Upload apex-master/setup.py with huggingface_hub

apex-master/setup.py

@@ -0,0 +1,962 @@
+import sys
+import warnings
+import os
+import threading
+import glob
+from packaging.version import parse, Version
+
+from setuptools import setup, find_packages
+import subprocess
+
+import torch
+from torch.utils.cpp_extension import (
+    BuildExtension,
+    CppExtension,
+    CUDAExtension,
+    CUDA_HOME,
+    load,
+)
+
+# 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
+    bare_metal_version = parse(output[release_idx].split(",")[0])
+
+    return raw_output, bare_metal_version
+
+
+def check_cuda_torch_binary_vs_bare_metal(cuda_dir):
+    raw_output, bare_metal_version = get_cuda_bare_metal_version(cuda_dir)
+    torch_binary_version = parse(torch.version.cuda)
+
+    print("\nCompiling cuda extensions with")
+    print(raw_output + "from " + cuda_dir + "/bin\n")
+
+    if (bare_metal_version != torch_binary_version):
+        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 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) (until CUDA 12.8),\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, 8.6), and,\n"
+        "if the CUDA version is >= 12.8, Blackwell (compute capability 10.0, 12.0).\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 and CUDA_HOME is not None:
+        _, bare_metal_version = get_cuda_bare_metal_version(CUDA_HOME)
+        if bare_metal_version >= Version("12.8"):
+            os.environ["TORCH_CUDA_ARCH_LIST"] = "7.0;7.5;8.0;8.6;9.0;10.0;12.0"
+        elif bare_metal_version >= Version("11.8"):
+            os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5;8.0;8.6;9.0"
+        elif bare_metal_version >= Version("11.1"):
+            os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5;8.0;8.6"
+        elif bare_metal_version == Version("11.0"):
+            os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5;8.0"
+        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 "--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
+
+_, bare_metal_version = get_cuda_bare_metal_version(CUDA_HOME)
+
+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": ["-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": ["-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",
+                "csrc/update_scale_hysteresis.cu",
+            ],
+            extra_compile_args={
+                "cxx": ["-O3"] + version_dependent_macros,
+                "nvcc": [
+                    "-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": ["-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": ["-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": ["-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": ["-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": [
+                    "-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="generic_scaled_masked_softmax_cuda",
+            sources=[
+                "csrc/megatron/generic_scaled_masked_softmax.cpp",
+                "csrc/megatron/generic_scaled_masked_softmax_cuda.cu",
+            ],
+            include_dirs=[os.path.join(this_dir, "csrc")],
+            extra_compile_args={
+                "cxx": ["-O3"] + version_dependent_macros,
+                "nvcc": [
+                    "-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": [
+                    "-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_softmax_cuda",
+            sources=["csrc/megatron/scaled_softmax.cpp", "csrc/megatron/scaled_softmax_cuda.cu"],
+            include_dirs=[os.path.join(this_dir, "csrc")],
+            extra_compile_args={
+                "cxx": ["-O3"] + version_dependent_macros,
+                "nvcc": [
+                    "-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="fused_rotary_positional_embedding",
+            sources=[
+                "csrc/megatron/fused_rotary_positional_embedding.cpp",
+                "csrc/megatron/fused_rotary_positional_embedding_cuda.cu",
+            ],
+            include_dirs=[os.path.join(this_dir, "csrc")],
+            extra_compile_args={
+                "cxx": ["-O3"] + version_dependent_macros,
