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tensorflow/c/eager/c_api_experimental.h
// ops return an error. This call clears the error state and re-enables // execution of newly issued ops. // // Note that outputs of discarded ops remain in a corrupt state and should not // be used for future calls. // TODO(agarwal): mark the affected handles and raise errors if they are used. TF_CAPI_EXPORT extern void TFE_ExecutorClearError(TFE_Executor*);
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/c_api.h
// message) to `output_graph_def` (allocated by TF_NewBuffer()). // `output_graph_def`'s underlying buffer will be freed when TF_DeleteBuffer() // is called. // // May fail on very large graphs in the future. TF_CAPI_EXPORT extern void TF_GraphToGraphDef(TF_Graph* graph, TF_Buffer* output_graph_def, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/tape.h
// // Unlike GradientTape::RecordOperation, Accumulate runs gradient computation // immediately. It stores the results, which feed into Accumulate for future // operations and may be fetched by calling FetchJVP. ForwardAccumulator // maintains a reference to these JVPs: if an `output_tensors` Tensor is // deleted, `DeleteGradient` should be called as soon as possible to free the
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