import torch from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension, CUDA_HOME from setuptools import setup, find_packages import subprocess import sys import warnings import os PYTORCH_HOME = os.path.abspath(os.environ['PYTORCH_HOME']) if 'PYTORCH_HOME' in os.environ else None # ninja build does not work unless include_dirs are abs path this_dir = os.path.dirname(os.path.abspath(__file__)) 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 check_cuda_torch_binary_vs_bare_metal(cuda_dir): raw_output, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(cuda_dir) torch_binary_major = torch.version.cuda.split(".")[0] torch_binary_minor = torch.version.cuda.split(".")[1] print("\nCompiling cuda extensions with") print(raw_output + "from " + cuda_dir + "/bin\n") if (bare_metal_major != torch_binary_major) or (bare_metal_minor != torch_binary_minor): raise RuntimeError( "Cuda extensions are being compiled with a version of Cuda that does " "not match the version used to compile Pytorch binaries. " "Pytorch binaries were compiled with Cuda {}.\n".format(torch.version.cuda) + "In some cases, a minor-version mismatch will not cause later errors: " "https://github.com/NVIDIA/apex/pull/323#discussion_r287021798. " "You can try commenting out this check (at your own risk)." ) def raise_if_cuda_home_none(global_option: str) -> None: if CUDA_HOME is not None: return raise RuntimeError( f"{global_option} was requested, but nvcc was not found. Are you sure your environment has nvcc available? " "If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, " "only images whose names contain 'devel' will provide nvcc." ) def append_nvcc_threads(nvcc_extra_args): _, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(CUDA_HOME) if int(bare_metal_major) >= 11 and int(bare_metal_minor) >= 2: return nvcc_extra_args + ["--threads", "4"] return nvcc_extra_args def check_cudnn_version_and_warn(global_option: str, required_cudnn_version: int) -> bool: cudnn_available = torch.backends.cudnn.is_available() cudnn_version = torch.backends.cudnn.version() if cudnn_available else None if not (cudnn_available and (cudnn_version >= required_cudnn_version)): warnings.warn( f"Skip `{global_option}` as it requires cuDNN {required_cudnn_version} or later, " f"but {'cuDNN is not available' if not cudnn_available else cudnn_version}" ) return False return True if not torch.cuda.is_available(): # https://github.com/NVIDIA/apex/issues/486 # Extension builds after https://github.com/pytorch/pytorch/pull/23408 attempt to query torch.cuda.get_device_capability(), # which will fail if you are compiling in an environment without visible GPUs (e.g. during an nvidia-docker build command). print( "\nWarning: Torch did not find available GPUs on this system.\n", "If your intention is to cross-compile, this is not an error.\n" "By default, Apex will cross-compile for Pascal (compute capabilities 6.0, 6.1, 6.2),\n" "Volta (compute capability 7.0), Turing (compute capability 7.5),\n" "and, if the CUDA version is >= 11.0, Ampere (compute capability 8.0).\n" "If you wish to cross-compile for a single specific architecture,\n" 'export TORCH_CUDA_ARCH_LIST="compute capability" before running setup.py.\n', ) if os.environ.get("TORCH_CUDA_ARCH_LIST", None) is None: _, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(CUDA_HOME) if int(bare_metal_major) == 11: os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5;8.0" if int(bare_metal_minor) > 0: os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5;8.0;8.6" else: os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5" print("\n\ntorch.