summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
Diffstat
-rw-r--r--Makefile1
-rw-r--r--nerv/Makefile2
-rw-r--r--nerv/matrix/generic/cukernel.cu592
m---------speech0
4 files changed, 2 insertions, 593 deletions
diff --git a/Makefile b/Makefile
index fa888c3..664a83b 100644
--- a/Makefile
+++ b/Makefile
@@ -9,6 +9,7 @@ luarocks:
install:
cd nerv; $(PREFIX)/bin/luarocks make
speech:
+ cd speech/speech_utils; $(PREFIX)/bin/luarocks make
cd speech/htk_io; $(PREFIX)/bin/luarocks make
clean:
cd nerv && make clean
diff --git a/nerv/Makefile b/nerv/Makefile
index fdffd12..728d010 100644
--- a/nerv/Makefile
+++ b/nerv/Makefile
@@ -66,7 +66,7 @@ $(LIB_PATH)/libluaT.so: $(LUAT_OBJS)
$(INST_LIBDIR)/libnerv.so: $(NERV_OBJS) $(LIB_PATH)/libnervcore.so $(LIB_PATH)/libluaT.so
gcc -shared -o $@ $(NERV_OBJS) $(LDFLAGS) -Wl,-rpath=$(LIB_PATH) -L$(LIB_PATH) -lnervcore -lluaT
-$(OBJ_DIR)/matrix/cumatrix.o: matrix/generic/cumatrix.c matrix/generic/matrix.c matrix/generic/cukernel.cu
+$(OBJ_DIR)/matrix/cumatrix.o: matrix/generic/cumatrix.c matrix/generic/matrix.c
$(OBJ_DIR)/matrix/mmatrix.o: matrix/generic/mmatrix.c matrix/generic/matrix.c
$(OBJ_DIR)/lib/matrix/cumatrix.o: lib/matrix/generic/cumatrix.c lib/matrix/generic/matrix.c lib/matrix/generic/cukernel.cu
diff --git a/nerv/matrix/generic/cukernel.cu b/nerv/matrix/generic/cukernel.cu
deleted file mode 100644
index 2ae5e62..0000000
--- a/nerv/matrix/generic/cukernel.cu
+++ /dev/null
@@ -1,592 +0,0 @@
-#ifdef NERV_GENERIC_CUKERNEL
-#include <assert.h>
-#include <stdio.h>
-#include "matrix.h"
-#include "cuda.h"
-#include "float.h"
-#define CUDA_THREADS_N 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) {
- int j = blockIdx.x * blockDim.x + threadIdx.x;
- int i = blockIdx.y * blockDim.y + threadIdx.y;
- long idx;
- MATRIX_ELEM tmp;
- if (i >= nrow || j >= ncol) return;
- idx = j + i * stride;
- tmp = a[idx];
- if(tmp < FLT_MIN) tmp = FLT_MIN;
- b[idx] = log(tmp);
-}
-
-__global__ void cudak_(mul_elem)(const MATRIX_ELEM *a, const MATRIX_ELEM *b,
- MATRIX_ELEM *c,
- 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;
- c[idx] = a[idx] * b[idx];
-}
-
-__global__ void cudak_(sigmoid)(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;
- long idx;
- if (i >= nrow || j >= ncol) return;
- idx = j + i * stride;
- b[idx] = 1.0 / (1.0 + exp(-a[idx]));
-}
-
-__global__ void cudak_(sigmoid_grad)(const MATRIX_ELEM *output,
- const MATRIX_ELEM *err,
- MATRIX_ELEM *nerr,
- 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;
- nerr[idx] = output[idx] * (1.0 - output[idx]) * err[idx];
-}
-
-__global__ void cudak_(softmax_final)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
- const MATRIX_ELEM *max, const MATRIX_ELEM *deno,
- int nrow, int ncol, int stride, int mstride) {
- 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;
- b[idx] = exp(a[idx] - max[0 + i * mstride]) / deno[0 + i * mstride];
-}
-
-__global__ void cudak_(block_reduce_rowsum)(const MATRIX_ELEM *input,
- MATRIX_ELEM *output,
- const int istride, const int ostride,
- const int n) {
