tf.raw_ops.SparseAccumulatorApplyGradient
Applies a sparse gradient to a given accumulator.
tf.raw_ops.SparseAccumulatorApplyGradient(
handle, local_step, gradient_indices, gradient_values, gradient_shape,
has_known_shape, name=None
)
Does not add if local_step is smaller than the accumulator's global_step.
| Args | |
|---|---|
handle |
A Tensor of type mutable string. The handle to a accumulator. |
local_step |
A Tensor of type int64. The local_step value at which the sparse gradient was computed. |
gradient_indices |
A Tensor of type int64. Indices of the sparse gradient to be accumulated. Must be a vector. |
gradient_values |
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64. Values are the non-zero slices of the gradient, and must have the same first dimension as indices, i.e., the nnz represented by indices and values must be consistent. |
gradient_shape |
A Tensor of type int64. Shape of the sparse gradient to be accumulated. |
has_known_shape |
A bool. Boolean indicating whether gradient_shape is unknown, in which case the input is ignored during validation. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
| The created Operation. |
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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/r2.3/api_docs/python/tf/raw_ops/SparseAccumulatorApplyGradient