extern/whisper.cpp
1
0
Fork 1
mirror of https://github.com/ggerganov/whisper.cpp.git synced 2025-08-19 09:32:31 +02:00
Code Issues Packages Projects Releases Wiki Activity

sync : ggml (#2001)

Browse Source 
* sync : update scripts

* sync : ggml

* talk-llama : sync llama.cpp

* make : WHISPER_CUBLAS -> WHISPER_CUDA

* ci : try to fix sycl build

* talk-llama : fix make build
This commit is contained in:
Georgi Gerganov
2024-03-27 18:55:10 +02:00
committed by GitHub
parent 1558ec5a16
commit 2948c740a2
90 changed files with 15702 additions and 12476 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
ggml-cuda/concat.cu Normal file
View File

@@ -0,0 +1,49 @@
#include "concat.cuh"
static __global__ void concat_f32(const float * x,const float * y, float * dst, const int ne0, const int ne02) {
int nidx = threadIdx.x + blockIdx.x * blockDim.x;
if (nidx >= ne0) {
return;
}
// operation
int offset_dst =
nidx +
blockIdx.y * ne0 +
blockIdx.z * ne0 * gridDim.y;
if (blockIdx.z < ne02) { // src0
int offset_src =
nidx +
blockIdx.y * ne0 +
blockIdx.z * ne0 * gridDim.y;
dst[offset_dst] = x[offset_src];
} else {
int offset_src =
nidx +
blockIdx.y * ne0 +
(blockIdx.z - ne02) * ne0 * gridDim.y;
dst[offset_dst] = y[offset_src];
}
}
static void concat_f32_cuda(const float * x, const float * y, float * dst, const int ne0, int ne1, int ne2, int ne02, cudaStream_t stream) {
int num_blocks = (ne0 + CUDA_CONCAT_BLOCK_SIZE - 1) / CUDA_CONCAT_BLOCK_SIZE;
dim3 gridDim(num_blocks, ne1, ne2);
concat_f32<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne02);
}
void ggml_cuda_op_concat(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
const ggml_tensor * src0 = dst->src[0];
const ggml_tensor * src1 = dst->src[1];
const float * src0_d = (const float *)src0->data;
const float * src1_d = (const float *)src1->data;
float * dst_d = (float *)dst->data;
cudaStream_t stream = ctx.stream();
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT(src1->type == GGML_TYPE_F32);
GGML_ASSERT(dst->type == GGML_TYPE_F32);
for (int i3 = 0; i3 < dst->ne[3]; i3++) {
concat_f32_cuda(src0_d + i3 * (src0->nb[3] / 4), src1_d + i3 * (src1->nb[3] / 4), dst_d + i3 * (dst->nb[3] / 4), dst->ne[0], dst->ne[1], dst->ne[2], src0->ne[2], stream);
}
}