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-rw-r--r--nerv/Makefile2
-rw-r--r--nerv/lib/matrix/cukernel.h2
-rw-r--r--nerv/lib/matrix/generic/cukernel.cu31
-rw-r--r--nerv/lib/matrix/generic/cumatrix.c15
-rw-r--r--nerv/lib/matrix/generic/matrix.c8
-rw-r--r--nerv/lib/matrix/matrix.h2
-rw-r--r--nerv/matrix/generic/cumatrix.c21
7 files changed, 80 insertions, 1 deletions
diff --git a/nerv/Makefile b/nerv/Makefile
index f154cc3..df6ce98 100644
--- a/nerv/Makefile
+++ b/nerv/Makefile
@@ -41,7 +41,7 @@ CUDA_BASE := /usr/local/cuda
CUDA_INCLUDE := -I $(CUDA_BASE)/include/
INCLUDE += $(CUDA_INCLUDE)
-LDFLAGS := -L$(CUDA_BASE)/lib64/ -Wl,-rpath=$(CUDA_BASE)/lib64/ -lcudart -lcublas
+LDFLAGS := -L$(CUDA_BASE)/lib64/ -Wl,-rpath=$(CUDA_BASE)/lib64/ -lcudart -lcublas -lcurand
CFLAGS := -Wall -Wextra -O2
NVCC := $(CUDA_BASE)/bin/nvcc
NVCC_FLAGS := -Xcompiler -fPIC,-Wall,-Wextra
diff --git a/nerv/lib/matrix/cukernel.h b/nerv/lib/matrix/cukernel.h
index 40f8e9f..47dc0a8 100644
--- a/nerv/lib/matrix/cukernel.h
+++ b/nerv/lib/matrix/cukernel.h
@@ -3,6 +3,8 @@ void cudak_(cuda_mul_elem)(const Matrix *a, const Matrix *b, Matrix *c);
void cudak_(cuda_log_elem)(const Matrix *a, Matrix *b);
void cudak_(cuda_sigmoid)(const Matrix *a, Matrix *b);
void cudak_(cuda_sigmoid_grad)(const Matrix *output, const Matrix *err, Matrix *nerr);
+void cudak_(cuda_rand_uniform)(const Matrix *a); //a's curand_gen may be modified
+void cudak_(cuda_thres_mask)(const Matrix *a, double thres, double low, double high);
void cudak_(cuda_tanh)(const Matrix *a, Matrix *b);
void cudak_(cuda_tanh_grad)(const Matrix *output, const Matrix *err, Matrix *nerr);
void cudak_(cuda_rowsum)(const Matrix *a, Matrix *b);
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),
diff --git a/nerv/lib/matrix/generic/cumatrix.c b/nerv/lib/matrix/generic/cumatrix.c
index 77cb304..cbb0481 100644
--- a/nerv/lib/matrix/generic/cumatrix.c
+++ b/nerv/lib/matrix/generic/cumatrix.c
@@ -10,6 +10,7 @@
#include "../../common.h"
#include "../cukernel.h"
#include "../cuda_helper.h"
+#include <curand.h>
void nerv_matrix_(add)(Matrix *c, const Matrix *a, const Matrix *b,
MATRIX_ELEM alpha, MATRIX_ELEM beta,
@@ -75,6 +76,20 @@ void nerv_matrix_(sigmoid_grad)(Matrix *nerr, const Matrix *err,
NERV_SET_STATUS(status, NERV_NORMAL, 0);
}
+void nerv_matrix_(rand_uniform)(Matrix *a, Status *status) {
+ PROFILE_START
+ cudak_(cuda_rand_uniform)(a);
+ PROFILE_STOP
+ NERV_SET_STATUS(status, NERV_NORMAL, 0);
+}
+
+void nerv_matrix_(thres_mask)(Matrix *a, double thres, double low, double high, Status *status) {
+ PROFILE_START
+ cudak_(cuda_thres_mask)(a, thres, low, high);
+ PROFILE_STOP
+ NERV_SET_STATUS(status, NERV_NORMAL, 0);
+}
+
void nerv_matrix_(tanh)(Matrix *a, const Matrix *b, Status *status) {
CHECK_SAME_DIMENSION(a, b, status);
PROFILE_START
diff --git a/nerv/lib/matrix/generic/matrix.c b/nerv/lib/matrix/generic/matrix.c
index 4246751..fd5d28f 100644
--- a/nerv/lib/matrix/generic/matrix.c
+++ b/nerv/lib/matrix/generic/matrix.c
@@ -10,6 +10,8 @@ void nerv_matrix_(data_free)(Matrix *self, Status *status) {
