@@ -41,7 +41,7 @@ local_repository(
4141new_local_repository (
4242 name = "cuda" ,
4343 build_file = "@//third_party/cuda:BUILD" ,
44- path = "/usr/local/cuda-11.3 /" ,
44+ path = "/usr/local/cuda/" ,
4545)
4646
4747new_local_repository (
@@ -53,45 +53,45 @@ new_local_repository(
5353# Tarballs and fetched dependencies (default - use in cases when building from precompiled bin and tarballs)
5454#############################################################################################################
5555
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- )
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+ # )
7171
7272# Download these tarballs manually from the NVIDIA website
7373# Either place them in the distdir directory in third_party and use the --distdir flag
7474# or modify the urls to "file:///<PATH TO TARBALL>/<TARBALL NAME>.tar.gz
7575
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- )
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+ # )
9595
9696####################################################################################
9797# Locally installed dependencies (use in cases of custom dependencies or aarch64)
@@ -104,29 +104,29 @@ http_archive(
104104# x86_64 python distribution. If using NVIDIA's version just point to the root of the package
105105# for both versions here and do not use --config=pre-cxx11-abi
106106
107- # new_local_repository(
108- # name = "libtorch",
109- # path = "/usr/local/ lib/python3.6/dist -packages/torch",
110- # build_file = "third_party/libtorch/BUILD"
111- # )
107+ new_local_repository (
108+ name = "libtorch" ,
109+ path = "/opt/circleci/.pyenv/versions/3.9.4/ lib/python3.9/site -packages/torch" ,
110+ build_file = "third_party/libtorch/BUILD"
111+ )
112112
113- # new_local_repository(
114- # name = "libtorch_pre_cxx11_abi",
115- # path = "/usr/local/ lib/python3.6/dist -packages/torch",
116- # build_file = "third_party/libtorch/BUILD"
117- # )
113+ new_local_repository (
114+ name = "libtorch_pre_cxx11_abi" ,
115+ path = "/opt/circleci/.pyenv/versions/3.9.4/ lib/python3.9/site -packages/torch" ,
116+ build_file = "third_party/libtorch/BUILD"
117+ )
118118
119- # new_local_repository(
120- # name = "cudnn",
121- # path = "/usr/",
122- # build_file = "@//third_party/cudnn/local:BUILD"
123- # )
119+ new_local_repository (
120+ name = "cudnn" ,
121+ path = "/usr/" ,
122+ build_file = "@//third_party/cudnn/local:BUILD"
123+ )
124124
125- # new_local_repository(
126- # name = "tensorrt",
127- # path = "/usr/",
128- # build_file = "@//third_party/tensorrt/local:BUILD"
129- # )
125+ new_local_repository (
126+ name = "tensorrt" ,
127+ path = "/usr/" ,
128+ build_file = "@//third_party/tensorrt/local:BUILD"
129+ )
130130
131131# #########################################################################
132132# # Testing Dependencies (optional - comment out on aarch64)
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