Text Generation
Transformers
Safetensors
English
Chinese
Russian
yue2
music-generation
orbitquant
quantization
4-bit precision
custom-code
8-bit precision
Instructions to use WaveCut/YuE2-3B-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WaveCut/YuE2-3B-OrbitQuant-W4A4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="WaveCut/YuE2-3B-OrbitQuant-W4A4")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("WaveCut/YuE2-3B-OrbitQuant-W4A4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use WaveCut/YuE2-3B-OrbitQuant-W4A4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "WaveCut/YuE2-3B-OrbitQuant-W4A4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "WaveCut/YuE2-3B-OrbitQuant-W4A4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/WaveCut/YuE2-3B-OrbitQuant-W4A4
- SGLang
How to use WaveCut/YuE2-3B-OrbitQuant-W4A4 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "WaveCut/YuE2-3B-OrbitQuant-W4A4" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "WaveCut/YuE2-3B-OrbitQuant-W4A4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "WaveCut/YuE2-3B-OrbitQuant-W4A4" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "WaveCut/YuE2-3B-OrbitQuant-W4A4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use WaveCut/YuE2-3B-OrbitQuant-W4A4 with Docker Model Runner:
docker model run hf.co/WaveCut/YuE2-3B-OrbitQuant-W4A4
File size: 21,963 Bytes
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#
# https://github.com/vllm-project/vllm/blob/main/cmake/utils.cmake
#
# Attempt to find the python package that uses the same python executable as
# `EXECUTABLE` and is one of the `SUPPORTED_VERSIONS`.
#
macro (find_python_from_executable EXECUTABLE SUPPORTED_VERSIONS)
file(REAL_PATH ${EXECUTABLE} EXECUTABLE)
set(Python3_EXECUTABLE ${EXECUTABLE})
find_package(Python3 COMPONENTS Interpreter Development.Module Development.SABIModule)
if (NOT Python3_FOUND)
message(FATAL_ERROR "Unable to find python matching: ${EXECUTABLE}.")
endif()
set(_VER "${Python3_VERSION_MAJOR}.${Python3_VERSION_MINOR}")
set(_SUPPORTED_VERSIONS_LIST ${SUPPORTED_VERSIONS} ${ARGN})
if (NOT _VER IN_LIST _SUPPORTED_VERSIONS_LIST)
message(FATAL_ERROR
"Python version (${_VER}) is not one of the supported versions: "
"${_SUPPORTED_VERSIONS_LIST}.")
endif()
message(STATUS "Found python matching: ${EXECUTABLE}.")
endmacro()
#
# Run `EXPR` in python. The standard output of python is stored in `OUT` and
# has trailing whitespace stripped. If an error is encountered when running
# python, a fatal message `ERR_MSG` is issued.
#
function (run_python OUT EXPR ERR_MSG)
if(Python3_EXECUTABLE)
set(_PYTHON_EXECUTABLE "${Python3_EXECUTABLE}")
elseif(Python_EXECUTABLE)
set(_PYTHON_EXECUTABLE "${Python_EXECUTABLE}")
else()
message(FATAL_ERROR "No Python executable found. Set Python3_EXECUTABLE or Python_EXECUTABLE.")
endif()
execute_process(
COMMAND
"${_PYTHON_EXECUTABLE}" "-c" "${EXPR}"
OUTPUT_VARIABLE PYTHON_OUT
RESULT_VARIABLE PYTHON_ERROR_CODE
ERROR_VARIABLE PYTHON_STDERR
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(NOT PYTHON_ERROR_CODE EQUAL 0)
message(FATAL_ERROR "${ERR_MSG}: ${PYTHON_STDERR}")
endif()
set(${OUT} ${PYTHON_OUT} PARENT_SCOPE)
endfunction()
#
# Run `SCRIPT_PATH` in Python. The standard output of Python is stored in
# `OUT` and has trailing whitespace stripped. If the script exits with a
# non-zero code, a fatal message `ERR_MSG` is issued.
#
function (run_python_script OUT SCRIPT_PATH ERR_MSG)
if(Python3_EXECUTABLE)
set(_PYTHON_EXECUTABLE "${Python3_EXECUTABLE}")
elseif(Python_EXECUTABLE)
set(_PYTHON_EXECUTABLE "${Python_EXECUTABLE}")
else()
message(FATAL_ERROR "No Python executable found. Set Python3_EXECUTABLE or Python_EXECUTABLE.")
