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ci/official/envs/rbe
# Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since
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CONTRIBUTING.md
it may slow down the tests for not running in parallel and may cause the test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
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configure.py
ask_for_var=('Please specify an Android build tools version to use. ' '[Available versions: %s]') % versions, check_success=valid_build_tools, error_msg=('The selected SDK does not have build-tools version %s ' 'available.')) write_action_env_to_bazelrc('ANDROID_BUILD_TOOLS_VERSION', android_build_tools_version)
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
RELEASE.md
(`tf.float16`, `tf.float64`, `tf.complex64`, and `tf.complex128`) has been added for this op. If you were relying on the determinism of the `tf.float64` CPU implementation being automatically selected because of the absence of the `tf.float64` GPU implementation, you with either need to force the op to run on the CPU or use a different data type. * Security
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