+                "nvcc": [
+                    "-O3",
+                    "-U__CUDA_NO_HALF_OPERATORS__",
+                    "-U__CUDA_NO_HALF_CONVERSIONS__",
+                    "--expt-relaxed-constexpr",
+                    "--expt-extended-lambda",
+                ] + version_dependent_macros,
+            },
+        )
+    )
+
+    if bare_metal_version >= Version("11.0"):
+
+        cc_flag = []
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_70,code=sm_70")
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_80,code=sm_80")
+        if bare_metal_version >= Version("11.1"):
+            cc_flag.append("-gencode")
+            cc_flag.append("arch=compute_86,code=sm_86")
+        if bare_metal_version >= Version("11.8"):
+            cc_flag.append("-gencode")
+            cc_flag.append("arch=compute_90,code=sm_90")
+        if bare_metal_version >= Version("12.8"):
+            cc_flag.append("-gencode")
+            cc_flag.append("arch=compute_100,code=sm_100")
+            cc_flag.append("-gencode")
+            cc_flag.append("arch=compute_120,code=sm_120")
+
+        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": [
+                        "-O3",
+                        "-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 "--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": [
+                    "-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:
+    from datetime import datetime
+    sys.argv.remove("--xentropy")
+    raise_if_cuda_home_none("--xentropy")
+    xentropy_ver = datetime.today().strftime("%y.%m.%d")
+    print(f"`--xentropy` setting version of {xentropy_ver}")
+    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 + [f'-DXENTROPY_VER="{xentropy_ver}"'],
+                "nvcc": ["-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 "--group_norm" in sys.argv:
+    sys.argv.remove("--group_norm")
+    raise_if_cuda_home_none("--group_norm")
+
+    # CUDA group norm supports from SM70
+    arch_flags = []
+    # FIXME: this needs to be done more cleanly
+    for arch in [70, 75, 80, 86, 90, 100, 120]:
+        arch_flag = f"-gencode=arch=compute_{arch},code=sm_{arch}"
+        arch_flags.append(arch_flag)
+    arch_flags.append(arch_flag)
+
+    ext_modules.append(
+        CUDAExtension(
+            name="group_norm_cuda",
+            sources=[
+                "apex/contrib/csrc/group_norm/group_norm_nhwc_op.cpp",
+            ] + glob.glob("apex/contrib/csrc/group_norm/*.cu"),
+            include_dirs=[os.path.join(this_dir, 'csrc')],
+            extra_compile_args={
+                "cxx": ["-O3", "-std=c++17"] + version_dependent_macros,
+                "nvcc": [
+                    "-O3", "-std=c++17", "--use_fast_math", "--ftz=false",
+                ] + arch_flags + version_dependent_macros,
+            },
+        )
+    )
+
+    # CUDA group norm V2 is tested on SM100
+    if bare_metal_version >= Version("12.8"):
+        arch_flags = ["-gencode=arch=compute_100,code=sm_100"]
+    else:
+        arch_flags = ["-gencode=arch=compute_90,code=compute_90"]
+
+    ext_modules.append(
+        CUDAExtension(
+            name="group_norm_v2_cuda",
+            sources=[
+                "apex/contrib/csrc/group_norm_v2/gn.cpp",
+                "apex/contrib/csrc/group_norm_v2/gn_cuda.cu",
+                "apex/contrib/csrc/group_norm_v2/gn_utils.cpp",
+            ] + glob.glob("apex/contrib/csrc/group_norm_v2/gn_cuda_inst_*.cu"),
+            extra_compile_args={
+                "cxx": ["-O2"] + version_dependent_macros,
+                "nvcc": [
+                    "-O2", "--use_fast_math", "--ftz=false",
+                    "-U__CUDA_NO_HALF_CONVERSIONS__",
+                    "-U__CUDA_NO_HALF_OPERATORS__",
+                    "-U__CUDA_NO_BFLOAT16_CONVERSIONS__",
+                    "-U__CUDA_NO_BFLOAT16_OPERATORS__",
+                ] + arch_flags + version_dependent_macros,
+            },
+        )
+    )
+
+if "--index_mul_2d" in sys.argv:
+    sys.argv.remove("--index_mul_2d")
+    raise_if_cuda_home_none("--index_mul_2d")
