tf.raw_ops.SparseFillEmptyRowsGrad
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The gradient of SparseFillEmptyRows.
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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.
|
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Last updated 2024-01-23 UTC.
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