__version__ = {}\n\n".format(torch.__version__)) TORCH_MAJOR = int(torch.__version__.split(".")[0]) TORCH_MINOR = int(torch.__version__.split(".")[1]) if TORCH_MAJOR == 0 and TORCH_MINOR < 4: raise RuntimeError( "Apex requires Pytorch 0.4 or newer.\nThe latest stable release can be obtained from https://pytorch.org/" ) cmdclass = {} ext_modules = [] extras = {} if "--pyprof" in sys.argv: string = ( "\n\nPyprof has been moved to its own dedicated repository and will " "soon be removed from Apex. Please visit\n" "https://github.com/NVIDIA/PyProf\n" "for the latest version." ) warnings.warn(string, DeprecationWarning) with open("requirements.txt") as f: required_packages = f.read().splitlines() extras["pyprof"] = required_packages sys.argv.remove("--pyprof") else: warnings.warn("Option --pyprof not specified. Not installing PyProf dependencies!") if "--cpp_ext" in sys.argv or "--cuda_ext" in sys.argv: if TORCH_MAJOR == 0: raise RuntimeError( "--cpp_ext requires Pytorch 1.0 or later, " "found torch.__version__ = {}".format(torch.__version__) ) if "--cpp_ext" in sys.argv: sys.argv.remove("--cpp_ext") ext_modules.append(CppExtension("apex_C", ["csrc/flatten_unflatten.cpp"])) # Set up macros for forward/backward compatibility hack around # https://github.com/pytorch/pytorch/commit/4404762d7dd955383acee92e6f06b48144a0742e # and # https://github.com/NVIDIA/apex/issues/456 # https://github.com/pytorch/pytorch/commit/eb7b39e02f7d75c26d8a795ea8c7fd911334da7e#diff-4632522f237f1e4e728cb824300403ac version_ge_1_1 = [] if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 0): version_ge_1_1 = ["-DVERSION_GE_1_1"] version_ge_1_3 = [] if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 2): version_ge_1_3 = ["-DVERSION_GE_1_3"] version_ge_1_5 = [] if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 4): version_ge_1_5 = ["-DVERSION_GE_1_5"] version_dependent_macros = version_ge_1_1 + version_ge_1_3 + version_ge_1_5 if "--distributed_adam" in sys.argv: sys.argv.remove("--distributed_adam") raise_if_cuda_home_none("--distributed_adam") ext_modules.append( CUDAExtension( name="distributed_adam_cuda", sources=[ "apex/contrib/csrc/optimizers/multi_tensor_distopt_adam.cpp", "apex/contrib/csrc/optimizers/multi_tensor_distopt_adam_kernel.cu", ], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3", "--use_fast_math"] + version_dependent_macros), }, ) ) if "--distributed_lamb" in sys.argv: sys.argv.remove("--distributed_lamb") raise_if_cuda_home_none("--distributed_lamb") ext_modules.append( CUDAExtension( name="distributed_lamb_cuda", sources=[ "apex/contrib/csrc/optimizers/multi_tensor_distopt_lamb.cpp", "apex/contrib/csrc/optimizers/multi_tensor_distopt_lamb_kernel.cu", ], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3", "--use_fast_math"] + version_dependent_macros), }, ) ) if "--cuda_ext" in sys.argv: sys.argv.remove("--cuda_ext") raise_if_cuda_home_none("--cuda_ext") check_cuda_torch_binary_vs_bare_metal(CUDA_HOME) ext_modules.append( CUDAExtension( name="amp_C", sources=[ "csrc/amp_C_frontend.cpp", "csrc/multi_tensor_sgd_kernel.cu", "csrc/multi_tensor_scale_kernel.cu", "csrc/multi_tensor_axpby_kernel.cu", "csrc/multi_tensor_l2norm_kernel.cu", "csrc/multi_tensor_l2norm_kernel_mp.cu", "csrc/multi_tensor_l2norm_scale_kernel.cu", "csrc/multi_tensor_lamb_stage_1.cu", "csrc/multi_tensor_lamb_stage_2.cu", "csrc/multi_tensor_adam.cu", "csrc/multi_tensor_adagrad.cu", "csrc/multi_tensor_novograd.cu", "csrc/multi_tensor_lamb.cu", "csrc/multi_tensor_lamb_mp.cu", ], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads( [ "-lineinfo", "-O3", # '--resource-usage', "--use_fast_math", ] + version_dependent_macros ), }, ) ) ext_modules.append( CUDAExtension( name="syncbn", sources=["csrc/syncbn.cpp", "csrc/welford.cu"], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros), }, ) ) ext_modules.append( CUDAExtension( name="fused_layer_norm_cuda", sources=["csrc/layer_norm_cuda.cpp", "csrc/layer_norm_cuda_kernel.cu"], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-maxrregcount=50", "-O3", "--use_fast_math"] + version_dependent_macros), }, ) ) ext_modules.append( CUDAExtension( name="mlp_cuda", sources=["csrc/mlp.cpp", "csrc/mlp_cuda.cu"], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros), }, ) ) ext_modules.append( CUDAExtension( name="fused_dense_cuda", sources=["csrc/fused_dense.cpp", "csrc/fused_dense_cuda.cu"], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros), }, ) ) ext_modules.append( CUDAExtension( name="scaled_upper_triang_masked_softmax_cuda", sources=[ "csrc/megatron/scaled_upper_triang_masked_softmax.cpp", "csrc/megatron/scaled_upper_triang_masked_softmax_cuda.cu", ], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads( [ "-O3", "-U__CUDA_NO_HALF_OPERATORS__", "-U__CUDA_NO_HALF_CONVERSIONS__", "--expt-relaxed-constexpr", "--expt-extended-lambda", ] + version_dependent_macros ), }, ) ) ext_modules.append( CUDAExtension( name="scaled_masked_softmax_cuda", sources=["csrc/megatron/scaled_masked_softmax.cpp", "csrc/megatron/scaled_masked_softmax_cuda.cu"], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads( [ "-O3", "-U__CUDA_NO_HALF_OPERATORS__", "-U__CUDA_NO_HALF_CONVERSIONS__", "--expt-relaxed-constexpr", "--expt-extended-lambda", ] + version_dependent_macros ), }, ) ) # Check, if CUDA11 is installed for compute capability 8.0 _, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(CUDA_HOME) if int(bare_metal_major) >= 11: cc_flag = [] cc_flag.append("-gencode") cc_flag.append("arch=compute_80,code=sm_80") if int(bare_metal_minor) > 0: cc_flag.append("-gencode") cc_flag.append("arch=compute_86,code=sm_86") ext_modules.append( CUDAExtension( name="fused_weight_gradient_mlp_cuda", include_dirs=[os.path.join(this_dir, "csrc")], sources=[ "csrc/megatron/fused_weight_gradient_dense.cpp", "csrc/megatron/fused_weight_gradient_dense_cuda.cu", "csrc/megatron/fused_weight_gradient_dense_16bit_prec_cuda.cu", ], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads( [ "-O3", "-gencode", "arch=compute_70,code=sm_70", "-U__CUDA_NO_HALF_OPERATORS__", "-U__CUDA_NO_HALF_CONVERSIONS__", "--expt-relaxed-constexpr", "--expt-extended-lambda", "--use_fast_math", ] + version_dependent_macros + cc_flag ), }, ) ) if PYTORCH_HOME is not None and os.path.exists(PYTORCH_HOME): print(PYTORCH_HOME) ext_modules.append( CUDAExtension('instance_norm_nvfuser_cuda', ['csrc/instance_norm_nvfuser.cpp', 'csrc/instance_norm_nvfuser_kernel.cu'], extra_compile_args={"cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros + [f"-I {PYTORCH_HOME}"])}, ) ) if "--permutation_search" in sys.argv: sys.argv.remove("--permutation_search") if CUDA_HOME is None: raise RuntimeError("--permutation_search was requested, but nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.") else: cc_flag = ['-Xcompiler', '-fPIC', '-shared'] ext_modules.append( CUDAExtension(name='permutation_search_cuda', sources=['apex/contrib/sparsity/permutation_search_kernels/CUDA_kernels/permutation_search_kernels.cu'], include_dirs=[os.path.join(this_dir, 