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161998f7
编写于
11月 22, 2022
作者:
J
JZ-LIANG
提交者:
GitHub
11月 22, 2022
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电子邮件补丁
差异文件
[Auto Parallel] Recompute Support New Graph Executor (#47846)
* add depend * fp16 pass distinguish None & False * engine log
上级
ae256454
变更
2
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2 changed file
with
102 addition
and
1 deletion
+102
-1
python/paddle/distributed/auto_parallel/utils.py
python/paddle/distributed/auto_parallel/utils.py
+91
-0
python/paddle/distributed/passes/auto_parallel_recompute.py
python/paddle/distributed/passes/auto_parallel_recompute.py
+11
-1
未找到文件。
python/paddle/distributed/auto_parallel/utils.py
浏览文件 @
161998f7
...
@@ -1407,6 +1407,27 @@ def naive_set_dist_op_attr_for_program_by_mesh_and_mapping(
...
@@ -1407,6 +1407,27 @@ def naive_set_dist_op_attr_for_program_by_mesh_and_mapping(
ctx
.
set_op_dist_attr_for_program
(
new_op
,
new_op_dist_attr
)
ctx
.
set_op_dist_attr_for_program
(
new_op
,
new_op_dist_attr
)
def
naive_set_dist_op_attr_for_program_by_mesh
(
new_op
,
process_mesh
,
ctx
,
is_recompute
=
False
):
assert
process_mesh
is
not
None
new_op_dist_attr
=
OperatorDistributedAttribute
()
for
input_varname
in
new_op
.
desc
.
input_arg_names
():
var
=
ctx
.
serial_main_program
.
global_block
().
var
(
input_varname
)
mapping
=
ctx
.
get_tensor_dist_attr_for_program
(
var
).
dims_mapping
new_op_dist_attr
.
set_input_dims_mapping
(
input_varname
,
mapping
)
for
output_varname
in
new_op
.
desc
.
output_arg_names
():
var
=
ctx
.
serial_main_program
.
global_block
().
var
(
output_varname
)
mapping
=
ctx
.
get_tensor_dist_attr_for_program
(
var
).
dims_mapping
new_op_dist_attr
.
set_output_dims_mapping
(
output_varname
,
mapping
)
new_op_dist_attr
.
process_mesh
=
process_mesh
new_op_dist_attr
.
is_recompute
=
is_recompute
ctx
.
set_op_dist_attr_for_program
(
new_op
,
new_op_dist_attr
)
def
update_op_dims_mapping_by_default_dist_impl
(
dist_op
):
def
update_op_dims_mapping_by_default_dist_impl
(
dist_op
):
changed
=
False
changed
=
False
op_dist_attr
=
dist_op
.
dist_attr
op_dist_attr
=
dist_op
.
dist_attr
...
@@ -2102,3 +2123,73 @@ def _copy_dist_attr_from_cpp_for_graph(dist_context):
...
@@ -2102,3 +2123,73 @@ def _copy_dist_attr_from_cpp_for_graph(dist_context):
py_dist_attr
=
dist_context
.
get_op_dist_attr_for_graph
(
node
)
py_dist_attr
=
dist_context
.
get_op_dist_attr_for_graph
(
node
)
cpp_dist_attr
=
node
.
op
().
dist_attr
cpp_dist_attr
=
node
.
op
().
dist_attr
_copy_op_dist_attr_from_cpp
(
cpp_dist_attr
,
py_dist_attr
)
_copy_op_dist_attr_from_cpp
(
cpp_dist_attr
,
py_dist_attr
)
def
insert_dependencies_for_two_ops
(
block
,
idx
,
prior_op
,
posterior
,
dist_context
,
is_recompute
=
False
,
sync
=
False
,
):
"""
dependency: prior_op should be run before posterior
"""
assert
(
len
(
prior_op
.
output_arg_names
)
>=
1
),
"first op of dependency should at least have one output. [{}]"
.
format
(
str
(
prior_op
)
)
assert
(
len
(
posterior
.
input_arg_names
)
>=
1
),
"second op of dependency should at least have one input. [{}]"
.
format
(
str
(
posterior
)
)
prior_op_mesh
=
dist_context
.