endif()
execute_process(
COMMAND
"${_PYTHON_EXECUTABLE}" "${SCRIPT_PATH}"
OUTPUT_VARIABLE PYTHON_OUT
RESULT_VARIABLE PYTHON_ERROR_CODE
ERROR_VARIABLE PYTHON_STDERR
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(NOT PYTHON_ERROR_CODE EQUAL 0)
message(FATAL_ERROR "${ERR_MSG}: ${PYTHON_STDERR}")
endif()
set(${OUT} ${PYTHON_OUT} PARENT_SCOPE)
endfunction()
#
# Run `EXPR` in python. The standard output of python is stored in `OUT` and
# has trailing whitespace stripped. If an error is encountered when running
# python, `SUCCESS` is set to FALSE. If successful, `SUCCESS` is set to TRUE.
#
function (try_run_python OUT SUCCESS EXPR)
if(Python3_EXECUTABLE)
set(_PYTHON_EXECUTABLE "${Python3_EXECUTABLE}")
elseif(Python_EXECUTABLE)
set(_PYTHON_EXECUTABLE "${Python_EXECUTABLE}")
else()
message(FATAL_ERROR "No Python executable found. Set Python3_EXECUTABLE or Python_EXECUTABLE.")
endif()
execute_process(
COMMAND
"${_PYTHON_EXECUTABLE}" "-c" "${EXPR}"
OUTPUT_VARIABLE PYTHON_OUT
RESULT_VARIABLE PYTHON_ERROR_CODE
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(NOT PYTHON_ERROR_CODE EQUAL 0)
set(${SUCCESS} FALSE PARENT_SCOPE)
set(${OUT} "" PARENT_SCOPE)
else()
set(${SUCCESS} TRUE PARENT_SCOPE)
set(${OUT} ${PYTHON_OUT} PARENT_SCOPE)
endif()
endfunction()
# Run `EXPR` in python after importing `PKG`. Use the result of this to extend
# `CMAKE_PREFIX_PATH` so the torch cmake configuration can be imported.
macro (append_cmake_prefix_path PKG EXPR)
run_python(_PREFIX_PATH
"import ${PKG}; print(${EXPR})" "Failed to locate ${PKG} path")
list(APPEND CMAKE_PREFIX_PATH ${_PREFIX_PATH})
endmacro()
#
# Add a target named `hipify${NAME}` that runs the hipify preprocessor on a set
# of CUDA source files. The names of the corresponding "hipified" sources are
# stored in `OUT_SRCS`.
#
function (hipify_sources_target OUT_SRCS NAME ORIG_SRCS)
#
# Split into C++ and non-C++ (i.e. CUDA) sources.
#
set(NODUP_SRCS ${ORIG_SRCS})
list(REMOVE_DUPLICATES NODUP_SRCS)
set(SRCS ${NODUP_SRCS})
set(CXX_SRCS ${NODUP_SRCS})
list(FILTER SRCS INCLUDE REGEX "\.cu$")
list(FILTER CXX_SRCS EXCLUDE REGEX "\.cu$")
