vbatts/llama.cpp
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Fix possible synchronization issue

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Slaren 2023-04-19 23:01:53 +02:00
parent 891af05e7d
commit 95cf9597aa
3 changed files with 19 additions and 18 deletions
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20
ggml-cuda.cu
View file

@ -1,6 +1,6 @@
#include <stdint.h>
#include "ggml-cuda.h"
#include <cuda_fp16.h>
#include "ggml-cuda.h"
typedef uint16_t ggml_fp16_t;
static_assert(sizeof(__half) == sizeof(ggml_fp16_t), "wrong fp16 size");
@ -31,7 +31,7 @@ static_assert(sizeof(block_q4_2) == sizeof(ggml_fp16_t) + QK4_2 / 2, "wrong q4_2
static __global__ void dequantize_block_q4_0(const void * vx, float * y) {
const block_q4_0 * x = (const block_q4_0 *) vx;
int i = blockIdx.x;
const int i = blockIdx.x;
const float d = x[i].d;
@ -54,7 +54,7 @@ static __global__ void dequantize_block_q4_0(const void * vx, float * y) {
static __global__ void dequantize_block_q4_1(const void * vx, float * y) {
const block_q4_1 * x = (const block_q4_1 *) vx;
int i = blockIdx.x;
const int i = blockIdx.x;
const float d = x[i].d;
const float m = x[i].m;
@ -78,7 +78,7 @@ static __global__ void dequantize_block_q4_1(const void * vx, float * y) {
static __global__ void dequantize_block_q4_2(const void * vx, float * y) {
const block_q4_2 * x = (const block_q4_2 *) vx;
int i = blockIdx.x;
const int i = blockIdx.x;
const float d = x[i].d;
@ -99,18 +99,18 @@ static __global__ void dequantize_block_q4_2(const void * vx, float * y) {
}
extern "C" {
__host__ void dequantize_row_q4_0_cuda(const void * vx, float * y, int k) {
__host__ void dequantize_row_q4_0_cuda(const void * vx, float * y, int k, cudaStream_t stream) {
const int nb = k / QK4_0;
dequantize_block_q4_0<<<nb, 1>>>(vx, y);
dequantize_block_q4_0<<<nb, 1, 0, stream>>>(vx, y);
}
__host__ void dequantize_row_q4_1_cuda(const void * vx, float * y, int k) {
__host__ void dequantize_row_q4_1_cuda(const void * vx, float * y, int k, cudaStream_t stream) {
const int nb = k / QK4_1;
dequantize_block_q4_1<<<nb, 1>>>(vx, y);
dequantize_block_q4_1<<<nb, 1, 0, stream>>>(vx, y);
}
__host__ void dequantize_row_q4_2_cuda(const void * vx, float * y, int k) {
__host__ void dequantize_row_q4_2_cuda(const void * vx, float * y, int k, cudaStream_t stream) {
const int nb = k / QK4_2;
dequantize_block_q4_2<<<nb, 1>>>(vx, y);
dequantize_block_q4_2<<<nb, 1, 0, stream>>>(vx, y);
}
}

6
ggml-cuda.h
View file

@ -2,9 +2,9 @@
extern "C" {
#endif
void dequantize_row_q4_0_cuda(const void * vx, float * y, int k);
void dequantize_row_q4_1_cuda(const void * vx, float * y, int k);
void dequantize_row_q4_2_cuda(const void * vx, float * y, int k);
void dequantize_row_q4_0_cuda(const void * vx, float * y, int k, cudaStream_t stream);
void dequantize_row_q4_1_cuda(const void * vx, float * y, int k, cudaStream_t stream);
void dequantize_row_q4_2_cuda(const void * vx, float * y, int k, cudaStream_t stream);
#ifdef __cplusplus
}