- extern __shared__ MATRIX_ELEM cudak_(arr)[];
- int j = blockIdx.x * blockDim.x + threadIdx.x;
- cudak_(arr)[threadIdx.x] = j < n ? input[j + istride * blockIdx.y] : 0;
- __syncthreads();
- for (int offset = blockDim.x >> 1; offset; offset >>= 1)
- {
- if (threadIdx.x < offset)
- cudak_(arr)[threadIdx.x] += cudak_(arr)[threadIdx.x + offset];
- __syncthreads();
- }
- if (threadIdx.x == 0)
- output[blockIdx.x + ostride * blockIdx.y] = cudak_(arr)[0];
-}
-
-__global__ void cudak_(block_reduce_colsum)(const MATRIX_ELEM *input,
- MATRIX_ELEM *output,
- const int istride, const int ostride,
- const int n) {
- extern __shared__ MATRIX_ELEM cudak_(arr)[];
- int i = blockIdx.y * blockDim.y + threadIdx.y;
- cudak_(arr)[threadIdx.y] = i < n ? input[blockIdx.x + istride * i] : 0;
- __syncthreads();
- for (int offset = blockDim.y >> 1; offset; offset >>= 1)
- {
- if (threadIdx.y < offset)
- cudak_(arr)[threadIdx.y] += cudak_(arr)[threadIdx.y + offset];
- __syncthreads();
- }
- if (threadIdx.y == 0)
- output[blockIdx.x + ostride * blockIdx.y] = cudak_(arr)[0];
-}
-
-__global__ void cudak_(block_reduce_colsame)(const MATRIX_ELEM *input,
- const MATRIX_ELEM *ref_input,
- MATRIX_ELEM *output,
- const int istride, const int ostride,
- const int n) {
- extern __shared__ MATRIX_ELEM cudak_(arr)[];
- int i = blockIdx.y * blockDim.y + threadIdx.y;
- cudak_(arr)[threadIdx.y] = (i < n && input[blockIdx.x + istride * i] == \
- ref_input[blockIdx.x + istride * i]) ? 1.0 : 0;
- __syncthreads();
- for (int offset = blockDim.y >> 1; offset; offset >>= 1)
- {
- if (threadIdx.y < offset)
- cudak_(arr)[threadIdx.y] += cudak_(arr)[threadIdx.y + offset];
- __syncthreads();
- }
- if (threadIdx.y == 0)
- output[blockIdx.x + ostride * blockIdx.y] = cudak_(arr)[0];
-}
-
-__global__ void cudak_(block_reduce_softmax_rowsum)(const MATRIX_ELEM *input,
- MATRIX_ELEM *output,
- const MATRIX_ELEM *max,
- const int istride, const int ostride,
- const int mstride, const int n) {
- extern __shared__ MATRIX_ELEM cudak_(arr)[];
- int j = blockIdx.x * blockDim.x + threadIdx.x;
- cudak_(arr)[threadIdx.x] = j < n ? exp(input[j + istride * blockIdx.y] - \
- max[0 + mstride * blockIdx.y]) : 0;
- __syncthreads();
- for (int offset = blockDim.x >> 1; offset; offset >>= 1)
- {
- if (threadIdx.x < offset)
- cudak_(arr)[threadIdx.x] += cudak_(arr)[threadIdx.x + offset];
- __syncthreads();
- }
- if (threadIdx.x == 0)
- output[blockIdx.x + ostride * blockIdx.y] = cudak_(arr)[0];
-}
-
-__global__ void cudak_(block_reduce_rowmax)(const MATRIX_ELEM *input,
- MATRIX_ELEM *output,
- const int istride, const int ostride,
- const int n) {
- extern __shared__ MATRIX_ELEM cudak_(arr)[];
- int j = blockIdx.x * blockDim.x + threadIdx.x;
- cudak_(arr)[threadIdx.x] = j < n ? input[j + istride * blockIdx.y] : -FLT_MAX;
- __syncthreads();
- for (int offset = blockDim.x >> 1; offset; offset >>= 1)
- {
- if (threadIdx.x < offset)
- {
- MATRIX_ELEM l = cudak_(arr)[threadIdx.x],
- r = cudak_(arr)[threadIdx.x + offset];
- if (r > l)
- cudak_(arr)[threadIdx.x] = r;
- }
- __syncthreads();
- }
- if (threadIdx.x == 0)