#
# Generate ROCm/HIP source file names from CUDA file names.
# Since HIP files are generated code, they will appear in the build area
# `CMAKE_CURRENT_BINARY_DIR` directory rather than the original csrc dir.
#
set(HIP_SRCS)
foreach (SRC ${SRCS})
get_source_file_property(include_dirs "${SRC}" INCLUDE_DIRECTORIES)
get_source_file_property(compile_options "${SRC}" COMPILE_OPTIONS)
string(REGEX REPLACE "\.cu$" "\.hip" SRC ${SRC})
string(REGEX REPLACE "cuda" "hip" SRC ${SRC})
if(include_dirs)
# Copy over include directories from the original CUDA file.
set_source_files_properties(
${SRC}
PROPERTIES INCLUDE_DIRECTORIES "${include_dirs}")
endif()
if(compile_options)
set_source_files_properties(
${SRC}
PROPERTIES COMPILE_OPTIONS "${compile_options}")
endif()
list(APPEND HIP_SRCS "${CMAKE_CURRENT_BINARY_DIR}/${SRC}")
endforeach()
add_custom_target(
hipify${NAME}
COMMAND "${Python3_EXECUTABLE}" ${CMAKE_SOURCE_DIR}/cmake/hipify.py -p ${CMAKE_SOURCE_DIR} -o ${CMAKE_CURRENT_BINARY_DIR} ${SRCS}
DEPENDS ${CMAKE_SOURCE_DIR}/cmake/hipify.py ${SRCS}
BYPRODUCTS ${HIP_SRCS}
COMMENT "Running hipify on ${NAME} extension source files.")
# Swap out original extension sources with hipified sources.
list(APPEND HIP_SRCS ${CXX_SRCS})
set(${OUT_SRCS} ${HIP_SRCS} PARENT_SCOPE)
endfunction()
#
# Get additional GPU compiler flags from torch.
#
function (get_torch_gpu_compiler_flags OUT_GPU_FLAGS GPU_LANG)
if (${GPU_LANG} STREQUAL "CUDA")
#
# Get common NVCC flags from torch.
#
run_python(GPU_FLAGS
"from torch.utils.cpp_extension import COMMON_NVCC_FLAGS; print(';'.join(COMMON_NVCC_FLAGS))"
"Failed to determine torch nvcc compiler flags")
if (CUDA_VERSION VERSION_GREATER_EQUAL 11.8)
list(APPEND GPU_FLAGS "-DENABLE_FP8")
list(REMOVE_ITEM GPU_FLAGS
"-D__CUDA_NO_HALF_OPERATORS__"
"-D__CUDA_NO_HALF_CONVERSIONS__"
"-D__CUDA_NO_BFLOAT16_CONVERSIONS__"
"-D__CUDA_NO_HALF2_OPERATORS__")
endif()
elseif(${GPU_LANG} STREQUAL "HIP")
#
# Get common HIP/HIPCC flags from torch.
#
run_python(GPU_FLAGS
"import torch.utils.cpp_extension as t; print(';'.join(t.COMMON_HIP_FLAGS + t.COMMON_HIPCC_FLAGS))"
"Failed to determine torch nvcc compiler flags")
list(APPEND GPU_FLAGS
"-DUSE_ROCM"
"-DENABLE_FP8"
"-U__HIP_NO_HALF_CONVERSIONS__"
"-U__HIP_NO_HALF_OPERATORS__"
"-fno-gpu-rdc")
endif()
set(${OUT_GPU_FLAGS} ${GPU_FLAGS} PARENT_SCOPE)
endfunction()
# Macro for converting a `gencode` version number to a cmake version number.
macro(string_to_ver OUT_VER IN_STR)
string(REGEX REPLACE "\([0-9]+\)\([0-9]\)" "\\1.\\2" ${OUT_VER} ${IN_STR})
endmacro()
