tf.summary.record_if

Sets summary recording on or off per the provided boolean value.

@tf_contextlib.contextmanager
tf.summary.record_if(
    condition
)

The provided value can be a python boolean, a scalar boolean Tensor, or or a callable providing such a value; if a callable is passed it will be invoked on-demand to determine whether summary writing will occur. Note that when calling record_if() in an eager mode context, if you intend to provide a varying condition like step % 100 == 0, you must wrap this in a callable to avoid immediate eager evaluation of the condition. In particular, using a callable is the only way to have your condition evaluated as part of the traced body of an @tf.function that is invoked from within the record_if() context.

Args
condition	can be True, False, a bool Tensor, or a callable providing such.

Yields
Returns a context manager that sets this value on enter and restores the previous value on exit.