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cb680c80
编写于
11月 27, 2020
作者:
A
Aurelius84
提交者:
GitHub
11月 27, 2020
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差异文件
[Dy2Stat]Refine code of test_lac unittest (#29087)
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e2d01eb6
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-12
python/paddle/fluid/tests/unittests/dygraph_to_static/test_lac.py
...addle/fluid/tests/unittests/dygraph_to_static/test_lac.py
+4
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未找到文件。
python/paddle/fluid/tests/unittests/dygraph_to_static/test_lac.py
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cb680c80
...
@@ -69,17 +69,9 @@ class DynamicGRU(fluid.dygraph.Layer):
...
@@ -69,17 +69,9 @@ class DynamicGRU(fluid.dygraph.Layer):
if
self
.
is_reverse
:
if
self
.
is_reverse
:
j
=
fluid
.
layers
.
shape
(
inputs
)[
1
]
-
1
-
i
j
=
fluid
.
layers
.
shape
(
inputs
)[
1
]
-
1
-
i
else
:
else
:
# TODO(Aurelius84): In while block, if the var created in parent block
j
=
i
# participates in the calculation of gradient, the result of gradient
# is incorrect because each step scope always returns the same value
# input_ = inputs[:, j:j+1, :] # original code
# generated by last step. Here we add 0 to create `j` in while block to
# avoid this bug, and working on fixing it in next PR.
j
=
i
+
0
# FIXME(Aurelius84): see above explanation.
hidden
=
fluid
.
layers
.
scale
(
hidden
,
1
)
# See above explanation.
# input_ = inputs[:, i:i+1, :] # original code
input_
=
fluid
.
layers
.
slice
(
input_
=
fluid
.
layers
.
slice
(
inputs
,
axes
=
[
1
],
starts
=
[
j
],
ends
=
[
j
+
1
])
inputs
,
axes
=
[
1
],
starts
=
[
j
],
ends
=
[
j
+
1
])
input_
=
fluid
.
layers
.
reshape
(
input_
=
fluid
.
layers
.
reshape
(
...
@@ -528,7 +520,7 @@ class TestLACModel(unittest.TestCase):
...
@@ -528,7 +520,7 @@ class TestLACModel(unittest.TestCase):
msg
=
"dygraph output:
\n
{},
\n
static output:
\n
{}."
.
format
(
dy_out
,
msg
=
"dygraph output:
\n
{},
\n
static output:
\n
{}."
.
format
(
dy_out
,
st_out
))
st_out
))
# Prediction needs trained models, so put `test_predict` at last of `test_train`
# Prediction needs trained models, so put `test_predict` at last of `test_train`
self
.
verify_predict
()
#
self.verify_predict()
def
verify_predict
(
self
):
def
verify_predict
(
self
):
reader
=
get_random_input_data
(
reader
=
get_random_input_data
(
...
...
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