9372aa7ad3
1. Remove tf as its workspace deps. 2. All the python code will be retrieved via pip install, rather than pip rule. This is possible since we remove the tf from workspace, which has high priority than the PIP package from local venv. 3. Install all the required python deps via "pip install -r requirements.txt". This setting should enable us to have "pip uninstall keras-nightly" once we add it to tf-nightly as a deps. Since all the deps are controlled in local venv within the build script. PiperOrigin-RevId: 364604880
13 lines
435 B
Python
13 lines
435 B
Python
workspace(name = "org_keras")
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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 = "com_google_protobuf",
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sha256 = "b10bf4e2d1a7586f54e64a5d9e7837e5188fc75ae69e36f215eb01def4f9721b",
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strip_prefix = "protobuf-3.15.3",
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urls = ["https://github.com/protocolbuffers/protobuf/archive/v3.15.3.tar.gz"],
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)
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load("@com_google_protobuf//:protobuf_deps.bzl", "protobuf_deps")
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protobuf_deps()
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