The gradient of SparseFillEmptyRows.
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Compat aliases for migration
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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})