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