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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/experimental/filesystem/modular_filesystem_test.cc
status = env_->GetChildren(dirpath, &children); EXPECT_PRED2(UnimplementedOrReturnsCode, status, Code::OK); if (!status.ok()) GTEST_SKIP() << "GetChildren() not supported: " << status; // All entries must show up in the vector. // Must contain only the last name in filenames and dirnames. const std::vector<std::string> expected_children = {"a_file", "another_file",
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:25:58 GMT 2022 - 71K bytes - Viewed (0) -
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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tensorflow/c/eager/c_api.h
// error information in *status. TF_CAPI_EXPORT extern void TFE_ContextOptionsSetConfig( TFE_ContextOptions* options, const void* proto, size_t proto_len, TF_Status* status); // Controls how to act when we try to run an operation on a given device but // some input tensors are not on that device. // LINT.IfChange // Note: Keep in sync with internal copy of enum in eager/context.h.
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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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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
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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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