Returns the element-wise min of two SparseTensors.
tf.raw_ops.SparseSparseMinimum(
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 , complex64 , int64 , qint8 , quint8 , qint32 , bfloat16 , qint16 , quint16 , uint16 , complex128 , 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 .
|