7e4ef6f98b
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
20 lines
486 B
Python
20 lines
486 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import numpy as np
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import torch
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from mmpose.core import WeightNormClipHook
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def test_weight_norm_clip():
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torch.manual_seed(0)
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module = torch.nn.Linear(2, 2, bias=False)
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module.weight.data.fill_(2)
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WeightNormClipHook(max_norm=1.0).register(module)
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x = torch.rand(1, 2).requires_grad_()
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_ = module(x)
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weight_norm = module.weight.norm().item()
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np.testing.assert_almost_equal(weight_norm, 1.0, decimal=6)
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