SparseFillEmptyRowsGrad

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public final class SparseFillEmptyRowsGrad

The gradient of SparseFillEmptyRows.

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})

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

static <T extends TType> SparseFillEmptyRowsGrad<T>
create(Scope scope, Operand<TInt64> reverseIndexMap, Operand<T> gradValues)
Factory method to create a class wrapping a new SparseFillEmptyRowsGrad operation.
Output<T>
dDefaultValue()
0-D.
Output<T>
dValues()
1-D.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseFillEmptyRowsGrad"

Public Methods

public static SparseFillEmptyRowsGrad<T> create (Scope scope, Operand<TInt64> reverseIndexMap, Operand<T> gradValues)

Factory method to create a class wrapping a new SparseFillEmptyRowsGrad operation.

Parameters
scope current scope
reverseIndexMap 1-D. The reverse index map from SparseFillEmptyRows.
gradValues 1-D. The gradients from backprop.
Returns
  • a new instance of SparseFillEmptyRowsGrad

public Output<T> dDefaultValue ()

0-D. The backprop into default_value.

public Output<T> dValues ()

1-D. The backprop into values.