`#include <data_flow_ops.h>`

Applies a sparse gradient to a given accumulator.

Does not add if local_step is smaller than the accumulator's global_step.

Arguments:

- scope: A Scope object
- handle: The handle to a accumulator.
- local_step: The local_step value at which the sparse gradient was computed.
- gradient_indices: Indices of the sparse gradient to be accumulated. Must be a vector.
- gradient_values: 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: Shape of the sparse gradient to be accumulated.
- has_known_shape: Boolean indicating whether gradient_shape is unknown, in which case the input is ignored during validation.

Returns:

- the created
`Operation`

Constructors and Destructors | |
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`SparseAccumulatorApplyGradient(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input local_step, ::tensorflow::Input gradient_indices, ::tensorflow::Input gradient_values, ::tensorflow::Input gradient_shape, bool has_known_shape)` |

Public attributes | |
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`operation` |

Public functions | |
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`operator::tensorflow::Operation() const ` |

Operation operation

SparseAccumulatorApplyGradient( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input local_step, ::tensorflow::Input gradient_indices, ::tensorflow::Input gradient_values, ::tensorflow::Input gradient_shape, bool has_known_shape )

operator::tensorflow::Operation() const

© 2017 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/sparse-accumulator-apply-gradient.html