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Hi,
I am trying to convert CUDA-Winograd usinf dpct but I am getting SIGSEGV error for all the files.Sample error for Kernel256_winograd.cu is:
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master>dpct --cuda-include-path="C:\nvcc\include" --out-root=dpct Kernel256_winograd.cu
Processing: c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:11:1: warning: DPCT1037:0: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
#include "cudnn.h"
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:273:32: warning: format specifies type 'int' but the argument has type 'unsigned long long' [-Wformat]
printf("TotalTime = %d us\n", nT2-nT1);
~~ ^~~~~~~
%llu
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:400:38: warning: format specifies type 'int' but the argument has type 'unsigned long long' [-Wformat]
printf("cuDNN TotalTime = %d us\n", nT2_cudnn-nT1_cudnn);
~~ ^~~~~~~~~~~~~~~~~~~
%llu
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:275:6: warning: DPCT1003:1: Migrated API does not return error code. (*, 0) is inserted. You may need to rewrite this code.
s = cudaMemcpy(tmp, output, nOutput<<2, cudaMemcpyDeviceToHost);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:276:17: warning: DPCT1009:2: SYCL uses exceptions to report errors and does not use the error codes. The original code was commented out and a warning string was inserted. You need to rewrite this code.
printf("%s\n", cudaGetErrorName(s));
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:321:2: warning: DPCT1037:3: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
cudnnStatus_t status;
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:325:2: warning: DPCT1037:4: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
cudnnHandle_t handle;
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:326:11: warning: DPCT1037:5: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnCreate(&handle);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:327:16: warning: DPCT1037:6: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed1\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:329:2: warning: DPCT1037:7: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
cudnnTensorDescriptor_t xdesc, ydesc, bdesc;
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:330:2: warning: DPCT1037:8: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
cudnnFilterDescriptor_t wdesc; // CUDNN_TENSOR_NHWC, CUDNN_TENSOR_NCHW
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:331:11: warning: DPCT1037:9: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnCreateTensorDescriptor(&xdesc);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:332:16: warning: DPCT1037:10: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed2\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:333:11: warning: DPCT1037:11: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnSetTensor4dDescriptor(xdesc, CUDNN_TENSOR_NHWC, CUDNN_DATA_FLOAT, 1, 256, 16, 16);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:334:16: warning: DPCT1037:12: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed3\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:335:11: warning: DPCT1037:13: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnCreateTensorDescriptor(&ydesc);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:336:16: warning: DPCT1037:14: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed4\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:337:11: warning: DPCT1037:15: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnSetTensor4dDescriptor(ydesc, CUDNN_TENSOR_NHWC, CUDNN_DATA_FLOAT, 1, 256, 14, 14);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:338:16: warning: DPCT1037:16: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed5\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:339:11: warning: DPCT1037:17: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnCreateFilterDescriptor(&wdesc);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:340:16: warning: DPCT1037:18: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed6\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:341:11: warning: DPCT1037:19: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnSetFilter4dDescriptor(wdesc, CUDNN_DATA_FLOAT, CUDNN_TENSOR_NCHW, 256, 256, 3, 3);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:342:16: warning: DPCT1037:20: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed7\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:343:11: warning: DPCT1037:21: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnCreateTensorDescriptor(&bdesc);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:344:16: warning: DPCT1037:22: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed8\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:345:11: warning: DPCT1037:23: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnSetTensor4dDescriptor(bdesc, CUDNN_TENSOR_NHWC, CUDNN_DATA_FLOAT, 1, 256, 1, 1);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:346:16: warning: DPCT1037:24: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed9\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:347:2: warning: DPCT1037:25: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
cudnnConvolutionDescriptor_t conv_desc;
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:348:11: warning: DPCT1037:26: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnCreateConvolutionDescriptor(&conv_desc);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:349:16: warning: DPCT1037:27: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed10\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:350:11: warning: DPCT1037:28: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnSetConvolution2dDescriptor(conv_desc, 0,0, 1,1,1,1, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT); //CUDNN_CONVOLUTION
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:351:16: warning: DPCT1037:29: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed11\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:353:2: warning: DPCT1037:30: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
cudnnActivationDescriptor_t act_desc;
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:354:11: warning: DPCT1037:31: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnCreateActivationDescriptor(&act_desc);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:355:16: warning: DPCT1037:32: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed12\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:356:11: warning: DPCT1037:33: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnSetActivationDescriptor(act_desc, CUDNN_ACTIVATION_RELU, CUDNN_NOT_PROPAGATE_NAN, 0);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:357:16: warning: DPCT1037:34: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed13\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:359:2: warning: DPCT1037:35: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
cudnnTensorDescriptor_t bnScaleBiasMeanVarDesc;
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:360:11: warning: DPCT1037:36: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnCreateTensorDescriptor(&bnScaleBiasMeanVarDesc);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:361:16: warning: DPCT1037:37: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed14\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:362:11: warning: DPCT1037:38: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
status = cudnnSetTensor4dDescriptor(bnScaleBiasMeanVarDesc, CUDNN_TENSOR_NCHW, CUDNN_DATA_FLOAT, 1, 256, 1, 1);
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:363:16: warning: DPCT1037:39: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
if (status != CUDNN_STATUS_SUCCESS) printf("failed15\n");
^
c:\Users\intel\Downloads\cuda code\CUDA-Winograd-master\Kernel256_winograd.cu:365:2: warning: DPCT1037:40: Rewrite this code using Intel(R) oneAPI Deep Neural Network Library (oneDNN) with DPC++.
cudnnConvolutionFwdAlgo_t algo = (cudnnConvolutionFwdAlgo_t)6;
^
Meet signal:SIGSEGV
Intel(R) DPC++ Compatibility Tool tries to give analysis reports and terminates...
I am getting same SIGSEGV error for /Kernel128_one.cu, Kernel128_winograd.cu and Kernel256_one.cu files too (though warnings are different)
compile_commands.json is also attached but I am getting same error with or without compile_commands.json.
Regards,
Gagan
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Hi Gagandeep,
Thanks for reaching out to us.!
We are able to reproduce the error on our side.
We have escalated this query to the concerned.
Thanks & Regards
Goutham
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Hi Gagandeep,
The issue can no longer be reproduced with Beta08. Could you please verify at your end?
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