vision

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import unittest
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import pytest
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import torch
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from torchvision.models.maxvit import SwapAxes, WindowDepartition, WindowPartition
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class MaxvitTester(unittest.TestCase):
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    def test_maxvit_window_partition(self):
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        input_shape = (1, 3, 224, 224)
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        partition_size = 7
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        n_partitions = input_shape[3] // partition_size
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        x = torch.randn(input_shape)
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        partition = WindowPartition()
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        departition = WindowDepartition()
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        x_hat = partition(x, partition_size)
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        x_hat = departition(x_hat, partition_size, n_partitions, n_partitions)
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        torch.testing.assert_close(x, x_hat)
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    def test_maxvit_grid_partition(self):
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        input_shape = (1, 3, 224, 224)
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        partition_size = 7
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        n_partitions = input_shape[3] // partition_size
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        x = torch.randn(input_shape)
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        pre_swap = SwapAxes(-2, -3)
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        post_swap = SwapAxes(-2, -3)
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        partition = WindowPartition()
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        departition = WindowDepartition()
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        x_hat = partition(x, n_partitions)
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        x_hat = pre_swap(x_hat)
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        x_hat = post_swap(x_hat)
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        x_hat = departition(x_hat, n_partitions, partition_size, partition_size)
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        torch.testing.assert_close(x, x_hat)
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if __name__ == "__main__":
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    pytest.main([__file__])
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