#
# Clear all `-gencode` flags from `CMAKE_CUDA_FLAGS`.
#
# Example:
# CMAKE_CUDA_FLAGS="-Wall -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75"
# clear_gencode_flags()
# CMAKE_CUDA_FLAGS="-Wall"
#
macro(clear_gencode_flags)
# Remove all `-gencode` flags from `CMAKE_CUDA_FLAGS` since they will be modified
# and passed back via the `CUDA_ARCHITECTURES` property.
string(REGEX REPLACE "-gencode arch=[^ ]+ *" "" CMAKE_CUDA_FLAGS
${CMAKE_CUDA_FLAGS})
endmacro()
#
# Extract unique CUDA architectures from a list of compute capabilities codes in
# the form `<major><minor>[<letter>]`, convert them to the form sort
# `<major>.<minor>`, dedupes them and then sorts them in ascending order and
# stores them in `OUT_ARCHES`.
#
# Example:
# CUDA_ARCH_FLAGS="-gencode arch=compute_75,code=sm_75;...;-gencode arch=compute_90a,code=sm_90a"
# extract_unique_cuda_archs_ascending(OUT_ARCHES CUDA_ARCH_FLAGS)
# OUT_ARCHES="7.5;...;9.0"
function(extract_unique_cuda_archs_ascending OUT_ARCHES CUDA_ARCH_FLAGS)
set(_CUDA_ARCHES)
foreach(_ARCH ${CUDA_ARCH_FLAGS})
string(REGEX MATCH "arch=compute_\([0-9]+a?\)" _COMPUTE ${_ARCH})
if (_COMPUTE)
set(_COMPUTE ${CMAKE_MATCH_1})
endif()
string_to_ver(_COMPUTE_VER ${_COMPUTE})
list(APPEND _CUDA_ARCHES ${_COMPUTE_VER})
endforeach()
list(REMOVE_DUPLICATES _CUDA_ARCHES)
list(SORT _CUDA_ARCHES COMPARE NATURAL ORDER ASCENDING)
set(${OUT_ARCHES} ${_CUDA_ARCHES} PARENT_SCOPE)
endfunction()
#
# For a specific file set the `-gencode` flag in compile options conditionally
# for the CUDA language.
#
# Example:
# set_gencode_flag_for_srcs(
# SRCS "foo.cu"
# ARCH "compute_75"
# CODE "sm_75")
# adds: "-gencode arch=compute_75,code=sm_75" to the compile options for
# `foo.cu` (only for the CUDA language).
#
macro(set_gencode_flag_for_srcs)
set(options)
set(oneValueArgs ARCH CODE)
set(multiValueArgs SRCS)
cmake_parse_arguments(arg "${options}" "${oneValueArgs}"
"${multiValueArgs}" ${ARGN} )
set(_FLAG -gencode arch=${arg_ARCH},code=${arg_CODE})
set_property(
SOURCE ${arg_SRCS}
APPEND PROPERTY
COMPILE_OPTIONS "$<$<COMPILE_LANGUAGE:CUDA>:${_FLAG}>"
)
message(DEBUG "Setting gencode flag for ${arg_SRCS}: ${_FLAG}")
endmacro(set_gencode_flag_for_srcs)
