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https://github.com/nerfstudio-project/nerfstudio.git
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38cbb0f358
* implementing l1 and tv reg in the original tensorf paper * added documentation for tv loss * added test for tv loss * fix formating * fix formatting --------- Co-authored-by: Yan Xiao <yax010@ucsd.edu>
29 lines
609 B
Python
29 lines
609 B
Python
"""
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Test losses
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"""
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import torch
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from nerfstudio.model_components.losses import tv_loss
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def test_tv_loss():
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"""Test total variation loss"""
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grids = torch.ones([3, 64, 128, 128])
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assert tv_loss(grids).item() == 0
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grids = torch.zeros([1, 10, 100, 100])
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for i in range(100):
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for j in range(100):
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grid_location = (i + j) % 2
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for k in range(10):
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grids[0, k, i, j] = grid_location
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# TV_row = 1, TV_col = 1. Totol tv should be 2 * (TV_row + TV_col)
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assert tv_loss(grids).item() == 4.0
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if __name__ == "__main__":
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test_tv_loss()
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