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# 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)
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