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WORKSPACE
) load("@pypi//:requirements.bzl", "install_deps") install_deps() # Initialize the TensorFlow repository and all dependencies. # # The cascade of load() statements and tf_workspace?() calls works around the # restriction that load() statements need to be at the top of .bzl files. # E.g. we can not retrieve a new repository with http_archive and then load() # a macro from that repository in the same file.
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ci/devinfra/README.md
> effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra)
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ci/README.md
> effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra ******************************************************************************** The CI folder contains the configuration files and scripts used to build, test,
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
labels: 'comp:lite-in-play-services' --- **System information** - Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`): **Standalone code to reproduce the issue**
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RELEASE.md
## Major Features and Improvements * Support for Python3.9 has been added. * `tf.data`: * `tf.data` service now supports strict round-robin reads, which is useful for synchronous training workloads where example sizes vary. With strict round robin reads, users can guarantee that consumers get similar-sized examples in the same step.
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.bazelrc
build:windows --host_linkopt=/OPT:REF build:windows --linkopt=/OPT:ICF build:windows --host_linkopt=/OPT:ICF # Verbose failure logs when something goes wrong build:windows --verbose_failures # Work around potential issues with large command lines on windows. # See: https://github.com/bazelbuild/bazel/issues/5163 build:windows --features=compiler_param_file # Do not risk cache corruption. See:
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ci/official/utilities/code_check_full.bats
"@local_config_cuda//cuda:curand + "\ "@local_config_cuda//cuda:cusolver + "\ "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out cat <<EOF There was a path found connecting //tensorflow/tools/pip_package:wheel to a banned CUDA dependency. Here's the output from bazel query: EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] }
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