【Hackathon 7th No.39】为 Paddle 代码转换工具新增 API 转换规则（第 6 组） #477

Asthestarsfalll · 2024-09-18T07:26:46Z

PR Docs

PR APIs

torch.nn.functional.lp_pool1d
torch.nn.functional.lp_pool2d
torch.nn.functional.threshold_
torch.nn.functional.feature_alpha_dropout
torch.nn.functional.scaled_dot_product_attention
torch.nn.LPPool1d
torch.nn.LPPool2d
torch.nn.Softmin
torch.nn.AdaptiveLogSoftmaxWithLoss
torch.nn.parameter.UninitializedParameter
torch.nn.parameter.UninitializedBuffer
torch.nn.CircularPad3d
torch.nn.utils.parametrizations.weight_norm
torch.optim.RAdam
torch.optim.NAdam

目前问题：

lp_pool torch行为与Paddle不一致，当norm_type为inf时，应该与max_pool一致，而torch返回1。
未找到UninitializedParameter与UninitializedBuffer的映射

paddle-bot · 2024-09-18T07:26:51Z

Thanks for your contribution!

zhwesky2010 · 2024-09-18T12:04:09Z

PR Docs

PaddlePaddle/docs#6878

PR APIs

torch.nn.functional.lp_pool1d torch.nn.functional.lp_pool2d torch.nn.functional.threshold_ torch.nn.functional.feature_alpha_dropout torch.nn.functional.scaled_dot_product_attention torch.nn.LPPool1d torch.nn.LPPool2d torch.nn.Softmin torch.nn.AdaptiveLogSoftmaxWithLoss torch.nn.parameter.UninitializedParameter torch.nn.parameter.UninitializedBuffer torch.nn.CircularPad3d torch.nn.utils.parametrizations.weight_norm torch.optim.RAdam torch.optim.NAdam

目前问题：

lp_pool torch行为与Paddle不一致，当norm_type为inf时，应该与max_pool一致，而torch返回1。

未找到UninitializedParameter与UninitializedBuffer的映射

描述的问题的方式，从Pytorch的角度来描述。对Pytorch的某些具体功能，看Paddle的表现有什么差异，分析清楚差异是否是Paddle有功能Bug，或者功能缺陷。给出明确结论，不是简单的罗列问题。
这个不是都能有现成的映射，需要去分析出对应的替代实现方式，使得对网络计算无影响即可

Asthestarsfalll · 2024-09-19T01:27:35Z

PR Docs

PaddlePaddle/docs#6878

PR APIs

torch.nn.functional.lp_pool1d torch.nn.functional.lp_pool2d torch.nn.functional.threshold_ torch.nn.functional.feature_alpha_dropout torch.nn.functional.scaled_dot_product_attention torch.nn.LPPool1d torch.nn.LPPool2d torch.nn.Softmin torch.nn.AdaptiveLogSoftmaxWithLoss torch.nn.parameter.UninitializedParameter torch.nn.parameter.UninitializedBuffer torch.nn.CircularPad3d torch.nn.utils.parametrizations.weight_norm torch.optim.RAdam torch.optim.NAdam
目前问题：

lp_pool torch行为与Paddle不一致，当norm_type为inf时，应该与max_pool一致，而torch返回1。

未找到UninitializedParameter与UninitializedBuffer的映射

描述的问题的方式，从Pytorch的角度来描述。对Pytorch的某些具体功能，看Paddle的表现有什么差异，分析清楚差异是否是Paddle有功能Bug，或者功能缺陷。给出明确结论，不是简单的罗列问题。

这个不是都能有现成的映射，需要去分析出对应的替代实现方式，使得对网络计算无影响即可

根据PyTorch的文档，当norm_type为inf时，应该与max_pool一致，Paddle的实现在norm_type为inf时，会直接调用max_pool，而PyTorch直接计算，由于浮点数范围原因，会输出为1
了解

zhwesky2010 · 2024-09-19T08:04:06Z

@Asthestarsfalll 单测失败，请保证CI通过，CI未通过不予合入：

2024-09-19 10:46:30 FAILED tests/test_nn_LPPool1d.py::test_case_3 - AssertionError: API (torch.nn...
2024-09-19 10:46:30 FAILED tests/test_nn_LPPool2d.py::test_case_6 - AssertionError: API (torch.nn...
2024-09-19 10:46:30 FAILED tests/test_nn_Softmin.py::test_case_1 - AttributeError: module 'paddle...
2024-09-19 10:46:30 FAILED tests/test_nn_Softmin.py::test_case_2 - AttributeError: module 'paddle...
2024-09-19 10:46:30 FAILED tests/test_nn_functional_lp_pool1d.py::test_case_5 - AssertionError: A...
2024-09-19 10:46:30 FAILED tests/test_nn_functional_lp_pool2d.py::test_case_6 - AssertionError: A...
2024-09-19 10:46:30 ============ 6 failed, 8152 passed, 90 skipped in 188.53s (0:03:08) ============

zhwesky2010 · 2024-09-19T08:05:27Z

@Asthestarsfalll 第1点问题，写一个屏蔽版本的单测，然后在注释备注好原因

Asthestarsfalll · 2024-09-25T00:18:42Z

paconvert/api_matcher.py

+            class Softmin(paddle.nn.Softmax):
+                def forward(self, x):
+                    return super().forward(-x)
+            setattr(paddle.nn, 'Softmin', Softmin)