#
# For a list of source files set the `-gencode` flags in the files specific
# compile options (specifically for the CUDA language).
#
# arguments are:
# SRCS: list of source files
# CUDA_ARCHS: list of CUDA architectures in the form `<major>.<minor>[letter]`
# BUILD_PTX_FOR_ARCH: if set to true, then the PTX code will be built
# for architecture `BUILD_PTX_FOR_ARCH` if there is a CUDA_ARCH in CUDA_ARCHS
# that is larger than BUILD_PTX_FOR_ARCH.
#
macro(set_gencode_flags_for_srcs)
set(options)
set(oneValueArgs BUILD_PTX_FOR_ARCH)
set(multiValueArgs SRCS CUDA_ARCHS)
cmake_parse_arguments(arg "${options}" "${oneValueArgs}"
"${multiValueArgs}" ${ARGN} )
foreach(_ARCH ${arg_CUDA_ARCHS})
# handle +PTX suffix: generate both sm and ptx codes if requested
string(FIND "${_ARCH}" "+PTX" _HAS_PTX)
if(NOT _HAS_PTX EQUAL -1)
string(REPLACE "+PTX" "" _BASE_ARCH "${_ARCH}")
string(REPLACE "." "" _STRIPPED_ARCH "${_BASE_ARCH}")
set_gencode_flag_for_srcs(
SRCS ${arg_SRCS}
ARCH "compute_${_STRIPPED_ARCH}"
CODE "sm_${_STRIPPED_ARCH}")
set_gencode_flag_for_srcs(
SRCS ${arg_SRCS}
ARCH "compute_${_STRIPPED_ARCH}"
CODE "compute_${_STRIPPED_ARCH}")
else()
string(REPLACE "." "" _STRIPPED_ARCH "${_ARCH}")
set_gencode_flag_for_srcs(
SRCS ${arg_SRCS}
ARCH "compute_${_STRIPPED_ARCH}"
CODE "sm_${_STRIPPED_ARCH}")
endif()
endforeach()
if (${arg_BUILD_PTX_FOR_ARCH})
list(SORT arg_CUDA_ARCHS COMPARE NATURAL ORDER ASCENDING)
list(GET arg_CUDA_ARCHS -1 _HIGHEST_ARCH)
if (_HIGHEST_ARCH VERSION_GREATER_EQUAL ${arg_BUILD_PTX_FOR_ARCH})
string(REPLACE "." "" _PTX_ARCH "${arg_BUILD_PTX_FOR_ARCH}")
set_gencode_flag_for_srcs(
SRCS ${arg_SRCS}
ARCH "compute_${_PTX_ARCH}"
CODE "compute_${_PTX_ARCH}")
endif()
endif()
endmacro()
#
# For the given `SRC_CUDA_ARCHS` list of gencode versions in the form
# `<major>.<minor>[letter]` compute the "loose intersection" with the
# `TGT_CUDA_ARCHS` list of gencodes. We also support the `+PTX` suffix in
# `SRC_CUDA_ARCHS` which indicates that the PTX code should be built when there
# is a CUDA_ARCH in `TGT_CUDA_ARCHS` that is equal to or larger than the
# architecture in `SRC_CUDA_ARCHS`.
# The loose intersection is defined as:
# { max{ x \in tgt | x <= y } | y \in src, { x \in tgt | x <= y } != {} }
# where `<=` is the version comparison operator.
# In other words, for each version in `TGT_CUDA_ARCHS` find the highest version
# in `SRC_CUDA_ARCHS` that is less or equal to the version in `TGT_CUDA_ARCHS`.
# We have special handling for x.0a, if x.0a is in `SRC_CUDA_ARCHS` and x.0 is
# in `TGT_CUDA_ARCHS` then we should remove x.0a from `SRC_CUDA_ARCHS` and add
# x.0a to the result (and remove x.0 from TGT_CUDA_ARCHS).
# The result is stored in `OUT_CUDA_ARCHS`.
#
# Example:
# SRC_CUDA_ARCHS="7.5;8.0;8.6;9.0;9.0a"
# TGT_CUDA_ARCHS="8.0;8.9;9.0"
# cuda_archs_loose_intersection(OUT_CUDA_ARCHS SRC_CUDA_ARCHS TGT_CUDA_ARCHS)
# OUT_CUDA_ARCHS="8.0;8.6;9.0;9.0a"
#
# Example With PTX:
# SRC_CUDA_ARCHS="8.0+PTX"
# TGT_CUDA_ARCHS="9.0"
# cuda_archs_loose_intersection(OUT_CUDA_ARCHS SRC_CUDA_ARCHS TGT_CUDA_ARCHS)
# OUT_CUDA_ARCHS="8.0+PTX"
#
function(cuda_archs_loose_intersection OUT_CUDA_ARCHS SRC_CUDA_ARCHS TGT_CUDA_ARCHS)
set(_SRC_CUDA_ARCHS "${SRC_CUDA_ARCHS}")
set(_TGT_CUDA_ARCHS ${TGT_CUDA_ARCHS})
# handle +PTX suffix: separate base arch for matching, record PTX requests
set(_PTX_ARCHS)
foreach(_arch ${_SRC_CUDA_ARCHS})
if(_arch MATCHES "\\+PTX$")
string(REPLACE "+PTX" "" _base "${_arch}")
list(APPEND _PTX_ARCHS "${_base}")
list(REMOVE_ITEM _SRC_CUDA_ARCHS "${_arch}")
list(APPEND _SRC_CUDA_ARCHS "${_base}")
endif()
endforeach()
list(REMOVE_DUPLICATES _PTX_ARCHS)
list(REMOVE_DUPLICATES _SRC_CUDA_ARCHS)
# If x.0a or x.0f is in SRC_CUDA_ARCHS and x.0 is in CUDA_ARCHS then we should
# remove x.0a or x.0f from SRC_CUDA_ARCHS and add x.0a or x.0f to _CUDA_ARCHS
set(_CUDA_ARCHS)
foreach(_arch ${_SRC_CUDA_ARCHS})
if(_arch MATCHES "[af]$")
list(REMOVE_ITEM _SRC_CUDA_ARCHS "${_arch}")
string(REGEX REPLACE "[af]$" "" _base "${_arch}")
if ("${_base}" IN_LIST TGT_CUDA_ARCHS)
list(REMOVE_ITEM _TGT_CUDA_ARCHS "${_base}")
list(APPEND _CUDA_ARCHS "${_arch}")
endif()
endif()
endforeach()
list(SORT _SRC_CUDA_ARCHS COMPARE NATURAL ORDER ASCENDING)
# for each ARCH in TGT_CUDA_ARCHS find the highest arch in SRC_CUDA_ARCHS that
# is less or equal to ARCH (but has the same major version since SASS binary
# compatibility is only forward compatible within the same major version).
foreach(_ARCH ${_TGT_CUDA_ARCHS})
set(_TMP_ARCH)
# Extract the major version of the target arch
string(REGEX REPLACE "^([0-9]+)\\..*$" "\\1" TGT_ARCH_MAJOR "${_ARCH}")
foreach(_SRC_ARCH ${_SRC_CUDA_ARCHS})
# Extract the major version of the source arch
string(REGEX REPLACE "^([0-9]+)\\..*$" "\\1" SRC_ARCH_MAJOR "${_SRC_ARCH}")
# Check version-less-or-equal, and allow PTX arches to match across majors
if (_SRC_ARCH VERSION_LESS_EQUAL _ARCH)
if (_SRC_ARCH IN_LIST _PTX_ARCHS OR SRC_ARCH_MAJOR STREQUAL TGT_ARCH_MAJOR)
set(_TMP_ARCH "${_SRC_ARCH}")
endif()
else()
# If we hit a version greater than the target, we can break
break()
endif()
endforeach()
# If we found a matching _TMP_ARCH, append it to _CUDA_ARCHS
if (_TMP_ARCH)
list(APPEND _CUDA_ARCHS "${_TMP_ARCH}")
endif()
endforeach()
list(REMOVE_DUPLICATES _CUDA_ARCHS)
# reapply +PTX suffix to architectures that requested PTX
set(_FINAL_ARCHS)
foreach(_arch ${_CUDA_ARCHS})
if(_arch IN_LIST _PTX_ARCHS)
list(APPEND _FINAL_ARCHS "${_arch}+PTX")
else()
list(APPEND _FINAL_ARCHS "${_arch}")
endif()
endforeach()
set(_CUDA_ARCHS ${_FINAL_ARCHS})
list(SORT _CUDA_ARCHS COMPARE NATURAL ORDER ASCENDING)
set(${OUT_CUDA_ARCHS} ${_CUDA_ARCHS} PARENT_SCOPE)
endfunction()
