The gradient operator for the SparseSlice op.
tf.raw_ops.SparseSliceGrad(
backprop_val_grad, input_indices, input_start, output_indices, name=None
)
This op takes in the upstream gradient w.r.t. non-empty values of
the sliced SparseTensor
, and outputs the gradients w.r.t.
the non-empty values of input SparseTensor
.
Args |
backprop_val_grad
|
A Tensor . Must be one of the following types: float32 , float64 , int32 , uint8 , int16 , int8 , complex64 , int64 , qint8 , quint8 , qint32 , bfloat16 , qint16 , quint16 , uint16 , complex128 , half , uint32 , uint64 .
1-D. The gradient with respect to
the non-empty values of the sliced SparseTensor .
|
input_indices
|
A Tensor of type int64 .
2-D. The indices of the input SparseTensor .
|
input_start
|
A Tensor of type int64 .
1-D. tensor represents the start of the slice.
|
output_indices
|
A Tensor of type int64 .
2-D. The indices of the sliced SparseTensor .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor . Has the same type as backprop_val_grad .
|