cuda : add LLAMA_CUDA_NO_PEER_COPY to workaround broken ROCm p2p copy (#6208)

* cuda : add LLAMA_CUDA_NO_PEER_COPY to workaround broken ROCm p2p copy

* add LLAMA_CUDA_NO_PEER_COPY to HIP build
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slaren 2024-03-22 14:05:31 +01:00 committed by GitHub
parent 29ab270e65
commit 2f0e81e053
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3 changed files with 34 additions and 11 deletions

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@ -99,6 +99,7 @@ option(LLAMA_CUDA_F16 "llama: use 16 bit floats for some
set(LLAMA_CUDA_KQUANTS_ITER "2" CACHE STRING "llama: iters./thread per block for Q2_K/Q6_K") set(LLAMA_CUDA_KQUANTS_ITER "2" CACHE STRING "llama: iters./thread per block for Q2_K/Q6_K")
set(LLAMA_CUDA_PEER_MAX_BATCH_SIZE "128" CACHE STRING set(LLAMA_CUDA_PEER_MAX_BATCH_SIZE "128" CACHE STRING
"llama: max. batch size for using peer access") "llama: max. batch size for using peer access")
option(LLAMA_CUDA_NO_PEER_COPY "llama: do not use peer to peer copies" OFF)
option(LLAMA_CURL "llama: use libcurl to download model from an URL" OFF) option(LLAMA_CURL "llama: use libcurl to download model from an URL" OFF)
option(LLAMA_HIPBLAS "llama: use hipBLAS" OFF) option(LLAMA_HIPBLAS "llama: use hipBLAS" OFF)
option(LLAMA_HIP_UMA "llama: use HIP unified memory architecture" OFF) option(LLAMA_HIP_UMA "llama: use HIP unified memory architecture" OFF)
@ -387,6 +388,9 @@ if (LLAMA_CUBLAS)
endif() endif()
add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER}) add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER})
add_compile_definitions(GGML_CUDA_PEER_MAX_BATCH_SIZE=${LLAMA_CUDA_PEER_MAX_BATCH_SIZE}) add_compile_definitions(GGML_CUDA_PEER_MAX_BATCH_SIZE=${LLAMA_CUDA_PEER_MAX_BATCH_SIZE})
if (LLAMA_CUDA_NO_PEER_COPY)
add_compile_definitions(GGML_CUDA_NO_PEER_COPY)
endif()
if (LLAMA_STATIC) if (LLAMA_STATIC)
if (WIN32) if (WIN32)
@ -531,6 +535,10 @@ if (LLAMA_HIPBLAS)
add_compile_definitions(GGML_CUDA_FORCE_MMQ) add_compile_definitions(GGML_CUDA_FORCE_MMQ)
endif() endif()
if (LLAMA_CUDA_NO_PEER_COPY)
add_compile_definitions(GGML_CUDA_NO_PEER_COPY)
endif()
add_compile_definitions(GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X}) add_compile_definitions(GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X})
add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y}) add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y})
add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER}) add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER})

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@ -452,9 +452,9 @@ ifdef LLAMA_CUDA_PEER_MAX_BATCH_SIZE
else else
MK_NVCCFLAGS += -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 MK_NVCCFLAGS += -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128
endif # LLAMA_CUDA_PEER_MAX_BATCH_SIZE endif # LLAMA_CUDA_PEER_MAX_BATCH_SIZE
#ifdef LLAMA_CUDA_CUBLAS ifdef LLAMA_CUDA_NO_PEER_COPY
# MK_NVCCFLAGS += -DGGML_CUDA_CUBLAS MK_NVCCFLAGS += -DGGML_CUDA_NO_PEER_COPY
#endif # LLAMA_CUDA_CUBLAS endif # LLAMA_CUDA_NO_PEER_COPY
ifdef LLAMA_CUDA_CCBIN ifdef LLAMA_CUDA_CCBIN
MK_NVCCFLAGS += -ccbin $(LLAMA_CUDA_CCBIN) MK_NVCCFLAGS += -ccbin $(LLAMA_CUDA_CCBIN)
endif endif
@ -535,6 +535,9 @@ endif # LLAMA_HIP_UMA
ifdef LLAMA_CUDA_FORCE_DMMV ifdef LLAMA_CUDA_FORCE_DMMV
HIPFLAGS += -DGGML_CUDA_FORCE_DMMV HIPFLAGS += -DGGML_CUDA_FORCE_DMMV
endif # LLAMA_CUDA_FORCE_DMMV endif # LLAMA_CUDA_FORCE_DMMV
ifdef LLAMA_CUDA_NO_PEER_COPY
HIPFLAGS += -DGGML_CUDA_NO_PEER_COPY
endif # LLAMA_CUDA_NO_PEER_COPY
OBJS += ggml-cuda.o OBJS += ggml-cuda.o
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml-cuda.o: ggml-cuda.cu ggml-cuda.h
$(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $< $(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $<

