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# coding=utf-8 | |
# Copyright 2021 The Deeplab2 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. | |
"""This file contains utility functions for the model tests.""" | |
import numpy as np | |
import tensorflow as tf | |
def create_test_input(batch, height, width, channels): | |
"""Creates test input tensor.""" | |
input_tensor = np.tile( | |
np.reshape( | |
np.reshape(np.arange(height), [height, 1]) + | |
np.reshape(np.arange(width), [1, width]), | |
[1, height, width, 1]), | |
[batch, 1, 1, channels]) | |
# Normalize the input tensor so that the outputs are not too large. | |
input_tensor = (input_tensor * 2 / np.max(input_tensor)) - 1 | |
return tf.cast(input_tensor, tf.float32) | |