- output[blockIdx.x + ostride * blockIdx.y] = cudak_(arr)[0];
-}
-
-__global__ void cudak_(block_reduce_rowmax_idx)(const MATRIX_ELEM *input,
- const MATRIX_ELEM *idx_input,
- MATRIX_ELEM *output,
- MATRIX_ELEM *idx_output,
- const int istride, const int ostride,
- const int n) {
- extern __shared__ MATRIX_ELEM cudak_(arr)[];
- MATRIX_ELEM *arr_val = cudak_(arr);
- MATRIX_ELEM *arr_idx = arr_val + blockDim.x;
- int j = blockIdx.x * blockDim.x + threadIdx.x;
- arr_val[threadIdx.x] = j < n ? input[j + istride * blockIdx.y] : -FLT_MAX;
- arr_idx[threadIdx.x] = j < n ? idx_input[j + istride * blockIdx.y] : 0;
- __syncthreads();
- for (int offset = blockDim.x >> 1; offset; offset >>= 1)
- {
- if (threadIdx.x < offset)
- {
- MATRIX_ELEM l = arr_val[threadIdx.x],
- r = arr_val[threadIdx.x + offset];
- if (r > l)
- {
- arr_val[threadIdx.x] = r;
- arr_idx[threadIdx.x] = arr_idx[threadIdx.x + offset];
- }
- }
- __syncthreads();
- }
- if (threadIdx.x == 0)
- {
- output[blockIdx.x + ostride * blockIdx.y] = arr_val[0];
- idx_output[blockIdx.x + ostride * blockIdx.y] = arr_idx[0];
- }
-}
-
-__global__ void cudak_(add_row)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
- int nrow, int ncol, int stride, double beta) {
- 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] += beta * a[j];
-}
-
-__global__ void cudak_(fill)(MATRIX_ELEM *a,
- int nrow, int ncol, int stride, double val) {
- int j = blockIdx.x * blockDim.x + threadIdx.x;
- int i = blockIdx.y * blockDim.y + threadIdx.y;
- if (i >= nrow || j >= ncol) return;
- a[j + i * stride] = val;
-}
-
-__global__ void cudak_(clip)(MATRIX_ELEM *a,
- int nrow, int ncol, int stride, double val_1, double val_2) {
- int j = blockIdx.x * blockDim.x + threadIdx.x;
- int i = blockIdx.y * blockDim.y + threadIdx.y;
- if (i >= nrow || j >= ncol) return;
- if (a[j + i * stride] > val_2)
- a[j + i * stride] = val_2;
- else if (a[j + i * stride] < val_1)
- a[j + i * stride] = val_1;
-}
-
-__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_rows_by_col)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
- int nrow, int ncol,
- int astride, int bstride) {
- 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 * bstride] *= a[i * astride];
-}
-
-__global__ void cudak_(scale_rows_by_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];
-}
-
-__global__ void cudak_(decompress)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
- int nrow, int ncol,
- int stride_a, int stride_b) {
- int j = blockIdx.x * blockDim.x + threadIdx.x;
- int i = blockIdx.y * blockDim.y + threadIdx.y;
- if (i >= nrow || j >= ncol) return;
- b[lrintf(a[j + i * stride_a]) + i * stride_b] = 1.0;
-}
-
-__global__ void cudak_(gen_col_idx)(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] = 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 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
- CEIL_DIV(b->nrow, threadsPerBlock.y));
- cudak_(log_elem)<<<numBlocks, threadsPerBlock>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
- b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM));
