tff.learning.models.ModelWeights
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A container for the trainable and non-trainable variables of a Model
.
tff.learning.models.ModelWeights(
trainable, non_trainable
)
Used in the notebooks
Note this does not include the model's local variables.
It may also be used to hold other values that are parallel to these variables,
e.g., tensors corresponding to variable values, or updates to model variables.
Attributes |
trainable
|
A namedtuple alias for field number 0
|
non_trainable
|
A namedtuple alias for field number 1
|
Methods
assign_weights_to
View source
assign_weights_to(
model: Union[tff.learning.models.VariableModel
, tf.keras.Model]
) -> None
Assign these TFF model weights to the weights of a model.
convert_variables_to_arrays
View source
convert_variables_to_arrays() -> 'ModelWeights'
Converts any internal tf.Variable
s to numpy arrays.
from_model
View source
@classmethod
from_model(
model
)
from_tff_result
View source
@classmethod
from_tff_result(
struct
)
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Last updated 2024-09-20 UTC.
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