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adfa4688
编写于
6月 04, 2020
作者:
M
Megvii Engine Team
提交者:
Xu Xinran
6月 19, 2020
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fix(mge/functional): fix scatter doctest failed for GPU platform issue
GitOrigin-RevId: b5f92c39dd46f13aee07e9cad441e017069aaa3a
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4f8e6080
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1
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1 changed file
with
11 addition
and
4 deletion
+11
-4
python_module/megengine/functional/tensor.py
python_module/megengine/functional/tensor.py
+11
-4
未找到文件。
python_module/megengine/functional/tensor.py
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adfa4688
...
@@ -236,6 +236,14 @@ def scatter(inp: Tensor, axis: int, index: Tensor, source: Tensor) -> Tensor:
...
@@ -236,6 +236,14 @@ def scatter(inp: Tensor, axis: int, index: Tensor, source: Tensor) -> Tensor:
Moreover, the values of :attr:`index` must be between ``0`` and ``inp.shape(axis) - 1`` inclusive.
Moreover, the values of :attr:`index` must be between ``0`` and ``inp.shape(axis) - 1`` inclusive.
.. note::
Please notice that, due to performance issues, the result is uncertain on the GPU device
if scatter difference positions from source to the same destination position
regard to index tensor.
Show the case using the following examples, the oup[0][2] is maybe
from source[0][2] which value is 0.2256 or source[1][2] which value is 0.5339
if set the index[1][2] from 1 to 0.
:param inp: the inp tensor which to be scattered
:param inp: the inp tensor which to be scattered
:param axis: the axis along which to index
:param axis: the axis along which to index
...
@@ -252,17 +260,16 @@ def scatter(inp: Tensor, axis: int, index: Tensor, source: Tensor) -> Tensor:
...
@@ -252,17 +260,16 @@ def scatter(inp: Tensor, axis: int, index: Tensor, source: Tensor) -> Tensor:
inp = tensor(np.zeros(shape=(3,5),dtype=np.float32))
inp = tensor(np.zeros(shape=(3,5),dtype=np.float32))
source = tensor([[0.9935,0.9465,0.2256,0.8926,0.4396],[0.7723,0.0718,0.5939,0.357,0.4576]])
source = tensor([[0.9935,0.9465,0.2256,0.8926,0.4396],[0.7723,0.0718,0.5939,0.357,0.4576]])
index = tensor([[0,2,0,2,1],[2,0,
0
,1,2]])
index = tensor([[0,2,0,2,1],[2,0,
1
,1,2]])
oup = F.scatter(inp, 0, index,source)
oup = F.scatter(inp, 0, index,source)
print(oup.numpy())
print(oup.numpy())
Outputs:
Outputs:
.. testoutput::
.. testoutput::
:options: +SKIP
[[0.9935 0.0718 0.
5939
0. 0. ]
[[0.9935 0.0718 0.
2256
0. 0. ]
[0. 0. 0.
0.357 0.4396]
[0. 0. 0.
5939
0.357 0.4396]
[0.7723 0.9465 0. 0.8926 0.4576]]
[0.7723 0.9465 0. 0.8926 0.4576]]
"""
"""
...
...
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