11
ggml.c
View file

@ -178,6 +178,7 @@ static void init_cublas(void) {
CUBLAS_CHECK(cublasCreate(&cublasH));
CUDA_CHECK(cudaStreamCreateWithFlags(&cudaStream, cudaStreamNonBlocking));
CUBLAS_CHECK(cublasSetStream(cublasH, cudaStream));
// configure logging to stdout
@ -7758,7 +7759,6 @@ static void ggml_compute_forward_mul_mat_f32(
// copy data to host
CUDA_CHECK(cudaMemcpyAsync(d, d_D, sizeof(float) * d_ne, cudaMemcpyDeviceToHost, cudaStream));
CUDA_CHECK(cudaStreamSynchronize(cudaStream));
#else
// zT = y * xT
cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
@ -7770,6 +7770,7 @@ static void ggml_compute_forward_mul_mat_f32(
}
}
#if defined(GGML_USE_CUBLAS)
CUDA_CHECK(cudaStreamSynchronize(cudaStream));
CUDA_CHECK(cudaFree(d_X));
CUDA_CHECK(cudaFree(d_Y));
CUDA_CHECK(cudaFree(d_D));
@ -7982,7 +7983,6 @@ static void ggml_compute_forward_mul_mat_f16_f32(
// copy data to host
CUDA_CHECK(cudaMemcpyAsync(d, d_D, sizeof(float) * d_ne, cudaMemcpyDeviceToHost, cudaStream));
CUDA_CHECK(cudaStreamSynchronize(cudaStream));
#else
const float * x = wdata;
const float * y = (float *) ((char *) src1->data + i02*nb12 + i03*nb13);
@ -8000,6 +8000,7 @@ static void ggml_compute_forward_mul_mat_f16_f32(
}
#if defined(GGML_USE_CUBLAS)
CUDA_CHECK(cudaStreamSynchronize(cudaStream));
CUDA_CHECK(cudaFree(d_X));
CUDA_CHECK(cudaFree(d_Y));
CUDA_CHECK(cudaFree(d_D));
@ -8185,7 +8186,7 @@ static void ggml_compute_forward_mul_mat_q_f32(
CUDA_CHECK(cudaMalloc((void **)(&d_D), sizeof(float) * d_ne));
CUDA_CHECK(cudaMalloc((void **)(&d_Q), GGML_TYPE_SIZE[type] * x_ne / GGML_BLCK_SIZE[type]));
dequantize_row_q_t dequantize_row_q_cuda = NULL;
void (*dequantize_row_q_cuda)(const void * x, float * y, int k, cudaStream_t stream) = NULL;
if (type == GGML_TYPE_Q4_0) {
dequantize_row_q_cuda = dequantize_row_q4_0_cuda;
}
@ -8215,7 +8216,7 @@ static void ggml_compute_forward_mul_mat_q_f32(
cudaMemcpyAsync(d_Q, (char *) src0->data + i03*nb03 + i02*nb02,
GGML_TYPE_SIZE[type] * x_ne / GGML_BLCK_SIZE[type], cudaMemcpyHostToDevice, cudaStream));
dequantize_row_q_cuda(d_Q, d_X, ne01 * ne00);
dequantize_row_q_cuda(d_Q, d_X, ne01 * ne00, cudaStream);
CUDA_CHECK(cudaGetLastError());
#else
{
@ -8243,7 +8244,6 @@ static void ggml_compute_forward_mul_mat_q_f32(
// copy data to host
CUDA_CHECK(cudaMemcpyAsync(d, d_D, sizeof(float) * d_ne, cudaMemcpyDeviceToHost, cudaStream));
CUDA_CHECK(cudaStreamSynchronize(cudaStream));
#else
// zT = y * xT
cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
@ -8256,6 +8256,7 @@ static void ggml_compute_forward_mul_mat_q_f32(
}
#if defined(GGML_USE_CUBLAS)
CUDA_CHECK(cudaStreamSynchronize(cudaStream));
CUDA_CHECK(cudaFree(d_X));
CUDA_CHECK(cudaFree(d_Y));
CUDA_CHECK(cudaFree(d_D));