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2301_77200941
mindspore
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fc6eee3b
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fc6eee3b
编写于
8月 24, 2020
作者:
M
mindspore-ci-bot
提交者:
Gitee
8月 24, 2020
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差异文件
!5019 raise RuntimeError when set different mode after Initializer created
Merge pull request !5019 from yihuaijie/dev
上级
287a2344
394be434
变更
17
显示空白变更内容
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并排
Showing
17 changed file
with
28 addition
and
65 deletion
+28
-65
mindspore/ccsrc/frontend/parallel/context.cc
mindspore/ccsrc/frontend/parallel/context.cc
+0
-2
mindspore/ccsrc/frontend/parallel/context.h
mindspore/ccsrc/frontend/parallel/context.h
+0
-4
mindspore/ccsrc/pipeline/jit/init.cc
mindspore/ccsrc/pipeline/jit/init.cc
+0
-2
mindspore/common/api.py
mindspore/common/api.py
+1
-2
mindspore/common/initializer.py
mindspore/common/initializer.py
+0
-2
mindspore/common/parameter.py
mindspore/common/parameter.py
+11
-0
mindspore/context.py
mindspore/context.py
+1
-2
mindspore/parallel/_auto_parallel_context.py
mindspore/parallel/_auto_parallel_context.py
+0
-20
mindspore/parallel/_utils.py
mindspore/parallel/_utils.py
+0
-13
tests/ut/python/communication/test_data_parallel_lenet.py
tests/ut/python/communication/test_data_parallel_lenet.py
+0
-2
tests/ut/python/nn/test_parameter.py
tests/ut/python/nn/test_parameter.py
+0
-2
tests/ut/python/parallel/test_add_relu_redistribution.py
tests/ut/python/parallel/test_add_relu_redistribution.py
+0
-3
tests/ut/python/parallel/test_allreduce_fusion.py
tests/ut/python/parallel/test_allreduce_fusion.py
+0
-2
tests/ut/python/parallel/test_alltoall.py
tests/ut/python/parallel/test_alltoall.py
+1
-2
tests/ut/python/parallel/test_arithmetic.py
tests/ut/python/parallel/test_arithmetic.py
+0
-2
tests/ut/python/parallel/test_initializer_weight_slice.py
tests/ut/python/parallel/test_initializer_weight_slice.py
+14
-2
tests/ut/python/parallel/test_using_seed_for_initializer.py
tests/ut/python/parallel/test_using_seed_for_initializer.py
+0
-3
未找到文件。
mindspore/ccsrc/frontend/parallel/context.cc
浏览文件 @
fc6eee3b
...
...
@@ -81,8 +81,6 @@ void ParallelContext::set_mirror_mean(bool mirror_mean) { mirror_mean_ = mirror_
void
ParallelContext
::
set_full_batch
(
bool
full_batch
)
{
full_batch_
=
full_batch
;
}
void
ParallelContext
::
set_has_initializer
(
bool
has_initializer
)
{
has_initializer_
=
has_initializer
;
}
void
ParallelContext
::
set_cast_before_mirror
(
bool
cast_before_mirror
)
{
cast_before_mirror_
=
cast_before_mirror
;
}
void
ParallelContext
::
set_loss_repeated_mean
(
bool
loss_repeated_mean
)
{
loss_repeated_mean_
=
loss_repeated_mean
;
}
...
...
mindspore/ccsrc/frontend/parallel/context.h
浏览文件 @
fc6eee3b
...
...
@@ -58,9 +58,6 @@ class ParallelContext {
void
set_full_batch
(
bool
full_batch
);
bool
full_batch
()
const
{
return
full_batch_
;
}
void
set_has_initializer
(
bool
has_initializer
);
bool
has_initializer
()
const
{
return
has_initializer_
;
}
void
set_cast_before_mirror
(
bool
cast_before_mirror
);
bool
cast_before_mirror
()
const
{
return
cast_before_mirror_
;
}
...
...
@@ -115,7 +112,6 @@ class ParallelContext {
static
std
::
shared_ptr
<
ParallelContext
>
inst_context_
;
bool
mirror_mean_
;
bool
full_batch_
;
bool
has_initializer_
=
false
;
bool
cast_before_mirror_
;
bool
loss_repeated_mean_
;
int32_t
device_num_
;
...
