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体验新版 GitCode,发现更多精彩内容 >>
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445ca3db
编写于
8月 10, 2018
作者:
Q
Qiao Longfei
提交者:
GitHub
8月 10, 2018
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Merge pull request #12607 from jacquesqiao/add-unit-test-for-async-transpile
Add unit test for async transpile
上级
7555cfe3
2ae32f0b
变更
2
显示空白变更内容
内联
并排
Showing
2 changed file
with
87 addition
and
14 deletion
+87
-14
python/paddle/fluid/tests/unittests/test_dist_transpiler.py
python/paddle/fluid/tests/unittests/test_dist_transpiler.py
+78
-6
python/paddle/fluid/transpiler/distribute_transpiler.py
python/paddle/fluid/transpiler/distribute_transpiler.py
+9
-8
未找到文件。
python/paddle/fluid/tests/unittests/test_dist_transpiler.py
浏览文件 @
445ca3db
...
...
@@ -51,17 +51,17 @@ class TranspilerTest(unittest.TestCase):
self
.
origin_prog
=
main
.
clone
()
return
main
def
get_trainer
(
self
,
config
=
None
):
t
=
self
.
_transpiler_instance
(
config
)
def
get_trainer
(
self
,
config
=
None
,
sync_mode
=
True
):
t
=
self
.
_transpiler_instance
(
config
,
sync_mode
)
return
t
.
get_trainer_program
()
def
get_pserver
(
self
,
ep
,
config
=
None
):
t
=
self
.
_transpiler_instance
(
config
)
def
get_pserver
(
self
,
ep
,
config
=
None
,
sync_mode
=
True
):
t
=
self
.
_transpiler_instance
(
config
,
sync_mode
)
pserver
=
t
.
get_pserver_program
(
ep
)
startup
=
t
.
get_startup_program
(
ep
,
pserver
)
return
pserver
,
startup
def
_transpiler_instance
(
self
,
config
=
None
):
def
_transpiler_instance
(
self
,
config
=
None
,
sync_mode
=
True
):
if
not
self
.
transpiler
:
main
=
self
.
get_main_program
()
self
.
transpiler
=
fluid
.
DistributeTranspiler
(
config
=
config
)
...
...
@@ -69,7 +69,8 @@ class TranspilerTest(unittest.TestCase):
self
.
trainer_id
,
program
=
main
,
pservers
=
self
.
pserver_eps
,
trainers
=
self
.
trainers
)
trainers
=
self
.
trainers
,
sync_mode
=
sync_mode
)
return
self
.
transpiler
...
...
@@ -464,5 +465,76 @@ class TestDistLookupTable(TestDistLookupTableBase):
self
.
assertEqual
([
op
.
type
for
op
in
trainer
.
blocks
[
0
].
ops
],
ops
)
class
TestAsyncLocalLookupTable
(
TestDistLookupTableBase
):
def
net_conf
(
self
):
self
.
network_with_table
(
is_sparse
=
True
,
is_distributed
=
False
)
def
transpiler_test_impl
(
self
):
config
=
fluid
.
DistributeTranspilerConfig
()
pserver1
,
startup1
=
self
.
get_pserver
(
self
.
pserver1_ep
,
config
,
False
)
self
.
assertEqual
(
len
(
pserver1
.
blocks
),
3
)
# 0 listen_and_serv
# 1 optimize for fc_w or fc_b adam
self
.
assertEqual
([
op
.
type
for
op
in
pserver1
.
blocks
[
1
].
ops
],
[
"adam"
,
"scale"
,
"scale"
])
# 2 optimize for table adam
# NOTE: if param is not selected rows, the grad will scaled to grad / trainer_num
self
.
assertEqual
([
op
.
type
for
op
in
pserver1
.
blocks
[
2
].
ops
],
[
"adam"
,
"scale"
,
"scale"
])
trainer
=
self
.
get_trainer
(
config
)
self
.
assertEqual
(
len
(
trainer
.
