tf.raw_ops.SparseSparseMaximum

Returns the element-wise max of two SparseTensors.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SparseSparseMaximum

tf.raw_ops.SparseSparseMaximum(
    a_indices, a_values, a_shape, b_indices, b_values, b_shape, name=None
)

Assumes the two SparseTensors have the same shape, i.e., no broadcasting.

Args
a_indices	A Tensor of type int64. 2-D. N x R matrix with the indices of non-empty values in a SparseTensor, in the canonical lexicographic ordering.
a_values	A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64. 1-D. N non-empty values corresponding to a_indices.
a_shape	A Tensor of type int64. 1-D. Shape of the input SparseTensor.
b_indices	A Tensor of type int64. counterpart to a_indices for the other operand.
b_values	A Tensor. Must have the same type as a_values. counterpart to a_values for the other operand; must be of the same dtype.
b_shape	A Tensor of type int64. counterpart to a_shape for the other operand; the two shapes must be equal.
name	A name for the operation (optional).

Returns
A tuple of Tensor objects (output_indices, output_values).
output_indices	A Tensor of type int64.
output_values	A Tensor. Has the same type as a_values.