...
mindspore/ccsrc/pipeline/jit/init.cc
浏览文件 @
fc6eee3b
...
...
@@ -198,8 +198,6 @@ PYBIND11_MODULE(_c_expression, m) {
.
def
(
"get_strategy_ckpt_save_file"
,
&
ParallelContext
::
strategy_ckpt_save_file
,
"Get strategy checkpoint save file."
)
.
def
(
"set_full_batch"
,
&
ParallelContext
::
set_full_batch
,
"Set whether load full batch on each device."
)
.
def
(
"get_full_batch"
,
&
ParallelContext
::
full_batch
,
"Get whether load full batch on each device."
)
.
def
(
"set_has_initializer"
,
&
ParallelContext
::
set_has_initializer
,
"Set whether any Initializer has been created."
)
.
def
(
"get_has_initializer"
,
&
ParallelContext
::
has_initializer
,
"Get whether any Initializer has been created."
)
.
def
(
"set_enable_parallel_optimizer"
,
&
ParallelContext
::
set_enable_parallel_optimizer
,
"Set enable/disable parallel optimizer."
)
.
def
(
"get_enable_parallel_optimizer"
,
&
ParallelContext
::
enable_parallel_optimizer
,
...
...
mindspore/common/api.py
浏览文件 @
fc6eee3b
...
...
@@ -24,7 +24,7 @@ from mindspore import log as logger
from
.._c_expression
import
generate_key
,
Executor_
,
Tensor
,
MetaTensor
,
PynativeExecutor_
from
.._c_expression
import
verify_inputs_signature
,
init_exec_dataset
,
_set_dataset_mode_config
,
init_backend
from
.tensor
import
Tensor
as
MsTensor
from
..parallel._utils
import
_get_device_num
,
_get_global_rank
,
_need_to_full
,
_to_full_tensor
,
_set_has_initializer
from
..parallel._utils
import
_get_device_num
,
_get_global_rank
,
_need_to_full
,
_to_full_tensor
# store ms_function class compiled pipeline cache
ms_compile_cache
=
{}
...
...
@@ -383,7 +383,6 @@ class _Executor:
Str, the full phase of the cell.
Bool, if the graph has been compiled before, return False, else return True.
"""
_set_has_initializer
(
False
)
obj
.
check_names
()
args_names
,
args_list
=
_generate_pip_args
(
obj
,
*
args
)
dic
=
dict
(
zip
(
args_names
,
args_list
))
...
...
mindspore/common/initializer.py
浏览文件 @
fc6eee3b
...
...
@@ -24,7 +24,6 @@ from mindspore import log as logger
from
.
import
dtype
as
mstype
from
.tensor
import
Tensor
from
.._c_expression
import
random_normal
from
..parallel._utils
import
_set_has_initializer
_INITIALIZER_ALIAS
=
dict
()
...
...
@@ -43,7 +42,6 @@ class Initializer:
self
.
_kwargs
=
kwargs
self
.
shape
=
None
self
.
dtype
=
None
_set_has_initializer
(
True
)
def
_initialize
(
self
,
*
kwargs
):
raise
NotImplementedError
(
'Must be overridden!'
)
...
...
mindspore/common/parameter.py
浏览文件 @
fc6eee3b
...
...
@@ -90,6 +90,9 @@ class Parameter(MetaTensor):
input_class
.
__init__
(
obj
,
*
class_init_args
)
# it's better to make the Initializer a kind of metatensor.
obj
.
init_mode
=
None
obj
.
is_default_input_initializer
=
False
if
isinstance
(
default_input
,
Initializer
):
obj
.
is_default_input_initializer
=
True
if
not
isinstance
(
obj
,
Tensor
):
obj
.
init_mode
=
default_input
return
obj
...
...
@@ -118,6 +121,7 @@ class Parameter(MetaTensor):
self
.
is_param_ps
=
False
self
.
_cast_type
=
None
self
.
init_in_server
=
False
self
.
is_in_parallel
=
_is_in_parallel_mode
()
@
staticmethod
def
_get_base_class
(
input_class
):
...
...
@@ -372,10 +376,17 @@ class Parameter(MetaTensor):
set_sliced (bool): True if the parameter is set sliced after initializing the data.
Default: False.
Raises:
RuntimeError: If it is from Initializer, and parallel mode has changed after the Initializer created.
