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ci/official/wheel_test/README.md
don't correspond to an actual file or directory on the filesystem. The list of such paths is stored in the packages_for_skip variable and will be skipped during the test. ##### How to Build ``` bazel build //:test_import_api_packages ``` ##### How to Run ``` bazel test //:test_import_api_packages --test_output=all
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tensorflow/c/c_api_test.cc
string expected_msg = "No gradient defined for op: TestOpWithNoGradient. Please see " "https://www.tensorflow.org/code/" "tensorflow/cc/gradients/README.md" " for instructions on how to add C++ gradients."; EXPECT_EQ(expected_msg, TF_Message(s_)); } // Run the graph and ensure that the gradient values are as expected. void RunGraphsAndCompareOutputs(TF_Output* grad_outputs,
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ci/official/requirements_updater/README.md
``` To specify the file via a Bazel command argument, use the following: ``` --repo_env=REQUIREMENTS_FILE_NAME=my_requirements.in ``` ### How to run the updater ``` bash updater.sh ``` ## How to add a new Python version Note: Updating the [rules-python](https://github.com/bazelbuild/rules_python/releases) version may be required before going through the steps below. This is due to the new Python
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ci/official/README.md
- Different Python versions - Linux, MacOS, and Windows machines (these pool definitions are internal) - x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs ## How to Test Your Changes to TensorFlow You may check how your changes will affect TensorFlow by: 1. Creating a PR and observing the presubmit test results 2. Running the CI scripts locally, as explained below
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CONTRIBUTING.md
***NOTE***: Only original source code from you and other people that have signed the CLA can be accepted into the main repository. ### Contributing code If you have improvements to TensorFlow, send us your pull requests! For those just getting started, GitHub has a
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SECURITY.md
how we can reproduce your findings. For memory corruption triggerable in TensorFlow models, please demonstrate an exploit against one of Alphabet's models in <https://tfhub.dev/> - An explanation of who can exploit this vulnerability, and what they gain when doing so. Write an attack scenario that demonstrates how your issue
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ci/official/utilities/rename_and_verify_wheels.sh
# Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is # relevant. All of the GPU test machines have CUDA installed via other means, # so I am not sure how to verify that the dependencies themselves are valid for # the moment. if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then echo "Checking to make sure tensorflow[and-cuda] is installable..."
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tensorflow/c/eager/BUILD
], ) tf_cuda_cc_test( name = "c_api_remote_test", size = "medium", srcs = [ "c_api_remote_test.cc", ], # TODO(b/136478427): Figure out how to correctly shut the server down args = ["--heap_check="], tags = [ "no_windows", ], deps = [ ":c_api", ":c_api_experimental", ":c_api_internal",
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
// The environment variable that overrides the maximum number of entries in the // Stat cache. constexpr char kStatCacheMaxEntries[] = "GCS_STAT_CACHE_MAX_ENTRIES"; constexpr size_t kStatCacheDefaultMaxEntries = 1024; // How to upload new data when Flush() is called multiple times. // By default the entire file is reuploaded. constexpr char kAppendMode[] = "GCS_APPEND_MODE"; // If GCS_APPEND_MODE=compose then instead the new data is uploaded to a
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RELEASE.md
* Updated `tf.keras.layers.BatchNormalization` to support masking of the inputs (`mask` argument) when computing the mean and variance. * Add `tf.keras.layers.Identity`, a placeholder pass-through layer. * Add `show_trainable` option to `tf.keras.utils.model_to_dot` to display layer trainable status in model plots.
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