tf.setdiff1d(
x,
y,
index_dtype=tf.dtypes.int32,
name=None
)
Defined in tensorflow/python/ops/array_ops.py
.
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
: ATensor
. 1-D. Values to keep.y
: ATensor
. Must have the same type asx
. 1-D. Values to remove.out_idx
: An optionaltf.DType
from:tf.int32, tf.int64
. Defaults totf.int32
.name
: A name for the operation (optional).
Returns:
A tuple of Tensor
objects (out, idx).
out
: ATensor
. Has the same type asx
.idx
: ATensor
of typeout_idx
.