Returns the element-wise max of two SparseTensors.
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.
|