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Configuration for backbones.
Inherits From: OneOfConfig
, Config
, ParamsDict
tfm.vision.configs.backbones.Backbone(
default_params: dataclasses.InitVar[Optional[Mapping[str, Any]]] = None,
restrictions: dataclasses.InitVar[Optional[List[str]]] = None,
type: Optional[str] = None,
resnet: tfm.vision.configs.backbones.ResNet
= ResNet()
,
dilated_resnet: tfm.vision.configs.backbones.DilatedResNet
= DilatedResNet()
,
revnet: tfm.vision.configs.backbones.RevNet
= RevNet()
,
efficientnet: tfm.vision.configs.backbones.EfficientNet
= EfficientNet()
,
spinenet: tfm.vision.configs.backbones.SpineNet
= SpineNet()
,
spinenet_mobile: tfm.vision.configs.backbones.SpineNetMobile
= SpineNetMobile()
,
mobilenet: tfm.vision.configs.backbones.MobileNet
= MobileNet()
,
mobiledet: tfm.vision.configs.backbones.MobileDet
= MobileDet()
,
vit: tfm.vision.configs.backbones.VisionTransformer
= VisionTransformer()
)
Methods
as_dict
as_dict()
Returns a dict representation of OneOfConfig.
For the nested base_config.Config, a nested dict will be returned.
from_args
@classmethod
from_args( *args, **kwargs )
Builds a config from the given list of arguments.
from_json
@classmethod
from_json( file_path: str )
Wrapper for from_yaml
.
from_yaml
@classmethod
from_yaml( file_path: str )
get
get()
Returns selected config based on the value of type.
If type is not set (None), None is returned.
lock
lock()
Makes the ParamsDict immutable.
override
override(
override_params, is_strict=True
)
Override the ParamsDict with a set of given params.
Args | |
---|---|
override_params
|
a dict or a ParamsDict specifying the parameters to be overridden. |
is_strict
|
a boolean specifying whether override is strict or not. If
True, keys in override_params must be present in the ParamsDict. If
False, keys in override_params can be different from what is currently
defined in the ParamsDict. In this case, the ParamsDict will be extended
to include the new keys.
|
replace
replace(
**kwargs
)
Overrides/returns a unlocked copy with the current config unchanged.
validate
validate()
Validate the parameters consistency based on the restrictions.
This method validates the internal consistency using the pre-defined list of restrictions. A restriction is defined as a string which specfiies a binary operation. The supported binary operations are {'==', '!=', '<', '<=', '>', '>='}. Note that the meaning of these operators are consistent with the underlying Python immplementation. Users should make sure the define restrictions on their type make sense.
For example, for a ParamsDict like the following
a:
a1: 1
a2: 2
b:
bb:
bb1: 10
bb2: 20
ccc:
a1: 1
a3: 3
one can define two restrictions like this ['a.a1 == b.ccc.a1', 'a.a2 <= b.bb.bb2']
What it enforces are | |
---|---|
|
Raises | |
---|---|
KeyError
|
if any of the following happens (1) any of parameters in any of restrictions is not defined in ParamsDict, (2) any inconsistency violating the restriction is found. |
ValueError
|
if the restriction defined in the string is not supported. |
__contains__
__contains__(
key
)
Implements the membership test operator.
__eq__
__eq__(
other
)
Class Variables | |
---|---|
IMMUTABLE_TYPES |
(<class 'str'>,
<class 'int'>,
<class 'float'>,
<class 'bool'>,
<class 'NoneType'>)
|
RESERVED_ATTR |
['_locked', '_restrictions']
|
SEQUENCE_TYPES |
(<class 'list'>, <class 'tuple'>)
|
default_params |
None
|
dilated_resnet |
Instance of tfm.vision.configs.backbones.DilatedResNet
|
efficientnet |
Instance of tfm.vision.configs.backbones.EfficientNet
|
mobiledet |
Instance of tfm.vision.configs.backbones.MobileDet
|
mobilenet |
Instance of tfm.vision.configs.backbones.MobileNet
|
resnet |
Instance of tfm.vision.configs.backbones.ResNet
|
restrictions |
None
|
revnet |
Instance of tfm.vision.configs.backbones.RevNet
|
spinenet |
Instance of tfm.vision.configs.backbones.SpineNet
|
spinenet_mobile |
Instance of tfm.vision.configs.backbones.SpineNetMobile
|
type |
None
|
vit |
Instance of tfm.vision.configs.backbones.VisionTransformer
|