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PYTHONPAYH=$PADDLE_ROOT/build/python python | ||
``` | ||
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如果上述代码import paddle成功,那么说明paddle安装成功了。注意将你的 PADDLE_ROOT 替换为你git clone 的目录 |
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那么说明paddle安装成功了
编译成功?
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2. 找到 tests/run_all.sh 文件,修改第2行的`export PYTHONPATH=$PYTHONPATH:../` 为 `export PYTHONPATH=$PYTHONPATH:../:$PADDLE_ROOT/build/python` 然后运行,查看是否可以成功运行所有的单测,如果提示Paddle找不到,请认真查看PYTHONPATH的路径是否设置正确。 | ||
```bash | ||
bash run_all.sh |
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前面加一个 cd tests
?
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# 背景 | |||
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当前的 Paddle Symbolic Opcode Translator 已经可以处理常见的场景。其中包含Paddle的API调用、Paddle Method调用、Layer 调用甚至Resnet也可以以单子图的形式运行。因此Paddle Symbolic Opcode Translator进入了正确率和成功率的保证阶段:对Paddle原有动转静的所有单测进行兼容测试,保证 <font color='red'>100%</font> 的兼容。 |
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这里统称 PaddleSOT 即可,全称我们放到首页的README.md 即可。
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# 单测调研现状 | ||
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在Paddle侧提了`AST to static` 和 `PSOT to static` 的统一PR之后,我们进行了一次正确率测试,目前的成功率是:<font color='red'>47.5%</font>(上述是开了非严格模式下的成功率)。一共 120 个单测只完整通过了 57个。 |
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AST-Based @to_static
和 SOT-Based @to_static
,下面的所有PSOT 都改为PaddleSOT是不是好一些?
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## API 列表问题 | ||
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有的问题是因为 |
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这是没有写完么?
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