tf.raw_ops.SparseSparseMinimum

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, 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.