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38141036
编写于
11月 18, 2021
作者:
L
LielinJiang
提交者:
GitHub
11月 18, 2021
浏览文件
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电子邮件补丁
差异文件
polish unittest of test_pretrained_model (#37307)
* fix cache * Fix unittest
上级
a6e9ff85
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
59 addition
and
31 deletion
+59
-31
python/paddle/tests/test_model.py
python/paddle/tests/test_model.py
+48
-26
python/paddle/tests/test_pretrained_model.py
python/paddle/tests/test_pretrained_model.py
+11
-5
未找到文件。
python/paddle/tests/test_model.py
浏览文件 @
38141036
...
@@ -199,7 +199,9 @@ class TestModel(unittest.TestCase):
...
@@ -199,7 +199,9 @@ class TestModel(unittest.TestCase):
cls
.
inputs
=
[
InputSpec
([
-
1
,
1
,
28
,
28
],
'float32'
,
'image'
)]
cls
.
inputs
=
[
InputSpec
([
-
1
,
1
,
28
,
28
],
'float32'
,
'image'
)]
cls
.
labels
=
[
InputSpec
([
None
,
1
],
'int64'
,
'label'
)]
cls
.
labels
=
[
InputSpec
([
None
,
1
],
'int64'
,
'label'
)]
cls
.
save_dir
=
tempfile
.
mkdtemp
()
cls
.
save_dir
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_test_model'
)
if
not
os
.
path
.
exists
(
cls
.
save_dir
):
os
.
makedirs
(
cls
.
save_dir
)
cls
.
weight_path
=
os
.
path
.
join
(
cls
.
save_dir
,
'lenet'
)
cls
.
weight_path
=
os
.
path
.
join
(
cls
.
save_dir
,
'lenet'
)
fluid
.
dygraph
.
save_dygraph
(
dy_lenet
.
state_dict
(),
cls
.
weight_path
)
fluid
.
dygraph
.
save_dygraph
(
dy_lenet
.
state_dict
(),
cls
.
weight_path
)
...
@@ -505,7 +507,9 @@ class TestModelFunction(unittest.TestCase):
...
@@ -505,7 +507,9 @@ class TestModelFunction(unittest.TestCase):
fluid
.
disable_dygraph
()
if
dynamic
else
None
fluid
.
disable_dygraph
()
if
dynamic
else
None
def
test_save_load
(
self
):
def
test_save_load
(
self
):
path
=
tempfile
.
mkdtemp
()
path
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_test_save_load'
)
if
not
os
.
path
.
exists
(
path
):
os
.
makedirs
(
path
)
for
dynamic
in
[
True
,
False
]:
for
dynamic
in
[
True
,
False
]:
device
=
paddle
.
set_device
(
'cpu'
)
device
=
paddle
.
set_device
(
'cpu'
)
fluid
.
enable_dygraph
(
device
)
if
dynamic
else
None
fluid
.
enable_dygraph
(
device
)
if
dynamic
else
None
...
@@ -517,15 +521,19 @@ class TestModelFunction(unittest.TestCase):
...
@@ -517,15 +521,19 @@ class TestModelFunction(unittest.TestCase):
model
=
Model
(
net
,
inputs
,
labels
)
model
=
Model
(
net
,
inputs
,
labels
)
model
.
prepare
(
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
save
(
path
+
'/test'
)
model
.
save
(
path
)
model
.
load
(
path
+
'/test'
)
model
.
load
(
path
)
shutil
.
rmtree
(
path
)
fluid
.
disable_dygraph
()
if
dynamic
else
None
fluid
.
disable_dygraph
()
if
dynamic
else
None
shutil
.
rmtree
(
path
)
def
test_dynamic_load
(
self
):
def
test_dynamic_load
(
self
):
mnist_data
=
MnistDataset
(
mode
=
'train'
)
mnist_data
=
MnistDataset
(
mode
=
'train'
)
path
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_dynamic_load'
)
if
not
os
.
path
.
exists
(
path
):
os
.
makedirs
(
path
)
for
new_optimizer
in
[
True
,
False
]:
for
new_optimizer
in
[
True
,
False
]:
path
=
tempfile
.
mkdtemp
()
paddle
.
disable_static
()
paddle
.
disable_static
()
net
=
LeNet
()
net
=
LeNet
()
inputs
=
[
InputSpec
([
None
,
1
,
28
,
28
],
'float32'
,
'x'
)]
inputs
=
[
InputSpec
([
None
,
1
,
28
,
28
],
'float32'
,
'x'
)]
...
@@ -540,13 +548,16 @@ class TestModelFunction(unittest.TestCase):
...
