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映射文档 No. 59 #5857
映射文档 No. 59 #5857
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## [ torch 参数更多 ] torch.Tensor.bernoulli | ||
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### [torch.Tensor.bernoulli](https://pytorch.org/docs/stable/generated/torch.Tensor.bernoulli.html#torch-tensor-bernoulli) | ||
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```python | ||
torch.Tensor.bernoulli(*, generator=None) | ||
``` | ||
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### [paddle.bernoulli](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/bernoulli_cn.html#bernoulli) | ||
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```python | ||
paddle.bernoulli(x, name=None) | ||
``` | ||
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其中 torch 是类成员函数,而 paddle 是非类成员函数,因此第一个参数 `x` 不进行对比,Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 直接写 |
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### 参数映射 | ||
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| generator | - | 用于采样的伪随机数生成器, Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | | ||
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### 转写示例 | ||
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```python | ||
# torch 写法 | ||
x = torch.tensor([0.2, 0.6, 0.8]) | ||
y = x.bernoulli() | ||
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# paddle 写法 | ||
x = paddle.to_tensor([0.2, 0.6, 0.8]) | ||
y = paddle.bernoulli(x) | ||
``` |
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## [ torch 参数更多 ] torch.Tensor.bfloat16 | ||
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### [torch.Tensor.bfloat16](https://pytorch.org/docs/stable/generated/torch.Tensor.bfloat16.html#torch-tensor-bfloat16) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 链接改为 1.13 版本下的~ |
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```python | ||
torch.Tensor.bfloat16(memory_format=torch.preserve_format) | ||
``` | ||
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### [paddle.Tensor.astype](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#astype-dtype) | ||
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```python | ||
paddle.Tensor.astype('bfloat16') | ||
``` | ||
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其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
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### 参数映射 | ||
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| memory_format | - | 表示内存格式, Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | | ||
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### 转写示例 | ||
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```python | ||
# torch 写法 | ||
x = torch.randn(3, 3) | ||
y = x.bfloat16() | ||
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# paddle 写法 | ||
x = paddle.randn([3, 3]) | ||
y = x.astype('bfloat16') | ||
``` |
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## [ torch 参数更多 ] torch.Tensor.bool | ||
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### [torch.Tensor.bool](https://pytorch.org/docs/stable/generated/torch.Tensor.bool.html#torch.Tensor.bool) | ||
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```python | ||
torch.Tensor.bool(memory_format=torch.preserve_format) | ||
``` | ||
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### [paddle.Tensor.astype](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#astype-dtype) | ||
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```python | ||
paddle.Tensor.astype('bool') | ||
``` | ||
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其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
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### 参数映射 | ||
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| memory_format | - | 表示内存格式, Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | | ||
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### 转写示例 | ||
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```python | ||
# torch 写法 | ||
x = torch.tensor([-1, 0, 1]) | ||
y = x.bool() | ||
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# paddle 写法 | ||
x = paddle.to_tensor([-1, 0, 1]) | ||
y = x.astype('bool') | ||
``` |
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## [ torch 参数更多 ] torch.Tensor.byte | ||
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### [torch.Tensor.byte](https://pytorch.org/docs/stable/generated/torch.Tensor.byte.html#torch.Tensor.byte) | ||
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```python | ||
torch.Tensor.byte(memory_format=torch.preserve_format) | ||
``` | ||
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### [paddle.Tensor.astype](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#astype-dtype) | ||
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```python | ||
paddle.Tensor.astype('uint8') | ||
``` | ||
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其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
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### 参数映射 | ||
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| memory_format | - | 表示内存格式, Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | | ||
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### 转写示例 | ||
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```python | ||
# torch 写法 | ||
x = torch.tensor([0, 1, 2, 3]) | ||
y = x.byte() | ||
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# paddle 写法 | ||
x = paddle.to_tensor([0, 1, 2, 3]) | ||
y = x.astype('uint8') | ||
``` |
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## [ torch 参数更多 ] torch.Tensor.char | ||
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### [torch.Tensor.char](https://pytorch.org/docs/stable/generated/torch.Tensor.char.html#torch-tensor-char) | ||
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```python | ||
torch.Tensor.char(memory_format=torch.preserve_format) | ||
``` | ||
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### [paddle.Tensor.astype](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#astype-dtype) | ||
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```python | ||
paddle.Tensor.astype('int8') | ||
``` | ||
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其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
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### 参数映射 | ||
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| memory_format | - | 表示内存格式, Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | | ||
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### 转写示例 | ||
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```python | ||
# torch 写法 | ||
x.char() | ||
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# paddle 写法 | ||
x.astype('int8') | ||
``` |
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## [ torch 参数更多 ] torch.Tensor.clone | ||
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### [torch.Tensor.clone](https://pytorch.org/docs/stable/generated/torch.Tensor.clone.html#torch.Tensor.clone) | ||
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```python | ||
torch.Tensor.clone(*, memory_format=torch.preserve_format) | ||
``` | ||
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### [paddle.Tensor.clone](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#clone) | ||
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```python | ||
paddle.Tensor.clone() | ||
``` | ||
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其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
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### 参数映射 | ||
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| memory_format | - | 表示内存格式, