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pytensor
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faceb722
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faceb722
authored
5月 26, 2015
作者:
Frédéric Bastien
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Merge pull request #2960 from 317070/patch-3
Upate test_nnet.py with language fixes
上级
4cf7afb4
22da25f5
隐藏空白字符变更
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1 个修改的文件
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4 行增加
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4 行删除
+4
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test_nnet.py
theano/sandbox/cuda/tests/test_nnet.py
+4
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没有找到文件。
theano/sandbox/cuda/tests/test_nnet.py
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faceb722
...
@@ -27,7 +27,7 @@ def test_GpuCrossentropySoftmaxArgmax1HotWithBias():
...
@@ -27,7 +27,7 @@ def test_GpuCrossentropySoftmaxArgmax1HotWithBias():
"""
"""
This is basic test for GpuCrossentropySoftmaxArgmax1HotWithBias
This is basic test for GpuCrossentropySoftmaxArgmax1HotWithBias
We check that we loop when the
ir is too much
threads
We check that we loop when the
re are too many
threads
"""
"""
...
@@ -101,7 +101,7 @@ def test_GpuCrossentropySoftmax1HotWithBiasDx():
...
@@ -101,7 +101,7 @@ def test_GpuCrossentropySoftmax1HotWithBiasDx():
"""
"""
This is basic test for GpuCrossentropySoftmax1HotWithBiasDx
This is basic test for GpuCrossentropySoftmax1HotWithBiasDx
We check that we loop when the
ir is too much
threads
We check that we loop when the
re are too many
threads
"""
"""
n_in
=
1000
n_in
=
1000
...
@@ -171,7 +171,7 @@ def test_softmax_with_bias():
...
@@ -171,7 +171,7 @@ def test_softmax_with_bias():
We check that we loop when their is too much block
We check that we loop when their is too much block
TODO: check that we loop when the
ir is too much thread
.(THIS IS
TODO: check that we loop when the
re are too many threads
.(THIS IS
NOT IMPLEMENTED)
NOT IMPLEMENTED)
"""
"""
x
=
T
.
fmatrix
(
'x'
)
x
=
T
.
fmatrix
(
'x'
)
...
@@ -225,7 +225,7 @@ class test_SoftMax(unittest.TestCase):
...
@@ -225,7 +225,7 @@ class test_SoftMax(unittest.TestCase):
"""
"""
This is basic test for GpuSoftmax and GpuDnnSoftmax
This is basic test for GpuSoftmax and GpuDnnSoftmax
We check that we loop when the
ir
is too much block
We check that we loop when the
re
is too much block
We use slower code when there isn't enough shared memory
We use slower code when there isn't enough shared memory
"""
"""
f_z_out
=
f_z
(
x
)
f_z_out
=
f_z
(
x
)
...
...
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