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Summary: Move this simple layer from the NeRF project into pytorch3d. Reviewed By: shapovalov Differential Revision: D34126972 fbshipit-source-id: a9c6d6c3c1b662c1b844ea5d1b982007d4df83e6
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# Copyright (c) Meta Platforms, Inc. and affiliates. | ||
# All rights reserved. | ||
# | ||
# This source code is licensed under the BSD-style license found in the | ||
# LICENSE file in the root directory of this source tree. | ||
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import unittest | ||
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import torch | ||
from common_testing import TestCaseMixin | ||
from pytorch3d.common.linear_with_repeat import LinearWithRepeat | ||
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class TestLinearWithRepeat(TestCaseMixin, unittest.TestCase): | ||
def setUp(self) -> None: | ||
super().setUp() | ||
torch.manual_seed(42) | ||
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def test_simple(self): | ||
x = torch.rand(4, 6, 7, 3) | ||
y = torch.rand(4, 6, 4) | ||
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linear = torch.nn.Linear(7, 8) | ||
torch.nn.init.xavier_uniform_(linear.weight.data) | ||
linear.bias.data.uniform_() | ||
equivalent = torch.cat([x, y.unsqueeze(-2).expand(4, 6, 7, 4)], dim=-1) | ||
expected = linear.forward(equivalent) | ||
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linear_with_repeat = LinearWithRepeat(7, 8) | ||
linear_with_repeat.load_state_dict(linear.state_dict()) | ||
actual = linear_with_repeat.forward((x, y)) | ||
self.assertClose(actual, expected, rtol=1e-4) |
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