tf.raw_ops.SparseSliceGrad

The gradient operator for the SparseSlice op.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SparseSliceGrad

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, 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.