#
# For the given `SRC_ROCM_ARCHS` list of architecture versions in the form
# `<name>` compute the "loose intersection" with the `TGT_ROCM_ARCHS` list.
# The loose intersection is defined as:
# { max{ x \in tgt | x <= y } | y \in src, { x \in tgt | x <= y } != {} }
# where `<=` is the version comparison operator.
# In other words, for each version in `TGT_ROCM_ARCHS` find the highest version
# in `SRC_ROCM_ARCHS` that is less or equal to the version in `TGT_ROCM_ARCHS`.
# The result is stored in `OUT_ROCM_ARCHS`.
#
# Example:
# SRC_ROCM_ARCHS="gfx900;gfx906;gfx908;gfx90a"
# TGT_ROCM_ARCHS="gfx906;gfx908;gfx1030"
# hip_archs_loose_intersection(OUT_ROCM_ARCHS SRC_ROCM_ARCHS TGT_ROCM_ARCHS)
# OUT_ROCM_ARCHS="gfx906;gfx908"
#
function(hip_archs_loose_intersection OUT_ROCM_ARCHS SRC_ROCM_ARCHS TGT_ROCM_ARCHS)
list(REMOVE_DUPLICATES SRC_ROCM_ARCHS)
# ROCm architectures are typically in format gfxNNN or gfxNNNx where N is a digit
# and x is a letter. We can sort them by string comparison which works for this format.
list(SORT SRC_ROCM_ARCHS COMPARE STRING ORDER ASCENDING)
set(_ROCM_ARCHS)
# Find the intersection of supported architectures
foreach(_SRC_ARCH ${SRC_ROCM_ARCHS})
if(_SRC_ARCH IN_LIST TGT_ROCM_ARCHS)
list(APPEND _ROCM_ARCHS ${_SRC_ARCH})
endif()
endforeach()
list(REMOVE_DUPLICATES _ROCM_ARCHS)
set(${OUT_ROCM_ARCHS} ${_ROCM_ARCHS} PARENT_SCOPE)
endfunction()
function(cuda_remove_ptx_suffixes OUT_CUDA_ARCHS CUDA_ARCHS)
set(_CUDA_ARCHS "${CUDA_ARCHS}")
# handle +PTX suffix: separate base arch for matching, record PTX requests
foreach(_arch ${CUDA_ARCHS})
if(_arch MATCHES "\\+PTX$")
string(REPLACE "+PTX" "" _base "${_arch}")
list(REMOVE_ITEM _CUDA_ARCHS "${_arch}")
list(APPEND _CUDA_ARCHS "${_base}")
endif()
endforeach()
list(REMOVE_DUPLICATES _CUDA_ARCHS)
list(SORT _CUDA_ARCHS COMPARE NATURAL ORDER ASCENDING)
set(${OUT_CUDA_ARCHS} ${_CUDA_ARCHS} PARENT_SCOPE)
endfunction()