{
/* free matrix data */
MATRIX_DATA_FREE(MATRIX_ELEM_PTR(self), status);
+ curandDestroyGenerator(*(self->curand_gen));
+ free(self->curand_gen);
free(self->data_ref);
free(self);
}
@@ -39,6 +41,11 @@ Matrix *nerv_matrix_(create)(long nrow, long ncol, Status *status) {
}
self->data_ref = (long *)malloc(sizeof(long));
*self->data_ref = 0;
+
+ self->curand_gen = (curandGenerator_t*)malloc(sizeof(curandGenerator_t));
+ curandCreateGenerator(self->curand_gen, CURAND_RNG_PSEUDO_DEFAULT);
+ curandSetPseudoRandomGeneratorSeed(*(self->curand_gen), time(NULL));
+
nerv_matrix_(data_retain)(self);
NERV_SET_STATUS(status, NERV_NORMAL, 0);
return self;
@@ -57,6 +64,7 @@ Matrix *nerv_matrix_(getrow)(Matrix *self, int row) {
prow->nmax = prow->ncol;
MATRIX_ELEM_PTR(prow) = MATRIX_ROW_PTR(self, row);
prow->data_ref = self->data_ref;
+ prow->curand_gen = self->curand_gen;
nerv_matrix_(data_retain)(prow);
return prow;
}
diff --git a/nerv/lib/matrix/matrix.h b/nerv/lib/matrix/matrix.h
index 67a6e30..5a85c08 100644
--- a/nerv/lib/matrix/matrix.h
+++ b/nerv/lib/matrix/matrix.h
@@ -2,6 +2,7 @@
#define NERV_GENERIC_MATRIX_H
#include <stddef.h>
+#include <curand.h>
typedef struct Matrix {
size_t stride; /* size of a row */
@@ -13,6 +14,7 @@ typedef struct Matrix {
long *i;
} data; /* pointer to actual storage */
long *data_ref;
+ curandGenerator_t *curand_gen;
} Matrix;
#define MATRIX_ROW_PTR(self, row) \
diff --git a/nerv/matrix/generic/cumatrix.c b/nerv/matrix/generic/cumatrix.c
index 3d9e694..d1f763b 100644
--- a/nerv/matrix/generic/cumatrix.c
+++ b/nerv/matrix/generic/cumatrix.c
@@ -62,6 +62,25 @@ static int nerv_matrix_(lua_sigmoid_grad)(lua_State *L) {
return 0;
}
+static int nerv_matrix_(lua_thres_mask)(lua_State *L) {
+ Status status;
+ Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+ MATRIX_ELEM thres = luaL_checknumber(L, 2);
+ MATRIX_ELEM low = luaL_checknumber(L, 3);
+ MATRIX_ELEM high = luaL_checknumber(L, 4);
+ nerv_matrix_(thres_mask)(a, thres, low, high, &status);
+ NERV_LUA_CHECK_STATUS(L, status);
+ return 0;
+}
+
+static int nerv_matrix_(lua_rand_uniform)(lua_State *L) {
+ Status status;
+ Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+ nerv_matrix_(rand_uniform)(a, &status);
+ NERV_LUA_CHECK_STATUS(L, status);
+ return 0;
+}
+
static int nerv_matrix_(lua_tanh)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
@@ -349,9 +368,11 @@ static const luaL_Reg nerv_matrix_(extra_methods)[] = {
{"sigmoid_grad", nerv_matrix_(lua_sigmoid_grad)},
{"tanh", nerv_matrix_(lua_tanh)},
{"tanh_grad", nerv_matrix_(lua_tanh_grad)},
+ {"rand_uniform", nerv_matrix_(lua_rand_uniform)},
{"softmax", nerv_matrix_(lua_softmax)},
{"mul_elem", nerv_matrix_(lua_mul_elem)},
{"log_elem", nerv_matrix_(lua_log_elem)},
+ {"thres_mask", nerv_matrix_(lua_thres_mask)},
{"copy_rows_fromh_by_idx", nerv_matrix_(lua_copy_rows_fromh_by_idx)},
{"copy_rows_fromd_by_idx", nerv_matrix_(lua_copy_rows_fromd_by_idx)},
{"expand_frm", nerv_matrix_(lua_expand_frm)},
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