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MODULE.bazel file for NGC docker container (#3156)
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module( | ||
name = "torch_tensorrt", | ||
version = "2.5.0a0", | ||
repo_name = "org_pytorch_tensorrt", | ||
) | ||
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bazel_dep(name = "googletest", version = "1.14.0") | ||
bazel_dep(name = "platforms", version = "0.0.10") | ||
bazel_dep(name = "rules_cc", version = "0.0.9") | ||
bazel_dep(name = "rules_python", version = "0.34.0") | ||
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python = use_extension("@rules_python//python/extensions:python.bzl", "python") | ||
python.toolchain( | ||
ignore_root_user_error = True, | ||
python_version = "3.12", | ||
) | ||
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bazel_dep(name = "rules_pkg", version = "1.0.1") | ||
git_override( | ||
module_name = "rules_pkg", | ||
commit = "17c57f4", | ||
remote = "https://github.com/narendasan/rules_pkg", | ||
) | ||
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local_repository = use_repo_rule("@bazel_tools//tools/build_defs/repo:local.bzl", "local_repository") | ||
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# External dependency for torch_tensorrt if you already have precompiled binaries. | ||
local_repository( | ||
name = "torch_tensorrt", | ||
path = "/usr/local/lib/python3.12/dist-packages/torch_tensorrt/", | ||
) | ||
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new_local_repository = use_repo_rule("@bazel_tools//tools/build_defs/repo:local.bzl", "new_local_repository") | ||
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# CUDA should be installed on the system locally | ||
new_local_repository( | ||
name = "cuda", | ||
build_file = "@//third_party/cuda:BUILD", | ||
path = "/usr/local/cuda/", | ||
) | ||
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http_archive = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") | ||
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#################################################################################### | ||
# Locally installed dependencies (use in cases of custom dependencies or aarch64) | ||
#################################################################################### | ||
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# NOTE: In the case you are using just the pre-cxx11-abi path or just the cxx11 abi path | ||
# with your local libtorch, just point deps at the same path to satisfy bazel. | ||
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# NOTE: NVIDIA's aarch64 PyTorch (python) wheel file uses the CXX11 ABI unlike PyTorch's standard | ||
# x86_64 python distribution. If using NVIDIA's version just point to the root of the package | ||
# for both versions here and do not use --config=pre-cxx11-abi | ||
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new_local_repository( | ||
name = "libtorch", | ||
path = "/usr/local/lib/python3.12/dist-packages/torch/", | ||
build_file = "third_party/libtorch/BUILD" | ||
) | ||
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new_local_repository( | ||
name = "libtorch_pre_cxx11_abi", | ||
path = "/usr/local/lib/python3.12/dist-packages/torch/", | ||
build_file = "third_party/libtorch/BUILD" | ||
) | ||
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new_local_repository( | ||
name = "tensorrt", | ||
path = "/usr/", | ||
build_file = "@//third_party/tensorrt/local:BUILD" | ||
) |