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Last modifications for v0.16.0 (#815)
* Finish everything for v0.16.0 Signed-off-by: Clement Fuji Tsang <cfujitsang@nvidia.com> * --amend Signed-off-by: Clement Fuji Tsang <cfujitsang@nvidia.com> * add support for cuda 12.4 Signed-off-by: Clement Fuji Tsang <cfujitsang@nvidia.com> --------- Signed-off-by: Clement Fuji Tsang <cfujitsang@nvidia.com>
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‎README.md‎

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@@ -14,33 +14,34 @@ Note that Kaolin library is part of the larger [NVIDIA Kaolin effort](https://de
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Starting with v0.12.0, Kaolin supports installation with wheels:
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```
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# Replace TORCH_VERSION and CUDA_VERSION with your torch / cuda versions
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pip install kaolin==0.15.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-{TORCH_VERSION}_cu{CUDA_VERSION}.html
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pip install kaolin==0.16.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-{TORCH_VERSION}_cu{CUDA_VERSION}.html
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```
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For example, to install kaolin 0.15.0 over torch 1.12.1 and cuda 11.3:
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For example, to install kaolin 0.16.0 over torch 2.0.0 and cuda 11.8:
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```
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pip install kaolin==0.15.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-1.12.1_cu113.html
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pip install kaolin==0.16.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.0.0_cu118.html
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```
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## About the Latest Release (0.15.0)
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## About the Latest Release (0.16.0)
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In this version we added a [non commercial section](https://kaolin.readthedocs.io/en/latest/modules/kaolin.non_commercial.html) under [NSCL license](LICENSE.NSCL). See [The license section for more info](#Licenses) for more details.
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In this version we added a [Physics section](https://kaolin.readthedocs.io/en/latest/modules/physics.html).
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In this new section we implemented [features for Flexicubes](https://kaolin.readthedocs.io/en/latest/modules/kaolin.non_commercial.html#kaolin.non_commercial.FlexiCubes) a method to extract meshes from scalar fields. See more information in [the official repository](https://github.com/nv-tlabs/FlexiCubes) which is now using Kaolin's implementation.
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In this new section we implemented [Simplicits](https://kaolin.readthedocs.io/en/latest/modules/kaolin.physics.html) a geometry-agnostic method for elastic simulation. See more information in [the project page](https://research.nvidia.com/labs/toronto-ai/simplicits/).
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<a href="https://kaolin.readthedocs.io/en/latest/modules/kaolin.non_commercial.html#kaolin.non_commercial.FlexiCubes"><img src="./assets/flexicubes.png" alt="flexicubes" height="250" /></a>
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We've also added a [math section](https://kaolin.readthedocs.io/en/latest/modules/kaolin.math.html) with quaternions math features.
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In addition we implemented a [GLTF mesh loader](https://kaolin.readthedocs.io/en/latest/modules/kaolin.io.gltf.html) that can be used to load models from [Objaverse](https://objaverse.allenai.org/objaverse-1.0) and [Objaverse-XL](https://objaverse.allenai.org/).
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Finally we've improved workflow, with an [easy rendering API](https://kaolin.readthedocs.io/en/latest/modules/kaolin.render.easy_render.html), for quickly visualizing a model.
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<a href="https://kaolin.readthedocs.io/en/latest/modules/kaolin.io.gltf.html"><img src="./assets/gltf.png" alt="gltf" height="250" /></a>
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Check our new tutorials:
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[Use Simplicit's Easy API to Simulate a Mesh](https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/physics/simplicits_easy_api.ipynb) In this notebook we show how to use the high-level Simplicit API to simulate an imported Mesh.
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[Interact with a Physics Simulation](https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/physics/simplicits_interactive.ipynb) In this notebook we show to interact with the simulation by moving objects.
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[Use Simplicit's Full-Feature API](https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/physics/simplicits_low_level_api.ipynb) In this notebook we show how to use the low-level API to simulate a pointcloud.
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Check our new tutorial:
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[**Load and render a GLTF file** interactively into a Jupyter notebook:](https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/gltf_viz.ipynb)
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In this file we show how to load a gltf file and fully differentiably render it with [nvdiffrast](https://nvlabs.github.io/nvdiffrast/) and [spherical gaussian for diffuse and specular lighting](https://kaolin.readthedocs.io/en/latest/modules/kaolin.render.lighting.html), using displacement mapping and other materials properties from the GLTF file.
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[Easy rendering of Meshes](https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/easy_mesh_render.ipynb) Use our new high-level API to load a mesh, create a camera and lighting parameters and render interactively.
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<a href="https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/gltf_viz.ipynb"><img src="./assets/avocado.png" alt="gltf notebook" height="250" /></a>
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<a href="https://github.com/NVIDIAGameWorks/kaolin/tree/master/examples/tutorial/physics"><img src="./assets/physics_bulldozer.gif" alt="physics documentation" height="250" /></a>
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See [change logs](https://github.com/NVIDIAGameWorks/kaolin/releases/tag/v0.15.0) for details.
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See [change logs](https://github.com/NVIDIAGameWorks/kaolin/releases/tag/v0.16.0) for details.
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## Contributing
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- Technical Lead: Clement Fuji Tsang
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- Manager: Maria (Masha) Shugrina
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- Charles Loop
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- Vismay Modi
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- Or Perel
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- Alexander Zook
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‎assets/physics_bulldozer.gif‎