#
# Define a target named `GPU_MOD_NAME` for a single extension. The
# arguments are:
#
# DESTINATION <dest> - Module destination directory.
# LANGUAGE <lang> - The GPU language for this module, e.g CUDA, HIP,
# etc.
# SOURCES <sources> - List of source files relative to CMakeLists.txt
# directory.
#
# Optional arguments:
#
# ARCHITECTURES <arches> - A list of target GPU architectures in cmake
# format.
# Refer `CMAKE_CUDA_ARCHITECTURES` documentation
# and `CMAKE_HIP_ARCHITECTURES` for more info.
# ARCHITECTURES will use cmake's defaults if
# not provided.
# COMPILE_FLAGS <flags> - Extra compiler flags passed to NVCC/hip.
# INCLUDE_DIRECTORIES <dirs> - Extra include directories.
# LIBRARIES <libraries> - Extra link libraries.
# WITH_SOABI - Generate library with python SOABI suffix name.
# USE_SABI <version> - Use python stable api <version>
#
# Note: optimization level/debug info is set via cmake build type.
#
function (define_gpu_extension_target GPU_MOD_NAME)
cmake_parse_arguments(PARSE_ARGV 1
GPU
"WITH_SOABI"
"DESTINATION;LANGUAGE;USE_SABI"
"SOURCES;COMPILE_FLAGS;INCLUDE_DIRECTORIES;LIBRARIES")
# Add hipify preprocessing step when building with HIP/ROCm.
if (GPU_LANGUAGE STREQUAL "HIP")
hipify_sources_target(GPU_SOURCES ${GPU_MOD_NAME} "${GPU_SOURCES}")
endif()
if (GPU_WITH_SOABI)
set(GPU_WITH_SOABI WITH_SOABI)
else()
set(GPU_WITH_SOABI)
endif()
if (GPU_USE_SABI)
Python3_add_library(${GPU_MOD_NAME} MODULE USE_SABI ${GPU_USE_SABI} ${GPU_WITH_SOABI} "${GPU_SOURCES}")
else()
Python3_add_library(${GPU_MOD_NAME} MODULE ${GPU_WITH_SOABI} "${GPU_SOURCES}")
endif()
if (GPU_LANGUAGE STREQUAL "HIP")
# Make this target dependent on the hipify preprocessor step.
add_dependencies(${GPU_MOD_NAME} hipify${GPU_MOD_NAME})
# Clear target architectures, we are passing arch flags per source file.
set_property(TARGET ${GPU_MOD_NAME} PROPERTY HIP_ARCHITECTURES off)
endif()
if (TORCH_VERSION VERSION_LESS 2.12.0)
set_property(TARGET ${GPU_MOD_NAME} PROPERTY CXX_STANDARD 17)
else()
set_property(TARGET ${GPU_MOD_NAME} PROPERTY CXX_STANDARD 20)
endif()
target_compile_options(${GPU_MOD_NAME} PRIVATE
$<$<COMPILE_LANGUAGE:${GPU_LANGUAGE}>:${GPU_COMPILE_FLAGS}>)
target_compile_definitions(${GPU_MOD_NAME} PRIVATE
"-DTORCH_EXTENSION_NAME=${GPU_MOD_NAME}")
target_include_directories(${GPU_MOD_NAME} PRIVATE csrc
${GPU_INCLUDE_DIRECTORIES})
target_link_libraries(${GPU_MOD_NAME} PRIVATE torch ${GPU_LIBRARIES})
# Don't use `TORCH_LIBRARIES` for CUDA since it pulls in a bunch of
# dependencies that are not necessary and may not be installed.
if (GPU_LANGUAGE STREQUAL "CUDA")
target_link_libraries(${GPU_MOD_NAME} PRIVATE CUDA::cudart)
else()
target_link_libraries(${GPU_MOD_NAME} PRIVATE ${TORCH_LIBRARIES})
endif()
install(TARGETS ${GPU_MOD_NAME} LIBRARY DESTINATION ${GPU_DESTINATION} COMPONENT ${GPU_MOD_NAME})
endfunction()
# Map a GPU language to its backend name.
#
# Arguments:
# OUT_BACKEND - Output variable name for the backend string
# GPU_LANG - The GPU language (CPU, CUDA, HIP, METAL, SYCL)
#
function(gpu_lang_to_backend OUT_BACKEND GPU_LANG)
if (${GPU_LANG} STREQUAL "CPU")
set(_BACKEND "cpu")
elseif (${GPU_LANG} STREQUAL "CUDA")
set(_BACKEND "cuda")
elseif (${GPU_LANG} STREQUAL "HIP")
set(_BACKEND "rocm")
elseif (${GPU_LANG} STREQUAL "METAL")
set(_BACKEND "metal")
elseif (${GPU_LANG} STREQUAL "SYCL")
set(_BACKEND "xpu")
else()
message(FATAL_ERROR "Unsupported GPU_LANG: ${GPU_LANG}")
endif()
set(${OUT_BACKEND} "${_BACKEND}" PARENT_SCOPE)
endfunction()
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