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OpenDAS
vision
Commits
135a0f9e
Unverified
Commit
135a0f9e
authored
Feb 02, 2023
by
Nicolas Hug
Committed by
GitHub
Feb 02, 2023
Browse files
Make WeightEnum and Weights public + cleanups (#7100)
parent
cb8c4417
Changes
3
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3 changed files
with
23 additions
and
17 deletions
+23
-17
test/test_extended_models.py
test/test_extended_models.py
+1
-1
torchvision/models/__init__.py
torchvision/models/__init__.py
+6
-1
torchvision/models/_api.py
torchvision/models/_api.py
+16
-15
No files found.
test/test_extended_models.py
View file @
135a0f9e
...
@@ -7,7 +7,7 @@ import test_models as TM
...
@@ -7,7 +7,7 @@ import test_models as TM
import
torch
import
torch
from
common_extended_utils
import
get_file_size_mb
,
get_ops
from
common_extended_utils
import
get_file_size_mb
,
get_ops
from
torchvision
import
models
from
torchvision
import
models
from
torchvision.models
._api
import
get_model_weights
,
Weights
,
WeightsEnum
from
torchvision.models
import
get_model_weights
,
Weights
,
WeightsEnum
from
torchvision.models._utils
import
handle_legacy_interface
from
torchvision.models._utils
import
handle_legacy_interface
run_if_test_with_extended
=
pytest
.
mark
.
skipif
(
run_if_test_with_extended
=
pytest
.
mark
.
skipif
(
...
...
torchvision/models/__init__.py
View file @
135a0f9e
...
@@ -15,4 +15,9 @@ from .vision_transformer import *
...
@@ -15,4 +15,9 @@ from .vision_transformer import *
from
.swin_transformer
import
*
from
.swin_transformer
import
*
from
.maxvit
import
*
from
.maxvit
import
*
from
.
import
detection
,
optical_flow
,
quantization
,
segmentation
,
video
from
.
import
detection
,
optical_flow
,
quantization
,
segmentation
,
video
from
._api
import
get_model
,
get_model_builder
,
get_model_weights
,
get_weight
,
list_models
# The Weights and WeightsEnum are developer-facing utils that we make public for
# downstream libs like torchgeo https://github.com/pytorch/vision/issues/7094
# TODO: we could / should document them publicly, but it's not clear where, as
# they're not intended for end users.
from
._api
import
get_model
,
get_model_builder
,
get_model_weights
,
get_weight
,
list_models
,
Weights
,
WeightsEnum
torchvision/models/_api.py
View file @
135a0f9e
import
importlib
import
importlib
import
inspect
import
inspect
import
sys
import
sys
from
dataclasses
import
dataclass
,
fields
from
dataclasses
import
dataclass
from
enum
import
Enum
from
functools
import
partial
from
functools
import
partial
from
inspect
import
signature
from
inspect
import
signature
from
types
import
ModuleType
from
types
import
ModuleType
...
@@ -9,8 +10,6 @@ from typing import Any, Callable, cast, Dict, List, Mapping, Optional, TypeVar,
...
@@ -9,8 +10,6 @@ from typing import Any, Callable, cast, Dict, List, Mapping, Optional, TypeVar,
from
torch
import
nn
from
torch
import
nn
from
torchvision._utils
import
StrEnum
from
.._internally_replaced_utils
import
load_state_dict_from_url
from
.._internally_replaced_utils
import
load_state_dict_from_url
...
@@ -65,7 +64,7 @@ class Weights:
...
@@ -65,7 +64,7 @@ class Weights:
return
self
.
transforms
==
other
.
transforms
return
self
.
transforms
==
other
.
transforms
class
WeightsEnum
(
Str
Enum
):
class
WeightsEnum
(
Enum
):
"""
"""
This class is the parent class of all model weights. Each model building method receives an optional `weights`
This class is the parent class of all model weights. Each model building method receives an optional `weights`
parameter with its associated pre-trained weights. It inherits from `Enum` and its values should be of type
parameter with its associated pre-trained weights. It inherits from `Enum` and its values should be of type
...
@@ -75,14 +74,11 @@ class WeightsEnum(StrEnum):
...
@@ -75,14 +74,11 @@ class WeightsEnum(StrEnum):
value (Weights): The data class entry with the weight information.
value (Weights): The data class entry with the weight information.
"""
"""
def
__init__
(
self
,
value
:
Weights
):
self
.
_value_
=
value
@
classmethod
@
classmethod
def
verify
(
cls
,
obj
:
Any
)
->
Any
:
def
verify
(
cls
,
obj
:
Any
)
->
Any
:
if
obj
is
not
None
:
if
obj
is
not
None
:
if
type
(
obj
)
is
str
:
if
type
(
obj
)
is
str
:
obj
=
cls
.
from_str
(
obj
.
replace
(
cls
.
__name__
+
"."
,
""
)
)
obj
=
cls
[
obj
.
replace
(
cls
.
__name__
+
"."
,
""
)
]
elif
not
isinstance
(
obj
,
cls
):
elif
not
isinstance
(
obj
,
cls
):
raise
TypeError
(
raise
TypeError
(
f
"Invalid Weight class provided; expected
{
cls
.
__name__
}
but received
{
obj
.
__class__
.
__name__
}
."
f
"Invalid Weight class provided; expected
{
cls
.
__name__
}
but received
{
obj
.
__class__
.
__name__
}
."
...
@@ -95,12 +91,17 @@ class WeightsEnum(StrEnum):
...
@@ -95,12 +91,17 @@ class WeightsEnum(StrEnum):
def
__repr__
(
self
)
->
str
:
def
__repr__
(
self
)
->
str
:
return
f
"
{
self
.
__class__
.
__name__
}
.
{
self
.
_name_
}
"
return
f
"
{
self
.
__class__
.
__name__
}
.
{
self
.
_name_
}
"
def
__getattr__
(
self
,
name
):
@
property
# Be able to fetch Weights attributes directly
def
url
(
self
):
for
f
in
fields
(
Weights
):
return
self
.
value
.
url
if
f
.
name
==
name
:
return
object
.
__getattribute__
(
self
.
value
,
name
)
@
property
return
super
().
__getattr__
(
name
)
def
transforms
(
self
):
return
self
.
value
.
transforms
@
property
def
meta
(
self
):
return
self
.
value
.
meta
def
get_weight
(
name
:
str
)
->
WeightsEnum
:
def
get_weight
(
name
:
str
)
->
WeightsEnum
:
...
@@ -134,7 +135,7 @@ def get_weight(name: str) -> WeightsEnum:
...
@@ -134,7 +135,7 @@ def get_weight(name: str) -> WeightsEnum:
if
weights_enum
is
None
:
if
weights_enum
is
None
:
raise
ValueError
(
f
"The weight enum '
{
enum_name
}
' for the specific method couldn't be retrieved."
)
raise
ValueError
(
f
"The weight enum '
{
enum_name
}
' for the specific method couldn't be retrieved."
)
return
weights_enum
.
from_str
(
value_name
)
return
weights_enum
[
value_name
]
def
get_model_weights
(
name
:
Union
[
Callable
,
str
])
->
WeightsEnum
:
def
get_model_weights
(
name
:
Union
[
Callable
,
str
])
->
WeightsEnum
:
...
...
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