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# SPDX-FileCopyrightText: Copyright 2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for module mlia.nn.rewrite.graph_edit.join."""
from pathlib import Path
import numpy as np
import pytest
from mlia.nn.rewrite.core.graph_edit.diff import calc_nrmse
from mlia.nn.rewrite.core.graph_edit.diff import diff_stats
def assert_two_dictionaries_with_numpy_arrays(dict1: dict, dict2: dict) -> None:
"""Use numpy assertions to check whether two dictionaries are equal."""
key1, val1 = list(dict1.keys()), list(dict1.values())
key2, val2 = list(dict2.keys()), list(dict2.values())
np.testing.assert_equal(key1, key2)
np.testing.assert_almost_equal(val1, val2)
@pytest.mark.parametrize(
"rmse, scale, expected_result",
[
(
{"test1": np.ndarray((3,), buffer=np.array([1.0, 2.0, 3.3]))},
{"test1": np.ndarray((3,), buffer=np.array([4.0, 4.0, 0.0]))},
{"test1": np.ndarray((3,), buffer=np.array([0.5, 1.0, 3.3]))},
),
(
{"test1": np.ndarray((3,), buffer=np.array([1.0, 2.0, 3.3]))},
{"test1": np.ndarray((3,), buffer=np.array([0.0, 0.0, 0.0]))},
{"test1": np.ndarray((3,), buffer=np.array([1.0, 2.0, 3.3]))},
),
],
)
def test_calc_nrmse(rmse: dict, scale: dict, expected_result: dict) -> None:
"""Test calc_nrmse() function."""
assert_two_dictionaries_with_numpy_arrays(calc_nrmse(rmse, scale), expected_result)
def test_diff_stats(test_tfrecord_fp32: Path) -> None:
"""Test diff_stats() function."""
res1, res2 = diff_stats(test_tfrecord_fp32, test_tfrecord_fp32)
assert res1 == 0.0
assert res2 == 0.0
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