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‎ci/gitlab_jenkins_templates/core_ci.jenkins‎

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// Configs for building python wheels
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def ubuntu_for_cuda_wheels_configs = [
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/*
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[
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'cudaVer': '11.7.1', 'cudnnVer': '8',
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'torchVer': '2.0.0', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.0.0', 'archsToTest': 'MULTI'
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],
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/*
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[
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'cudaVer': '11.7.1', 'cudnnVer': '8',
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'torchVer': '2.0.1', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.0.1', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.1.0', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '12.1.0', 'cudnnVer': '8',
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'torchVer': '2.1.0', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.1.1', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '12.1.0', 'cudnnVer': '8',
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'torchVer': '2.1.1', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.1.2', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '12.1.0', 'cudnnVer': '8',
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'torchVer': '2.1.2', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.2.0', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '12.1.0', 'cudnnVer': '8',
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'torchVer': '2.2.0', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.2.1', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '12.1.0', 'cudnnVer': '8',
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'torchVer': '2.2.1', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.3.0', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '12.1.0', 'cudnnVer': '8',
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'torchVer': '2.3.0', 'archsToTest': 'MULTI'
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],
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*/
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'torchVer': '2.3.1', 'archsToTest': 'MULTI'
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]
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[
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'cudaVer': '11.8.0', 'cudnnVer': '8',
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'torchVer': '2.4.0', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '12.1.0', 'cudnnVer': '8',
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'torchVer': '2.4.0', 'archsToTest': 'MULTI'
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],
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[
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'cudaVer': '12.4.1', 'cudnnVer': '',
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'torchVer': '2.4.0', 'archsToTest': 'MULTI'
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]
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*/
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]
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def ubuntu_for_cpu_wheels_configs = [
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/*
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[
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'torchVer': '2.0.0'
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'torchVer': '2.0.0'
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'torchVer': '2.0.1'
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],
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[
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'torchVer': '2.1.0'
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],
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[
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'torchVer': '2.1.1'
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],
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[
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'torchVer': '2.1.2'
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],
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[
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'torchVer': '2.2.0'
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],
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[
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'torchVer': '2.2.1'
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],
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[
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'torchVer': '2.3.0'
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],
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[
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'torchVer': '2.3.1'
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[
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'torchVer': '2.4.0'
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]
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*/
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def windows_for_cuda_wheels_configs = [
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/*
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'cudaVer': '11.7', 'cudnnVer': '8',
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'torchVer': '2.0.0', 'archsToTest': ''
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],
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[
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'cudaVer': '11.7', 'cudnnVer': '8',
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'torchVer': '2.0.1', 'archsToTest': ''
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],
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[
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.0.1', 'archsToTest': ''
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],
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.1.0', 'archsToTest': ''
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],
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'cudaVer': '12.1', 'cudnnVer': '8',
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'torchVer': '2.1.0', 'archsToTest': ''
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],
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.1.1', 'archsToTest': ''
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],
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[
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'cudaVer': '12.1', 'cudnnVer': '8',
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'torchVer': '2.1.1', 'archsToTest': ''
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],
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.1.2', 'archsToTest': ''
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],
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'cudaVer': '12.1', 'cudnnVer': '8',
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'torchVer': '2.1.2', 'archsToTest': ''
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],
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[
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.2.0', 'archsToTest': ''
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],
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'cudaVer': '12.1', 'cudnnVer': '8',
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'torchVer': '2.2.0', 'archsToTest': ''
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],
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[
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.2.1', 'archsToTest': ''
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],
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[
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'cudaVer': '12.1', 'cudnnVer': '8',
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'torchVer': '2.2.1', 'archsToTest': ''
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],
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[
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.3.0', 'archsToTest': ''
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],
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'cudaVer': '12.1', 'cudnnVer': '8',
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'torchVer': '2.3.0', 'archsToTest': ''
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],
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.3.1', 'archsToTest': ''
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],
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'torchVer': '2.3.1', 'archsToTest': ''
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'cudaVer': '11.8', 'cudnnVer': '8',
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'torchVer': '2.4.0', 'archsToTest': ''
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*/
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'cudaVer': '12.1', 'cudnnVer': '8',
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'torchVer': '2.4.0', 'archsToTest': ''
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],
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[
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'cudaVer': '12.4', 'cudnnVer': '',
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/*
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'torchVer': '2.0.1', 'archsToTest': ''
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],
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[
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'torchVer': '2.1.0', 'archsToTest': ''
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],
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[
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'torchVer': '2.1.1', 'archsToTest': ''
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],
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[
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'torchVer': '2.1.2', 'archsToTest': ''
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],
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[
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'torchVer': '2.2.0', 'archsToTest': ''
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],
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[
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'torchVer': '2.2.1', 'archsToTest': ''
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],
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[
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'torchVer': '2.3.0', 'archsToTest': ''
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],
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*/
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[
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]
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// Configs for build from Windows server docker images
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// (See: https://hub.docker.com/_/microsoft-dotnet-framework-sdk)

‎ci/gitlab_jenkins_templates/windows_wheels_CI.jenkins‎

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--log-disable=PIL.TiffImagePlugin \
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/kaolin/tests/python/kaolin/io/test_gltf.py \
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/kaolin/tests/python/kaolin/io/usd/ \
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/kaolin/tests/python/kaolin/io/test_obj.py
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'''
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}
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if (currentBuild.getCurrentResult() != "FAILURE") {

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