blocks
),
1
)
ops
=
[
'lookup_table'
,
'sequence_pool'
,
'lookup_table'
,
'sequence_pool'
,
'concat'
,
'mul'
,
'elementwise_add'
,
'cross_entropy'
,
'mean'
,
'fill_constant'
,
'mean_grad'
,
'cross_entropy_grad'
,
'elementwise_add_grad'
,
'send'
,
'mul_grad'
,
'send'
,
'concat_grad'
,
'sequence_pool_grad'
,
'lookup_table_grad'
,
'sequence_pool_grad'
,
'lookup_table_grad'
,
'sum'
,
'split_selected_rows'
,
'send'
,
'recv'
,
'recv'
,
'recv'
,
'concat'
]
self
.
assertEqual
([
op
.
type
for
op
in
trainer
.
blocks
[
0
].
ops
],
ops
)
class
TestAsyncDistLookupTable
(
TestDistLookupTableBase
):
def
net_conf
(
self
):
self
.
network_with_table
(
is_sparse
=
True
,
is_distributed
=
True
)
def
transpiler_test_impl
(
self
):
config
=
fluid
.
DistributeTranspilerConfig
()
pserver1
,
startup1
=
self
.
get_pserver
(
self
.
pserver1_ep
,
config
,
False
)
self
.
assertEqual
(
len
(
pserver1
.
blocks
),
6
)
# 0 listen_and_serv
# 1 optimize for fc_w or fc_b adam
self
.
assertEqual
([
op
.
type
for
op
in
pserver1
.
blocks
[
1
].
ops
],
[
"adam"
,
"scale"
,
"scale"
])
# 2 optimize for table sgd
self
.
assertEqual
([
op
.
type
for
op
in
pserver1
.
blocks
[
2
].
ops
],
[
"sgd"
])
# 3 prefetch -> lookup_sparse_table for data0
self
.
assertEqual
([
op
.
type
for
op
in
pserver1
.
blocks
[
3
].
ops
],
[
"lookup_sparse_table"
])
# 4 prefetch -> lookup_sparse_table for data1
self
.
assertEqual
([
op
.
type
for
op
in
pserver1
.
blocks
[
4
].
ops
],
[
"lookup_sparse_table"
])
# 5 save table
self
.
assertEqual
([
op
.
type
for
op
in
pserver1
.
blocks
[
5
].
ops
],
[
"save"
])
trainer
=
self
.
get_trainer
(
config
)
self
.
assertEqual
(
len
(
trainer
.
blocks
),
1
)
ops
=
[
'split_ids'
,
'prefetch'
,
'merge_ids'
,
'sequence_pool'
,
'split_ids'
,
'prefetch'
,
'merge_ids'
,
'sequence_pool'
,
'concat'
,
'mul'
,
'elementwise_add'
,
'cross_entropy'
,
'mean'
,
'fill_constant'
,
'mean_grad'
,
'cross_entropy_grad'
,
'elementwise_add_grad'
,
'send'
,
'mul_grad'
,
'send'
,
'concat_grad'
,
'sequence_pool_grad'
,
'lookup_table_grad'
,
'sequence_pool_grad'
,
'lookup_table_grad'
,
'sum'
,
'split_ids'
,
'send'
,
'recv'
,
'recv'
]
self
.
assertEqual
([
op
.
type
for
op
in
trainer
.
blocks
[
0
].
ops
],
ops
)
if
__name__
==
"__main__"
:
unittest
.
main
()
python/paddle/fluid/transpiler/distribute_transpiler.py
浏览文件 @
445ca3db
...
...
@@ -293,6 +293,7 @@ class DistributeTranspiler(object):
RPC_OP_ROLE_ATTR_NAME
:
RPC_OP_ROLE_ATTR_VALUE
})
if
self
.
sync_mode
:
program
.
global_block
().
append_op
(
type
=
"fetch_barrier"
,
inputs
=
{},
...
...
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