Initial commit

LICENSE.txt

+Copyright (c) 2020, NVIDIA Corporation. All rights reserved.
+
+
+Nvidia Source Code License (1-Way Commercial)
+
+=======================================================================
+
+1. Definitions
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+"Licensor" means any person or entity that distributes its Work.
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+this License.
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+=======================================================================

README.md

+## Nvdiffrast – Modular Primitives for High-Performance Differentiable Rendering
+
+![Teaser image](./docs/img/teaser.png)
+
+**Modular Primitives for High-Performance Differentiable Rendering**<br>
+Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila<br>
+[http://arxiv.org/abs/xxxx.yyyyy](http://arxiv.org/abs/xxxx.yyyyy)
+
+Nvdiffrast is a PyTorch/TensorFlow library that provides high-performance primitive operations for rasterization-based differentiable rendering.
+Please refer to &#x261E;&#x261E; [nvdiffrast documentation](https://nvlabs.github.io/nvdiffrast) &#x261C;&#x261C; for more information.
+
+## Licenses
+
+Copyright &copy; 2020, NVIDIA Corporation. All rights reserved.
+
+This work is made available under the [Nvidia Source Code License](https://github.com/NVlabs/nvdiffrast/blob/main/LICENSE.txt).
+
+For business inquiries, please contact [researchinquiries@nvidia.com](mailto:researchinquiries@nvidia.com)
+
+We do not currently accept outside code contributions in the form of pull requests.
+
+[GLEW](https://github.com/nigels-com/glew) library redistributed under the 
+[Modified BSD License](http://glew.sourceforge.net/glew.txt), the 
+[Mesa 3-D License](http://glew.sourceforge.net/mesa.txt) (MIT) and the 
+[Khronos License](http://glew.sourceforge.net/khronos.txt) (MIT).
+Environment map stored as part of `samples/data/envphong.npz` is derived from a Wave Engine
+[sample material](https://github.com/WaveEngine/Samples/tree/master/Materials/EnvironmentMap/Content/Assets/CubeMap.cubemap)
+originally shared under 
+[MIT License](https://github.com/WaveEngine/Samples/blob/master/LICENSE.md).
+Mesh and texture stored as part of `samples/data/earth.npz` are derived from
+[3D Earth Photorealistic 2K](https://www.turbosquid.com/3d-models/3d-realistic-earth-photorealistic-2k-1279125)
+model originally made available under
+[TurboSquid 3D Model License](https://blog.turbosquid.com/turbosquid-3d-model-license/#3d-model-license).
+
+## Citation
+
+```
+@article{Laine2020diffrast,
+  title   = {Modular Primitives for High-Performance Differentiable Rendering},
+  author  = {Samuli Laine and Janne Hellsten and Tero Karras and Yeongho Seol and Jaakko Lehtinen and Timo Aila},
+  journal = {ACM Transactions on Graphics},
+  year    = {2020},
+  volume  = {39},
+  number  = {6}
+}
+```

docker/10_nvidia.json

+{
+    "file_format_version" : "1.0.0",
+    "ICD" : {
+        "library_path" : "libEGL_nvidia.so.0"
+    }
+}

docker/Dockerfile

+# Copyright (c) 2020, NVIDIA CORPORATION.  All rights reserved.
+#
+# NVIDIA CORPORATION and its licensors retain all intellectual property
+# and proprietary rights in and to this software, related documentation
+# and any modifications thereto.  Any use, reproduction, disclosure or
+# distribution of this software and related documentation without an express
+# license agreement from NVIDIA CORPORATION is strictly prohibited.
+
+# Note: Should also work with NVIDIA's Docker image builds such as
+#
+# nvcr.io/nvidia/pytorch:20.09-py3
+#
+# This file defaults to pytorch/pytorch as it works on slightly older
+# driver versions.
+ARG BASE_IMAGE=pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
+FROM $BASE_IMAGE
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    pkg-config \
+    libglvnd0 \
+    libgl1 \
+    libglx0 \
+    libegl1 \
+    libgles2 \
+    libglvnd-dev \
+    libgl1-mesa-dev \
+    libegl1-mesa-dev \
+    libgles2-mesa-dev \
+    cmake \
+    curl
+
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# for GLEW
+ENV LD_LIBRARY_PATH /usr/lib64:$LD_LIBRARY_PATH
+
+# nvidia-container-runtime
+ENV NVIDIA_VISIBLE_DEVICES all
+ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,graphics
+
+# Default pyopengl to EGL for good headless rendering support
+ENV PYOPENGL_PLATFORM egl
+
+COPY docker/10_nvidia.json /usr/share/glvnd/egl_vendor.d/10_nvidia.json
+
+# glew installation from source
+RUN curl -L https://downloads.sourceforge.net/project/glew/glew/2.1.0/glew-2.1.0.tgz > /tmp/glew-2.1.0.tgz
+RUN mkdir -p /tmp && \
+    cd /tmp && tar zxf /tmp/glew-2.1.0.tgz && cd glew-2.1.0 && \
+    SYSTEM=linux-egl make && \
+    SYSTEM=linux-egl make install && \
+    rm -rf /tmp/glew-2.1.0.zip /tmp/glew-2.1.0
+
+RUN pip install imageio imageio-ffmpeg
+
+COPY nvdiffrast /tmp/pip/nvdiffrast/
+COPY README.md setup.py /tmp/pip/
+RUN cd /tmp/pip && pip install .