转换规则 No.383 #220
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转换规则 No.383 #220
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Thanks for your contribution! |
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zhwesky2010
reviewed
Aug 4, 2023
tests/test_nn_Module.py
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| pytorch_code = textwrap.dedent( | ||
| """ | ||
| import torch | ||
| module1 = torch.nn.Module() |
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这个一般用来继承基类，可以写一个简单的继承自MLP的Layer
然后重写compare函数，对比输出paddle结果是 paddle.nn.Layer 即可
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重写了两种测试，一个是检查模型输出是否相同，一个是检查class.name是否相同
zhwesky2010
reviewed
Aug 14, 2023
tests/test_nn_Module.py
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| def test_case_1(): | ||
| pytorch_code = textwrap.dedent( | ||
| """ | ||
| import torch |
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hi, @shuaills
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PR Docs
文档已存在
torch.nn.Module的映射文档
PR APIs
Pytorch-Paddle开源任务#112，No.383
为 torch.nn.Module 增加了测试