@@ -540,13 +548,16 @@ class TestModelFunction(unittest.TestCase):
model
.
prepare
(
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
fit
(
mnist_data
,
batch_size
=
64
,
verbose
=
0
)
model
.
fit
(
mnist_data
,
batch_size
=
64
,
verbose
=
0
)
model
.
save
(
path
+
'/test'
)
model
.
save
(
path
)
model
.
load
(
path
+
'/test'
)
model
.
load
(
path
)
shutil
.
rmtree
(
path
)
paddle
.
enable_static
()
paddle
.
enable_static
()
shutil
.
rmtree
(
path
)
def
test_dynamic_save_static_load
(
self
):
def
test_dynamic_save_static_load
(
self
):
path
=
tempfile
.
mkdtemp
()
path
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_dynamic_save_static_load'
)
if
not
os
.
path
.
exists
(
path
):
os
.
makedirs
(
path
)
# dynamic saving
# dynamic saving
device
=
paddle
.
set_device
(
'cpu'
)
device
=
paddle
.
set_device
(
'cpu'
)
fluid
.
enable_dygraph
(
device
)
fluid
.
enable_dygraph
(
device
)
...
@@ -554,7 +565,7 @@ class TestModelFunction(unittest.TestCase):
...
@@ -554,7 +565,7 @@ class TestModelFunction(unittest.TestCase):
optim
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
0.001
,
optim
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
0.001
,
parameter_list
=
model
.
parameters
())
parameter_list
=
model
.
parameters
())
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
save
(
path
+
'/test'
)
model
.
save
(
path
)
fluid
.
disable_dygraph
()
fluid
.
disable_dygraph
()
inputs
=
[
InputSpec
([
None
,
20
],
'float32'
,
'x'
)]
inputs
=
[
InputSpec
([
None
,
20
],
'float32'
,
'x'
)]
...
@@ -563,12 +574,14 @@ class TestModelFunction(unittest.TestCase):
...
@@ -563,12 +574,14 @@ class TestModelFunction(unittest.TestCase):
optim
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
0.001
,
optim
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
0.001
,
parameter_list
=
model
.
parameters
())
parameter_list
=
model
.
parameters
())
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
load
(
path
+
'/test'
)
model
.
load
(
path
)
shutil
.
rmtree
(
path
)
shutil
.
rmtree
(
path
)
def
test_static_save_dynamic_load
(
self
):
def
test_static_save_dynamic_load
(
self
):
path
=
tempfile
.
mkdtemp
()
path
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_test_static_save_dynamic_load'
)
if
not
os
.
path
.
exists
(
path
):
os
.
makedirs
(
path
)
net
=
MyModel
()
net
=
MyModel
()
inputs
=
[
InputSpec
([
None
,
20
],
'float32'
,
'x'
)]
inputs
=
[
InputSpec
([
None
,
20
],
'float32'
,
'x'
)]
labels
=
[
InputSpec
([
None
,
1
],
'int64'
,
'label'
)]
labels
=
[
InputSpec
([
None
,
1
],
'int64'
,
'label'
)]
...
@@ -576,7 +589,7 @@ class TestModelFunction(unittest.TestCase):
...
@@ -576,7 +589,7 @@ class TestModelFunction(unittest.TestCase):
parameter_list
=
net
.
parameters
())
parameter_list
=
net
.
parameters
())
model
=
Model
(
net
,
inputs
,
labels
)
model
=
Model
(
net
,
inputs
,
labels
)
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
save
(
path
+
'/test'
)
model
.
save
(
path
)
device
=
paddle
.
set_device
(
'cpu'
)
device
=
paddle
.
set_device
(
'cpu'
)
fluid
.
enable_dygraph
(
device
)
#if dynamic else None
fluid
.
enable_dygraph
(
device
)
#if dynamic else None
...
@@ -588,7 +601,7 @@ class TestModelFunction(unittest.TestCase):
...
@@ -588,7 +601,7 @@ class TestModelFunction(unittest.TestCase):
parameter_list
=
net
.
parameters
())
parameter_list
=
net
.
parameters
())
model
=
Model
(
net
,
inputs
,
labels
)
model
=
Model
(
net
,
inputs
,
labels
)
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
prepare
(
optimizer
=
optim
,
loss
=
CrossEntropyLoss
(
reduction
=
"sum"
))
model
.
load
(
path
+
'/test'
)
model
.
load
(
path
)
shutil
.
rmtree
(
path
)
shutil
.
rmtree
(
path
)
fluid
.
disable_dygraph
()
fluid
.
disable_dygraph
()
...
