Evgeny Mankov
fbfe005e4e
Repeats clang's '--cuda-path' option. [Reason] In case of absence of any other clang's options setting '-cuda-path' allows not to specify separator '--' before clang's '--cuda-path'. + Tests and scripts are updated accordingly.
262 lines
9.0 KiB
Plaintext
262 lines
9.0 KiB
Plaintext
// RUN: %run_test hipify "%s" "%t" %hipify_args %clang_args
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#include <stdio.h>
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#include <stdlib.h>
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#include <assert.h>
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// CHECK: #include <hip/hip_runtime.h>
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#include <cuda_runtime.h>
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// CHECK: #include <hipsparse.h>
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#include <cusparse.h>
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void printMatrix(int m, int n, const float*A, int lda, const char* name)
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{
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for (int row = 0; row < m; row++) {
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for (int col = 0; col < n; col++) {
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float Areg = A[row + col * lda];
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printf("%s(%d,%d) = %f\n", name, row + 1, col + 1, Areg);
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}
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}
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}
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void printCsr(
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int m,
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int n,
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int nnz,
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// CHECK: const hipsparseMatDescr_t descrA,
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const cusparseMatDescr_t descrA,
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const float *csrValA,
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const int *csrRowPtrA,
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const int *csrColIndA,
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const char* name)
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{
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// CHECK: const int base = (hipsparseGetMatIndexBase(descrA) != HIPSPARSE_INDEX_BASE_ONE) ? 0 : 1;
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const int base = (cusparseGetMatIndexBase(descrA) != CUSPARSE_INDEX_BASE_ONE) ? 0 : 1;
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printf("matrix %s is %d-by-%d, nnz=%d, base=%d\n", name, m, n, nnz, base);
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for (int row = 0; row < m; row++) {
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const int start = csrRowPtrA[row] - base;
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const int end = csrRowPtrA[row + 1] - base;
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for (int colidx = start; colidx < end; colidx++) {
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const int col = csrColIndA[colidx] - base;
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const float Areg = csrValA[colidx];
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printf("%s(%d,%d) = %f\n", name, row + 1, col + 1, Areg);
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}
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}
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}
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int main(int argc, char*argv[])
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{
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// CHECK: hipsparseHandle_t handle = NULL;
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cusparseHandle_t handle = NULL;
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// CHECK: hipStream_t stream = NULL;
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cudaStream_t stream = NULL;
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// CHECK: hipsparseMatDescr_t descrC = NULL;
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cusparseMatDescr_t descrC = NULL;
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// CHECK: hipsparseStatus_t status = HIPSPARSE_STATUS_SUCCESS;
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cusparseStatus_t status = CUSPARSE_STATUS_SUCCESS;
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// CHECK: hipError_t cudaStat1 = hipSuccess;
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// CHECK: hipError_t cudaStat2 = hipSuccess;
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// CHECK: hipError_t cudaStat3 = hipSuccess;
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// CHECK: hipError_t cudaStat4 = hipSuccess;
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// CHECK: hipError_t cudaStat5 = hipSuccess;
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cudaError_t cudaStat1 = cudaSuccess;
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cudaError_t cudaStat2 = cudaSuccess;
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cudaError_t cudaStat3 = cudaSuccess;
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cudaError_t cudaStat4 = cudaSuccess;
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cudaError_t cudaStat5 = cudaSuccess;
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const int m = 4;
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const int n = 4;
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const int lda = m;
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/*
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* | 1 0 2 -3 |
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* | 0 4 0 0 |
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* A = | 5 0 6 7 |
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* | 0 8 0 9 |
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*
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*/
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const float A[lda*n] = { 1, 0, 5, 0, 0, 4, 0, 8, 2, 0, 6, 0, -3, 0, 7, 9 };
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int* csrRowPtrC = NULL;
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int* csrColIndC = NULL;
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float* csrValC = NULL;
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float *d_A = NULL;
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int *d_csrRowPtrC = NULL;
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int *d_csrColIndC = NULL;
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float *d_csrValC = NULL;
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size_t lworkInBytes = 0;
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char *d_work = NULL;
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int nnzC = 0;
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float threshold = 4.1; /* remove Aij <= 4.1 */
