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体验新版 GitCode,发现更多精彩内容 >>
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4046f130
编写于
3月 23, 2021
作者:
F
Feiyu Chan
提交者:
GitHub
3月 23, 2021
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差异文件
add coalesce_tensor into white list when checking re-creation of parameters (#31800)
上级
a70de87d
变更
2
隐藏空白更改
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并排
Showing
2 changed file
with
58 addition
and
1 deletion
+58
-1
python/paddle/fluid/framework.py
python/paddle/fluid/framework.py
+5
-1
python/paddle/fluid/tests/unittests/rnn/test_rnn_cudnn_params_packing.py
...luid/tests/unittests/rnn/test_rnn_cudnn_params_packing.py
+53
-0
未找到文件。
python/paddle/fluid/framework.py
浏览文件 @
4046f130
...
...
@@ -3031,7 +3031,11 @@ class Block(object):
# In startup_program, "c_broadcast" and "c_sync_comm_stream"
# are treated as initialization ops that cause error.
# Think of "c_broadcast" and "c_sync_comm_stream" as a special case here.
if
op
.
type
in
[
"c_broadcast"
,
"c_sync_comm_stream"
]:
# NOTE: "coalesce_tensor" is a special case for rnn with cudnn support
if
op
.
type
in
[
"c_broadcast"
,
"c_sync_comm_stream"
,
"coalesce_tensor"
]:
continue
init_ops
.
append
(
op
)
return
init_ops
...
...
python/paddle/fluid/tests/unittests/rnn/test_rnn_cudnn_params_packing.py
0 → 100644
浏览文件 @
4046f130
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import
paddle
from
unittest
import
TestCase
def
create_model
():
hidden_size
=
32
bilstm
=
paddle
.
nn
.
LSTM
(
hidden_size
,
hidden_size
,
num_layers
=
1
,
direction
=
'bidirectional'
)
return
bilstm
class
TestRNNProgramClone
(
TestCase
):
def
setUp
(
self
):
paddle
.
enable_static
()
def
test_rnn_with_cudnn_clone
(
self
):
train_program
=
paddle
.
static
.
Program
()
test_program
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
# test a typical case in static graph usage: create two nearly
# identical program with a shared startup program to share their
# parameters
#
# when creating a parameter, the name is checked. If there is already
# a parameter with the same name, which is the output of a operator
# (i.e. its creator), its re-creation is skipped.
#
# but if that parameter has been the output of more than one operator,
# an exception is raised. For special cases, white list is added.
# flattening rnn's parameters for the need to call cudnn kernel is such
# a case.
with
paddle
.
static
.
program_guard
(
train_program
,
startup_prog
):
with
paddle
.
fluid
.
unique_name
.
guard
():
bilstm
=
create_model
()
with
paddle
.
fluid
.
program_guard
(
test_program
,
startup_prog
):
with
paddle
.
fluid
.
unique_name
.
guard
():
bilstm
=
create_model
()
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