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https://github.com/pjreddie/darknet.git
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63 lines
1.9 KiB
Plaintext
63 lines
1.9 KiB
Plaintext
extern "C" {
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#include "blas.h"
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#include "cuda.h"
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}
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__global__ void axpy_kernel(int N, float ALPHA, float *X, int OFFX, int INCX, float *Y, int OFFY, int INCY)
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{
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int i = (blockIdx.x + blockIdx.y*gridDim.x) * blockDim.x + threadIdx.x;
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if(i < N) Y[OFFY+i*INCY] += ALPHA*X[OFFX+i*INCX];
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}
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__global__ void scal_kernel(int N, float ALPHA, float *X, int INCX)
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{
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int i = (blockIdx.x + blockIdx.y*gridDim.x) * blockDim.x + threadIdx.x;
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if(i < N) X[i*INCX] *= ALPHA;
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}
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__global__ void mask_kernel(int n, float *x, float *mask)
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{
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int i = (blockIdx.x + blockIdx.y*gridDim.x) * blockDim.x + threadIdx.x;
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if(i < n && mask[i] == 0) x[i] = 0;
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}
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__global__ void copy_kernel(int N, float *X, int OFFX, int INCX, float *Y, int OFFY, int INCY)
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{
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int i = (blockIdx.x + blockIdx.y*gridDim.x) * blockDim.x + threadIdx.x;
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if(i < N) Y[i*INCY + OFFY] = X[i*INCX + OFFX];
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}
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extern "C" void axpy_ongpu(int N, float ALPHA, float * X, int INCX, float * Y, int INCY)
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{
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axpy_ongpu_offset(N, ALPHA, X, 0, INCX, Y, 0, INCY);
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}
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extern "C" void axpy_ongpu_offset(int N, float ALPHA, float * X, int OFFX, int INCX, float * Y, int OFFY, int INCY)
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{
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axpy_kernel<<<cuda_gridsize(N), BLOCK>>>(N, ALPHA, X, OFFX, INCX, Y, OFFY, INCY);
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check_error(cudaPeekAtLastError());
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}
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extern "C" void copy_ongpu(int N, float * X, int INCX, float * Y, int INCY)
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{
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copy_ongpu_offset(N, X, 0, INCX, Y, 0, INCY);
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}
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extern "C" void copy_ongpu_offset(int N, float * X, int OFFX, int INCX, float * Y, int OFFY, int INCY)
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{
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copy_kernel<<<cuda_gridsize(N), BLOCK>>>(N, X, OFFX, INCX, Y, OFFY, INCY);
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check_error(cudaPeekAtLastError());
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}
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extern "C" void mask_ongpu(int N, float * X, float * mask)
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{
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mask_kernel<<<cuda_gridsize(N), BLOCK>>>(N, X, mask);
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check_error(cudaPeekAtLastError());
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}
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extern "C" void scal_ongpu(int N, float ALPHA, float * X, int INCX)
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{
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scal_kernel<<<cuda_gridsize(N), BLOCK>>>(N, ALPHA, X, INCX);
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check_error(cudaPeekAtLastError());
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}
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