Qualia-Core
APIs
qualia_core package
Subpackages
qualia_core.assets package
qualia_core.command package
qualia_core.dataaugmentation package
qualia_core.datamodel package
qualia_core.dataset package
qualia_core.deployment package
qualia_core.evaluation package
qualia_core.experimenttracking package
qualia_core.learningframework package
qualia_core.learningmodel package
qualia_core.postprocessing package
Submodules
qualia_core.postprocessing.Converter module
qualia_core.postprocessing.Distribution module
qualia_core.postprocessing.FuseBatchNorm module
qualia_core.postprocessing.Keras2TFLite module
qualia_core.postprocessing.PostProcessing module
qualia_core.postprocessing.QualiaCodeGen module
qualia_core.postprocessing.QuantizationAwareTraining module
qualia_core.postprocessing.QuantizationAwareTrainingFX module
qualia_core.postprocessing.RemoveKerasSoftmax module
qualia_core.postprocessing.Torch2Keras module
qualia_core.postprocessing.VisualizeFeatureMaps module
Module contents
qualia_core.preprocessing package
qualia_core.utils package
Submodules
Module contents
Qualia-Core
qualia_core package
qualia_core.postprocessing package
qualia_core.postprocessing.Converter module
View page source
qualia_core.postprocessing.Converter module
class
qualia_core.postprocessing.Converter.
Converter
[source]
Bases:
ABC
,
Generic
[
T
]
deployers
:
ModuleType
|
None
abstract
convert
(
framework
:
LearningFramework
[
nn.Module
|
keras.Model
]
,
model
:
nn.Module
|
keras.Model
,
model_name
:
str
,
representative_dataset
:
numpy.typing.NDArray
[
Any
]
)
→
Converter
[
T
]
|
None
[source]
process_mem_params
(
mem_params
:
int
)
→
Callable
[
[
LearningFramework
[
T
]
,
T
]
,
int
]
[source]