Returns:
Parameter, the `Parameter` after initializing data. If current `Parameter` was already initialized before,
returns the same initialized `Parameter`.
"""
if
self
.
is_default_input_initializer
:
is_current_in_parallel
=
_is_in_parallel_mode
()
if
self
.
is_in_parallel
!=
is_current_in_parallel
:
raise
RuntimeError
(
"Must set or change parallel mode before any Initializer created."
)
if
self
.
init_mode
is
None
:
return
self
if
layout
is
not
None
:
...
...
mindspore/context.py
浏览文件 @
fc6eee3b
...
...
@@ -449,7 +449,7 @@ def set_auto_parallel_context(**kwargs):
next task, interface mindspore.context.reset_auto_parallel_context() needs to be called to reset
the configuration.
Setting or changing parallel modes must be called before any Initializer created, or RuntimeError
will be raised
.
may be raised when compile network
.
Args:
device_num (int): Available device number, the value must be in [1, 4096]. Default: 1.
...
...
@@ -491,7 +491,6 @@ def set_auto_parallel_context(**kwargs):
Raises:
ValueError: If input key is not attribute in auto parallel context.
RuntimeError: If there is any Initializer created before setting or changing parallel_mode.
Examples:
>>> context.set_auto_parallel_context(device_num=8)
...
...
mindspore/parallel/_auto_parallel_context.py
浏览文件 @
fc6eee3b
...
...
@@ -176,12 +176,8 @@ class _AutoParallelContext:
Raises:
ValueError: If parallel mode is not supported.
RuntimeError: If there is any Initializer created before setting or changing parallel_mode.
"""
self
.
check_context_handle
()
if
self
.
get_has_initializer
():
self
.
set_has_initializer
(
False
)
raise
RuntimeError
(
"Must set or change parallel mode before any Initializer created."
)
ret
=
self
.
_context_handle
.
set_parallel_mode
(
parallel_mode
)
if
ret
is
False
:
raise
ValueError
(
"Parallel mode does not support {}"
.
format
(
parallel_mode
))
...
...
@@ -253,21 +249,6 @@ class _AutoParallelContext:
self
.
check_context_handle
()
return
self
.
_context_handle
.
get_full_batch
()
def
set_has_initializer
(
self
,
has_initializer
):
"""
Set whether any Initializer has been created.
Args:
has_initializer (bool): True if a Initializer created.
"""
self
.
check_context_handle
()
self
.
_context_handle
.
set_has_initializer
(
has_initializer
)
def
get_has_initializer
(
self
):
"""Get whether any Initializer has been created."""
self
.
check_context_handle
()
return
self
.
_context_handle
.
get_has_initializer
()
def
set_strategy_ckpt_save_file
(
self
,
strategy_ckpt_save_file
):
"""
Set strategy checkpoint save path.
...
...
@@ -562,7 +543,6 @@ def _set_auto_parallel_context(**kwargs):
Raises:
ValueError: If input key is not attribute in auto parallel context.
RuntimeError: If there is any Initializer created before setting or changing parallel_mode.
"""
for
key
,
value
in
kwargs
.
items
():
if
key
not
in
_set_auto_parallel_context_func_map
:
...
...
mindspore/parallel/_utils.py
浏览文件 @
fc6eee3b
...
...
@@ -32,19 +32,6 @@ def _get_full_batch():
"""Get whether to use full_batch."""
return
auto_parallel_context
().
get_full_batch
()
def
_get_has_initializer
():
"""Get whether any Initializer has been created."""
return
auto_parallel_context
().
get_has_initializer
()
def
_set_has_initializer
(
has_initializer
):
"""
Set whether any Initializer has been created.
Args:
has_initializer (bool): True if a Initializer created.
"""
auto_parallel_context
().
set_has_initializer
(
has_initializer
)
def
_need_to_full
():
"""Check whether to convert input to full shape or tensor."""
...
...
tests/ut/python/communication/test_data_parallel_lenet.py
浏览文件 @
fc6eee3b
...
...
@@ -24,7 +24,6 @@ import mindspore.nn as nn
from
mindspore
import
Tensor
,
Model
,
ParallelMode
from
mindspore.nn.optim
import
Momentum
from
mindspore.ops
import
operations
as
P
from
mindspore.parallel._utils
import
_set_has_initializer
_current_dir
=
os
.
path
.
dirname
(
os
.
path
.
realpath
(
__file__
))
+
"/../test_data"
...
