Extracts the average gradient in the given ConditionalAccumulator.
tf.raw_ops.ResourceAccumulatorTakeGradient( handle, num_required, dtype, name=None )
The op blocks until sufficient (i.e., more than num_required) gradients have been accumulated. If the accumulator has already aggregated more than num_required gradients, it returns the average of the accumulated gradients. Also automatically increments the recorded global_step in the accumulator by 1, and resets the aggregate to 0.
Args | |
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handle | A Tensor of type resource . The handle to an accumulator. |
num_required | A Tensor of type int32 . Number of gradients required before we return an aggregate. |
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 data type of accumulated gradients. Needs to correspond to the type of the accumulator. |
name | A name for the operation (optional). |
Returns | |
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A Tensor of type dtype . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/ResourceAccumulatorTakeGradient