+    ext_modules.append(
+        CUDAExtension(
+            name='fused_index_mul_2d',
+            sources=[
+                'apex/contrib/csrc/index_mul_2d/index_mul_2d_cuda.cpp',
+                'apex/contrib/csrc/index_mul_2d/index_mul_2d_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": ["-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": ["-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")
+
+    cc_flag = []
+    cc_flag.append("-gencode")
+    cc_flag.append("arch=compute_70,code=sm_70")
+
+    if bare_metal_version >= Version("11.0"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_80,code=sm_80")
+    if bare_metal_version >= Version("11.8"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_90,code=sm_90")
+    if bare_metal_version >= Version("12.8"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_100,code=sm_100")
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_120,code=sm_120")
+
+    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": [
+                    "-O3",
+                    "-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")
+
+    if bare_metal_version < Version("11.0"):
+        raise RuntimeError("--fmha only supported on sm_80 and sm_90 GPUs")
+
+    cc_flag = []
+    cc_flag.append("-gencode")
+    cc_flag.append("arch=compute_80,code=sm_80")
+    if bare_metal_version >= Version("11.8"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_90,code=sm_90")
+    if bare_metal_version >= Version("12.8"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_100,code=sm_100")
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_120,code=sm_120")
+
+    ext_modules.append(
+        CUDAExtension(
+            name="fmhalib",
+            sources=[
+                "apex/contrib/csrc/fmha/fmha_api.cpp",
+                "apex/contrib/csrc/fmha/src/fmha_fill.cu",
+                "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": [
+                    "-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")
+
+    cc_flag = []
+    cc_flag.append("-gencode")
+    cc_flag.append("arch=compute_70,code=sm_70")
+
+    if bare_metal_version >= Version("11.0"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_80,code=sm_80")
+    if bare_metal_version >= Version("11.1"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_86,code=sm_86")
+    if bare_metal_version >= Version("11.8"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_90,code=sm_90")
+    if bare_metal_version >= Version("12.8"):
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_100,code=sm_100")
+        cc_flag.append("-gencode")
+        cc_flag.append("arch=compute_120,code=sm_120")
+
+    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": [
+                    "-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/multihead_attn/cutlass/include/"),
+                os.path.join(this_dir, "apex/contrib/csrc/multihead_attn/cutlass/tools/util/include")
+            ],
+        )
+    )
+
+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": ["-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": ["-O3"] + version_dependent_macros,
+            },
+        )
+    )
+
+if "--cudnn_gbn" in sys.argv:
+    sys.argv.remove("--cudnn_gbn")
+    raise_if_cuda_home_none("--cudnn_gbn")
+    if check_cudnn_version_and_warn("--cudnn_gbn", 8500):
+        subprocess.run(["git", "submodule", "update", "--init", "apex/contrib/csrc/cudnn-frontend/"])
+        ext_modules.append(
+            CUDAExtension(
+                name="cudnn_gbn_lib",
+                sources=[
+                    "apex/contrib/csrc/cudnn_gbn/norm_sample.cpp",
+                    "apex/contrib/csrc/cudnn_gbn/cudnn_gbn.cpp",
+                ],
+                include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/cudnn-frontend/include")],
+                extra_compile_args={"cxx": ["-O3", "-g"] + 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},
+        )
+    )
+
+# NOTE: Requires NCCL >= 2.10.3
+if "--nccl_p2p" in sys.argv:
+    sys.argv.remove("--nccl_p2p")
+    raise_if_cuda_home_none("--nccl_p2p")
+    # Check NCCL version.
