Extracts the average sparse gradient in a SparseConditionalAccumulator.
tf.raw_ops.SparseAccumulatorTakeGradient(
handle, num_required, dtype, name=None
)
The op will 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 will return its average of the accumulated gradients. Also automatically increments the recorded global_step in the accumulator by 1, and resets the aggregate to 0.
Args | |
|---|---|
handle
|
A Tensor of type mutable string.
The handle to a SparseConditionalAccumulator.
|
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 | |
|---|---|
A tuple of Tensor objects (indices, values, shape).
|
|
indices
|
A Tensor of type int64.
|
values
|
A Tensor of type dtype.
|
shape
|
A Tensor of type int64.
|