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Fix tf.meshgrid documentation (#9740)

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The original document has the wrong output regarding the default indexing xy.

    x = [1, 2, 3]
    y = [4, 5, 6]
    X, Y = tf.meshgrid(x, y)
    print(X.eval())
    print(Y.eval())

    [[1 2 3]
     [1 2 3]
     [1 2 3]]
    [[4 4 4]
     [5 5 5]
     [6 6 6]]
This commit is contained in:
Jianfei Wang 2017-05-08 02:02:58 +08:00 committed by Vijay Vasudevan
parent d156525025
commit bdca561c27
1 changed files with 9 additions and 9 deletions
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18
tensorflow/python/ops/array_ops.py
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@ -1690,21 +1690,21 @@ def meshgrid(*args, **kwargs):
results in
```prettyprint
X = [[1, 1, 1],
[2, 2, 2],
[3, 3, 3]]
Y = [[4, 5, 6],
[4, 5, 6],
[4, 5, 6]]
X = [[1, 2, 3],
[1, 2, 3],
[1, 2, 3]]
Y = [[4, 4, 4],
[5, 5, 5],
[6, 6, 6]]
```
Args:
*args: `Tensor`s with rank 1
indexing: Either 'xy' or 'ij' (optional, default: 'xy')
*args: `Tensor`s with rank 1.
indexing: Either 'xy' or 'ij' (optional, default: 'xy').
name: A name for the operation (optional).
Returns:
outputs: A list of N `Tensor`s with rank N
outputs: A list of N `Tensor`s with rank N.
"""
indexing = kwargs.pop("indexing", "xy")