type=unsigned long long; val=717992;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,42,68,120];
i! strideA: type=int; val=[342720,8160,120,1];
i! yData: location=dev; addr=0000000703421000;
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,42,1,1];
i! strideA: type=int; val=[42,1,1,1];
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,42,68,120];
i! strideA: type=int; val=[342720,8160,120,1];
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnAddTensor() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! biasDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,42,1,1];
i! strideA: type=int; val=[42,1,1,1];
i! biasData: location=dev; addr=000000070219E400;
i! beta: type=CUDNN_DATA_FLOAT; val=1.000000;
i! srcDestDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,42,68,120];
i! strideA: type=int; val=[342720,8160,120,1];
i! srcDestData: location=dev; addr=0000000703421000;
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.701641 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[4,256,3,3];
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,34,60];
i! strideA: type=int; val=[8160,2040,60,1];
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.702671 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[4,256,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,34,60];
i! strideA: type=int; val=[8160,2040,60,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! xData: location=dev; addr=0000000744BE0000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[4,256,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=000000070215CC00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=000000074EE00000;
i! workSpaceSizeInBytes: type=unsigned long long; val=561168;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,34,60];
i! strideA: type=int; val=[8160,2040,60,1];
i! yData: location=dev; addr=00000007021A8200;
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,1,1];
i! strideA: type=int; val=[4,1,1,1];
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,34,60];
i! strideA: type=int; val=[8160,2040,60,1];
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnAddTensor() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! biasDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,1,1];
i! strideA: type=int; val=[4,1,1,1];
i! biasData: location=dev; addr=0000000702165C00;
i! beta: type=CUDNN_DATA_FLOAT; val=1.000000;
i! srcDestDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,34,60];
i! strideA: type=int; val=[8160,2040,60,1];
i! srcDestData: location=dev; addr=00000007021A8200;
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.703656 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[2,256,3,3];
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,34,60];
i! strideA: type=int; val=[4080,2040,60,1];
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[2,256,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,34,60];
i! strideA: type=int; val=[4080,2040,60,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,34,60];
i! strideA: type=int; val=[522240,2040,60,1];
i! xData: location=dev; addr=0000000744BE0000;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[2,256,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=000000070219E600;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=000000074EE00000;
i! workSpaceSizeInBytes: type=unsigned long long; val=542728;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,34,60];
i! strideA: type=int; val=[4080,2040,60,1];
i! yData: location=dev; addr=00000007021A8200;
i! Time: 2019-04-18T16:08:05.704648 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,1,1];
i! strideA: type=int; val=[2,1,1,1];
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,34,60];
i! strideA: type=int; val=[4080,2040,60,1];
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnAddTensor() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! biasDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,1,1];
i! strideA: type=int; val=[2,1,1,1];
i! biasData: location=dev; addr=00000007021A2E00;
i! beta: type=CUDNN_DATA_FLOAT; val=1.000000;
i! srcDestDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,34,60];
i! strideA: type=int; val=[4080,2040,60,1];
i! srcDestData: location=dev; addr=00000007021A8200;
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.705660 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[4,256,3,3];
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,17,30];
i! strideA: type=int; val=[2040,510,30,1];
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[4,256,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,17,30];
i! strideA: type=int; val=[2040,510,30,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! xData: location=dev; addr=000000074CB7E800;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[4,256,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=0000000702165E00;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=000000074EE00000;
i! workSpaceSizeInBytes: type=unsigned long long; val=561168;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,17,30];
i! strideA: type=int; val=[2040,510,30,1];
i! yData: location=dev; addr=000000074C7FE000;
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,1,1];
i! strideA: type=int; val=[4,1,1,1];
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,17,30];
i! strideA: type=int; val=[2040,510,30,1];
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnAddTensor() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! biasDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,1,1];
i! strideA: type=int; val=[4,1,1,1];
i! biasData: location=dev; addr=000000070216EE00;
i! beta: type=CUDNN_DATA_FLOAT; val=1.000000;
i! srcDestDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,4,17,30];
i! strideA: type=int; val=[2040,510,30,1];
i! srcDestData: location=dev; addr=000000074C7FE000;
i! Time: 2019-04-18T16:08:05.706647 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.707642 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.707642 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetStream() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! streamId: type=cudaStream_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.707642 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.707642 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! Time: 2019-04-18T16:08:05.707642 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.707642 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetFilterNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! nbDims: type=int; val=4;
i! filterDimA: type=int; val=[2,256,3,3];
i! Time: 2019-04-18T16:08:05.707642 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.707642 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,17,30];
i! strideA: type=int; val=[1020,510,30,1];
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionNdDescriptor() called:
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionGroupCount() called:
i! groupCount: type=int; val=1;
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithm_v7() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! srcDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! filterDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[2,256,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! destDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,17,30];
i! strideA: type=int; val=[1020,510,30,1];
i! requestedAlgoCount: type=int; val=8;
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnGetConvolutionForwardAlgorithmMaxCount() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetConvolutionMathType() called:
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnConvolutionForward() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! xDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,256,17,30];
i! strideA: type=int; val=[130560,510,30,1];
i! xData: location=dev; addr=000000074CB7E800;
i! wDesc: type=cudnnFilterDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! vect: type=int; val=0;
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[2,256,3,3];
i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0);
i! wData: location=dev; addr=00000007021A3000;
i! convDesc: type=cudnnConvolutionDescriptor_t:
i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1);
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0);
i! arrayLength: type=int; val=2;
i! padA: type=int; val=[1,1];
i! strideA: type=int; val=[1,1];
i! dilationA: type=int; val=[1,1];
i! groupCount: type=int; val=1;
i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6);
i! workSpace: location=dev; addr=000000074EE00000;
i! workSpaceSizeInBytes: type=unsigned long long; val=542728;
i! beta: type=CUDNN_DATA_FLOAT; val=0.000000;
i! yDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,17,30];
i! strideA: type=int; val=[1020,510,30,1];
i! yData: location=dev; addr=000000074CDFEC00;
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyConvolutionDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyFilterDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,1,1];
i! strideA: type=int; val=[2,1,1,1];
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnCreateTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnSetTensorNdDescriptor() called:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,17,30];
i! strideA: type=int; val=[1020,510,30,1];
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnAddTensor() called:
i! handle: type=cudnnHandle_t; streamId=0000000000000000 (defaultStream);
i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000;
i! biasDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,1,1];
i! strideA: type=int; val=[2,1,1,1];
i! biasData: location=dev; addr=00000007021A7800;
i! beta: type=CUDNN_DATA_FLOAT; val=1.000000;
i! srcDestDesc: type=cudnnTensorDescriptor_t:
i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0);
i! nbDims: type=int; val=4;
i! dimA: type=int; val=[1,2,17,30];
i! strideA: type=int; val=[1020,510,30,1];
i! srcDestData: location=dev; addr=000000074CDFEC00;
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=0; Handle=000001E227B1A1B0; StreamId=0000000000000000 (defaultStream).
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
I! CuDNN (v7500) function cudnnDestroyTensorDescriptor() called:
i! Time: 2019-04-18T16:08:05.708639 (0d+0h+0m+12s since start)
i! Process=19228; Thread=10940; GPU=NULL; Handle=NULL; StreamId=NULL.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment