Module keras.distribute.model_collection_base
A base class to provide a model and corresponding input data for testing.
Expand source code
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""A base class to provide a model and corresponding input data for testing."""
class ModelAndInput:
"""Base class to provide model and its corresponding inputs."""
def get_model(self):
"""Returns a compiled keras model object, together with output name.
Returns:
model: a keras model object
output_name: a string for the name of the output layer
"""
raise NotImplementedError("must be implemented in descendants")
def get_data(self):
"""Returns data for training and predicting.
Returns:
x_train: data used for training
y_train: label used for training
x_predict: data used for predicting
"""
raise NotImplementedError("must be implemented in descendants")
def get_batch_size(self):
"""Returns the batch_size used by the model."""
raise NotImplementedError("must be implemented in descendants")
Classes
class ModelAndInput
-
Base class to provide model and its corresponding inputs.
Expand source code
class ModelAndInput: """Base class to provide model and its corresponding inputs.""" def get_model(self): """Returns a compiled keras model object, together with output name. Returns: model: a keras model object output_name: a string for the name of the output layer """ raise NotImplementedError("must be implemented in descendants") def get_data(self): """Returns data for training and predicting. Returns: x_train: data used for training y_train: label used for training x_predict: data used for predicting """ raise NotImplementedError("must be implemented in descendants") def get_batch_size(self): """Returns the batch_size used by the model.""" raise NotImplementedError("must be implemented in descendants")
Subclasses
Methods
def get_batch_size(self)
-
Returns the batch_size used by the model.
Expand source code
def get_batch_size(self): """Returns the batch_size used by the model.""" raise NotImplementedError("must be implemented in descendants")
def get_data(self)
-
Returns data for training and predicting.
Returns
x_train
- data used for training
y_train
- label used for training
x_predict
- data used for predicting
Expand source code
def get_data(self): """Returns data for training and predicting. Returns: x_train: data used for training y_train: label used for training x_predict: data used for predicting """ raise NotImplementedError("must be implemented in descendants")
def get_model(self)
-
Returns a compiled keras model object, together with output name.
Returns
model
- a keras model object
output_name
- a string for the name of the output layer
Expand source code
def get_model(self): """Returns a compiled keras model object, together with output name. Returns: model: a keras model object output_name: a string for the name of the output layer """ raise NotImplementedError("must be implemented in descendants")