tf.types.experimental.ConcreteFunction

Base class for differentiable graph functions.

Inherits From: Callable

A ConcreteFunction encapsulates the original graph function definition with support for differentiability under tf.GradientTape contexts. In the process, it may generate new graph functions (using the original) to efficiently perform forwards and backwards passes.

Methods

__call__

View source

__call__(
    *args, **kwargs
)

Executes this callable.

This behaves like a regular op - in eager mode, it immediately starts execution, returning results. In graph mode, it creates ops which return symbolic TensorFlow values (like tf.Tensor, tf.data.Dataset, etc.). For example, tf.function callables typically generate a tf.raw_ops.PartitionedCall op, but not always - the exact operations being generated are an internal implementation detail.