This commit is contained in:
Xuan Son Nguyen
2025-07-08 23:26:21 +02:00
parent e427af75fb
commit 92a8738452

View File

@@ -1,18 +1,18 @@
#include "scale.cuh" #include "scale.cuh"
static __global__ void scale_f32(const float * x, float * dst, const float scale, const int k) { static __global__ void scale_f32(const float * x, float * dst, const float scale, const float bias, const int k) {
const int i = blockDim.x*blockIdx.x + threadIdx.x; const int i = blockDim.x*blockIdx.x + threadIdx.x;
if (i >= k) { if (i >= k) {
return; return;
} }
dst[i] = scale * x[i]; dst[i] = scale * x[i] + bias;
} }
static void scale_f32_cuda(const float * x, float * dst, const float scale, const int k, cudaStream_t stream) { static void scale_f32_cuda(const float * x, float * dst, const float scale, const float bias, const int k, cudaStream_t stream) {
const int num_blocks = (k + CUDA_SCALE_BLOCK_SIZE - 1) / CUDA_SCALE_BLOCK_SIZE; const int num_blocks = (k + CUDA_SCALE_BLOCK_SIZE - 1) / CUDA_SCALE_BLOCK_SIZE;
scale_f32<<<num_blocks, CUDA_SCALE_BLOCK_SIZE, 0, stream>>>(x, dst, scale, k); scale_f32<<<num_blocks, CUDA_SCALE_BLOCK_SIZE, 0, stream>>>(x, dst, scale, bias, k);
} }
void ggml_cuda_op_scale(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { void ggml_cuda_op_scale(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
@@ -24,8 +24,8 @@ void ggml_cuda_op_scale(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32);
float scale; float scale = ((const float *)(dst->op_params))[0];
memcpy(&scale, dst->op_params, sizeof(float)); float bias = ((const float *)(dst->op_params))[1];
scale_f32_cuda(src0_d, dst_d, scale, ggml_nelements(src0), stream); scale_f32_cuda(src0_d, dst_d, scale, bias, ggml_nelements(src0), stream);
} }