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import sys |
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from pathlib import Path |
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import pytest |
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import torch |
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from torch import nn |
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project_root = Path(__file__).resolve().parent.parent.parent |
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sys.path.append(str(project_root)) |
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from yolo.tools.module_helper import auto_pad, get_activation |
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@pytest.mark.parametrize( |
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"kernel_size, dilation, expected", |
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[ |
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(3, 1, (1, 1)), |
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((3, 3), (1, 1), (1, 1)), |
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(3, (2, 2), (2, 2)), |
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((5, 5), 1, (2, 2)), |
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((3, 5), (2, 1), (2, 2)), |
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], |
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) |
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def test_auto_pad(kernel_size, dilation, expected): |
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assert auto_pad(kernel_size, dilation) == expected, "auto_pad does not calculate padding correctly" |
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@pytest.mark.parametrize( |
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"activation_name, expected_type", |
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[("ReLU", nn.ReLU), ("leakyrelu", nn.LeakyReLU), ("none", nn.Identity), (None, nn.Identity), (False, nn.Identity)], |
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) |
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def test_get_activation(activation_name, expected_type): |
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result = get_activation(activation_name) |
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assert isinstance(result, expected_type), f"get_activation does not return correct type for {activation_name}" |
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def test_get_activation_invalid(): |
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with pytest.raises(ValueError): |
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get_activation("unsupported_activation") |
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