get_op_dist_attr_for_program
(
prior_op
).
process_mesh
posterior_mesh
=
dist_context
.
get_op_dist_attr_for_program
(
posterior
).
process_mesh
assert
(
prior_op_mesh
==
posterior_mesh
),
"two ops of dependency should have same mesh but got [{}] and [{}]"
.
format
(
str
(
prior_op_mesh
),
str
(
posterior_mesh
)
)
def
_select_best_depend_var
(
vars
):
vars_with_numels
=
[(
var
,
get_var_numel
(
var
))
for
var
in
vars
]
vars_with_numels
.
sort
(
key
=
lambda
x
:
x
[
1
])
return
vars_with_numels
[
-
1
][
0
]
first_var
=
_select_best_depend_var
(
[
block
.
var
(
name
)
for
name
in
prior_op
.
output_arg_names
]
)
second_var
=
_select_best_depend_var
(
[
block
.
var
(
name
)
for
name
in
posterior
.
input_arg_names
]
)
depend_op
=
block
.
_insert_op_without_sync
(
idx
,
type
=
'nop'
,
inputs
=
{
"X"
:
first_var
,
},
outputs
=
{
"Out"
:
second_var
},
)
# depend_op.desc.set_type("depend")
depend_op
.
_set_attr
(
OP_ROLE_KEY
,
OpRole
.
Backward
)
# depend_op.desc.set_input("Dep", [first_var.name])
# self.desc.set_output(out_proto.name, out_arg_names)
naive_set_dist_op_attr_for_program_by_mesh
(
depend_op
,
prior_op_mesh
,
dist_context
,
is_recompute
)
if
sync
:
block
.
_sync_with_cpp
()
python/paddle/distributed/passes/auto_parallel_recompute.py
浏览文件 @
161998f7
...
@@ -29,6 +29,7 @@ from paddle.distributed.auto_parallel.utils import (
...
@@ -29,6 +29,7 @@ from paddle.distributed.auto_parallel.utils import (
)
)
from
paddle.distributed.auto_parallel.utils
import
(
from
paddle.distributed.auto_parallel.utils
import
(
naive_set_dist_op_attr_for_program_by_mesh_and_mapping
,
naive_set_dist_op_attr_for_program_by_mesh_and_mapping
,
insert_dependencies_for_two_ops
,
)
)
...
@@ -449,6 +450,7 @@ class RecomputePass(PassBase):
...
@@ -449,6 +450,7 @@ class RecomputePass(PassBase):
while
idx
-
1
>=
0
and
ops
[
idx
-
1
].
type
==
"sum"
:
while
idx
-
1
>=
0
and
ops
[
idx
-
1
].
type
==
"sum"
:
idx
-=
1
idx
-=
1
segment_descs
=
ckpt_ops_dict
[
fwd_op_id
][
1
]
segment_descs
=
ckpt_ops_dict
[
fwd_op_id
][
1
]
rc_op
=
None
for
_
,
op_desc
in
reversed
(
list
(
enumerate
(
segment_descs
))):
for
_
,
op_desc
in
reversed
(
list
(
enumerate
(
segment_descs
))):
rc_op
=
main_block
.
_insert_op_without_sync
(
rc_op
=
main_block
.
_insert_op_without_sync
(
idx
,
type
=
'nop'
idx
,
type
=
'nop'
...
@@ -466,7 +468,15 @@ class RecomputePass(PassBase):
...
@@ -466,7 +468,15 @@ class RecomputePass(PassBase):
)
)
ckpt_ops_dict
[
fwd_op_id
][
0
]
=
False
ckpt_ops_dict
[
fwd_op_id
][
0
]
=
False
if
rc_op
:
insert_dependencies_for_two_ops
(
main_block
,
idx
,
main_block
.
ops
[
rc_op
.
idx
-
1
],
rc_op
,
self
.
_dist_context
,
sync
=
False
,
)
main_program
.
_sync_with_cpp
()
main_program
.
_sync_with_cpp
()
def
reset_op_dist_attr
(
self
,
op
,
var_name_dict
):
def
reset_op_dist_attr
(
self
,
op
,
var_name_dict
):
...
...
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