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// float threshold = 0; /* remove zeros */
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printf("example of pruneDense2csr \n");
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printf("prune |A(i,j)| <= threshold \n");
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printf("threshold = %E \n", threshold);
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printMatrix(m, n, A, lda, "A");
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/* step 1: create cusparse handle, bind a stream */
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// CHECK: cudaStat1 = hipStreamCreateWithFlags(&stream, hipStreamNonBlocking);
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cudaStat1 = cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking);
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// CHECK: assert(hipSuccess == cudaStat1);
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assert(cudaSuccess == cudaStat1);
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// CHECK: status = hipsparseCreate(&handle);
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status = cusparseCreate(&handle);
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// CHECK: assert(HIPSPARSE_STATUS_SUCCESS == status);
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assert(CUSPARSE_STATUS_SUCCESS == status);
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// CHECK: status = hipsparseSetStream(handle, stream);
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status = cusparseSetStream(handle, stream);
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// CHECK: assert(HIPSPARSE_STATUS_SUCCESS == status);
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assert(CUSPARSE_STATUS_SUCCESS == status);
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/* step 2: configuration of matrix C */
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// CHECK: status = hipsparseCreateMatDescr(&descrC);
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status = cusparseCreateMatDescr(&descrC);
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// CHECK: assert(HIPSPARSE_STATUS_SUCCESS == status);
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assert(CUSPARSE_STATUS_SUCCESS == status);
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// CHECK: hipsparseSetMatIndexBase(descrC, HIPSPARSE_INDEX_BASE_ZERO);
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cusparseSetMatIndexBase(descrC, CUSPARSE_INDEX_BASE_ZERO);
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// CHECK: hipsparseSetMatType(descrC, HIPSPARSE_MATRIX_TYPE_GENERAL);
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cusparseSetMatType(descrC, CUSPARSE_MATRIX_TYPE_GENERAL);
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// CHECK: cudaStat1 = hipMalloc((void**)&d_A, sizeof(float)*lda*n);
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cudaStat1 = cudaMalloc((void**)&d_A, sizeof(float)*lda*n);
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// CHECK: cudaStat2 = hipMalloc((void**)&d_csrRowPtrC, sizeof(int)*(m + 1));
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cudaStat2 = cudaMalloc((void**)&d_csrRowPtrC, sizeof(int)*(m + 1));
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// CHECK: assert(hipSuccess == cudaStat1);
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// CHECK: assert(hipSuccess == cudaStat2);
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assert(cudaSuccess == cudaStat1);
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assert(cudaSuccess == cudaStat2);
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/* step 3: query workspace */
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// CHECK: cudaStat1 = hipMemcpy(d_A, A, sizeof(float)*lda*n, hipMemcpyHostToDevice);
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cudaStat1 = cudaMemcpy(d_A, A, sizeof(float)*lda*n, cudaMemcpyHostToDevice);
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// CHECK: assert(hipSuccess == cudaStat1);
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assert(cudaSuccess == cudaStat1);
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// TODO: status = hipsparseSpruneDense2csr_bufferSizeExt(
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status = cusparseSpruneDense2csr_bufferSizeExt(
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handle,
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m,
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n,
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d_A,
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lda,
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&threshold,
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descrC,
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d_csrValC,
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d_csrRowPtrC,
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d_csrColIndC,
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&lworkInBytes);
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// CHECK: assert(HIPSPARSE_STATUS_SUCCESS == status);
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assert(CUSPARSE_STATUS_SUCCESS == status);
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printf("lworkInBytes (prune) = %lld \n", (long long)lworkInBytes);
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// CHECK: if (NULL != d_work) { hipFree(d_work); }
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if (NULL != d_work) { cudaFree(d_work); }
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// CHECK: cudaStat1 = hipMalloc((void**)&d_work, lworkInBytes);
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cudaStat1 = cudaMalloc((void**)&d_work, lworkInBytes);
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// CHECK: assert(hipSuccess == cudaStat1);
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assert(cudaSuccess == cudaStat1);
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/* step 4: compute csrRowPtrC and nnzC */
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// TODO: status = hipsparseSpruneDense2csrNnz(
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status = cusparseSpruneDense2csrNnz(
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handle,
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m,
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n,
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d_A,
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lda,
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&threshold,
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descrC,
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d_csrRowPtrC,
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&nnzC, /* host */
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d_work);
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// CHECK: assert(HIPSPARSE_STATUS_SUCCESS == status);
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assert(CUSPARSE_STATUS_SUCCESS == status);
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// CHECK: cudaStat1 = hipDeviceSynchronize();
