|
| 1 | +workspace(name = "Torch-TensorRT") |
| 2 | + |
| 3 | +load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") |
| 4 | +load("@bazel_tools//tools/build_defs/repo:git.bzl", "git_repository") |
| 5 | + |
| 6 | +http_archive( |
| 7 | + name = "rules_python", |
| 8 | + sha256 = "778197e26c5fbeb07ac2a2c5ae405b30f6cb7ad1f5510ea6fdac03bded96cc6f", |
| 9 | + url = "https://github.com/bazelbuild/rules_python/releases/download/0.2.0/rules_python-0.2.0.tar.gz", |
| 10 | +) |
| 11 | + |
| 12 | +load("@rules_python//python:pip.bzl", "pip_install") |
| 13 | + |
| 14 | +http_archive( |
| 15 | + name = "rules_pkg", |
| 16 | + sha256 = "038f1caa773a7e35b3663865ffb003169c6a71dc995e39bf4815792f385d837d", |
| 17 | + urls = [ |
| 18 | + "https://mirror.bazel.build/github.com/bazelbuild/rules_pkg/releases/download/0.4.0/rules_pkg-0.4.0.tar.gz", |
| 19 | + "https://github.com/bazelbuild/rules_pkg/releases/download/0.4.0/rules_pkg-0.4.0.tar.gz", |
| 20 | + ], |
| 21 | +) |
| 22 | + |
| 23 | +load("@rules_pkg//:deps.bzl", "rules_pkg_dependencies") |
| 24 | + |
| 25 | +rules_pkg_dependencies() |
| 26 | + |
| 27 | +git_repository( |
| 28 | + name = "googletest", |
| 29 | + commit = "703bd9caab50b139428cea1aaff9974ebee5742e", |
| 30 | + remote = "https://github.com/google/googletest", |
| 31 | + shallow_since = "1570114335 -0400", |
| 32 | +) |
| 33 | + |
| 34 | +# External dependency for torch_tensorrt if you already have precompiled binaries. |
| 35 | +local_repository( |
| 36 | + name = "torch_tensorrt", |
| 37 | + path = "/opt/circleci/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torch_tensorrt" |
| 38 | +) |
| 39 | + |
| 40 | +# CUDA should be installed on the system locally |
| 41 | +new_local_repository( |
| 42 | + name = "cuda", |
| 43 | + build_file = "@//third_party/cuda:BUILD", |
| 44 | + path = "/usr/local/cuda/", |
| 45 | +) |
| 46 | + |
| 47 | +new_local_repository( |
| 48 | + name = "cublas", |
| 49 | + build_file = "@//third_party/cublas:BUILD", |
| 50 | + path = "/usr", |
| 51 | +) |
| 52 | +############################################################################################################# |
| 53 | +# Tarballs and fetched dependencies (default - use in cases when building from precompiled bin and tarballs) |
| 54 | +############################################################################################################# |
| 55 | + |
| 56 | +#http_archive( |
| 57 | +# name = "libtorch", |
| 58 | +# build_file = "@//third_party/libtorch:BUILD", |
| 59 | +# sha256 = "8d9e829ce9478db4f35bdb7943308cf02e8a2f58cf9bb10f742462c1d57bf287", |
| 60 | +# strip_prefix = "libtorch", |
| 61 | +# urls = ["https://download.pytorch.org/libtorch/cu113/libtorch-cxx11-abi-shared-with-deps-1.11.0%2Bcu113.zip"], |
| 62 | +#) |
| 63 | +# |
| 64 | +#http_archive( |
| 65 | +# name = "libtorch_pre_cxx11_abi", |
| 66 | +# build_file = "@//third_party/libtorch:BUILD", |
| 67 | +# sha256 = "90159ecce3ff451f3ef3f657493b6c7c96759c3b74bbd70c1695f2ea2f81e1ad", |
| 68 | +# strip_prefix = "libtorch", |
| 69 | +# urls = ["https://download.pytorch.org/libtorch/cu113/libtorch-shared-with-deps-1.11.0%2Bcu113.zip"], |
| 70 | +#) |
| 71 | + |
| 72 | +# Download these tarballs manually from the NVIDIA website |
| 73 | +# Either place them in the distdir directory in third_party and use the --distdir flag |
