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ci/official/envs/disk_cache
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just
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tensorflow/BUILD
# load("//devtools/copybara/rules:copybara.bzl", "copybara_config_test") # load("@rules_license//rules:license.bzl", "license") # # buildifier: enable=out-of-order-load # copybara:uncomment_end # copybara:comment_begin(oss-only) load("@bazel_skylib//rules:copy_file.bzl", "copy_file") load( "//tensorflow/python/tools/api/generator:api_gen.bzl", "get_compat_files", "get_nested_compat_files", )
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just
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tensorflow/c/BUILD
# copybara:uncomment_begin(google-only) # "//tensorflow/cc/experimental/tf2:__pkg__", # "//tensorflow/cc/experimental/tf2:__subpackages__", # copybara:uncomment_end "//tensorflow/compiler/mlir/tensorflow/c:__subpackages__", "//tensorflow/core/transforms:__subpackages__", ], deps = [ ":c_api_macros_hdrs", "@local_tsl//tsl/platform:status",
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.bazelrc
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README.md
**`Documentation`** | ------------------- | [![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/api_docs/) | [TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of [tools](https://www.tensorflow.org/resources/tools), [libraries](https://www.tensorflow.org/resources/libraries-extensions), and
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RELEASE.md
which could be challenging to read through, while not being actionable for end users. As of TF 2.7, TensorFlow filters internal frames in most errors that it raises, to keep stack traces short, readable, and focused on what's actionable for end users (their own code). This behavior can be disabled by calling
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