jhfjhfj1/autokeras

# 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 tensorflow as tf

from autokeras.engine import analyser


class InputAnalyser(analyser.Analyser):
    def finalize(self):
        return


class ImageAnalyser(InputAnalyser):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)

    def finalize(self):
        if len(self.shape) not in [3, 4]:
            raise ValueError(
                "Expect the data to ImageInput to have shape (batch_size, "
                "height, width, channels) or (batch_size, height, width) "
                "dimensions, but got input shape {shape}".format(
                    shape=self.shape
                )
            )


class TextAnalyser(InputAnalyser):
    def correct_shape(self):
        if len(self.shape) == 1:
            return True
        return len(self.shape) == 2 and self.shape[1] == 1

    def finalize(self):
        if not self.correct_shape():
            raise ValueError(
                "Expect the data to TextInput to have shape "
                "(batch_size, 1), but "
                "got input shape {shape}.".format(shape=self.shape)
            )
        if self.dtype != tf.string:
            raise TypeError(
                "Expect the data to TextInput to be strings, but got "
                "{type}.".format(type=self.dtype)
            )