tf.raw_ops.SparseConditionalAccumulator
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A conditional accumulator for aggregating sparse gradients.
tf.raw_ops.SparseConditionalAccumulator(
dtype, shape, container='', shared_name='',
reduction_type='MEAN', name=None
)
The accumulator accepts gradients marked with local_step greater or
equal to the most recent global_step known to the accumulator. The
average can be extracted from the accumulator, provided sufficient
gradients have been accumulated. Extracting the average automatically
resets the aggregate to 0, and increments the global_step recorded by
the accumulator.
Args |
dtype
|
A tf.DType from: tf.float32, tf.float64, tf.int32, tf.uint8, tf.int16, tf.int8, tf.complex64, tf.int64, tf.qint8, tf.quint8, tf.qint32, tf.bfloat16, tf.uint16, tf.complex128, tf.half, tf.uint32, tf.uint64 .
The type of the value being accumulated.
|
shape
|
A tf.TensorShape or list of ints . The shape of the values.
|
container
|
An optional string . Defaults to "" .
If non-empty, this accumulator is placed in the given container.
Otherwise, a default container is used.
|
shared_name
|
An optional string . Defaults to "" .
If non-empty, this accumulator will be shared under the given name
across multiple sessions.
|
reduction_type
|
An optional string from: "MEAN", "SUM" . Defaults to "MEAN" .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of type mutable string .
|
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Last updated 2021-05-14 UTC.
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