好像没有办法获取forward的输入，所以只能这样

zhwesky2010 · 2024-09-29T10:02:05Z

@Asthestarsfalll 现在CI未通过，需要修复

zhwesky2010 · 2024-10-08T10:43:28Z

@Asthestarsfalll CI未通过，请自查问题

zhwesky2010 · 2024-10-12T06:53:50Z

@Asthestarsfalll CI仍未通过，请自查问题

zhwesky2010 · 2024-10-17T04:21:40Z

=========================== short test summary info ============================
2024-10-10 18:06:37 FAILED tests/test_nn_Softmin.py::test_case_1 - AttributeError: module 'paddle...
2024-10-10 18:06:37 FAILED tests/test_nn_Softmin.py::test_case_2 - AttributeError: module 'paddle...
2024-10-10 18:06:37 =========== 2 failed, 8289 passed, 105 skipped in 250.09s (0:04:10) ============

CI未通过

Asthestarsfalll · 2024-10-22T01:36:29Z

tests/test_nn_Softmin.py

+
+from apibase import APIBase
+
+obj = APIBase("torch.nn.Softmin", is_aux_api=True)


@zhwesky2010 ci过不了应该是因为aux code，但是设置为True还是有问题

@zhwesky2010 ci过不了应该是因为aux code，但是设置为True还是有问题

你本地测试有问题吗？

如果本地测试就有问题，需要你自己逐行去调试。

如果本地测试没问题，只在CI上有问题，我们会帮忙排查或修复CI环境的问题。

zhwesky2010

这个你还是要查查Softmin哪里写的不对，逐行调试

zhwesky2010 · 2024-10-25T04:29:01Z

paconvert/api_matcher.py

@@ -3914,6 +3914,36 @@ def generate_code(self, kwargs):
        return GenericMatcher.generate_code(self, kwargs)


+class SoftminMatcher(SoftmaxMatcher):
+    def generate_code(self, kwargs):
+        self.paddle_api = "paddle.nn.Softmin"


这个在json里不能配吗

因为要修改forward，似乎不能通过json配吧

zhwesky2010 · 2024-10-25T04:29:55Z

paconvert/api_matcher.py

+            class Softmin(paddle.nn.Softmax):
+                def forward(self, x):
+                    return super().forward(-x)
+            setattr(paddle.nn, 'Softmin', Softmin)


这个就不用setattr paddle了，直接调用paddle_aux.Softmin吧，避免别人认为paddle也有paddle.nn.Softmin

已更新，本地测试截图：

本地第一次运行会出现同样的错误，但是第二次运行就正常了，测试了其他使用aux code的文件，也有同样的问题，比如Softmax

本地第一次运行会出现同样的错误，但是第二次运行就正常了，测试了其他使用aux code的文件，也有同样的问题，比如Softmax

@zhwesky2010

tests/test_optim_NAdam.py

tests/test_optim_RAdam.py

paconvert/api_mapping.json

zhwesky2010 · 2024-11-12T10:25:47Z

@Asthestarsfalll 这个需要修复一下CI

【Hackathon 7th No.39】为 Paddle 代码转换工具新增 API 转换规则（第 6 组）

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luotao1 mentioned this pull request Sep 18, 2024

【Hackathon 7th】开源贡献个人挑战赛 PaddlePaddle/Paddle#68244

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Asthestarsfalll commented Sep 25, 2024

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Asthestarsfalll and others added 2 commits October 8, 2024 19:03

Merge branch 'master' into 6

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Asthestarsfalll commented Oct 22, 2024

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zhwesky2010 reviewed Oct 25, 2024

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Asthestarsfalll and others added 2 commits October 25, 2024 15:33

update Softmin

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Merge branch 'master' into 6

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【Hackathon 7th No.39】为 Paddle 代码转换工具新增 API 转换规则（第 6 组） #477

【Hackathon 7th No.39】为 Paddle 代码转换工具新增 API 转换规则（第 6 组） #477

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zhwesky2010 commented Nov 12, 2024


		from apibase import APIBase

		obj = APIBase("torch.nn.Softmin", is_aux_api=True)

【Hackathon 7th No.39】为 Paddle 代码转换工具新增 API 转换规则（第 6 组） #477

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