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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.
"""Provide utility functions to write simple tests."""
import functools
import numpy as np
import tensorflow as tf
NORMALIZATION_LAYERS = (
tf.keras.layers.experimental.SyncBatchNormalization,
tf.keras.layers.BatchNormalization
)
def create_strategy():
"""Returns a strategy based on available devices.
Does NOT work with local_multiworker_tpu_test tests!
"""
tpus = tf.config.list_logical_devices(device_type='TPU')
gpus = tf.config.list_logical_devices(device_type='GPU')
if tpus:
resolver = tf.distribute.cluster_resolver.TPUClusterResolver('')
tf.config.experimental_connect_to_cluster(resolver)
tf.tpu.experimental.initialize_tpu_system(resolver)
return tf.distribute.TPUStrategy(resolver)
elif gpus:
return tf.distribute.OneDeviceStrategy('/gpu:0')
else:
return tf.distribute.OneDeviceStrategy('/cpu:0')
def test_all_strategies(func):
"""Decorator to test CPU, GPU and TPU strategies."""
@functools.wraps(func)
def decorator(self):
strategy = create_strategy()
return func(self, strategy)
return decorator
def create_test_input(batch, height, width, channels):
"""Creates test input tensor."""
return tf.convert_to_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]), dtype=tf.float32)
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