...
@@ -90,4 +89,3 @@ def test_lenet5_train_step_training_pynative():
Model
(
network
=
network
,
loss_fn
=
loss_fn
,
optimizer
=
optimizer
)
context
.
set_context
(
mode
=
context
.
GRAPH_MODE
)
context
.
reset_auto_parallel_context
()
_set_has_initializer
(
False
)
tests/ut/python/nn/test_parameter.py
浏览文件 @
fc6eee3b
...
...
@@ -21,7 +21,6 @@ from mindspore import context, Tensor, Parameter, ParameterTuple
from
mindspore._checkparam
import
_check_str_by_regular
from
mindspore.common
import
dtype
as
mstype
from
mindspore.common.initializer
import
initializer
from
mindspore.parallel._utils
import
_set_has_initializer
def
test_parameter_init
():
dat
=
np
.
array
([[
1
,
2
,
3
],
[
2
,
3
,
4
]])
...
...
@@ -191,7 +190,6 @@ def test_scalar_parameter_update():
def
test_parameter_lazy_init
():
_set_has_initializer
(
False
)
# support lazy init in SEMI_AUTO_PARALLEL mode
context
.
reset_auto_parallel_context
()
context
.
set_auto_parallel_context
(
parallel_mode
=
"semi_auto_parallel"
,
device_num
=
8
)
...
...
tests/ut/python/parallel/test_add_relu_redistribution.py
浏览文件 @
fc6eee3b
...
...
@@ -20,7 +20,6 @@ from mindspore import context
from
mindspore.common.api
import
_executor
from
mindspore.ops
import
composite
as
C
from
mindspore.ops
import
operations
as
P
from
mindspore.parallel._utils
import
_set_has_initializer
from
tests.ut.python.ops.test_math_ops
import
VirtualLoss
...
...
@@ -61,7 +60,6 @@ def compile_net(net, x, y):
def
test_add_relu_stride_slice
():
_set_has_initializer
(
False
)
context
.
set_auto_parallel_context
(
device_num
=
8
,
global_rank
=
7
)
context
.
set_auto_parallel_context
(
parallel_mode
=
"semi_auto_parallel"
)
...
...
@@ -75,7 +73,6 @@ def test_add_relu_stride_slice():
def
test_add_relu_all_gather
():
_set_has_initializer
(
False
)
context
.
set_auto_parallel_context
(
device_num
=
8
,
global_rank
=
7
)
context
.
set_auto_parallel_context
(
parallel_mode
=
"semi_auto_parallel"
)
...
...
tests/ut/python/parallel/test_allreduce_fusion.py
浏览文件 @
fc6eee3b
...
...
@@ -23,7 +23,6 @@ from mindspore.nn.optim.momentum import Momentum
from
mindspore.parallel
import
_cost_model_context
as
cost_model_context
from
mindspore.parallel._auto_parallel_context
import
auto_parallel_context
from
mindspore.train
import
Model
,
ParallelMode
from
mindspore.parallel._utils
import
_set_has_initializer
from
tests.dataset_mock
import
MindData
...
...
@@ -182,7 +181,6 @@ def test_allreduce_fusion_parameters():
def
test_allreduce_fusion1
():
_set_has_initializer
(
False
)
cost_model_context
.
set_cost_model_context
(
costmodel_allreduce_fusion_algorithm
=
1
)
cost_model_context
.
set_cost_model_context
(
costmodel_allreduce_fusion_times
=
2
)
cost_model_context
.
set_cost_model_context
(
costmodel_allreduce_fusion_tail_percent
=
0.5
)
...
...
tests/ut/python/parallel/test_alltoall.py
浏览文件 @
fc6eee3b
...
...
@@ -23,7 +23,7 @@ from mindspore.common.parameter import Parameter
from
mindspore.nn.loss
import
SoftmaxCrossEntropyWithLogits
from
mindspore.nn.optim.momentum
import
Momentum
from
mindspore.ops
import
operations
as
P
from
mindspore.parallel._utils
import
_reset_op_id
,
_set_has_initializer
from
mindspore.parallel._utils
import
_reset_op_id
from
mindspore.train
import
Model
,
ParallelMode
from
tests.dataset_mock
import
MindData
...
