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0f30d3a2
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0f30d3a2
编写于
11月 18, 2019
作者:
Z
Zeng Jinle
提交者:
GitHub
11月 18, 2019
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电子邮件补丁
差异文件
fix dygraph trace bug, test=develop (#21193)
上级
7269ffe3
变更
2
显示空白变更内容
内联
并排
Showing
2 changed file
with
7 addition
and
4 deletion
+7
-4
python/paddle/fluid/dygraph/jit.py
python/paddle/fluid/dygraph/jit.py
+1
-1
python/paddle/fluid/tests/unittests/test_imperative_transformer_sorted_gradient.py
.../unittests/test_imperative_transformer_sorted_gradient.py
+6
-3
未找到文件。
python/paddle/fluid/dygraph/jit.py
浏览文件 @
0f30d3a2
...
@@ -376,7 +376,7 @@ class TracedLayer(object):
...
@@ -376,7 +376,7 @@ class TracedLayer(object):
if
partial_vars
is
None
:
if
partial_vars
is
None
:
return
all_vars
return
all_vars
return
[
all_vars
[
idx
]
for
idx
in
feed
]
return
[
all_vars
[
idx
]
for
idx
in
partial_vars
]
with
scope_guard
(
self
.
_scope
):
with
scope_guard
(
self
.
_scope
):
feeded_var_names
=
get_feed_fetch
(
self
.
_feed_names
,
feed
)
feeded_var_names
=
get_feed_fetch
(
self
.
_feed_names
,
feed
)
...
...
python/paddle/fluid/tests/unittests/test_imperative_transformer_sorted_gradient.py
浏览文件 @
0f30d3a2
...
@@ -988,8 +988,9 @@ class TestDygraphTransformerSortGradient(unittest.TestCase):
...
@@ -988,8 +988,9 @@ class TestDygraphTransformerSortGradient(unittest.TestCase):
if
i
%
2
==
0
:
if
i
%
2
==
0
:
outs
,
traced_layer
=
TracedLayer
.
trace
(
outs
,
traced_layer
=
TracedLayer
.
trace
(
transformer
,
[
enc_inputs
,
dec_inputs
,
label
,
weights
])
transformer
,
[
enc_inputs
,
dec_inputs
,
label
,
weights
])
outs_static
=
traced_layer
(
enc_inputs
+
dec_inputs
+
[
label
,
weights
])
ins_static
=
enc_inputs
+
dec_inputs
+
[
label
,
weights
]
outs_static
=
traced_layer
(
ins_static
)
helper
.
assertEachVar
(
outs
,
outs_static
)
helper
.
assertEachVar
(
outs
,
outs_static
)
if
program
is
not
None
:
if
program
is
not
None
:
self
.
assertTrue
(
self
.
assertTrue
(
...
@@ -997,7 +998,9 @@ class TestDygraphTransformerSortGradient(unittest.TestCase):
...
@@ -997,7 +998,9 @@ class TestDygraphTransformerSortGradient(unittest.TestCase):
program
=
traced_layer
.
program
program
=
traced_layer
.
program
traced_layer
.
save_inference_model
(
traced_layer
.
save_inference_model
(
'./infer_imperative_transformer'
)
'./infer_imperative_transformer'
,
feed
=
range
(
len
(
ins_static
)),
fetch
=
range
(
len
(
outs_static
)))
else
:
else
:
outs
=
transformer
(
enc_inputs
,
dec_inputs
,
label
,
weights
)
outs
=
transformer
(
enc_inputs
,
dec_inputs
,
label
,
weights
)
...
...
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