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tensorflow/c/experimental/grappler/grappler.h
// nodes. This may cause incorrectness in graph analyses, but is useful for // simulation or scheduling. // If aggressive_shape_inference is true, nodes are executed on the host to // identify output values when possible and does other aggressive strategies. // This may cause incorrectness in graph analyses, but is useful for simulation // or scheduling. // If include_input_tensor_values is true, the values of constant
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
TF_OutputList*, TF_Status*); void TF_DeleteAbstractFunction(TF_AbstractFunction*); // Register the function with the given context. This is particularly useful for // making a function available to an eager context. void TF_ExecutionContextRegisterFunction(TF_ExecutionContext*, TF_AbstractFunction*, TF_Status*);
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/eager/c_api_experimental.h
// // Does not include the shape and dtype of the tensor (which is generally // appended later), but should include any information specific to this custom // device which would be useful for debugging. // // Optional. If null, defaults to resolving the TFE_TensorHandle into a // TF_Tensor and summarizing that. TF_Buffer* (*summarize)(void* data, TF_Status* status) = nullptr;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
void AsyncWait(TFE_Context* context, TF_Status* status) const; // Device strings for component devices that only include a // worker/task/replica if any of those differ across components. Useful for // printing debug messages. std::vector<std::string> SummarizeDeviceNames() const; private: // A sequence of device names, indicating which devices replicated operations // are forwarded to.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
public: // If `persistent` is true, GradientTape will not eagerly delete backward // functions (and hence the tensors they keep alive). Instead, everything // is deleted in ~GradientTape. Persistent GradientTapes are useful when // users want to compute multiple gradients over the same tape. explicit GradientTape(bool persistent) : persistent_(persistent) {} ~GradientTape() { for (const auto& pair : op_tape_) {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/c_api.h
TF_CAPI_EXPORT extern TF_DeviceList* TFE_ContextListDevices(TFE_Context* ctx, TF_Status* status); // Clears the internal caches in the TFE context. Useful when reseeding random // ops. TF_CAPI_EXPORT extern void TFE_ContextClearCaches(TFE_Context* ctx); // Sets a thread-local device placement policy. After this call, other calls to
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/immediate_execution_context.h
// Following are helper functions to assist integrating TFRT with current // TF eager runtime. // TODO(b/172877902): These helper functions are currently used to support // PyFuncOp on TFRT, and might be useful for ops that directly use low // level TF APIs. Remove/replace the following functions when TFRT native // ops are implemented. //===--------------------------------------------------------------------===//
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0)