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tensorflow/c/eager/c_api_experimental.h
// policy is applied to any subsequent op executions. TF_CAPI_EXPORT void TFE_ContextSetSoftDevicePlacement(TFE_Context* ctx, unsigned char enable, TF_Status* status); // Configure device placement policy logging for the eager executor. Note this
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/experimental/grappler/grappler.h
// Get the size of input OpInfo::TensorProperties given node name. TF_CAPI_EXPORT extern void TF_GetInputPropertiesListSize( TF_GraphProperties* graph_properties, const char* name, int* num_values, TF_Status* status); // Get the size of output OpInfo::TensorProperties given node name. TF_CAPI_EXPORT extern void TF_GetOutputPropertiesListSize(
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/c_api_experimental.h
// `shape_inference::InferenceContext` constructor. Note the following: // - The inputs of the `op` are not used for shape inference. So, it is // OK to not have the inputs properly set in `op`. See `input_tensors` // if you want shape inference to consider the input tensors of the // op for shape inference. // - The types need not be set in `input_shapes` as it is not used.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// // If async execution is enabled, the call may simply enqueue the execution // and return "non-ready" handles in `retvals`. Note that any handles contained // in 'op' should not be mutated till the kernel execution actually finishes. // // For sync execution, if any of the inputs to `op` are not ready, this call // will block till they become ready and then return when the kernel execution // is done.
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/tape.h
// Tensors need gradients to be computed (Tensors which are not used do not need // any gradients to be computed). // // Finally, we start a backprop stack with a set of tape entries for which we // have all gradients available. This set usually is a subset of the set of // targets (not all since targets which have outputs in the tape will not have // gradients available initially). //
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/immediate_execution_context.h
virtual void StartStep() = 0; // Destroy the step resource container for a training step. virtual void EndStep() = 0; // Return the Eager Executor for current thread. Please note that Eager // Executor is only used in current TF but not in TFRT. virtual EagerExecutor& Executor() = 0; // Update the Eager Executor for current thread. virtual void SetExecutorForThread(EagerExecutor* executor) = 0;
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) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
std::list<Key> lru_list_ ABSL_GUARDED_BY(mu_); /// The LRA (least recently added) list of block keys. The front of the list /// identifies the most recently added block. /// /// Note: blocks are added to lra_list_ only after they have successfully been /// fetched from the underlying block store. std::list<Key> lra_list_ ABSL_GUARDED_BY(mu_);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0)