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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. */
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 02:34:32 GMT 2020 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
// Core APIs // ----------------------------------------------------------------------------- // A TF_ExecutionContext stores knowledge about how to execute an operation. // E.g. it could know whether we're in eager mode or graph mode, keeps track // of gradient tapes, etc. typedef struct TF_ExecutionContext TF_ExecutionContext; // A TF_AbstractTensor is an input to an operation. E.g. it could be a union
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/env.h
size_t length, TF_Status* status); // Deletes the named file and indicates whether successful in *status. TF_CAPI_EXPORT extern void TF_DeleteFile(const char* filename, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat Jan 09 02:53:27 GMT 2021 - 9.6K bytes - Viewed (0) -
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; };
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 18 19:26:34 GMT 2023 - 1.9K bytes - Viewed (0) -
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;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0) -
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
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
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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