'apex', 'contrib', 'sparsity', 'permutation_search_kernels', 'CUDA_kernels')], extra_compile_args={'cxx': ['-O3'] + version_dependent_macros, 'nvcc':['-O3'] + version_dependent_macros + cc_flag})) if "--bnp" in sys.argv: sys.argv.remove("--bnp") raise_if_cuda_home_none("--bnp") ext_modules.append( CUDAExtension( name="bnp", sources=[ "apex/contrib/csrc/groupbn/batch_norm.cu", "apex/contrib/csrc/groupbn/ipc.cu", "apex/contrib/csrc/groupbn/interface.cpp", "apex/contrib/csrc/groupbn/batch_norm_add_relu.cu", ], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": [] + version_dependent_macros, "nvcc": append_nvcc_threads( [ "-DCUDA_HAS_FP16=1", "-D__CUDA_NO_HALF_OPERATORS__", "-D__CUDA_NO_HALF_CONVERSIONS__", "-D__CUDA_NO_HALF2_OPERATORS__", ] + version_dependent_macros ), }, ) ) if "--xentropy" in sys.argv: sys.argv.remove("--xentropy") raise_if_cuda_home_none("--xentropy") ext_modules.append( CUDAExtension( name="xentropy_cuda", sources=["apex/contrib/csrc/xentropy/interface.cpp", "apex/contrib/csrc/xentropy/xentropy_kernel.cu"], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros), }, ) ) if "--focal_loss" in sys.argv: sys.argv.remove("--focal_loss") raise_if_cuda_home_none("--focal_loss") ext_modules.append( CUDAExtension( name='focal_loss_cuda', sources=[ 'apex/contrib/csrc/focal_loss/focal_loss_cuda.cpp', 'apex/contrib/csrc/focal_loss/focal_loss_cuda_kernel.cu', ], include_dirs=[os.path.join(this_dir, 'csrc')], extra_compile_args={ 'cxx': ['-O3'] + version_dependent_macros, 'nvcc':['-O3', '--use_fast_math', '--ftz=false'] + version_dependent_macros, }, ) ) if "--deprecated_fused_adam" in sys.argv: sys.argv.remove("--deprecated_fused_adam") raise_if_cuda_home_none("--deprecated_fused_adam") ext_modules.append( CUDAExtension( name="fused_adam_cuda", sources=[ "apex/contrib/csrc/optimizers/fused_adam_cuda.cpp", "apex/contrib/csrc/optimizers/fused_adam_cuda_kernel.cu", ], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3", "--use_fast_math"] + version_dependent_macros), }, ) ) if "--deprecated_fused_lamb" in sys.argv: sys.argv.remove("--deprecated_fused_lamb") raise_if_cuda_home_none("--deprecated_fused_lamb") ext_modules.append( CUDAExtension( name="fused_lamb_cuda", sources=[ "apex/contrib/csrc/optimizers/fused_lamb_cuda.cpp", "apex/contrib/csrc/optimizers/fused_lamb_cuda_kernel.cu", "csrc/multi_tensor_l2norm_kernel.cu", ], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3", "--use_fast_math"] + version_dependent_macros), }, ) ) # Check, if ATen/CUDAGeneratorImpl.h is found, otherwise use ATen/cuda/CUDAGeneratorImpl.h # See https://github.com/pytorch/pytorch/pull/70650 generator_flag = [] torch_dir = torch.__path__[0] if os.path.exists(os.path.join(torch_dir, "include", "ATen", "CUDAGeneratorImpl.h")): generator_flag = ["-DOLD_GENERATOR_PATH"] if "--fast_layer_norm" in sys.argv: sys.argv.remove("--fast_layer_norm") raise_if_cuda_home_none("--fast_layer_norm") # Check, if CUDA11 is installed for compute capability 8.0 cc_flag = [] _, bare_metal_major, _ = get_cuda_bare_metal_version(CUDA_HOME) if int(bare_metal_major) >= 11: cc_flag.append("-gencode") cc_flag.append("arch=compute_80,code=sm_80") ext_modules.append( CUDAExtension( name="fast_layer_norm", sources=[ "apex/contrib/csrc/layer_norm/ln_api.cpp", "apex/contrib/csrc/layer_norm/ln_fwd_cuda_kernel.cu", "apex/contrib/csrc/layer_norm/ln_bwd_semi_cuda_kernel.cu", ], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros + generator_flag, "nvcc": append_nvcc_threads( [ "-O3", "-gencode", "arch=compute_70,code=sm_70", "-U__CUDA_NO_HALF_OPERATORS__", "-U__CUDA_NO_HALF_CONVERSIONS__", "-U__CUDA_NO_BFLOAT16_OPERATORS__", "-U__CUDA_NO_BFLOAT16_CONVERSIONS__", "-U__CUDA_NO_BFLOAT162_OPERATORS__", "-U__CUDA_NO_BFLOAT162_CONVERSIONS__", "-I./apex/contrib/csrc/layer_norm/", "--expt-relaxed-constexpr", "--expt-extended-lambda", "--use_fast_math", ] + version_dependent_macros + generator_flag + cc_flag ), }, include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/layer_norm")], ) ) if "--fmha" in sys.argv: sys.argv.remove("--fmha") raise_if_cuda_home_none("--fmha") # Check, if CUDA11 is installed for compute capability 8.0 cc_flag = [] _, bare_metal_major, _ = get_cuda_bare_metal_version(CUDA_HOME) if int(bare_metal_major) < 11: raise RuntimeError("--fmha only supported on SM80") cc_flag.append("-gencode") cc_flag.append("arch=compute_80,code=sm_80") ext_modules.append( CUDAExtension( name="fmhalib", sources=[ "apex/contrib/csrc/fmha/fmha_api.cpp", "apex/contrib/csrc/fmha/src/fmha_noloop_reduce.cu", "apex/contrib/csrc/fmha/src/fmha_fprop_fp16_128_64_kernel.sm80.cu", "apex/contrib/csrc/fmha/src/fmha_fprop_fp16_256_64_kernel.sm80.cu", "apex/contrib/csrc/fmha/src/fmha_fprop_fp16_384_64_kernel.sm80.cu", "apex/contrib/csrc/fmha/src/fmha_fprop_fp16_512_64_kernel.sm80.cu", "apex/contrib/csrc/fmha/src/fmha_dgrad_fp16_128_64_kernel.sm80.cu", "apex/contrib/csrc/fmha/src/fmha_dgrad_fp16_256_64_kernel.sm80.cu", "apex/contrib/csrc/fmha/src/fmha_dgrad_fp16_384_64_kernel.sm80.cu", "apex/contrib/csrc/fmha/src/fmha_dgrad_fp16_512_64_kernel.sm80.cu", ], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros + generator_flag, "nvcc": append_nvcc_threads( [ "-O3", "-U__CUDA_NO_HALF_OPERATORS__", "-U__CUDA_NO_HALF_CONVERSIONS__", "--expt-relaxed-constexpr", "--expt-extended-lambda", "--use_fast_math", ] + version_dependent_macros + generator_flag + cc_flag ), }, include_dirs=[ os.path.join(this_dir, "apex/contrib/csrc"), os.path.join(this_dir, "apex/contrib/csrc/fmha/src"), ], ) ) if "--fast_multihead_attn" in sys.argv: sys.argv.remove("--fast_multihead_attn") raise_if_cuda_home_none("--fast_multihead_attn") # Check, if CUDA11 is installed for compute capability 8.0 cc_flag = [] _, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(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) > 0: cc_flag.append("-gencode") cc_flag.append("arch=compute_86,code=sm_86") subprocess.run(["git", "submodule", "update", "--init", "apex/contrib/csrc/multihead_attn/cutlass"]) ext_modules.append( CUDAExtension( name="fast_multihead_attn", sources=[ "apex/contrib/csrc/multihead_attn/multihead_attn_frontend.cpp", "apex/contrib/csrc/multihead_attn/additive_masked_softmax_dropout_cuda.cu", "apex/contrib/csrc/multihead_attn/masked_softmax_dropout_cuda.cu", "apex/contrib/csrc/multihead_attn/encdec_multihead_attn_cuda.cu", "apex/contrib/csrc/multihead_attn/encdec_multihead_attn_norm_add_cuda.cu", "apex/contrib/csrc/multihead_attn/self_multihead_attn_cuda.cu", "apex/contrib/csrc/multihead_attn/self_multihead_attn_bias_additive_mask_cuda.cu", "apex/contrib/csrc/multihead_attn/self_multihead_attn_bias_cuda.cu", "apex/contrib/csrc/multihead_attn/self_multihead_attn_norm_add_cuda.cu", ], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros + generator_flag, "nvcc": append_nvcc_threads( [ "-O3", "-gencode", "arch=compute_70,code=sm_70", "-U__CUDA_NO_HALF_OPERATORS__", "-U__CUDA_NO_HALF_CONVERSIONS__", "--expt-relaxed-constexpr", "--expt-extended-lambda", "--use_fast_math", ] + version_dependent_macros + generator_flag + cc_flag ), }, include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/multihead_attn/cutlass")], ) ) if "--transducer" in sys.argv: sys.argv.remove("--transducer") raise_if_cuda_home_none("--transducer") ext_modules.append( CUDAExtension( name="transducer_joint_cuda", sources=[ "apex/contrib/csrc/transducer/transducer_joint.cpp", "apex/contrib/csrc/transducer/transducer_joint_kernel.cu", ], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros + generator_flag, "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros + generator_flag), }, include_dirs=[os.path.join(this_dir, "csrc"), os.path.join(this_dir, "apex/contrib/csrc/multihead_attn")], ) ) ext_modules.append( CUDAExtension( name="transducer_loss_cuda", sources=[ "apex/contrib/csrc/transducer/transducer_loss.cpp", "apex/contrib/csrc/transducer/transducer_loss_kernel.cu", ], include_dirs=[os.path.join(this_dir, "csrc")], extra_compile_args={ "cxx": ["-O3"] + version_dependent_macros, "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros), }, ) ) # note (mkozuki): Now `--fast_bottleneck` option (i.e. apex/contrib/bottleneck) depends on `--peer_memory` and `--nccl_p2p`. if "--fast_bottleneck" in sys.argv: sys.argv.remove("--fast_bottleneck") raise_if_cuda_home_none("--fast_bottleneck") if check_cudnn_version_and_warn("--fast_bottleneck", 8400): subprocess.run(["git", "submodule", "update", "--init", "apex/contrib/csrc/cudnn-frontend/"]) ext_modules.append( CUDAExtension( name="fast_bottleneck", sources=["apex/contrib/csrc/bottleneck/bottleneck.cpp"], include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/cudnn-frontend/include")], extra_compile_args={"cxx": ["-O3"] + version_dependent_macros + generator_flag}, ) ) if "--peer_memory" in sys.argv: sys.argv.remove("--peer_memory") raise_if_cuda_home_none("--peer_memory") ext_modules.append( CUDAExtension( name="peer_memory_cuda", sources=[ "apex/contrib/csrc/peer_memory/peer_memory_cuda.cu", "apex/contrib/csrc/peer_memory/peer_memory.cpp", ], extra_compile_args={"cxx": ["-O3"] + version_dependent_macros + generator_flag}, ) ) if "--nccl_p2p" in sys.argv: sys.argv.remove("--nccl_p2p") raise_if_cuda_home_none("--nccl_p2p") ext_modules.append( CUDAExtension( name="nccl_p2p_cuda", sources=[ "apex/contrib/csrc/nccl_p2p/nccl_p2p_cuda.cu", "apex/contrib/csrc/nccl_p2p/nccl_p2p.cpp", ], extra_compile_args={"cxx": ["-O3"] + version_dependent_macros + generator_flag}, ) ) if "--fused_conv_bias_relu" in sys.argv: sys.argv.remove("--fused_conv_bias_relu") raise_if_cuda_home_none("--fused_conv_bias_relu") if check_cudnn_version_and_warn("--fused_conv_bias_relu", 8400): subprocess.run(["git", "submodule", "update", "--init", "apex/contrib/csrc/cudnn-frontend/"]) ext_modules.append( CUDAExtension( name="fused_conv_bias_relu", sources=["apex/contrib/csrc/conv_bias_relu/conv_bias_relu.cpp"], include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/cudnn-frontend/include")], extra_compile_args={"cxx": ["-O3"] + version_dependent_macros + generator_flag}, ) ) setup( name="apex", version="0.1", packages=find_packages( exclude=("build", "csrc", "include", "tests", "dist", "docs", "tests", "examples", "apex.egg-info",) ), description="PyTorch Extensions written by NVIDIA", ext_modules=ext_modules, cmdclass={"build_ext": BuildExtension} if ext_modules else {}, extras_require=extras, )