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_mul_elem)(const Matrix *a, const Matrix *b,
- Matrix *c) {
- 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>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
- MATRIX_ELEM_PTR(c),
- b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM));
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_sigmoid)(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_(sigmoid)<<<numBlocks, threadsPerBlock>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b), b->nrow, b->ncol,
- b->stride / sizeof(MATRIX_ELEM));
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_sigmoid_grad)(const Matrix *output,
- const Matrix *err, Matrix *nerr) {
- 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>>> \
- (MATRIX_ELEM_PTR(output), MATRIX_ELEM_PTR(err),
- MATRIX_ELEM_PTR(nerr),
- nerr->nrow, nerr->ncol,
- nerr->stride / sizeof(MATRIX_ELEM));
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_rowsum)(const Matrix *a, Matrix *b) {
- dim3 block(CUDA_THREADS_NN, 1);
- int ncol = a->ncol;
- int blocks_per_row = CEIL_DIV(ncol, block.x);
- dim3 grid(blocks_per_row, a->nrow);
- MATRIX_ELEM *res;
- size_t stride;
- cudaMallocPitch(&res, &stride, blocks_per_row * sizeof(MATRIX_ELEM), a->nrow);
- cudak_(block_reduce_rowsum)<<<grid, block, block.x * sizeof(MATRIX_ELEM)>>> \
- (MATRIX_ELEM_PTR(a), res,
- a->stride / sizeof(MATRIX_ELEM), stride / sizeof(MATRIX_ELEM),
- ncol);
- ncol = blocks_per_row;
- assert((unsigned long)ncol <= block.x);
- grid.x = 1;
- cudaStreamSynchronize(0);
- cudak_(block_reduce_rowsum)<<<grid, block, block.x * sizeof(MATRIX_ELEM)>>> \
- (res, MATRIX_ELEM_PTR(b),
- stride / sizeof(MATRIX_ELEM), b->stride / sizeof(MATRIX_ELEM),
- ncol);
- cudaStreamSynchronize(0);
- cudaFree(res);
- }
-
- void cudak_(cuda_colsame)(const Matrix *a, const Matrix *ref, Matrix *b) {
- dim3 block(1, CUDA_THREADS_NN);
- int nrow = a->nrow;
- int blocks_per_col = CEIL_DIV(nrow, block.y);
- dim3 grid(a->ncol, blocks_per_col);
- MATRIX_ELEM *res;
- size_t stride;
- cudaMallocPitch(&res, &stride, a->ncol * sizeof(MATRIX_ELEM), blocks_per_col);
- cudak_(block_reduce_colsame)<<<grid, block, block.y * sizeof(MATRIX_ELEM)>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(ref), res,
- a->stride / sizeof(MATRIX_ELEM), stride / sizeof(MATRIX_ELEM),
- nrow);
- nrow = blocks_per_col;
- assert((unsigned long)nrow <= block.y);
- grid.y = 1;
- cudaStreamSynchronize(0);
- cudak_(block_reduce_colsum)<<<grid, block, block.y * sizeof(MATRIX_ELEM)>>> \
- (res, MATRIX_ELEM_PTR(b),
- stride / sizeof(MATRIX_ELEM), b->stride / sizeof(MATRIX_ELEM),
- nrow);
- cudaStreamSynchronize(0);
- cudaFree(res);
- }
-
- void cudak_(cuda_colsum)(const Matrix *a, Matrix *b) {
- dim3 block(1, CUDA_THREADS_NN);
- int nrow = a->nrow;
- int blocks_per_col = CEIL_DIV(nrow, block.y);
- dim3 grid(a->ncol, blocks_per_col);
- MATRIX_ELEM *res;
- size_t stride;
- cudaMallocPitch(&res, &stride, a->ncol * sizeof(MATRIX_ELEM), blocks_per_col);
- cudak_(block_reduce_colsum)<<<grid, block, block.y * sizeof(MATRIX_ELEM)>>> \
