tfr.keras.model.TypeSpecInputCreator
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InputCreator with tensor type specs.
Inherits From: InputCreator
tfr.keras.model.TypeSpecInputCreator(
type_spec: Dict[str, Union[tf.TensorSpec, tf.RaggedTensorSpec]],
context_feature_names: Optional[List[str]] = None,
example_feature_names: Optional[List[str]] = None
)
Example usage:
input_creator=TypeSpecInputCreator(
{"example_feature_1": tf.TensorSpec(shape=[None, 1], dtype=tf.float32)},
example_feature_names=["example_feature_1"])
Args |
type_spec
|
A dict maps the context and example feature keys to the
corresponding context and example type specs.
|
context_feature_names
|
A list of context feature keys.
|
example_feature_names
|
A list of example feature keys.
|
Methods
__call__
View source
__call__() -> Tuple[tfr.keras.model.TensorDict
, tfr.keras.model.TensorDict
]
See InputCreator
.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-08-18 UTC.
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