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Keras premade models: Change the API endpoints of LinearModel and Wid…
…eDeepModel to `tf.compat.v1.keras.models.XModel`, and deprecate the existing experimental endpoints. PiperOrigin-RevId: 389292301
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keras/api/golden/v1/tensorflow.keras.models.-linear-model.pbtxt
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path: "tensorflow.keras.models.LinearModel" | ||
tf_class { | ||
is_instance: "<class \'keras.premade.linear.LinearModel\'>" | ||
is_instance: "<class \'keras.engine.training.Model\'>" | ||
is_instance: "<class \'keras.engine.base_layer.Layer\'>" | ||
is_instance: "<class \'tensorflow.python.module.module.Module\'>" | ||
is_instance: "<class \'tensorflow.python.training.tracking.tracking.AutoTrackable\'>" | ||
is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>" | ||
is_instance: "<class \'keras.utils.version_utils.LayerVersionSelector\'>" | ||
is_instance: "<class \'keras.utils.version_utils.ModelVersionSelector\'>" | ||
is_instance: "<type \'object\'>" | ||
member { | ||
name: "activity_regularizer" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "compute_dtype" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "distribute_strategy" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "dtype" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "dtype_policy" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "dynamic" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "inbound_nodes" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "input" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "input_mask" | ||
mtype: "<type \'property\'>" | ||
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member { | ||
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mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "input_spec" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "layers" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "losses" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "metrics" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "metrics_names" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "name" | ||
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member { | ||
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member { | ||
name: "non_trainable_variables" | ||
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name: "state_updates" | ||
mtype: "<type \'property\'>" | ||
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member { | ||
name: "stateful" | ||
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member { | ||
name: "submodules" | ||
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} | ||
member { | ||
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member { | ||
name: "trainable" | ||
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} | ||
member { | ||
name: "trainable_variables" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "trainable_weights" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "updates" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "variable_dtype" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "variables" | ||
mtype: "<type \'property\'>" | ||
} | ||
member { | ||
name: "weights" | ||
mtype: "<type \'property\'>" | ||
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member_method { | ||
name: "__init__" | ||
argspec: "args=[\'self\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'None\', \'True\', \'zeros\', \'zeros\', \'None\', \'None\'], " | ||
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member_method { | ||
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member_method { | ||
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member_method { | ||
name: "evaluate_generator" | ||
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} | ||
member_method { | ||
name: "finalize_state" | ||
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" | ||
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member_method { | ||
name: "fit" | ||
argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\', \'validation_batch_size\', \'validation_freq\', \'max_queue_size\', \'workers\', \'use_multiprocessing\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'auto\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\', \'None\', \'1\', \'10\', \'1\', \'False\'], " | ||
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member_method { | ||
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name: "get_input_shape_at" | ||
argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" | ||
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member_method { | ||
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argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " | ||
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argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" | ||
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} |
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