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* indextts2 * update lfs for audio files --------- Co-authored-by: wangyining02 <wangyining02@bilibili.com>
121 lines
4 KiB
Python
121 lines
4 KiB
Python
# Copyright (c) 2024 NVIDIA CORPORATION.
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# Licensed under the MIT license.
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import os
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import pathlib
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import subprocess
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from torch.utils import cpp_extension
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"""
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Setting this param to a list has a problem of generating different compilation commands (with diferent order of architectures) and leading to recompilation of fused kernels.
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Set it to empty stringo avoid recompilation and assign arch flags explicity in extra_cuda_cflags below
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"""
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os.environ["TORCH_CUDA_ARCH_LIST"] = ""
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import re
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import shutil
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import tempfile
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# 补丁修复:sources 路径含中文字符时,生成 build.ninja 乱码导致编译失败
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# 使用临时目录来规避 ninja 编译失败(比如中文路径)
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def chinese_path_compile_support(sources, buildpath):
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pattern = re.compile(r'[\u4e00-\u9fff]')
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if not bool(pattern.search(str(sources[0].resolve()))):
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return buildpath # 检测非中文路径跳过
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# Create build directory
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resolves = [ item.name for item in sources]
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ninja_compile_dir = os.path.join(tempfile.gettempdir(), "BigVGAN", "cuda")
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os.makedirs(ninja_compile_dir, exist_ok=True)
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new_buildpath = os.path.join(ninja_compile_dir, "build")
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os.makedirs(new_buildpath, exist_ok=True)
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print(f"ninja_buildpath: {new_buildpath}")
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# Copy files to directory
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sources.clear()
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current_dir = os.path.dirname(__file__)
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ALLOWED_EXTENSIONS = {'.py', '.cu', '.cpp', '.h'}
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for filename in os.listdir(current_dir):
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item = pathlib.Path(current_dir).joinpath(filename)
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tar_path = pathlib.Path(ninja_compile_dir).joinpath(item.name)
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if not item.suffix.lower() in ALLOWED_EXTENSIONS:continue
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pathlib.Path(shutil.copy2(item, tar_path))
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if tar_path.name in resolves:sources.append(tar_path)
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return new_buildpath
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def load():
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# Check if cuda 11 is installed for compute capability 8.0
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cc_flag = []
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_, bare_metal_major, _ = _get_cuda_bare_metal_version(cpp_extension.CUDA_HOME)
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if int(bare_metal_major) >= 11:
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cc_flag.append("-gencode")
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cc_flag.append("arch=compute_80,code=sm_80")
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# Build path
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srcpath = pathlib.Path(__file__).parent.absolute()
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buildpath = srcpath / "build"
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_create_build_dir(buildpath)
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# Helper function to build the kernels.
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def _cpp_extention_load_helper(name, sources, extra_cuda_flags):
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return cpp_extension.load(
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name=name,
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sources=sources,
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build_directory=buildpath,
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extra_cflags=[
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"-O3",
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],
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extra_cuda_cflags=[
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"-O3",
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"-gencode",
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"arch=compute_70,code=sm_70",
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"--use_fast_math",
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]
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+ extra_cuda_flags
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+ cc_flag,
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verbose=True,
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)
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extra_cuda_flags = [
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"-U__CUDA_NO_HALF_OPERATORS__",
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"-U__CUDA_NO_HALF_CONVERSIONS__",
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"--expt-relaxed-constexpr",
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"--expt-extended-lambda",
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]
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sources = [
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srcpath / "anti_alias_activation.cpp",
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srcpath / "anti_alias_activation_cuda.cu",
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]
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# 兼容方案:ninja 特殊字符路径编译支持处理(比如中文路径)
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buildpath = chinese_path_compile_support(sources, buildpath)
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anti_alias_activation_cuda = _cpp_extention_load_helper(
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"anti_alias_activation_cuda", sources, extra_cuda_flags
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)
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return anti_alias_activation_cuda
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def _get_cuda_bare_metal_version(cuda_dir):
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raw_output = subprocess.check_output(
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[cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True
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)
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output = raw_output.split()
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release_idx = output.index("release") + 1
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release = output[release_idx].split(".")
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bare_metal_major = release[0]
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bare_metal_minor = release[1][0]
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return raw_output, bare_metal_major, bare_metal_minor
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def _create_build_dir(buildpath):
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try:
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os.mkdir(buildpath)
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except OSError:
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if not os.path.isdir(buildpath):
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print(f"Creation of the build directory {buildpath} failed")
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