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映射文档 torch.nn.functional.embedding #5928
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感谢你贡献飞桨文档,文档预览构建中,Docs-New 跑完后即可预览,预览链接:http://preview-pr-5928.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
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## torch.nn.functional.binary_cross_entropy |
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前面要写分类
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done
| padding_idx | padding_idx | 在此区间内的参数及对应的梯度将会以 0 进行填充 | | ||
| max_norm | - | 如果给定,Embeddding 向量的范数(范数的计算方式由 norm_type 决定)超过了 max_norm 这个界限,就要再进行归一化,PaddlePaddle 无此功能,暂无转写方式。 | | ||
| norm_type | - | 为 maxnorm 选项计算 p-范数的 p。默认值 2,PaddlePaddle 暂无此功能,暂无转写方式。 | | ||
| scale_grad_by_freq | - | 是否根据单词在 mini-batch 中出现的频率,对梯度进行放缩,PaddlePaddle 暂无此功能。 | |
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少了个 暂无转写方式。
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done
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写成统一一致的吧:暂无转写方式
| norm_type | - | 为 maxnorm 选项计算 p-范数的 p。默认值 2,PaddlePaddle 暂无此功能,暂无转写方式。 | | ||
| scale_grad_by_freq | - | 是否根据单词在 mini-batch 中出现的频率,对梯度进行放缩,PaddlePaddle 暂无此功能。 | | ||
| sparse | sparse | 表示是否使用稀疏更新。 | | ||
| - | name | Pytorch 无此参数,Paddle 保持默认即可。 | |
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所有API的name参数,都忽略即可
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done
CI要检查一下 |
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## [ 参数不一致 ] torch.nn.functional.binary_cross_entropy |
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这个是torch参数更多吧
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done
| padding_idx | padding_idx | 在此区间内的参数及对应的梯度将会以 0 进行填充 | | ||
| max_norm | - | 如果给定,Embeddding 向量的范数(范数的计算方式由 norm_type 决定)超过了 max_norm 这个界限,就要再进行归一化,PaddlePaddle 无此功能,暂无转写方式。 | | ||
| norm_type | - | 为 maxnorm 选项计算 p-范数的 p。默认值 2,PaddlePaddle 暂无此功能,暂无转写方式。 | | ||
| scale_grad_by_freq | - | 是否根据单词在 mini-batch 中出现的频率,对梯度进行放缩,PaddlePaddle 暂无此功能。 | |
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写成统一一致的吧:暂无转写方式
@@ -33,3 +33,21 @@ paddle.nn.Embedding(num_embeddings, | |||
| scale_grad_by_freq | - | 是否根据单词在 mini-batch 中出现的频率,对梯度进行放缩,PaddlePaddle 暂无此功能。 | |
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这些都用统一的话术描述:Paddle无此功能,暂无转写方式。
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done
| ------------- | ------------ | ------------------------------------------------------ | | ||
| input | x | 输入 Tensor | | ||
| kernel_size | kernel_sizes | 卷积核大小, PyTorch 参数类型为 int、tuple(int) 或者 list(int), Paddle 参数类型为 int 或者 list(int)。 | | ||
| dilation | dilations | 卷积膨胀,PyTorch 参数类型为 int、tuple(int) 或者 list(int), Paddle 参数类型为 int 或者 list(int)。 | |
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可以写成,Pytorch支持int、tuple(int) 或者 list(int),Paddle仅支持int 或者 list(int),突出我们比他们少
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done
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需要写是在转写哪个参数,参考模板来
| sparse | sparse | 表示是否使用稀疏更新。 | | ||
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### 转写示例 | ||
```python |
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转写前需要写下是 转写哪个参数,请严格按规范来
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done
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那这个是转哪个参数呢
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无参数转写,已删除
| padding | paddings | 每个维度的扩展,仅参数名不一致。 | | ||
| stride | strides | 卷积步长,仅参数名不一致。 | | ||
### 转写示例 | ||
``` python |
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转写前需要写下是 转写哪个参数
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done
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### 转写示例 | ||
```python |
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转写前需要写下是 转写哪个参数,请严格按规范来
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done
| sparse | sparse | 表示是否使用稀疏更新。 | | ||
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### 转写示例 | ||
```python |
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那这个是转哪个参数呢
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### [torch.nn.functional.unfold](https://pytorch.org/docs/1.13/generated/torch.nn.functional.unfold.html#torch.nn.functional.unfold) | ||
## [ 参数名不一致 ]torch.nn.functional.unfold |
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这个就算 参数不一致 吧,支持类型不同
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done
@@ -28,8 +28,27 @@ paddle.nn.Embedding(num_embeddings, | |||
| num_embeddings | num_embeddings | 表示嵌入字典的大小。 | | |||
| embedding_dim | embedding_dim | 表示每个嵌入向量的维度。 | | |||
| padding_idx | padding_idx | 在此区间内的参数及对应的梯度将会以 0 进行填充 | |
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对于需要转写的参数,需要加一个 需要转写
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done
# paddle 写法 | ||
paddle.nn.Embedding(4, 3,padding_idx=0) | ||
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# 当 PyTorch 使用 max_norm、norm_type、scale_grad_by_freq 任意参数时,暂不支持转写 |
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这个不用写
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done
torch.nn.Embedding(4, 3) | ||
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# paddle 写法 | ||
paddle.nn.Embedding(4,3) |
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这个不需要转写的
转写示例是针对某个参数,抬头说明是要转哪个参数
不需要转写的情况不要写
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done
add document function.embedding