tf.raw_ops.SparseFillEmptyRowsGrad

The gradient of SparseFillEmptyRows.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SparseFillEmptyRowsGrad

tf.raw_ops.SparseFillEmptyRowsGrad(
    reverse_index_map, grad_values, name=None
)

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_defaultvalue = sum{k : 0 .. N_full - 1} ( grad_values[k] * 1{k not in reverse_index_map})

Args
reverse_index_map	A Tensor of type int64. 1-D. The reverse index map from SparseFillEmptyRows.
grad_values	A Tensor. 1-D. The gradients from backprop.
name	A name for the operation (optional).

Returns
A tuple of Tensor objects (d_values, d_default_value).
d_values	A Tensor. Has the same type as grad_values.
d_default_value	A Tensor. Has the same type as grad_values.