diff options
author | txh18 <cloudygooseg@gmail.com> | 2015-12-01 21:39:16 +0800 |
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committer | txh18 <cloudygooseg@gmail.com> | 2015-12-01 21:39:16 +0800 |
commit | 0c286aa6237da9e8daa7db8ed1e3805a33312926 (patch) | |
tree | 9f9f8619aeb717e21b7fd51c30fac1cfbd06a3cb /nerv/lib/matrix/generic/cukernel.cu | |
parent | 910fd4a25527028414d6cc3b2b620c74e9d06e8c (diff) |
added rand_uniform and thres_mask for cumatrix
Diffstat (limited to 'nerv/lib/matrix/generic/cukernel.cu')
-rw-r--r-- | nerv/lib/matrix/generic/cukernel.cu | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/nerv/lib/matrix/generic/cukernel.cu b/nerv/lib/matrix/generic/cukernel.cu index 1a20b4f..b092e4a 100644 --- a/nerv/lib/matrix/generic/cukernel.cu +++ b/nerv/lib/matrix/generic/cukernel.cu @@ -20,6 +20,19 @@ __global__ void cudak_(log_elem)(const MATRIX_ELEM *a, MATRIX_ELEM *b, b[idx] = log(tmp); } +__global__ void cudak_(thres_mask)(MATRIX_ELEM *a, double thres, double low, double high, + int nrow, int ncol, int stride) { + int j = blockIdx.x * blockDim.x + threadIdx.x; + int i = blockIdx.y * blockDim.y + threadIdx.y; + long idx; + if (i >= nrow || j >= ncol) return; + idx = j + i * stride; + if (a[idx] < thres) + a[idx] = low; + else + a[idx] = high; +} + __global__ void cudak_(mul_elem)(const MATRIX_ELEM *a, const MATRIX_ELEM *b, MATRIX_ELEM *c, int nrow, int ncol, int stride) { @@ -376,6 +389,24 @@ extern "C" { cudaStreamSynchronize(0); } + void cudak_(cuda_rand_uniform)(Matrix *a) { + #ifdef MATRIX_USE_FLOAT + curandGenerateUniform(*(a->curand_gen), MATRIX_ELEM_PTR(a), a->nrow * a->stride / sizeof(MATRIX_ELEM)); + #endif + #ifdef MATRIX_USE_DOUBLE + curandGenerateUniformDouble(*(a->curand_gen), MATRIX_ELEM_PTR(a), a->nrow * a->stride / sizeof(MATRIX_ELEM)); + #endif + } + + void cudak_(cuda_thres_mask)(const Matrix *a, double thres, double low, double high) { + dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); + dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x), + CEIL_DIV(a->nrow, threadsPerBlock.y)); + cudak_(thres_mask)<<<numBlocks, threadsPerBlock>>> \ + (MATRIX_ELEM_PTR(a), thres, low, high, a->nrow, a->ncol, a->stride / sizeof(MATRIX_ELEM)); + cudaStreamSynchronize(0); + } + void cudak_(cuda_tanh)(const Matrix *a, Matrix *b) { dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N); dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), |