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tensorflow/c/c_api_internal.h
std::unordered_map<tensorflow::string, tensorflow::Node*> name_map TF_GUARDED_BY(mu); // The keys of this map are all the active sessions using this graph. Each // value records whether the graph has been mutated since the corresponding // session has been run (this is detected in RecordMutation function). If the // string is empty, no mutation has occurred. Otherwise the string is a
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tensorflow/c/eager/immediate_execution_tensor_handle.h
virtual AbstractTensorInterface* Resolve(Status* status) = 0; std::string DebugString() const override; // Returns a Boolean hint indicating whether callers should prefer // `SummarizeValue` to resolving this handle and formatting the tensor. // // For example some tensor handles may represent distributed values, in which
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ci/official/wheel_test/README.md
`_requirements_lock` files will be generated by the presubmit job. A detailed description will be provided once it's integrated into presubmit. ### test_import_api_packages This Python test verifies whether the API v2 packages can be imported from the current build. It utilizes the `_api/v2/api_packages.txt` list of packages from the local wheel file specified in the `requirements_lock_<python_version>.txt`.
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tensorflow/c/checkpoint_reader.cc
CheckpointReader::CheckpointReader(const string& filename, TF_Status* status) : reader_(nullptr), v2_reader_(nullptr), var_to_shape_map_(nullptr), var_to_data_type_map_(nullptr) { // Depending on whether this is a V2 ckpt, initializes "reader_" or // "v2_reader_". std::vector<string> v2_path; if (Env::Default()->GetMatchingPaths(MetaFilename(filename), &v2_path).ok() && !v2_path.empty()) { v2_reader_.reset(
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CODE_OF_CONDUCT.md
## Scope This Code of Conduct applies to all content on tensorflow.org, TensorFlow’s GitHub organization, or any other official TensorFlow web presence allowing for community interactions, as well as at all official TensorFlow events, whether offline or online.
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tensorflow/c/eager/gradient_checker.h
* parameter specified by `input_index`. * * I.e. if y = <output of the forward model> and w = inputs[input_index], * this will calculate dy/dw numerically. * * `use_function` indicates whether to use graph mode(true) or eager(false). * * `numerical_grad` is the pointer to the AbstractTensorHandle* which will * hold the numerical gradient data at the end of the function. */
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LICENSE
and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the
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tensorflow/c/eager/gradients.h
GradientFunction, TapeTensor> { public: using GradientTape<AbstractTensorHandle, GradientFunction, TapeTensor>::GradientTape; // Returns whether the tape is persistent, i.e., whether the tape will hold // onto its internal state after a call to `ComputeGradient`. using GradientTape<AbstractTensorHandle, GradientFunction, TapeTensor>::IsPersistent;
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tensorflow/c/eager/c_api_internal.h
TFE_ContextDevicePlacementPolicy device_placement_policy{ TFE_DEVICE_PLACEMENT_SILENT}; // If true, use TFRT backend bool use_tfrt = false; // Whether to run elementary eager ops wrapped in a call op. bool run_eager_op_as_function = false; // Whether to rewrite jit_compile functions. bool jit_compile_rewrite = false; };
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tensorflow/c/experimental/grappler/grappler.h
// C API for Graph. The API is under active development and eventually // should allow registering a plugin graph optimizer with TensorFlow. // // Conventions: // * Struct prefix indicates whether struct fields should be filled by the // plugin or core implementation: // * Struct that should be filled by the plugin: `TP_OptimizerConfigs`, // `TP_Optimizer`, `TP_OptimizerRegistrationParams`
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