cuda : fix HIPBLAS build (#2234)

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Georgi Gerganov 2024-06-11 19:14:38 +03:00 committed by GitHub
parent 99804b0f3e
commit 420b6abc54
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2 changed files with 2 additions and 2 deletions

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@ -297,10 +297,10 @@ ggml-cuda/%.o: ggml-cuda/%.cu ggml-cuda/%.cuh ggml.h ggml-common.h ggml-cuda/com
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml.h ggml-backend.h ggml-backend-impl.h ggml-common.h $(wildcard ggml-cuda/*.cuh)
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -Wno-pedantic -c $< -o $@
endif
whisper-mel-cuda.o: whisper-mel-cuda.cu whisper.h ggml.h ggml-backend.h whisper-mel.hpp whisper-mel-cuda.hpp
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -Wno-pedantic -c $< -o $@
endif
ifdef WHISPER_HIPBLAS
ROCM_PATH ?= /opt/rocm

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@ -3167,7 +3167,7 @@ struct mel_calc_cpu : public whisper_mel_calc {
}
whisper_mel_calc * whisper_mel_calc_create(ggml_backend_t backend, const whisper_filters & filters) {
#if GGML_USE_CUDA
#if defined(GGML_USE_CUDA) && !defined(GGML_USE_HIPBLAS)
if (ggml_backend_is_cuda(backend)) {
auto ret = whisper_mel_calc_create_cuda(backend, filters);
// run a warmup to avoid the first kernel launch overhead (thus we get the best perf even on the first run)