mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-18 20:27:53 +00:00
whisper : disable CUDA mel + fix FFMPEG
This commit is contained in:
parent
3efedb9511
commit
dc8cc2dd6f
@ -11,7 +11,7 @@ if (WHISPER_SDL2)
|
||||
string(STRIP "${SDL2_LIBRARIES}" SDL2_LIBRARIES)
|
||||
|
||||
message(STATUS "SDL2_INCLUDE_DIRS = ${SDL2_INCLUDE_DIRS}")
|
||||
message(STATUS "SDL2_LIBRARIES = ${SDL2_LIBRARIES}")
|
||||
message(STATUS "SDL2_LIBRARIES = ${SDL2_LIBRARIES}")
|
||||
endif()
|
||||
|
||||
if (WHISPER_CLBLAST)
|
||||
@ -22,10 +22,35 @@ endif()
|
||||
|
||||
set(TARGET common)
|
||||
|
||||
unset(COMMON_EXTRA_LIBS)
|
||||
|
||||
if (WHISPER_FFMPEG)
|
||||
# As of cmake 3.27, there is no official cmake support for FindFFmpeg.
|
||||
# Consequnelty we added a FindFFmpeg.cmake script the cmake subfolder:
|
||||
# whisper.cpp does not need the full ffmpeg libs, just AVFORMAT AVCODEC AVUTIL SWRESAMPLE
|
||||
# libswresample performs highly optimized audio resampling, rematrixing and sample format conversion operations
|
||||
# libavcodec provides a generic encoding/decoding framework and contains multiple decoders and encoders for audio, video and subtitle streams, and several bitstream filters.
|
||||
# libavformat provides a generic framework for multiplexing and demultiplexing (muxing and demuxing) audio, video and subtitle streams.
|
||||
find_package(FFmpeg REQUIRED)
|
||||
|
||||
if (NOT ${FFMPEG_FOUND})
|
||||
message(FATAL_ERROR "Cannot find ffmpeg libs/headers")
|
||||
endif()
|
||||
|
||||
message(STATUS "Found ffmpeg libs: ${FFMPEG_LIBRARIES}")
|
||||
message(STATUS "Found ffmpeg headers in: ${FFMPEG_INCLUDE_DIRS}")
|
||||
message(STATUS "ffmpeg definitions: ${FFMPEG_DEFINITIONS}")
|
||||
message(STATUS "Found avformat ${AVFORMAT_VERSION}")
|
||||
|
||||
include_directories(${FFMPEG_INCLUDE_DIRS})
|
||||
add_compile_definitions(WHISPER_FFMPEG)
|
||||
|
||||
list(APPEND COMMON_EXTRA_LIBS ${FFMPEG_LIBRARIES})
|
||||
|
||||
set(COMMON_SOURCES_FFMPEG ffmpeg-transcode.cpp)
|
||||
endif()
|
||||
|
||||
|
||||
add_library(${TARGET} STATIC
|
||||
common.h
|
||||
common.cpp
|
||||
@ -38,7 +63,7 @@ add_library(${TARGET} STATIC
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_link_libraries(${TARGET} PRIVATE whisper)
|
||||
target_link_libraries(${TARGET} PRIVATE whisper ${COMMON_EXTRA_LIBS})
|
||||
|
||||
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
|
||||
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
|
||||
@ -55,8 +80,8 @@ if (WHISPER_SDL2)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_include_directories(${TARGET} PUBLIC ${SDL2_INCLUDE_DIRS})
|
||||
target_link_libraries(${TARGET} PRIVATE ${SDL2_LIBRARIES})
|
||||
target_include_directories(${TARGET} PUBLIC ${SDL2_INCLUDE_DIRS})
|
||||
target_link_libraries (${TARGET} PRIVATE ${SDL2_LIBRARIES})
|
||||
|
||||
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
|
||||
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
|
||||
@ -108,7 +133,7 @@ if (WHISPER_SDL2)
|
||||
set_target_properties(talk-llama PROPERTIES FOLDER "examples")
|
||||
add_subdirectory(lsp)
|
||||
set_target_properties(lsp PROPERTIES FOLDER "examples")
|
||||
if (LLAMA_SYCL)
|
||||
if (GGML_SYCL)
|
||||
add_subdirectory(sycl)
|
||||
set_target_properties(sycl PROPERTIES FOLDER "examples")
|
||||
endif()
|
||||
|
@ -30,7 +30,7 @@ extern bool ffmpeg_decode_audio(const std::string & ifname, std::vector<uint8_t>
|
||||
#endif
|
||||
|
||||
// Function to check if the next argument exists
|
||||
std::string get_next_arg(int& i, int argc, char** argv, const std::string& flag, gpt_params& params) {
|
||||
static std::string get_next_arg(int& i, int argc, char** argv, const std::string& flag, gpt_params& params) {
|
||||
if (i + 1 < argc && argv[i + 1][0] != '-') {
|
||||
return argv[++i];
|
||||
} else {
|
||||
@ -346,7 +346,7 @@ std::vector<gpt_vocab::id> gpt_tokenize(const gpt_vocab & vocab, const std::stri
|
||||
return tokens;
|
||||
}
|
||||
|
||||
std::vector<gpt_vocab::id> parse_tokens_from_string(const std::string& input, char delimiter) {
|
||||
static std::vector<gpt_vocab::id> parse_tokens_from_string(const std::string& input, char delimiter) {
|
||||
std::vector<gpt_vocab::id> output;
|
||||
std::stringstream ss(input);
|
||||
std::string token;
|
||||
@ -358,7 +358,7 @@ std::vector<gpt_vocab::id> parse_tokens_from_string(const std::string& input, ch