- (MATRIX_ELEM_PTR(a), res,
- a->stride / sizeof(MATRIX_ELEM), stride / sizeof(MATRIX_ELEM),
- nrow);
- nrow = blocks_per_col;
- assert((unsigned long)nrow <= block.y);
- grid.y = 1;
- cudaStreamSynchronize(0);
- cudak_(block_reduce_colsum)<<<grid, block, block.y * sizeof(MATRIX_ELEM)>>> \
- (res, MATRIX_ELEM_PTR(b),
- stride / sizeof(MATRIX_ELEM), b->stride / sizeof(MATRIX_ELEM),
- nrow);
- cudaStreamSynchronize(0);
- cudaFree(res);
- }
-
- 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 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
- CEIL_DIV(b->nrow, threadsPerBlock.y));
- cudak_(softmax_final)<<<numBlocks, threadsPerBlock>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
- MATRIX_ELEM_PTR(max), MATRIX_ELEM_PTR(deno),
- b->nrow, b->ncol,
- b->stride / sizeof(MATRIX_ELEM),
- max->stride / sizeof(MATRIX_ELEM));
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_softmax_denominator)(const Matrix *a, const Matrix *max, Matrix *b) {
- dim3 block(CUDA_THREADS_NN, 1);
- int ncol = a->ncol;
- int blocks_per_row = CEIL_DIV(ncol, block.x);
- dim3 grid(blocks_per_row, a->nrow);
- MATRIX_ELEM *res;
- size_t stride;
- assert(max->ncol == 1);
- cudaMallocPitch(&res, &stride, blocks_per_row * sizeof(MATRIX_ELEM), a->nrow);
- cudak_(block_reduce_softmax_rowsum) \
- <<<grid, block, block.x * sizeof(MATRIX_ELEM)>>> \
- (MATRIX_ELEM_PTR(a), res, MATRIX_ELEM_PTR(max),
- a->stride / sizeof(MATRIX_ELEM), stride / sizeof(MATRIX_ELEM),
- max->stride / sizeof(MATRIX_ELEM),
- ncol);
- ncol = blocks_per_row;
- assert((unsigned long)ncol <= block.x);
- grid.x = 1;
- cudaStreamSynchronize(0);
- cudak_(block_reduce_rowsum) \
- <<<grid, block, block.x * sizeof(MATRIX_ELEM)>>> \
- (res, MATRIX_ELEM_PTR(b),
- stride / sizeof(MATRIX_ELEM), b->stride / sizeof(MATRIX_ELEM),
- ncol);
- cudaStreamSynchronize(0);
- cudaFree(res);
- }
-
- void cudak_(cuda_rowmax)(const Matrix *a, Matrix *b) {
- dim3 block(CUDA_THREADS_NN, 1);
- int ncol = a->ncol;
- int blocks_per_row = CEIL_DIV(ncol, block.x);
- dim3 grid(blocks_per_row, a->nrow);
- MATRIX_ELEM *res;
- size_t stride;
- cudaMallocPitch(&res, &stride, blocks_per_row * sizeof(MATRIX_ELEM), a->nrow);
- cudak_(block_reduce_rowmax)<<<grid, block, block.x * sizeof(MATRIX_ELEM)>>> \
- (MATRIX_ELEM_PTR(a), res,
- a->stride / sizeof(MATRIX_ELEM), stride / sizeof(MATRIX_ELEM),
- ncol);
- ncol = blocks_per_row;
- assert((unsigned long)ncol <= block.x);
- grid.x = 1;
- cudaStreamSynchronize(0);
- cudak_(block_reduce_rowmax)<<<grid, block, block.x * sizeof(MATRIX_ELEM)>>> \
- (res, MATRIX_ELEM_PTR(b),
- stride / sizeof(MATRIX_ELEM), b->stride / sizeof(MATRIX_ELEM),
- ncol);
- cudaStreamSynchronize(0);
- cudaFree(res);
- }
-
- void cudak_(cuda_rowmax_idx)(const Matrix *a, Matrix *b, Matrix *b_idx) {
- dim3 block(CUDA_THREADS_NN, 1);
- int ncol = a->ncol;
- int blocks_per_row = CEIL_DIV(ncol, block.x);
- dim3 grid(blocks_per_row, a->nrow);
- MATRIX_ELEM *a_idx, *res, *res_idx;
- size_t stride;
- cudaMallocPitch(&a_idx, &stride, a->stride, a->nrow);
- cudak_(gen_col_idx)<<<grid, block>>>(a_idx, a->nrow, ncol, stride / sizeof(MATRIX_ELEM));