@@ -722,6 +735,12 @@ class TestModelFunction(unittest.TestCase):
...
@@ -722,6 +735,12 @@ class TestModelFunction(unittest.TestCase):
def
test_export_deploy_model
(
self
):
def
test_export_deploy_model
(
self
):
self
.
set_seed
()
self
.
set_seed
()
np
.
random
.
seed
(
201
)
np
.
random
.
seed
(
201
)
save_dir
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_test_export_deploy_model'
)
if
not
os
.
path
.
exists
(
save_dir
):
os
.
makedirs
(
save_dir
)
for
dynamic
in
[
True
,
False
]:
for
dynamic
in
[
True
,
False
]:
paddle
.
disable_static
()
if
dynamic
else
None
paddle
.
disable_static
()
if
dynamic
else
None
prog_translator
=
ProgramTranslator
()
prog_translator
=
ProgramTranslator
()
...
@@ -730,9 +749,7 @@ class TestModelFunction(unittest.TestCase):
...
@@ -730,9 +749,7 @@ class TestModelFunction(unittest.TestCase):
inputs
=
[
InputSpec
([
None
,
1
,
28
,
28
],
'float32'
,
'x'
)]
inputs
=
[
InputSpec
([
None
,
1
,
28
,
28
],
'float32'
,
'x'
)]
model
=
Model
(
net
,
inputs
)
model
=
Model
(
net
,
inputs
)
model
.
prepare
()
model
.
prepare
()
save_dir
=
tempfile
.
mkdtemp
()
if
not
os
.
path
.
exists
(
save_dir
):
os
.
makedirs
(
save_dir
)
tensor_img
=
np
.
array
(
tensor_img
=
np
.
array
(
np
.
random
.
random
((
1
,
1
,
28
,
28
)),
dtype
=
np
.
float32
)
np
.
random
.
random
((
1
,
1
,
28
,
28
)),
dtype
=
np
.
float32
)
...
@@ -753,19 +770,22 @@ class TestModelFunction(unittest.TestCase):
...
@@ -753,19 +770,22 @@ class TestModelFunction(unittest.TestCase):
fetch_list
=
fetch_targets
)
fetch_list
=
fetch_targets
)
np
.
testing
.
assert_allclose
(
np
.
testing
.
assert_allclose
(
results
,
ori_results
,
rtol
=
1e-5
,
atol
=
1e-7
)
results
,
ori_results
,
rtol
=
1e-5
,
atol
=
1e-7
)
shutil
.
rmtree
(
save_dir
)
paddle
.
enable_static
()
paddle
.
enable_static
()
shutil
.
rmtree
(
save_dir
)
def
test_dygraph_export_deploy_model_about_inputs
(
self
):
def
test_dygraph_export_deploy_model_about_inputs
(
self
):
self
.
set_seed
()
self
.
set_seed
()
np
.
random
.
seed
(
201
)
np
.
random
.
seed
(
201
)
mnist_data
=
MnistDataset
(
mode
=
'train'
)
mnist_data
=
MnistDataset
(
mode
=
'train'
)
paddle
.
disable_static
()
paddle
.
disable_static
()
# without inputs
# without inputs
save_dir
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_test_dygraph_export_deploy'
)
if
not
os
.
path
.
exists
(
save_dir
):
os
.
makedirs
(
save_dir
)
for
initial
in
[
"fit"
,
"train_batch"
,
"eval_batch"
,
"predict_batch"
]:
for
initial
in
[
"fit"
,
"train_batch"
,
"eval_batch"
,
"predict_batch"
]:
save_dir
=
tempfile
.
mkdtemp
()
if
not
os
.
path
.
exists
(
save_dir
):
os
.
makedirs
(
save_dir
)
net
=
LeNet
()
net
=
LeNet
()
model
=
Model
(
net
)
model
=
Model
(
net
)
optim
=
fluid
.
optimizer
.
Adam
(
optim
=
fluid
.
optimizer
.
Adam
(
...
@@ -786,9 +806,10 @@ class TestModelFunction(unittest.TestCase):
...
@@ -786,9 +806,10 @@ class TestModelFunction(unittest.TestCase):
model
.
predict_batch
([
img
])
model
.
predict_batch
([
img
])
model
.
save
(
save_dir
,
training
=
False
)
model
.
save
(
save_dir
,
training
=
False
)
shutil
.
rmtree
(
save_dir
)
shutil
.
rmtree
(
save_dir
)
# with inputs, and the type of inputs is InputSpec
# with inputs, and the type of inputs is InputSpec
save_dir
=
tempfile
.
mkdtemp
()
save_dir
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_test_dygraph_export_deploy_2'
)
if
not
os
.
path
.
exists
(
save_dir
):
if
not
os
.
path
.
exists
(
save_dir
):
os
.
makedirs
(
save_dir
)
os
.
makedirs
(
save_dir
)
net
=
LeNet
()
net
=
LeNet
()
...
