tf.ConditionalAccumulatorBase

A conditional accumulator for aggregating gradients.

Compat aliases for migration

tf.compat.v1.ConditionalAccumulatorBase

tf.ConditionalAccumulatorBase(
    dtype, shape, accumulator_ref
)

Up-to-date gradients (i.e., time step at which gradient was computed is equal to the accumulator's time step) are added to the accumulator.

Extraction of the average gradient is blocked until the required number of gradients has been accumulated.

Args
`dtype`	Datatype of the accumulated gradients.
`shape`	Shape of the accumulated gradients.
`accumulator_ref`	A handle to the conditional accumulator, created by sub- classes

Attributes
`accumulator_ref`	The underlying accumulator reference.
`dtype`	The datatype of the gradients accumulated by this accumulator.
`name`	The name of the underlying accumulator.

Methods

num_accumulated(
    name=None
)

Number of gradients that have currently been aggregated in accumulator.

Args
`name`	Optional name for the operation.

Returns
Number of accumulated gradients currently in accumulator.

set_global_step(
    new_global_step, name=None
)

Sets the global time step of the accumulator.

The operation logs a warning if we attempt to set to a time step that is lower than the accumulator's own time step.

Args
`new_global_step`	Value of new time step. Can be a variable or a constant
`name`	Optional name for the operation.

Returns
Operation that sets the accumulator's time step.