diff options
Diffstat (limited to 'tests/mlia/utils')
-rw-r--r-- | tests/mlia/utils/__init__.py | 3 | ||||
-rw-r--r-- | tests/mlia/utils/common.py | 32 | ||||
-rw-r--r-- | tests/mlia/utils/logging.py | 13 |
3 files changed, 48 insertions, 0 deletions
diff --git a/tests/mlia/utils/__init__.py b/tests/mlia/utils/__init__.py new file mode 100644 index 0000000..27166ef --- /dev/null +++ b/tests/mlia/utils/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-License-Identifier: Apache-2.0 +"""Test utils module.""" diff --git a/tests/mlia/utils/common.py b/tests/mlia/utils/common.py new file mode 100644 index 0000000..4313cde --- /dev/null +++ b/tests/mlia/utils/common.py @@ -0,0 +1,32 @@ +# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-License-Identifier: Apache-2.0 +"""Common test utils module.""" +from typing import Tuple + +import numpy as np +import tensorflow as tf + + +def get_dataset() -> Tuple[np.array, np.array]: + """Return sample dataset.""" + mnist = tf.keras.datasets.mnist + (x_train, y_train), _ = mnist.load_data() + x_train = x_train / 255.0 + + # Use subset of 60000 examples to keep unit test speed fast. + x_train = x_train[0:1] + y_train = y_train[0:1] + + return x_train, y_train + + +def train_model(model: tf.keras.Model) -> None: + """Train model using sample dataset.""" + num_epochs = 1 + + loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) + model.compile(optimizer="adam", loss=loss_fn, metrics=["accuracy"]) + + x_train, y_train = get_dataset() + + model.fit(x_train, y_train, epochs=num_epochs) diff --git a/tests/mlia/utils/logging.py b/tests/mlia/utils/logging.py new file mode 100644 index 0000000..d223fb2 --- /dev/null +++ b/tests/mlia/utils/logging.py @@ -0,0 +1,13 @@ +# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-License-Identifier: Apache-2.0 +"""Utils for logging.""" +import logging + + +def clear_loggers() -> None: + """Close the log handlers.""" + for _, logger in logging.Logger.manager.loggerDict.items(): + if not isinstance(logger, logging.PlaceHolder): + for handler in logger.handlers: + handler.close() + logger.removeHandler(handler) |