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WIP: cuda128
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.github/workflows/docgen.yml

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@@ -18,8 +18,8 @@ jobs:
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options: --gpus all
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env:
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CUDA_HOME: /usr/local/cuda-12.8
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VERSION_SUFFIX: cu126
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CU_VERSION: cu126
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VERSION_SUFFIX: cu128
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CU_VERSION: cu128
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CHANNEL: nightly
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CI_BUILD: 1
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steps:

MODULE.bazel

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@@ -55,21 +55,21 @@ http_archive(
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name = "libtorch",
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build_file = "@//third_party/libtorch:BUILD",
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strip_prefix = "libtorch",
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urls = ["https://download.pytorch.org/libtorch/nightly/cu126/libtorch-cxx11-abi-shared-with-deps-latest.zip"],
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urls = ["https://download.pytorch.org/libtorch/nightly/cu128/libtorch-cxx11-abi-shared-with-deps-latest.zip"],
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)
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http_archive(
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name = "libtorch_pre_cxx11_abi",
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build_file = "@//third_party/libtorch:BUILD",
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strip_prefix = "libtorch",
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urls = ["https://download.pytorch.org/libtorch/nightly/cu126/libtorch-shared-with-deps-latest.zip"],
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urls = ["https://download.pytorch.org/libtorch/nightly/cu128/libtorch-shared-with-deps-latest.zip"],
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)
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http_archive(
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name = "libtorch_win",
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build_file = "@//third_party/libtorch:BUILD",
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strip_prefix = "libtorch",
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urls = ["https://download.pytorch.org/libtorch/nightly/cu126/libtorch-win-shared-with-deps-latest.zip"],
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urls = ["https://download.pytorch.org/libtorch/nightly/cu128/libtorch-win-shared-with-deps-latest.zip"],
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)
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# Download these tarballs manually from the NVIDIA website

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