@@ -988,13 +1009,14 @@ class TestRaiseError(unittest.TestCase):
...
@@ -988,13 +1009,14 @@ class TestRaiseError(unittest.TestCase):
def
test_save_infer_model_without_inputs_and_run_in_dygraph
(
self
):
def
test_save_infer_model_without_inputs_and_run_in_dygraph
(
self
):
paddle
.
disable_static
()
paddle
.
disable_static
()
net
=
MyModel
()
net
=
MyModel
()
save_dir
=
tempfile
.
mkdtemp
(
)
save_dir
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_test_save_infer'
)
if
not
os
.
path
.
exists
(
save_dir
):
if
not
os
.
path
.
exists
(
save_dir
):
os
.
makedirs
(
save_dir
)
os
.
makedirs
(
save_dir
)
with
self
.
assertRaises
(
RuntimeError
):
with
self
.
assertRaises
(
RuntimeError
):
model
=
Model
(
net
)
model
=
Model
(
net
)
model
.
save
(
save_dir
,
training
=
False
)
model
.
save
(
save_dir
,
training
=
False
)
paddle
.
enable_static
()
paddle
.
enable_static
()
shutil
.
rmtree
(
save_dir
)
def
test_save_infer_model_without_file_prefix
(
self
):
def
test_save_infer_model_without_file_prefix
(
self
):
paddle
.
enable_static
()
paddle
.
enable_static
()
...
...
python/paddle/tests/test_pretrained_model.py
浏览文件 @
38141036
...
@@ -12,6 +12,7 @@
...
@@ -12,6 +12,7 @@
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
import
os
import
unittest
import
unittest
import
tempfile
import
tempfile
import
shutil
import
shutil
...
@@ -26,7 +27,9 @@ import paddle.vision.models as models
...
@@ -26,7 +27,9 @@ import paddle.vision.models as models
# when used pretrained model
# when used pretrained model
class
TestPretrainedModel
(
unittest
.
TestCase
):
class
TestPretrainedModel
(
unittest
.
TestCase
):
def
infer
(
self
,
arch
):
def
infer
(
self
,
arch
):
path
=
tempfile
.
mkdtemp
()
path
=
os
.
path
.
join
(
tempfile
.
mkdtemp
(),
'.cache_test_pretrained_model'
)
if
not
os
.
path
.
exists
(
path
):
os
.
makedirs
(
path
)
x
=
np
.
array
(
np
.
random
.
random
((
2
,
3
,
224
,
224
)),
dtype
=
np
.
float32
)
x
=
np
.
array
(
np
.
random
.
random
((
2
,
3
,
224
,
224
)),
dtype
=
np
.
float32
)
res
=
{}
res
=
{}
for
dygraph
in
[
True
,
False
]:
for
dygraph
in
[
True
,
False
]:
...
@@ -52,11 +55,14 @@ class TestPretrainedModel(unittest.TestCase):
...
@@ -52,11 +55,14 @@ class TestPretrainedModel(unittest.TestCase):
np
.
testing
.
assert_allclose
(
res
[
'dygraph'
],
res
[
'static'
])
np
.
testing
.
assert_allclose
(
res
[
'dygraph'
],
res
[
'static'
])
def
test_models
(
self
):
def
test_models
(
self
):
# TODO (LielinJiang): when model file cache is ok. add following test back
# 'resnet18', 'vgg16', 'alexnet', 'resnext50_32x4d', 'inception_v3',
# 'densenet121', 'googlenet', 'wide_resnet50_2', 'wide_resnet101_2'
arches
=
[
arches
=
[
'mobilenet_v1'
,
'mobilenet_v2'
,
'resnet18'
,
'vgg16'
,
'alexnet'
,
'mobilenet_v1'
,
'
resnext50_32x4d'
,
'inception_v3'
,
'densenet121'
,
'squeezenet1_0
'
,
'
mobilenet_v2
'
,
'squeezenet1_
1'
,
'googlenet'
,
'shufflenet_v2_x0_25
'
,
'squeezenet1_
0
'
,
'shufflenet_v2_
swish'
,
'wide_resnet50_2'
,
'wide_resnet101_2'
'shufflenet_v2_
x0_25'
,
]
]
for
arch
in
arches
:
for
arch
in
arches
:
self
.
infer
(
arch
)
self
.
infer
(
arch
)
...
...
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