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https://github.com/ggml-org/llama.cpp.git
synced 2026-09-18 16:55:05 +02:00
Adds CPU-to-CUDA copy capability to
ggml_backend_cuda_cpy_tensor_async()
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@@ -61,6 +61,7 @@
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#include "ggml-cuda/cumsum.cuh"
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#include "ggml-cuda/fill.cuh"
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#include "ggml.h"
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#include "ggml-cpu.h"
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#include <algorithm>
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#include <array>
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@@ -2750,11 +2751,14 @@ static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_
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ggml_backend_buffer_t buf_src = src->view_src ? src->view_src->buffer : src->buffer;
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ggml_backend_buffer_t buf_dst = dst->view_src ? dst->view_src->buffer : dst->buffer;
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if (!ggml_backend_is_cuda(backend_src) || !ggml_backend_is_cuda(backend_dst)) {
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//enables async copies from CPU to CUDA, instead of only CUDA-to-CUDA
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bool copy_from_cpu = ggml_backend_is_cpu(backend_src) && ggml_backend_buffer_is_host(src->buffer);
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if (!(copy_from_cpu || ggml_backend_is_cuda(backend_src)) || !ggml_backend_is_cuda(backend_dst)) {
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return false;
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}
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if (!ggml_backend_buffer_is_cuda(buf_src) || !ggml_backend_buffer_is_cuda(buf_dst)) {
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if (!(copy_from_cpu || ggml_backend_buffer_is_cuda(buf_src)) || !ggml_backend_buffer_is_cuda(buf_dst)) {
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return false;
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}
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@@ -2765,14 +2769,19 @@ static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_
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ggml_backend_cuda_buffer_context * buf_ctx_src = (ggml_backend_cuda_buffer_context *) buf_src->context;
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ggml_backend_cuda_buffer_context * buf_ctx_dst = (ggml_backend_cuda_buffer_context *) buf_dst->context;
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if (cuda_ctx_src->device != buf_ctx_src->device || cuda_ctx_dst->device != buf_ctx_dst->device) {
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if (!copy_from_cpu && (cuda_ctx_src->device != buf_ctx_src->device || cuda_ctx_dst->device != buf_ctx_dst->device)) {
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#ifndef NDEBUG
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GGML_LOG_DEBUG("%s: backend and buffer devices do not match\n", __func__);
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#endif // NDEBUG
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return false;
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}
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if (backend_src != backend_dst) {
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if (copy_from_cpu) {
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if (!cuda_ctx_dst->stream()) {
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return false;
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}
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CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyHostToDevice, cuda_ctx_dst->stream()));
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} else if (backend_src != backend_dst) {
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// copy on src stream
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if (cuda_ctx_src->device == cuda_ctx_dst->device) {
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CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyDeviceToDevice, cuda_ctx_src->stream()));
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