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@ -771,7 +771,11 @@ GGML_CALL static bool ggml_backend_cuda_buffer_cpy_tensor(ggml_backend_buffer_t
if (src_ctx->device == dst_ctx->device) { if (src_ctx->device == dst_ctx->device) {
CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(src), cudaMemcpyDeviceToDevice, cudaStreamPerThread)); CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(src), cudaMemcpyDeviceToDevice, cudaStreamPerThread));
} else { } else {
#ifdef GGML_CUDA_NO_PEER_COPY
return false;
#else
CUDA_CHECK(cudaMemcpyPeerAsync(dst->data, dst_ctx->device, src->data, src_ctx->device, ggml_nbytes(src), cudaStreamPerThread)); CUDA_CHECK(cudaMemcpyPeerAsync(dst->data, dst_ctx->device, src->data, src_ctx->device, ggml_nbytes(src), cudaStreamPerThread));
#endif
} }
CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread)); CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
return true; return true;
@ -11322,19 +11326,23 @@ GGML_CALL static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_
GGML_ASSERT(cuda_ctx_src->device == buf_ctx_src->device); GGML_ASSERT(cuda_ctx_src->device == buf_ctx_src->device);
GGML_ASSERT(cuda_ctx_dst->device == buf_ctx_dst->device); GGML_ASSERT(cuda_ctx_dst->device == buf_ctx_dst->device);
// copy on src stream
if (cuda_ctx_src->device == cuda_ctx_dst->device) {
CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyDeviceToDevice, cuda_ctx_dst->stream()));
} else {
#ifdef GGML_CUDA_NO_PEER_COPY
return false;
#else
CUDA_CHECK(cudaMemcpyPeerAsync(dst->data, cuda_ctx_dst->device, src->data, cuda_ctx_src->device, ggml_nbytes(dst), cuda_ctx_src->stream()));
#endif
}
// record event on src stream
if (!cuda_ctx_src->copy_event) { if (!cuda_ctx_src->copy_event) {
ggml_cuda_set_device(cuda_ctx_src->device); ggml_cuda_set_device(cuda_ctx_src->device);
CUDA_CHECK(cudaEventCreateWithFlags(&cuda_ctx_src->copy_event, cudaEventDisableTiming)); CUDA_CHECK(cudaEventCreateWithFlags(&cuda_ctx_src->copy_event, cudaEventDisableTiming));
} }
// copy on src stream
if (cuda_ctx_src->device == cuda_ctx_dst->device) {
CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyDeviceToDevice, cuda_ctx_dst->stream()));
} else {
CUDA_CHECK(cudaMemcpyPeerAsync(dst->data, cuda_ctx_dst->device, src->data, cuda_ctx_src->device, ggml_nbytes(dst), cuda_ctx_src->stream()));
}
// record event on src stream
CUDA_CHECK(cudaEventRecord(cuda_ctx_src->copy_event, cuda_ctx_src->stream())); CUDA_CHECK(cudaEventRecord(cuda_ctx_src->copy_event, cuda_ctx_src->stream()));
// wait on dst stream for the copy to complete // wait on dst stream for the copy to complete
@ -11530,6 +11538,9 @@ GGML_CALL static bool ggml_backend_cuda_offload_op(ggml_backend_t backend, const
} }
static ggml_backend_event_t ggml_backend_cuda_event_new(ggml_backend_t backend) { static ggml_backend_event_t ggml_backend_cuda_event_new(ggml_backend_t backend) {
#ifdef GGML_CUDA_NO_PEER_COPY
return nullptr;
#else
ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *)backend->context; ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *)backend->context;
ggml_cuda_set_device(cuda_ctx->device); ggml_cuda_set_device(cuda_ctx->device);
@ -11541,6 +11552,7 @@ static ggml_backend_event_t ggml_backend_cuda_event_new(ggml_backend_t backend)
/* .backend = */ backend, /* .backend = */ backend,
/* .context = */ event, /* .context = */ event,
}; };
#endif
} }
static void ggml_backend_cuda_event_free(ggml_backend_event_t event) { static void ggml_backend_cuda_event_free(ggml_backend_event_t event) {