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tensorflow/c/eager/abstract_context.h
#include <memory> #include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/c/eager/abstract_operation.h" namespace tensorflow { // Abstract interface to a context. // // This serves as a factory for creating `AbstractOperation`s and for // registering traced functions. // Operations creation within a context can only be executed in that context // (for now at least).
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:16:58 GMT 2021 - 3K bytes - Viewed (0) -
tensorflow/c/c_api.h
// -1 and `dims` can be null. If a dimension is unknown, the // corresponding entry in the `dims` array must be -1. // // This does not overwrite the existing shape associated with `output`, // but merges the input shape with the existing shape. For example, // setting a shape of [-1, 2] with an existing shape [2, -1] would set // a final shape of [2, 2] based on shape merging semantics. //
C - Registered: Tue Apr 23 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
// Operations the tape needs to perform on tensors to do backpropagation. Named // "vspace" because a subset of these are related to a vector space, such as // adding gradients, getting zeroes, etc. Currently cannot be implemented // without using tensorflow python code, hence left unspecified here. // // Gradient is the type returned by gradient functions. In Python TF it's either
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1)