tf.setdiff1d

tf.setdiff1d(
    x,
    y,
    index_dtype=tf.int32,
    name=None
)

Defined in tensorflow/python/ops/array_ops.py.

See the guide: Upgrade to TensorFlow 1.0 > Upgrading your code manually

Computes the difference between two lists of numbers or strings.

Given a list x and a list y, this operation returns a list out that represents all values that are in x but not in y. The returned list out is sorted in the same order that the numbers appear in x (duplicates are preserved). This operation also returns a list idx that represents the position of each out element in x. In other words:

out[i] = x[idx[i]] for i in [0, 1, ..., len(out) - 1]

For example, given this input:

x = [1, 2, 3, 4, 5, 6]
y = [1, 3, 5]

This operation would return:

out ==> [2, 4, 6]
idx ==> [1, 3, 5]

Args:

  • x: A Tensor. 1-D. Values to keep.
  • y: A Tensor. Must have the same type as x. 1-D. Values to remove.
  • out_idx: An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int32.
  • name: A name for the operation (optional).

Returns:

A tuple of Tensor objects (out, idx).

  • out: A Tensor. Has the same type as x.
  • idx: A Tensor of type out_idx.