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体验新版 GitCode,发现更多精彩内容 >>
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443cf71a
编写于
6月 07, 2021
作者:
Z
zhangchunle
提交者:
GitHub
6月 07, 2021
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差异文件
fix undefined-variable (#33355)
上级
599e9e48
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
14 addition
and
10 deletion
+14
-10
python/paddle/distributed/fleet/meta_optimizers/dygraph_optimizer/hybrid_parallel_optimizer.py
...optimizers/dygraph_optimizer/hybrid_parallel_optimizer.py
+3
-0
python/paddle/fluid/contrib/model_stat.py
python/paddle/fluid/contrib/model_stat.py
+1
-0
python/paddle/fluid/tests/unittests/ir_memory_optimize_net_base.py
...ddle/fluid/tests/unittests/ir_memory_optimize_net_base.py
+1
-1
python/paddle/fluid/tests/unittests/test_auto_checkpoint.py
python/paddle/fluid/tests/unittests/test_auto_checkpoint.py
+1
-1
python/paddle/fluid/tests/unittests/test_dyn_rnn.py
python/paddle/fluid/tests/unittests/test_dyn_rnn.py
+1
-1
python/paddle/fluid/tests/unittests/test_onnx_export.py
python/paddle/fluid/tests/unittests/test_onnx_export.py
+1
-1
python/paddle/hapi/model.py
python/paddle/hapi/model.py
+6
-6
未找到文件。
python/paddle/distributed/fleet/meta_optimizers/dygraph_optimizer/hybrid_parallel_optimizer.py
浏览文件 @
443cf71a
...
...
@@ -14,6 +14,7 @@
from
__future__
import
print_function
import
sys
import
paddle
from
paddle.optimizer
import
Optimizer
from
paddle.fluid.clip
import
ClipGradByGlobalNorm
from
...utils.hybrid_parallel_util
import
fused_allreduce_gradients
...
...
@@ -22,6 +23,8 @@ from paddle.fluid.dygraph import base as imperative_base
from
paddle.fluid
import
framework
from
paddle.fluid.framework
import
Variable
from
...utils.log_util
import
logger
from
paddle.fluid
import
core
from
paddle.fluid
import
layers
__all__
=
[]
...
...
python/paddle/fluid/contrib/model_stat.py
浏览文件 @
443cf71a
...
...
@@ -150,6 +150,7 @@ def _format_summary(collected_ops_list):
'''
_verify_dependent_package
()
from
prettytable
import
PrettyTable
summary_table
=
PrettyTable
(
[
"No."
,
"TYPE"
,
"INPUT"
,
"OUTPUT"
,
"PARAMs"
,
"FLOPs"
])
summary_table
.
align
=
'r'
...
...
python/paddle/fluid/tests/unittests/ir_memory_optimize_net_base.py
浏览文件 @
443cf71a
...
...
@@ -13,7 +13,7 @@
# limitations under the License.
import
os
import
sys
import
six
import
unittest
import
time
...
...
python/paddle/fluid/tests/unittests/test_auto_checkpoint.py
浏览文件 @
443cf71a
...
...
@@ -268,7 +268,7 @@ class AutoCheckpointTest(AutoCheckPointACLBase):
def
test_checker
(
self
):
os
.
environ
.
pop
(
"PADDLE_JOB_ID"
,
None
)
try
:
checker
=
AutoCheckpointChecker
()
checker
=
acp
.
AutoCheckpointChecker
()
self
.
assertFalse
(
True
)
except
Exception
as
e
:
pass
...
...
python/paddle/fluid/tests/unittests/test_dyn_rnn.py
浏览文件 @
443cf71a
...
...
@@ -333,7 +333,7 @@ class TestDynamicRNNErrors(unittest.TestCase):
hidden
=
fluid
.
layers
.
fc
(
input
=
[
word
,
memory
],
size
=
10
,
act
=
'tanh'
)
out
=
n
p
.
ones
(
1
).
astype
(
'float32'
)
out
=
n
umpy
.
ones
(
1
).
astype
(
'float32'
)
drnn
.
update_memory
(
ex_mem
=
memory
,
new_mem
=
hidden
)
drnn
.
output
(
hidden
,
out
)
...
...
python/paddle/fluid/tests/unittests/test_onnx_export.py
浏览文件 @
443cf71a
...
...
@@ -47,7 +47,7 @@ class TestExportWithTensor(unittest.TestCase):
self
.
x_spec
=
paddle
.
static
.
InputSpec
(
shape
=
[
None
,
128
],
dtype
=
'float32'
)
def
test_with_tensor
():
def
test_with_tensor
(
self
):
model
=
LinearNet
()
paddle
.
onnx
.
export
(
model
,
'linear_net'
,
input_spec
=
[
self
.
x_spec
])
...
...
python/paddle/hapi/model.py
浏览文件 @
443cf71a
...
...
@@ -163,7 +163,7 @@ def init_communicator(program, rank, nranks, wait_port, current_endpoint,
})
elif
core
.
is_compiled_with_npu
():
hccl_id_var
=
block
.
create_var
(
name
=
unique_name
.
generate
(
'hccl_id'
),
name
=
fluid
.
unique_name
.
generate
(
'hccl_id'
),
persistable
=
True
,
type
=
core
.
VarDesc
.
VarType
.
RAW
)
endpoint_to_index_map
=
{
e
:
idx
for
idx
,
e
in
enumerate
(
endpoints
)}
...
...
@@ -710,10 +710,10 @@ class DynamicGraphAdapter(object):
enable
=
self
.
_amp_level
!=
'O0'
,
**
self
.
_amp_custom_lists
):
if
self
.
_nranks
>
1
:
outputs
=
self
.
ddp_model
.
forward
(
*
[
to_variable
(
x
)
for
x
in
inputs
])
*
[
to_variable
(
x
)
for
x
in
inputs
])
else
:
outputs
=
self
.
model
.
network
.
forward
(
*
[
to_variable
(
x
)
for
x
in
inputs
])
*
[
to_variable
(
x
)
for
x
in
inputs
])
losses
=
self
.
model
.
_loss
(
*
(
to_list
(
outputs
)
+
labels
))
losses
=
to_list
(
losses
)
...
...
@@ -732,7 +732,7 @@ class DynamicGraphAdapter(object):
metrics
=
[]
for
metric
in
self
.
model
.
_metrics
:
metric_outs
=
metric
.
compute
(
*
(
to_list
(
outputs
)
+
labels
))
m
=
metric
.
update
(
*
[
to_numpy
(
m
)
for
m
in
to_list
(
metric_outs
)])
m
=
metric
.
update
(
*
[
to_numpy
(
m
)
for
m
in
to_list
(
metric_outs
)])
metrics
.
append
(
m
)
return
([
to_numpy
(
l
)
for
l
in
losses
],
metrics
)
\
...
...
@@ -746,7 +746,7 @@ class DynamicGraphAdapter(object):
labels
=
labels
or
[]
labels
=
[
to_variable
(
l
)
for
l
in
to_list
(
labels
)]
outputs
=
self
.
model
.
network
.
forward
(
*
[
to_variable
(
x
)
for
x
in
inputs
])
outputs
=
self
.
model
.
network
.
forward
(
*
[
to_variable
(
x
)
for
x
in
inputs
])
if
self
.
model
.
_loss
:
losses
=
self
.
model
.
_loss
(
*
(
to_list
(
outputs
)
+
labels
))
losses
=
to_list
(
losses
)
...
...
@@ -777,7 +777,7 @@ class DynamicGraphAdapter(object):
self
.
_merge_count
[
self
.
mode
+
'_batch'
]
=
samples
metric_outs
=
metric
.
compute
(
*
(
to_list
(
outputs
)
+
labels
))
m
=
metric
.
update
(
*
[
to_numpy
(
m
)
for
m
in
to_list
(
metric_outs
)])
m
=
metric
.
update
(
*
[
to_numpy
(
m
)
for
m
in
to_list
(
metric_outs
)])
metrics
.
append
(
m
)
if
self
.
model
.
_loss
and
len
(
metrics
):
...
...
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