# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. import os import pathlib import subprocess import torch from torch.utils import cpp_extension # 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. Set it to empty string # to avoid recompilation and assign arch flags explicity in # extra_cuda_cflags below os.environ["TORCH_CUDA_ARCH_LIST"] = "" def load(args): # Check if cuda 11 is installed for compute capability 8.0 cc_flag = [] if torch.version.hip is None: _, bare_metal_major, bare_metal_minor = _get_cuda_bare_metal_version( cpp_extension.CUDA_HOME) if int(bare_metal_major) >= 11: cc_flag.append('-gencode') cc_flag.append('arch=compute_80,code=sm_80') if int(bare_metal_minor) >= 1: cc_flag.append('-gencode') cc_flag.append('arch=compute_86,code=sm_86') if int(bare_metal_minor) >= 4: cc_flag.append('-gencode') cc_flag.append('arch=compute_87,code=sm_87') if int(bare_metal_minor) >= 8: cc_flag.append('-gencode') cc_flag.append('arch=compute_89,code=sm_89') if int(bare_metal_major) >= 12: cc_flag.append('-gencode') cc_flag.append('arch=compute_90,code=sm_90') # Build path srcpath = pathlib.Path(__file__).parent.absolute() buildpath = srcpath / 'build' _create_build_dir(buildpath) # Helper function to build the kernels. def _cpp_extention_load_helper(name, sources, extra_cuda_flags, extra_include_paths): if torch.version.hip is not None: extra_cuda_cflags=['-O3'] + extra_cuda_flags + cc_flag else: extra_cuda_cflags=['-O3', '-gencode', 'arch=compute_70,code=sm_70', '--use_fast_math'] + extra_cuda_flags + cc_flag return cpp_extension.load( name=name, sources=sources, build_directory=buildpath, extra_cflags=['-O3','-D__HIP_PLATFORM_AMD__',], extra_cuda_cflags=extra_cuda_cflags, extra_include_paths=extra_include_paths, verbose=(args.rank == 0) ) # ============== # Fused softmax. # ============== if torch.version.hip is not None: extra_include_paths=[os.path.abspath(srcpath)] else: extra_include_paths=[] if args.masked_softmax_fusion: if torch.version.hip is not None: extra_cuda_flags = ['-D__HIP_NO_HALF_OPERATORS__=1', '-D__HIP_NO_HALF_CONVERSIONS__=1'] else: extra_cuda_flags = ['-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '--expt-relaxed-constexpr', '--expt-extended-lambda'] # Upper triangular softmax. sources=[srcpath / 'scaled_upper_triang_masked_softmax.cpp', srcpath / 'scaled_upper_triang_masked_softmax_cuda.cu'] scaled_upper_triang_masked_softmax_cuda = _cpp_extention_load_helper( "scaled_upper_triang_masked_softmax_cuda", sources, extra_cuda_flags, extra_include_paths) # Masked softmax. sources=[srcpath / 'scaled_masked_softmax.cpp', srcpath / 'scaled_masked_softmax_cuda.cu'] scaled_masked_softmax_cuda = _cpp_extention_load_helper( "scaled_masked_softmax_cuda", sources, extra_cuda_flags, extra_include_paths) # Softmax sources=[srcpath / 'scaled_softmax.cpp', srcpath / 'scaled_softmax_cuda.cu'] scaled_softmax_cuda = _cpp_extention_load_helper( "scaled_softmax_cuda", sources, extra_cuda_flags, extra_include_paths) def _get_cuda_bare_metal_version(cuda_dir): raw_output = subprocess.check_output([cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True) output = raw_output.split() release_idx = output.index("release") + 1 release = output[release_idx].split(".") bare_metal_major = release[0] bare_metal_minor = release[1][0] return raw_output, bare_metal_major, bare_metal_minor def _create_build_dir(buildpath): try: os.mkdir(buildpath) except OSError: if not os.path.isdir(buildpath): print(f"Creation of the build directory {buildpath} failed")