- cudaMallocPitch(&res, &stride, blocks_per_row * sizeof(MATRIX_ELEM), a->nrow);
- cudaMallocPitch(&res_idx, &stride, blocks_per_row * sizeof(MATRIX_ELEM), a->nrow);
- cudaStreamSynchronize(0);
- cudak_(block_reduce_rowmax_idx)<<<grid, block,
- 2 * block.x * sizeof(MATRIX_ELEM)>>> \
- (MATRIX_ELEM_PTR(a), a_idx, res, res_idx,
- a->stride / sizeof(MATRIX_ELEM), stride / sizeof(MATRIX_ELEM),
- ncol);
- ncol = blocks_per_row;
- assert((unsigned long)ncol <= block.x);
- grid.x = 1;
- cudaStreamSynchronize(0);
- cudak_(block_reduce_rowmax_idx)<<<grid, block,
- 2 * block.x * sizeof(MATRIX_ELEM)>>> \
- (res, res_idx, MATRIX_ELEM_PTR(b), MATRIX_ELEM_PTR(b_idx),
- stride / sizeof(MATRIX_ELEM), b->stride / sizeof(MATRIX_ELEM),
- ncol);
- cudaStreamSynchronize(0);
- cudaFree(a_idx);
- cudaFree(res);
- cudaFree(res_idx);
- }
-
- /* in-place calc */
- void cudak_(cuda_add_row)(const Matrix *a, Matrix *b, double beta) {
- 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>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b), b->nrow, b->ncol,
- b->stride / sizeof(MATRIX_ELEM), beta);
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_fill)(Matrix *a, double val) {
- 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);
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_clip)(Matrix *a, double val_1, double val_2) {
- dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
- dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x),
- CEIL_DIV(a->nrow, threadsPerBlock.y));
- cudak_(clip)<<<numBlocks, threadsPerBlock>>> \
- (MATRIX_ELEM_PTR(a), a->nrow, a->ncol,
- a->stride / sizeof(MATRIX_ELEM), val_1, val_2);
- cudaStreamSynchronize(0);
- }
-
- 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);
- cudaStreamSynchronize(0);
- }
-
- 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);
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_scale_rows_by_col)(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_rows_by_col)<<<numBlocks, threadsPerBlock>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
- b->nrow, b->ncol,
- a->stride / sizeof(MATRIX_ELEM),
- b->stride / sizeof(MATRIX_ELEM));
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_scale_rows_by_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_rows_by_row)<<<numBlocks, threadsPerBlock>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
- b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM));
- cudaStreamSynchronize(0);
- }
-
- void cudak_(cuda_decompress)(const Matrix *a, Matrix *b) {
- dim3 threadsPerBlock(1, CUDA_THREADS_NN);
- dim3 numBlocks(1, CEIL_DIV(a->nrow, threadsPerBlock.y));
- cudak_(decompress)<<<numBlocks, threadsPerBlock>>> \
- (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
- a->nrow, a->ncol,
- a->stride / sizeof(MATRIX_ELEM),
- b->stride / sizeof(MATRIX_ELEM));
- cudaStreamSynchronize(0);
- }
-}
-#endif
diff --git a/speech b/speech
-Subproject 08e33afa533af1f026ac271446a0c873fe0bb5c
+Subproject acd1bc3cf812f69a6260179b584f2a3f0e6d6b8
Powered by cgit, Themed by Ted Yin.