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cudaStat1 = cudaDeviceSynchronize();
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// CHECK: assert(hipSuccess == cudaStat1);
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assert(cudaSuccess == cudaStat1);
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printf("nnzC = %d\n", nnzC);
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if (0 == nnzC) {
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printf("C is empty \n");
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return 0;
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}
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/* step 5: compute csrColIndC and csrValC */
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// CHECK: cudaStat1 = hipMalloc((void**)&d_csrColIndC, sizeof(int) * nnzC);
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cudaStat1 = cudaMalloc((void**)&d_csrColIndC, sizeof(int) * nnzC);
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// CHECK: cudaStat2 = hipMalloc((void**)&d_csrValC, sizeof(float) * nnzC);
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cudaStat2 = cudaMalloc((void**)&d_csrValC, sizeof(float) * nnzC);
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// CHECK: assert(hipSuccess == cudaStat1);
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// CHECK: assert(hipSuccess == cudaStat2);
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assert(cudaSuccess == cudaStat1);
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assert(cudaSuccess == cudaStat2);
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// TODO: status = hipsparseSpruneDense2csr(
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status = cusparseSpruneDense2csr(
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handle,
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m,
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n,
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d_A,
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lda,
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&threshold,
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descrC,
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d_csrValC,
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d_csrRowPtrC,
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d_csrColIndC,
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d_work);
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// CHECK: assert(HIPSPARSE_STATUS_SUCCESS == status);
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assert(CUSPARSE_STATUS_SUCCESS == status);
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// CHECK: cudaStat1 = hipDeviceSynchronize();
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cudaStat1 = cudaDeviceSynchronize();
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// CHECK: assert(hipSuccess == cudaStat1);
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assert(cudaSuccess == cudaStat1);
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/* step 6: output C */
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csrRowPtrC = (int*)malloc(sizeof(int)*(m + 1));
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csrColIndC = (int*)malloc(sizeof(int)*nnzC);
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csrValC = (float*)malloc(sizeof(float)*nnzC);
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assert(NULL != csrRowPtrC);
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assert(NULL != csrColIndC);
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assert(NULL != csrValC);
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// CHECK: cudaStat1 = hipMemcpy(csrRowPtrC, d_csrRowPtrC, sizeof(int)*(m + 1), hipMemcpyDeviceToHost);
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cudaStat1 = cudaMemcpy(csrRowPtrC, d_csrRowPtrC, sizeof(int)*(m + 1), cudaMemcpyDeviceToHost);
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// CHECK: cudaStat2 = hipMemcpy(csrColIndC, d_csrColIndC, sizeof(int)*nnzC, hipMemcpyDeviceToHost);
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cudaStat2 = cudaMemcpy(csrColIndC, d_csrColIndC, sizeof(int)*nnzC, cudaMemcpyDeviceToHost);
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// CHECK: cudaStat3 = hipMemcpy(csrValC, d_csrValC, sizeof(float)*nnzC, hipMemcpyDeviceToHost);
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cudaStat3 = cudaMemcpy(csrValC, d_csrValC, sizeof(float)*nnzC, cudaMemcpyDeviceToHost);
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// CHECK: assert(hipSuccess == cudaStat1);
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// CHECK: assert(hipSuccess == cudaStat2);
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// CHECK: assert(hipSuccess == cudaStat3);
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assert(cudaSuccess == cudaStat1);
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assert(cudaSuccess == cudaStat2);
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assert(cudaSuccess == cudaStat3);
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printCsr(m, n, nnzC, descrC, csrValC, csrRowPtrC, csrColIndC, "C");
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/* free resources */
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// CHECK: if (d_A) hipFree(d_A);
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if (d_A) cudaFree(d_A);
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// CHECK: if (d_csrRowPtrC) hipFree(d_csrRowPtrC);
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if (d_csrRowPtrC) cudaFree(d_csrRowPtrC);
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// CHECK: if (d_csrColIndC) hipFree(d_csrColIndC);
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if (d_csrColIndC) cudaFree(d_csrColIndC);
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// CHECK: if (d_csrValC) hipFree(d_csrValC);
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if (d_csrValC) cudaFree(d_csrValC);
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if (csrRowPtrC) free(csrRowPtrC);
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if (csrColIndC) free(csrColIndC);
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if (csrValC) free(csrValC);
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// CHECK: if (handle) hipsparseDestroy(handle);
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if (handle) cusparseDestroy(handle);
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// CHECK: if (stream) hipStreamDestroy(stream);
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if (stream) cudaStreamDestroy(stream);
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// CHECK: if (descrC) hipsparseDestroyMatDescr(descrC);
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if (descrC) cusparseDestroyMatDescr(descrC);
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// CHECK: hipDeviceReset();
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cudaDeviceReset();
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return 0;
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}
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