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authortxh18 <[email protected]>2015-11-23 15:34:05 +0800
committertxh18 <[email protected]>2015-11-23 15:34:05 +0800
commitfee96e3d2cb39c6e2b4631b9d8b37b9949df27e7 (patch)
tree18493f755fedd928f5225d435875cd440342d255 /nerv/lib
parentcb4f01b67c3bbbfef8eee8902210b75957add62f (diff)
parent6d66b73e49e3a3e41a1fb92d5180163f45ff6253 (diff)
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'nerv/lib')
-rw-r--r--nerv/lib/matrix/cukernel.cu36
-rw-r--r--nerv/lib/matrix/generic/cukernel.cu8
-rw-r--r--nerv/lib/matrix/generic/cumatrix.c2
3 files changed, 45 insertions, 1 deletions
diff --git a/nerv/lib/matrix/cukernel.cu b/nerv/lib/matrix/cukernel.cu
index a19030a..210e6bf 100644
--- a/nerv/lib/matrix/cukernel.cu
+++ b/nerv/lib/matrix/cukernel.cu
@@ -1,5 +1,41 @@
#define NERV_GENERIC_CUKERNEL
+#include "cumatrix.h"
+
+#ifdef __NERV_FUTURE_CUDA_7
+__device__ double atomicAdd_nvidia(double* address, double val) {
+ /* nvidia provided this implementation
+ atmoicAdd is not included in CUDA for double */
+ unsigned long long int* address_as_ull =
+ (unsigned long long int*)address;
+ unsigned long long int old = *address_as_ull, assumed;
+ do {
+ assumed = old;
+ old = atomicCAS(address_as_ull, assumed,
+ __double_as_longlong(val +
+ __longlong_as_double(assumed)));
+ } while (assumed != old);
+ return __longlong_as_double(old);
+}
+
+__device__ float atomicAdd_nvidia(float* address, float val) {
+ /* nvidia provided this implementation
+ I tried the included atomocAdd, but the select_liner layer result seems
+ unreproduceable, but sadly, even if I used this implementation, the
+ select_linear layer result is still unreproduceable */
+ int* address_as_ull = (int*)address;
+ int old = *address_as_ull, assumed;
+ do {
+ assumed = old;
+ old = atomicCAS(address_as_ull, assumed,
+ __float_as_int(val +
+ __int_as_float(assumed)));
+ } while (assumed != old);
+ return __int_as_float(old);
+}
+#endif
+
+
#define cudak_(NAME) cudak_float_ ## NAME
#define MATRIX_USE_FLOAT
#include "generic/elem_type.h"
diff --git a/nerv/lib/matrix/generic/cukernel.cu b/nerv/lib/matrix/generic/cukernel.cu
index d042d48..e58c488 100644
--- a/nerv/lib/matrix/generic/cukernel.cu
+++ b/nerv/lib/matrix/generic/cukernel.cu
@@ -225,14 +225,18 @@ __global__ void cudak_(clip)(MATRIX_ELEM *a,
a[j + i * stride] = val_1;
}
+#ifdef __NERV_FUTURE_CUDA_7
__global__ void cudak_(update_select_rows)(MATRIX_ELEM *c, const MATRIX_ELEM *a, const MATRIX_ELEM *idx,
int nrow_a, int ncol_a, int stride_c, int stride_a, double alpha, double beta) {
int j = blockIdx.x * blockDim.x + threadIdx.x;
int i = blockIdx.y * blockDim.y + threadIdx.y;
if (i >= nrow_a || j >= ncol_a) return;
int i_c = lrintf(idx[i]);
- c[j + i_c * stride_c] = c[j + i_c * stride_c] * (1 - beta * alpha) + a[j + i * stride_a] * alpha;
+ //critical: i_c could conflict among threads(same index in the idx array), so atomicAdd is used
+ //c[j + i_c * stride_c] = c[j + i_c * stride_c] * (1 - beta * alpha) + a[j + i * stride_a] * alpha;
+ atomicAdd_nvidia(c + j + i_c * stride_c, c[j + i_c * stride_c] * (- beta * alpha) + a[j + i * stride_a] * alpha);
}
+#endif
__global__ void cudak_(expand_frm)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
int nrow, int ncol,
@@ -550,6 +554,7 @@ extern "C" {
cudaStreamSynchronize(0);
}
+#ifdef __NERV_FUTURE_CUDA_7
void cudak_(cuda_update_select_rows)(Matrix *c, const Matrix *a, const Matrix *idx, double alpha, double beta) {
dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x),
@@ -560,6 +565,7 @@ extern "C" {
a->stride / sizeof(MATRIX_ELEM), alpha, beta);
cudaStreamSynchronize(0);
}
+#endif
void cudak_(cuda_expand_frm)(const Matrix *a, Matrix *b, int context) {
dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
diff --git a/nerv/lib/matrix/generic/cumatrix.c b/nerv/lib/matrix/generic/cumatrix.c
index 2dc5899..00af895 100644
--- a/nerv/lib/matrix/generic/cumatrix.c
+++ b/nerv/lib/matrix/generic/cumatrix.c
@@ -359,6 +359,7 @@ void nerv_matrix_(copy_rows_fromd_by_idx)(Matrix *a, const Matrix *b,
NERV_SET_STATUS(status, NERV_NORMAL, 0);
}
+#ifdef __NERV_FUTURE_CUDA_7
void nerv_matrix_(update_select_rows)(Matrix *c, const Matrix *a, const Matrix *idx, double alpha, double beta, Status *status) {
long nrow = a->nrow;
if (idx->nrow != 1)
@@ -370,6 +371,7 @@ void nerv_matrix_(update_select_rows)(Matrix *c, const Matrix *a, const Matrix *
PROFILE_STOP
NERV_SET_STATUS(status, NERV_NORMAL, 0);
}
+#endif
void nerv_matrix_(expand_frm)(Matrix *a, const Matrix *b,
int context, Status *status) {