|
||||
return output;
|
||||
}
|
||||
|
||||
std::map<std::string, std::vector<gpt_vocab::id>> extract_tests_from_file(const std::string & fpath_test){
|
||||
static std::map<std::string, std::vector<gpt_vocab::id>> extract_tests_from_file(const std::string & fpath_test){
|
||||
if (fpath_test.empty()){
|
||||
fprintf(stderr, "%s : No test file found.\n", __func__);
|
||||
return std::map<std::string, std::vector<gpt_vocab::id>>();
|
||||
|
@ -24,7 +24,7 @@ if out=$($CC -dumpmachine); then
|
||||
build_target=$out
|
||||
fi
|
||||
|
||||
echo "int LLAMA_BUILD_NUMBER = ${build_number};"
|
||||
echo "char const *LLAMA_COMMIT = \"${build_commit}\";"
|
||||
echo "char const *LLAMA_COMPILER = \"${build_compiler}\";"
|
||||
echo "char const *LLAMA_BUILD_TARGET = \"${build_target}\";"
|
||||
echo "int WHISPER_BUILD_NUMBER = ${build_number};"
|
||||
echo "char const *WHISPER_COMMIT = \"${build_commit}\";"
|
||||
echo "char const *WHISPER_COMPILER = \"${build_compiler}\";"
|
||||
echo "char const *WHISPER_BUILD_TARGET = \"${build_target}\";"
|
||||
|
@ -77,27 +77,27 @@ if (WHISPER_OPENVINO)
|
||||
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")
|
||||
endif()
|
||||
|
||||
if (GGML_CUDA)
|
||||
cmake_minimum_required(VERSION 3.18) # for CMAKE_CUDA_ARCHITECTURES
|
||||
|
||||
find_package(CUDAToolkit)
|
||||
if (CUDAToolkit_FOUND)
|
||||
message(STATUS "CUDA found")
|
||||
|
||||
if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
|
||||
# 52 == lowest CUDA 12 standard
|
||||
# 60 == f16 CUDA intrinsics
|
||||
# 61 == integer CUDA intrinsics
|
||||
# 70 == compute capability at which unrolling a loop in mul_mat_q kernels is faster
|
||||
set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics
|
||||
endif()
|
||||
message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
|
||||
|
||||
enable_language(CUDA)
|
||||
else()
|
||||
message(WARNING "CUDA not found")
|
||||
endif()
|
||||
endif()
|
||||
#if (GGML_CUDA)
|
||||
# cmake_minimum_required(VERSION 3.18) # for CMAKE_CUDA_ARCHITECTURES
|
||||
#
|
||||
# find_package(CUDAToolkit)
|
||||
# if (CUDAToolkit_FOUND)
|
||||
# message(STATUS "CUDA found")
|
||||
#
|
||||
# if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
|
||||
# # 52 == lowest CUDA 12 standard
|
||||
# # 60 == f16 CUDA intrinsics
|
||||
# # 61 == integer CUDA intrinsics
|
||||
# # 70 == compute capability at which unrolling a loop in mul_mat_q kernels is faster
|
||||
# set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics
|
||||
# endif()
|
||||
# message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
|
||||
#
|
||||
# enable_language(CUDA)
|
||||
# else()
|
||||
# message(WARNING "CUDA not found")
|
||||
# endif()
|
||||
#endif()
|
||||
|
||||
# whisper
|
||||
|
||||
@ -107,11 +107,12 @@ add_library(whisper
|
||||
whisper-mel.hpp
|
||||
)
|
||||
|
||||
if (GGML_CUDA)
|
||||
target_sources(whisper PRIVATE whisper-mel-cuda.cu)
|
||||
|
||||
target_link_libraries(whisper PRIVATE CUDA::cufft)
|
||||
endif()
|
||||
# TODO: disabled because it relies on ggml internals that are no longer accessible (ggml-backend-impl.h, ggml-cuda/common.cuh, ..)
|
||||
#if (GGML_CUDA)
|
||||
# target_sources(whisper PRIVATE whisper-mel-cuda.cu)
|
||||
#
|
||||
# target_link_libraries(whisper PRIVATE CUDA::cufft)
|
||||
#endif()
|
||||
|
||||
# Set the version numbers
|
||||
set_target_properties(whisper PROPERTIES
|
||||
|
@ -2,8 +2,7 @@
|
||||
#include "whisper-mel-cuda.hpp"
|
||||
#include "whisper.h"
|
||||
|
||||
#include <ggml-cuda/common.cuh>
|
||||
#include <ggml-backend-impl.h>
|
||||
#include <ggml-backend.h>
|
||||
|
||||
#include <cuda.h>
|
||||
#include <cuda_runtime.h>
|
||||
|
@ -3215,7 +3215,9 @@ struct mel_calc_cpu : public whisper_mel_calc {
|
||||
}
|
||||
|
||||
static whisper_mel_calc * whisper_mel_calc_create(ggml_backend_t backend, const whisper_filters & filters) {
|
||||
#if defined(GGML_USE_CUDA) && !defined(GGML_USE_HIPBLAS)
|
||||
// TODO: disabled because it relies on ggml internals that are no longer accessible (ggml-backend-impl.h, ggml-cuda/common.cuh, ..)
|
||||
//#if defined(GGML_USE_CUDA) && !defined(GGML_USE_HIPBLAS)
|
||||
#if 0
|
||||
if (ggml_backend_is_cuda(backend)) {
|
||||
auto ret = whisper_mel_calc_create_cuda(backend, filters);
|
||||
if (ret) {
|
||||
|
Loading…
Reference in New Issue
Block a user