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Utils for working with models.
Classes
class BatchReducibleBatchedDoFnWithModels: Abstract class for DoFns that need the shared models.
class BatchReducibleDoFnWithModels: Abstract class for DoFns that need the shared models.
class CombineFnWithModels: Abstract class for CombineFns that need the shared models.
class DoFnWithModels: Abstract class for DoFns that need the shared models.
class ModelContents: Class for storing model contents.
class ModelSignaturesDoFn: Updates extracts by calling specified model signature functions.
Functions
filter_by_input_names(...): Filters dict by input names.
find_input_name_in_features(...): Maps input name to an entry in features. Returns None if not found.
get_baseline_model_spec(...): Returns baseline model spec.
get_callable(...): Returns callable associated with given signature or None if not callable.
get_default_signature_name(...): Returns default signature name for given model.
get_feature_values_for_model_spec_field(...): Gets feature values associated with given model spec fields from extracts.
get_input_specs(...): Returns the input names and tensor specs associated with callable or None.
get_inputs(...): Returns inputs from record batch for given input specs.
get_label_key(...): Returns the label_key corresponding to a given output name.
get_model_spec(...): Returns model spec with given model name.
get_model_type(...): Returns model type for given model spec taking into account defaults.
get_non_baseline_model_specs(...): Returns non-baseline model specs.
has_rubber_stamp(...): Check whether the candidate model is being rubber stamped.
input_specs_to_tensor_representations(...): Converts input specs into tensor representations.
is_callable_fn(...): Returns true if function is callable.
model_construct_fn(...): Returns function for constructing shared models.
verify_and_update_eval_shared_models(...): Verifies eval shared models and normnalizes to produce a single list.
Other Members | |
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| KERAS_INPUT_SUFFIX |
'_input'
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