mirror of https://github.com/tensorflow/tfjs.git
42 lines
1.8 KiB
Python
Executable File
42 lines
1.8 KiB
Python
Executable File
package(default_visibility = ["//visibility:public"])
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platform(
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name = "platform",
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constraint_values = [
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"@bazel_tools//platforms:linux",
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"@bazel_tools//platforms:x86_64",
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"@bazel_tools//tools/cpp:clang",
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],
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exec_properties = {
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# We use the same docker image for remote builds as we use for CI testing.
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"container-image": "docker://gcr.io/learnjs-174218/release:latest@sha256:f712eae902a364750727f1bc2e4bfc3f75be846e2277f4e8026f9c03752f00e4",
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# By default in Google Cloud Remote build execution, network access is disabled. We explicitly set the
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# property in the platform again in case the default ever changes. Network access is not desirable in
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# Bazel builds as it is potential source of flaky tests and therefore also breaks hermeticity.
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"dockerNetwork": "off",
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},
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)
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platform(
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name = "platform_with_network",
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exec_properties = {
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# By default we have network access disabled with the `:platform` target. This is an
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# additional platform that extends from the default one but enables network access.
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# Network is generally not recommended, but for some exceptions, like integration tests
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# running a Yarn install, network access is reasonable. In such special cases, Bazel can
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# be invoked to run with this platform. It is recommended that exec platforms with network
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# access are used in combination with `--sandbox_default_allow_network=false` as this allows
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# specific targets to be granted network access, while others will not have access.
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"dockerNetwork": "standard",
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},
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parents = [":platform"],
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)
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filegroup(
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name = "files",
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srcs = [
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"BUILD.bazel",
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"@npm//@angular/dev-infra-private/bazel/remote-execution/cpp:files",
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],
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)
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