diff options
Diffstat (limited to 'matrix/generic/cukernel.cu')
| -rw-r--r-- | matrix/generic/cukernel.cu | 87 |
1 files changed, 72 insertions, 15 deletions
diff --git a/matrix/generic/cukernel.cu b/matrix/generic/cukernel.cu index 0e3d3cf..1d8b983 100644 --- a/matrix/generic/cukernel.cu +++ b/matrix/generic/cukernel.cu @@ -4,7 +4,7 @@ #include "matrix.h" #include "cuda.h" #define CUDA_THREADS_N 16 -#define CUDA_THREADS_NN (16 * 16) +#define CUDA_THREADS_NN ((CUDA_THREADS_N) * (CUDA_THREADS_N)) #define CEIL_DIV(a, b) (((a) + (b) - 1) / (b)) __global__ void cudak_(log_elem)(const MATRIX_ELEM *a, MATRIX_ELEM *b, int nrow, int ncol, int stride) { @@ -154,12 +154,43 @@ __global__ void cudak_(fill)(MATRIX_ELEM *a, a[j + i * stride] = val; } +__global__ void cudak_(expand_frm)(const MATRIX_ELEM *a, MATRIX_ELEM *b, + int nrow, int ncol, + int enrow, int encol, + int stride, int estride, + int context) { + int j = blockIdx.x * blockDim.x + threadIdx.x; + int i = blockIdx.y * blockDim.y + threadIdx.y; + int ridx; + if (i >= enrow || j >= encol) return; + ridx = i + j / ncol - context; + if (ridx < 0) ridx = 0; + else if (ridx >= nrow) ridx = nrow - 1; + b[j + i * estride] = a[j % ncol + ridx * stride]; +} + +__global__ void cudak_(rearrange_frm)(const MATRIX_ELEM *a, MATRIX_ELEM *b, + int nrow, int ncol, + int stride, int step, int orig_dim) { + int j = blockIdx.x * blockDim.x + threadIdx.x; + int i = blockIdx.y * blockDim.y + threadIdx.y; + if (i >= nrow || j >= ncol) return; + b[j + i * stride] = a[j / step + (j % step) * orig_dim + i * stride]; +} + +__global__ void cudak_(scale_row)(const MATRIX_ELEM *a, MATRIX_ELEM *b, + int nrow, int ncol, + int stride) { + int j = blockIdx.x * blockDim.x + threadIdx.x; + int i = blockIdx.y * blockDim.y + threadIdx.y; + if (i >= nrow || j >= ncol) return; + b[j + i * stride] *= a[j]; +} extern "C" { #include "../cukernel.h" void cudak_(cuda_log_elem)(const Matrix *a, Matrix *b) { - dim3 threadsPerBlock(CUDA_THREADS_N, - CUDA_THREADS_N); + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), CEIL_DIV(b->nrow, threadsPerBlock.y)); cudak_(log_elem)<<<numBlocks, threadsPerBlock>>> \ @@ -169,8 +200,7 @@ extern "C" { void cudak_(cuda_mul_elem)(const Matrix *a, const Matrix *b, Matrix *c) { - dim3 threadsPerBlock(CUDA_THREADS_N, - CUDA_THREADS_N); + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), CEIL_DIV(b->nrow, threadsPerBlock.y)); cudak_(mul_elem)<<<numBlocks, threadsPerBlock>>> \ @@ -180,8 +210,7 @@ extern "C" { } void cudak_(cuda_sigmoid)(const Matrix *a, Matrix *b) { - dim3 threadsPerBlock(CUDA_THREADS_N, - CUDA_THREADS_N); + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), CEIL_DIV(b->nrow, threadsPerBlock.y)); cudak_(sigmoid)<<<numBlocks, threadsPerBlock>>> \ @@ -191,8 +220,7 @@ extern "C" { void cudak_(cuda_sigmoid_grad)(const Matrix *output, const Matrix *err, Matrix *nerr) { - dim3 threadsPerBlock(CUDA_THREADS_N, - CUDA_THREADS_N); + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); dim3 numBlocks(CEIL_DIV(nerr->ncol, threadsPerBlock.x), CEIL_DIV(nerr->nrow, threadsPerBlock.y)); cudak_(sigmoid_grad)<<<numBlocks, threadsPerBlock>>> \ @@ -248,8 +276,7 @@ extern "C" { void cudak_(cuda_softmax_final)(const Matrix *a, const Matrix *max, const Matrix *deno, Matrix *b) { - dim3 threadsPerBlock(CUDA_THREADS_N, - CUDA_THREADS_N); + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), CEIL_DIV(b->nrow, threadsPerBlock.y)); cudak_(softmax_final)<<<numBlocks, threadsPerBlock>>> \ @@ -310,8 +337,7 @@ extern "C" { /* in-place calc */ void cudak_(cuda_add_row)(const Matrix *a, Matrix *b, double beta) { - dim3 threadsPerBlock(CUDA_THREADS_N, - CUDA_THREADS_N); + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), CEIL_DIV(b->nrow, threadsPerBlock.y)); cudak_(add_row)<<<numBlocks, threadsPerBlock>>> \ @@ -320,13 +346,44 @@ extern "C" { } void cudak_(cuda_fill)(Matrix *a, double val) { - dim3 threadsPerBlock(CUDA_THREADS_N, - CUDA_THREADS_N); + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x), CEIL_DIV(a->nrow, threadsPerBlock.y)); cudak_(fill)<<<numBlocks, threadsPerBlock>>> \ (MATRIX_ELEM_PTR(a), a->nrow, a->ncol, a->stride / sizeof(MATRIX_ELEM), val); } + + void cudak_(cuda_expand_frm)(const Matrix *a, Matrix *b, int context) { + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); + dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), + CEIL_DIV(b->nrow, threadsPerBlock.y)); + cudak_(expand_frm)<<<numBlocks, threadsPerBlock>>> \ + (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b), + a->nrow, a->ncol, + b->nrow, b->ncol, + a->stride / sizeof(MATRIX_ELEM), + b->stride / sizeof(MATRIX_ELEM), + context); + } + + void cudak_(cuda_rearrange_frm)(const Matrix *a, Matrix *b, int step) { + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); + dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), + CEIL_DIV(b->nrow, threadsPerBlock.y)); + cudak_(rearrange_frm)<<<numBlocks, threadsPerBlock>>> \ + (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b), + b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM), + step, b->ncol / step); + } + + void cudak_(cuda_scale_row)(const Matrix *a, Matrix *b) { + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); + dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), + CEIL_DIV(b->nrow, threadsPerBlock.y)); + cudak_(scale_row)<<<numBlocks, threadsPerBlock>>> \ + (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b), + b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM)); + } } #endif |