mirror of
https://github.com/google-deepmind/deepmind-research.git
synced 2026-05-12 06:37:14 +08:00
James Spencer
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
workspace(name = "org_density_functional_approximation_dm21")
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load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
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http_archive(
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name = "rules_python",
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sha256 = "934c9ceb552e84577b0faf1e5a2f0450314985b4d8712b2b70717dc679fdc01b",
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url = "https://github.com/bazelbuild/rules_python/releases/download/0.3.0/rules_python-0.3.0.tar.gz",
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)
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load("@rules_python//python:pip.bzl", "pip_install")
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# Create a central external repo, @external_py_deps, that contains Bazel
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# targets for all the third-party packages specified in the requirements.txt
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# file.
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pip_install(
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name = "external_py_deps",
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requirements = "//:requirements.txt",
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)
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http_archive(
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name = "io_abseil_py",
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strip_prefix = "abseil-py-pypi-v0.15.0",
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urls = ["https://github.com/abseil/abseil-py/archive/pypi-v0.15.0.tar.gz"],
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)
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http_archive(
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name = "six_archive",
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build_file = "@io_abseil_py//third_party:six.BUILD",
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strip_prefix = "six-1.12.0",
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urls = [
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"https://pypi.python.org/packages/source/s/six/six-1.12.0.tar.gz",
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],
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)
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http_archive(
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name = "org_tensorflow",
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patch_args = ["-p1"],
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patches = ["tf_bazel.patch"],
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strip_prefix = "tensorflow-2.7.0",
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urls = ["https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.7.0.tar.gz"],
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)
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# The cascade of load() statements and tf_workspace?() calls works around the
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# restriction that load() statements need to be at the top of .bzl files.
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# E.g. we can not retrieve a new repository with http_archive and then load()
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# a macro from that repository in the same file.
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load("@org_tensorflow//tensorflow:workspace3.bzl", "tf_workspace3")
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tf_workspace3()
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load("@org_tensorflow//tensorflow:workspace2.bzl", "tf_workspace2")
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tf_workspace2()
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load("@org_tensorflow//tensorflow:workspace1.bzl", "tf_workspace1")
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tf_workspace1()
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load("@org_tensorflow//tensorflow:workspace0.bzl", "tf_workspace0")
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tf_workspace0()
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