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体验新版 GitCode,发现更多精彩内容 >>
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34a256c9
编写于
3月 21, 2022
作者:
N
Nyakku Shigure
提交者:
GitHub
3月 21, 2022
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fix paddle.tile en docs, test=document_fix (#40731)
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c54c60de
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python/paddle/tensor/manipulation.py
python/paddle/tensor/manipulation.py
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python/paddle/tensor/manipulation.py
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34a256c9
...
...
@@ -1732,12 +1732,12 @@ def tile(x, repeat_times, name=None):
Args:
x (Tensor): The input tensor, its data type should be bool, float32, float64, int32 or int64.
repeat_times (
Tensor|tuple|list
): The number of repeating times. If repeat_times is a list or tuple, all its elements
repeat_times (
list|tuple|Tensor
): The number of repeating times. If repeat_times is a list or tuple, all its elements
should be integers or 1-D Tensors with the data type int32. If repeat_times is a Tensor, it should be an 1-D Tensor with the data type int32.
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
Returns:
N-D Tensor. The data type is the same as ``x``.
N-D Tensor. The data type is the same as ``x``.
The size of the i-th dimension is equal to ``x[i] * repeat_times[i]``.
Examples:
.. code-block:: python
...
...
@@ -1747,16 +1747,18 @@ def tile(x, repeat_times, name=None):
data = paddle.to_tensor([1, 2, 3], dtype='int32')
out = paddle.tile(data, repeat_times=[2, 1])
np_out = out.numpy()
# [[1, 2, 3], [1, 2, 3]]
# [[1, 2, 3]
# [1, 2, 3]]
out = paddle.tile(data, repeat_times=
[2, 2]
)
out = paddle.tile(data, repeat_times=
(2, 2)
)
np_out = out.numpy()
# [[1, 2, 3, 1, 2, 3], [1, 2, 3, 1, 2, 3]]
# [[1, 2, 3, 1, 2, 3]
# [1, 2, 3, 1, 2, 3]]
repeat_times = paddle.to_tensor([
2, 1
], dtype='int32')
repeat_times = paddle.to_tensor([
1, 2
], dtype='int32')
out = paddle.tile(data, repeat_times=repeat_times)
np_out = out.numpy()
# [[1, 2, 3
], [
1, 2, 3]]
# [[1, 2, 3
,
1, 2, 3]]
"""
if
paddle
.
in_dynamic_mode
():
return
_C_ops
.
tile
(
x
,
'repeat_times'
,
repeat_times
)
...
...
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