autokeras/adapters/input_adapters.py
# Copyright 2020 The AutoKeras Authors.
#
# 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.
import numpy as np
import tensorflow as tf
from autokeras.engine import adapter as adapter_module
class InputAdapter(adapter_module.Adapter):
def check(self, x):
"""Record any information needed by transform."""
if not isinstance(x, (np.ndarray, tf.data.Dataset)):
raise TypeError(
"Expect the data to Input to be numpy.ndarray or "
"tf.data.Dataset, but got {type}.".format(type=type(x))
)
if isinstance(x, np.ndarray) and not np.issubdtype(x.dtype, np.number):
raise TypeError(
"Expect the data to Input to be numerical, but got "
"{type}.".format(type=x.dtype)
)
class ImageAdapter(adapter_module.Adapter):
def check(self, x):
"""Record any information needed by transform."""
if not isinstance(x, (np.ndarray, tf.data.Dataset)):
raise TypeError(
"Expect the data to ImageInput to be numpy.ndarray or "
"tf.data.Dataset, but got {type}.".format(type=type(x))
)
if isinstance(x, np.ndarray) and not np.issubdtype(x.dtype, np.number):
raise TypeError(
"Expect the data to ImageInput to be numerical, but got "
"{type}.".format(type=x.dtype)
)
class TextAdapter(adapter_module.Adapter):
def check(self, x):
"""Record any information needed by transform."""
if not isinstance(x, (np.ndarray, tf.data.Dataset)):
raise TypeError(
"Expect the data to TextInput to be numpy.ndarray or "
"tf.data.Dataset, but got {type}.".format(type=type(x))
)