Initial commit

fbshipit-source-id: ad58e416e3ceeca85fae0583308968d04e78fe0d

setup.py

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+#!/usr/bin/env python
+# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
+
+import glob
+import os
+from setuptools import find_packages, setup
+import torch
+from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
+
+
+def get_extensions():
+    this_dir = os.path.dirname(os.path.abspath(__file__))
+    extensions_dir = os.path.join(this_dir, "pytorch3d", "csrc")
+
+    main_source = os.path.join(extensions_dir, "ext.cpp")
+    sources = glob.glob(os.path.join(extensions_dir, "**", "*.cpp"))
+    source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu"))
+
+    sources = [main_source] + sources
+
+    extension = CppExtension
+
+    extra_compile_args = {"cxx": ["-std=c++17"]}
+    define_macros = []
+
+    if torch.cuda.is_available() and CUDA_HOME is not None:
+        extension = CUDAExtension
+        sources += source_cuda
+        define_macros += [("WITH_CUDA", None)]
+        extra_compile_args["nvcc"] = [
+            "-DCUDA_HAS_FP16=1",
+            "-D__CUDA_NO_HALF_OPERATORS__",
+            "-D__CUDA_NO_HALF_CONVERSIONS__",
+            "-D__CUDA_NO_HALF2_OPERATORS__",
+        ]
+
+        # It's better if pytorch can do this by default ..
+        CC = os.environ.get("CC", None)
+        if CC is not None:
+            extra_compile_args["nvcc"].append("-ccbin={}".format(CC))
+
+    sources = [os.path.join(extensions_dir, s) for s in sources]
+
+    include_dirs = [extensions_dir]
+
+    ext_modules = [
+        extension(
+            "pytorch3d._C",
+            sources,
+            include_dirs=include_dirs,
+            define_macros=define_macros,
+            extra_compile_args=extra_compile_args,
+        )
+    ]
+
+    return ext_modules
+
+
+setup(
+    name="pytorch3d",
+    version="0.1",
+    author="FAIR",
+    url="https://github.com/facebookresearch/pytorch3d",
+    description="PyTorch3d is FAIR's library of reusable components "
+    "for deep Learning with 3D data.",
+    packages=find_packages(exclude=("configs", "tests")),
+    install_requires=["torchvision>=0.4", "fvcore"],
+    extras_require={
+        "all": ["matplotlib", "tqdm>4.29.0", "imageio", "ipywidgets"],
+        "dev": ["flake8", "isort", "black==19.3b0"],
+    },
+    ext_modules=get_extensions(),
+    cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
+)