12345678910111213141516171819202122232425262728293031323334353637383940414243444546 |
- 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__])
|