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.
|
