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ci/official/wheel_test/README.md
## Wheel Test This directory is dedicated to tests that require a built TensorFlow wheel file for testing, such as: * Ensuring the entire API is importable * Testing downstream projects against the wheel Ensure you have Bazel installed and accessible from your command line. These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the
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ci/official/envs/rbe
# it enables a derived --config setting. If RBE is not available (i.e. there # is no --config setting), bazel would fail and quit. This script does a quick # check This script checks for such errors early if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then cat <<EOF ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable. TFCI: $TFCI
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ci/official/utilities/get_versions.sh
export TF_VER_PATCH=$(awk '/#define TF_PATCH_VERSION/ {print $3}' tensorflow/core/public/version.h) # Note: in awk, "print $N" prints the Nth "field", where fields are strings separated # by whitespace. The flag "-F<x>" changes the behavior such that fields are now strings # separated by the character <x>. Therefore, -F\' (escaped single quote) means that field # $2 in <Tensor'flow'> is <flow>. This is useful for reading string literals like below.
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// parsed. // // Furthermore, as `INSTANTIATE_TEST_SUITE_P` needs to be at global level and we // don't want to have a `std::vector<std::string>` at global level, we use a // static pointer to such a vector: we construct it via `SchemeVector()` below // and when tests are instantiated we process it using `GetSchemes()`. static std::vector<std::string>* SchemeVector() {
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CODE_OF_CONDUCT.md
advances. * Trolling, insulting/derogatory comments, and personal or political attacks. * Public or private harassment. * Publishing others' private information, such as a physical or electronic address, without explicit permission. * Conduct which could reasonably be considered inappropriate for the forum in which it occurs.
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tensorflow/c/eager/abstract_operation.h
// chosen for the operation by the device placement logic in the // executor. After that, the value returned by DeviceName will be a full // device name such as "/job:localhost/replica:0/task:0/device:GPU:1". virtual const string& DeviceName() const = 0; // Sets the operation device name. // // The given `name` must be parseable by DeviceNameUtils::ParseFullName, and
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tensorflow/c/eager/c_api.h
// A handle to a tensor on a device. // // Like a TF_Tensor, a TFE_TensorHandle refers to a tensor with a value, shape, // type etc. Unlike a TF_Tensor, a TFE_TensorHandle may refer to such tensors // placed in the memory of different devices or remote address spaces. typedef struct TFE_TensorHandle TFE_TensorHandle; TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandle(const TF_Tensor* t,
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tensorflow/c/eager/c_api_unified_experimental.h
// here. void TF_SetTracingImplementation(const char* name, TF_Status*); // Creates a new TensorFlow function. A Function is an execution context, and as // such it can trace operations through TF_ExecuteOperation. After completing // tracing, a function can be obtained by TF_FinalizeFunction. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* status);
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CONTRIBUTING.md
### Typical Pull Request Workflow - **1. New PR** - As a contributor, you submit a New PR on GitHub. - We inspect every incoming PR and add certain labels to the PR such as `size:`, `comp:` etc. At this stage we check if the PR is valid and meets certain quality requirements. For example, we check if the CLA is signed, PR has
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tensorflow/c/c_api.cc
return; } // We have a convoluted scheme here: Using the C++ graph construction API // to add potentially many nodes to the graph without running the checks // (such as uniqueness of the names of nodes) we run with other functions // that add a node to the graph (like TF_FinishOperation). if (!g->name_map.insert(std::make_pair(n->name(), n)).second) {
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