+    _nccl_version_getter = load(
+        name="_nccl_version_getter",
+        sources=["apex/contrib/csrc/nccl_p2p/nccl_version.cpp", "apex/contrib/csrc/nccl_p2p/nccl_version_check.cu"],
+
+    )
+    _available_nccl_version = _nccl_version_getter.get_nccl_version()
+    if _available_nccl_version >= (2, 10):
+        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},
+            )
+        )
+    else:
+        warnings.warn(
+            f"Skip `--nccl_p2p` as it requires NCCL 2.10.3 or later, but {_available_nccl_version[0]}.{_available_nccl_version[1]}"
+        )
+
+# 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 "--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},
+            )
+        )
+
+
+if "--nccl_allocator" in sys.argv:
+    sys.argv.remove("--nccl_allocator")
+    raise_if_cuda_home_none("--nccl_allocator")
+    _nccl_version_getter = load(
+        name="_nccl_version_getter",
+        sources=["apex/contrib/csrc/nccl_p2p/nccl_version.cpp", "apex/contrib/csrc/nccl_p2p/nccl_version_check.cu"],
+    )
+    _available_nccl_version = _nccl_version_getter.get_nccl_version()
+    if _available_nccl_version >= (2, 19):
+        ext_modules.append(
+            CUDAExtension(
+                name="_apex_nccl_allocator",
+                sources=[
+                    "apex/contrib/csrc/nccl_allocator/NCCLAllocator.cpp",
+                ],
+                include_dirs=[os.path.join(this_dir, "apex/apex/contrib/csrc/nccl_allocator")],
+                libraries=["nccl"],
+                extra_compile_args={"cxx": ["-O3"] + version_dependent_macros + generator_flag},
+            )
+        )
+    else:
+        warnings.warn(
+            f"Skip `--nccl_allocator` as it requires NCCL 2.19 or later, but {_available_nccl_version[0]}.{_available_nccl_version[1]}"
+        )
+
+
+if "--gpu_direct_storage" in sys.argv:
+    sys.argv.remove("--gpu_direct_storage")
+    raise_if_cuda_home_none("--gpu_direct_storage")
+    ext_modules.append(
+        CUDAExtension(
+            name="_apex_gpu_direct_storage",
+            sources=["apex/contrib/csrc/gpu_direct_storage/gds.cpp", "apex/contrib/csrc/gpu_direct_storage/gds_pybind.cpp"],
+            include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/gpu_direct_storage")],
+            libraries=["cufile"],
+            extra_compile_args={"cxx": ["-O3"] + version_dependent_macros + generator_flag},
+        )
+    )
+
+
+# Patch because `setup.py bdist_wheel` and `setup.py develop` do not support the `parallel` option
+parallel = None
+if "--parallel" in sys.argv:
+    idx = sys.argv.index("--parallel")
+    parallel = int(sys.argv[idx + 1])
+    sys.argv.pop(idx + 1)
+    sys.argv.pop(idx)
+
+
+# Prevent file conflicts when multiple extensions are compiled simultaneously
+class BuildExtensionSeparateDir(BuildExtension):
+    build_extension_patch_lock = threading.Lock()
+    thread_ext_name_map = {}
+
+    def finalize_options(self):
+        if parallel is not None:
+            self.parallel = parallel
+        super().finalize_options()
+
+    def build_extension(self, ext):
+        with self.build_extension_patch_lock:
+            if not getattr(self.compiler, "_compile_separate_output_dir", False):
+                compile_orig = self.compiler.compile
+
+                def compile_new(*args, **kwargs):
+                    return compile_orig(*args, **{
+                        **kwargs,
+                        "output_dir": os.path.join(
+                            kwargs["output_dir"],
+                            self.thread_ext_name_map[threading.current_thread().ident]),
+                    })
+                self.compiler.compile = compile_new
+                self.compiler._compile_separate_output_dir = True
+        self.thread_ext_name_map[threading.current_thread().ident] = ext.name
+        objects = super().build_extension(ext)
+        return objects
+
+
+setup(
+    name="apex",
+    version="0.1",
+    packages=find_packages(
+        exclude=("build", "csrc", "include", "tests", "dist", "docs", "tests", "examples", "apex.egg-info",)
+    ),
+    install_requires=["packaging>20.6"],
+    description="PyTorch Extensions written by NVIDIA",
+    ext_modules=ext_modules,
+    cmdclass={"build_ext": BuildExtensionSeparateDir} if ext_modules else {},
+    extras_require=extras,
+)