tensorflow::ops::SparseFillEmptyRowsGrad

#include <sparse_ops.h>

The gradient of SparseFillEmptyRows.

Summary

Takes vectors reverse_index_map, shaped [N], and grad_values, shaped [N_full], where N_full >= N and copies data into either d_values or d_default_value. Here d_values is shaped [N] and d_default_value is a scalar.

d_values[j] = grad_values[reverse_index_map[j]] d_default_value = sum_{k : 0 .. N_full - 1} ( grad_values[k] * 1{k not in reverse_index_map})

Arguments:

• scope: A Scope object
• reverse_index_map: 1-D. The reverse index map from SparseFillEmptyRows.
• grad_values: 1-D. The gradients from backprop.

Returns:

• Output d_values: 1-D. The backprop into values.
• Output d_default_value: 0-D. The backprop into default_value.

Public attributes

::tensorflow::Output d_default_value

::tensorflow::Output d_values

Public functions

 SparseFillEmptyRowsGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input reverse_index_map,
  ::tensorflow::Input grad_values
)