【Hackathon 5th No.115】为 paddle.linalg.norm 进行功能对齐与功能增强-增加nuclear_norm #60766
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你的PR提交成功，感谢你对开源项目的贡献! |
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❌ The PR is not created using PR's template. You can refer to this Demo. |
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可以同步更新下中文文档 |
test/legacy_test/test_norm_all.py
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| keep_dim=keep, | ||
| check_dim=True, | ||
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| run_nuc( |
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单测没有测动态图，需要把动态图、静态图两个分支都测一下
test/legacy_test/test_norm_all.py
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| np_input, axis=axis, keepdims=keep_dim | ||
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| (result,) = exe.run(feed={"X": np_input}, fetch_list=[out]) | ||
| self.assertEqual((np.abs(result - expected_result) < 1e-6).all(), True) |
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这个直接用np.testing.assert_ 吧，规范一些
test/legacy_test/test_norm_all.py
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| def run_nuc(self, p, axis, shape_x, dtype, keep_dim, check_dim=False): |
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这个命名建议规范一点，run_nuc、run_nuc_graph这两个名字改成check_nuc_static、check_nuc_dygraph
test/legacy_test/test_norm_all.py
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| (result,) = exe.run(feed={"X": np_input}, fetch_list=[out]) | ||
| self.assertEqual((np.abs(result - expected_result) < 1e-6).all(), True) | ||
| if keep_dim and check_dim: | ||
| self.assertEqual( |
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这里直接self.assertEqual(a.shape, b.shape)吧，清晰规范一点
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这里用的np.testing.assert_equal，应该能行吧
test/legacy_test/test_norm_all.py
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| def run_nuc_graph(self, p, axis, shape_x, dtype, keep_dim, check_dim=False): |
Done. |
3 participants
PR types
Function optimization
PR changes
OPs
Description
为 paddle.linalg.norm 进行功能对齐与功能增强
#60070 (comment)