| 74 | +# or modify the urls to "file:///<PATH TO TARBALL>/<TARBALL NAME>.tar.gz |
| 75 | + |
| 76 | +#http_archive( |
| 77 | +# name = "cudnn", |
| 78 | +# build_file = "@//third_party/cudnn/archive:BUILD", |
| 79 | +# sha256 = "0e5d2df890b9967efa6619da421310d97323565a79f05a1a8cb9b7165baad0d7", |
| 80 | +# strip_prefix = "cuda", |
| 81 | +# urls = [ |
| 82 | +# "https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.2.4/11.4_20210831/cudnn-11.4-linux-x64-v8.2.4.15.tgz", |
| 83 | +# ], |
| 84 | +#) |
| 85 | +# |
| 86 | +#http_archive( |
| 87 | +# name = "tensorrt", |
| 88 | +# build_file = "@//third_party/tensorrt/archive:BUILD", |
| 89 | +# sha256 = "826180eaaecdf9a7e76116855b9f1f3400ea9b06e66b06a3f6a0747ba6f863ad", |
| 90 | +# strip_prefix = "TensorRT-8.2.4.2", |
| 91 | +# urls = [ |
| 92 | +# "https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.2.4/tars/tensorrt-8.2.4.2.linux.x86_64-gnu.cuda-11.4.cudnn8.2.tar.gz", |
| 93 | +# ], |
| 94 | +#) |
| 95 | + |
| 96 | +#################################################################################### |
| 97 | +# Locally installed dependencies (use in cases of custom dependencies or aarch64) |
| 98 | +#################################################################################### |
| 99 | + |
| 100 | +# NOTE: In the case you are using just the pre-cxx11-abi path or just the cxx11 abi path |
| 101 | +# with your local libtorch, just point deps at the same path to satisfy bazel. |
| 102 | + |
| 103 | +# NOTE: NVIDIA's aarch64 PyTorch (python) wheel file uses the CXX11 ABI unlike PyTorch's standard |
| 104 | +# x86_64 python distribution. If using NVIDIA's version just point to the root of the package |
| 105 | +# for both versions here and do not use --config=pre-cxx11-abi |
| 106 | + |
| 107 | +new_local_repository( |
| 108 | + name = "libtorch", |
| 109 | + path = "/opt/circleci/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torch", |
| 110 | + build_file = "third_party/libtorch/BUILD" |
| 111 | +) |
| 112 | + |
| 113 | +new_local_repository( |
| 114 | + name = "libtorch_pre_cxx11_abi", |
| 115 | + path = "/opt/circleci/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torch", |
| 116 | + build_file = "third_party/libtorch/BUILD" |
| 117 | +) |
| 118 | + |
| 119 | +new_local_repository( |
| 120 | + name = "cudnn", |
| 121 | + path = "/usr/", |
| 122 | + build_file = "@//third_party/cudnn/local:BUILD" |
| 123 | +) |
| 124 | + |
| 125 | +new_local_repository( |
| 126 | + name = "tensorrt", |
| 127 | + path = "/usr/", |
| 128 | + build_file = "@//third_party/tensorrt/local:BUILD" |
| 129 | +) |
| 130 | + |
| 131 | +# ######################################################################### |
| 132 | +# # Testing Dependencies (optional - comment out on aarch64) |
| 133 | +# ######################################################################### |
| 134 | +# pip_install( |
| 135 | +# name = "torch_tensorrt_py_deps", |
| 136 | +# requirements = "//py:requirements.txt", |
| 137 | +# ) |
| 138 | + |
| 139 | +# pip_install( |
| 140 | +# name = "py_test_deps", |
| 141 | +# requirements = "//tests/py:requirements.txt", |
| 142 | +# ) |
| 143 | + |
| 144 | +pip_install( |
| 145 | + name = "pylinter_deps", |
| 146 | + requirements = "//tools/linter:requirements.txt", |
| 147 | +) |
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