...
@@ -90,7 +90,6 @@ def all_to_all_common(strategy1):
def
test_all_to_all
():
_set_has_initializer
(
False
)
strategy1
=
((
8
,
1
),)
context
.
set_context
(
mode
=
context
.
GRAPH_MODE
,
save_graphs
=
False
)
_reset_op_id
()
...
...
tests/ut/python/parallel/test_arithmetic.py
浏览文件 @
fc6eee3b
...
...
@@ -20,7 +20,6 @@ from mindspore import Parameter, Tensor, context
from
mindspore.common.api
import
_executor
from
mindspore.ops
import
composite
as
C
from
mindspore.ops
import
operations
as
P
from
mindspore.parallel._utils
import
_set_has_initializer
from
tests.ut.python.ops.test_math_ops
import
VirtualLoss
...
...
@@ -61,7 +60,6 @@ def test_matmul_sub():
out
=
self
.
sub
(
out
,
b
)
return
out
_set_has_initializer
(
False
)
context
.
set_auto_parallel_context
(
device_num
=
8
,
global_rank
=
0
)
context
.
set_auto_parallel_context
(
parallel_mode
=
"semi_auto_parallel"
)
strategy1
=
((
2
,
2
),
(
2
,
2
))
...
...
tests/ut/python/parallel/test_initializer_weight_slice.py
浏览文件 @
fc6eee3b
...
...
@@ -84,8 +84,20 @@ def test_wrong_order_set_parallel_mode_with_initializer():
net
=
Net
(
strategy1
,
strategy2
,
weight
)
exe
=
me
.
_executor
x
=
Tensor
(
np
.
ones
([
32
,
32
]),
dtype
=
ms
.
float32
)
context
.
set_auto_parallel_context
(
parallel_mode
=
"semi_auto_parallel"
,
device_num
=
8
,
global_rank
=
0
)
net
.
set_auto_parallel
()
with
pytest
.
raises
(
RuntimeError
):
exe
.
compile
(
net
,
x
,
auto_parallel_mode
=
True
,
phase
=
'train'
)
def
test_wrong_order_set_same_parallel_mode_with_initializer
():
context
.
set_auto_parallel_context
(
parallel_mode
=
"semi_auto_parallel"
,
device_num
=
8
,
global_rank
=
0
)
weight
=
initializer
(
"Normal"
,
[
64
,
32
],
ms
.
float32
)
strategy1
=
((
2
,
1
),
(
4
,
1
))
strategy2
=
((
2
,
4
),)
net
=
Net
(
strategy1
,
strategy2
,
weight
)
exe
=
me
.
_executor
x
=
Tensor
(
np
.
ones
([
32
,
32
]),
dtype
=
ms
.
float32
)
context
.
set_auto_parallel_context
(
parallel_mode
=
"auto_parallel"
,
device_num
=
8
,
global_rank
=
0
)
net
.
set_auto_parallel
()
exe
.
compile
(
net
,
x
,
auto_parallel_mode
=
True
,
phase
=
'train'
)
...
...
tests/ut/python/parallel/test_using_seed_for_initializer.py
浏览文件 @
fc6eee3b
...
...
@@ -18,7 +18,6 @@ from numpy import allclose
import
mindspore.common.initializer
as
init
import
mindspore.nn
as
nn
from
mindspore
import
Parameter
from
mindspore.parallel._utils
import
_set_has_initializer
parameter_shape
=
[
16
,
4
]
...
...
@@ -47,7 +46,6 @@ def test_using_same_seed_for_initializer():
np
.
random
.
seed
(
0
)
net2
=
ParameterNet
()
net2
.
init_parameters_data
()
_set_has_initializer
(
False
)
for
key
in
net1
.
parameters_dict
():
if
key
not
in
net2
.
parameters_dict
():
assert
False
...
...
@@ -62,7 +60,6 @@ def test_using_diffserent_seed_for_initializer():
np
.
random
.
seed
(
1
)
net2
=
ParameterNet
()
net2
.
init_parameters_data
()
_set_has_initializer
(
False
)
for
key
in
net1
.
parameters_dict
():
if
key
not
in
net2
.
parameters_dict
():
assert
False
...
...
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