tf.raw_ops.SparseSparseMaximum

Returns the element-wise max of two SparseTensors.

Compat aliases for migration

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`.

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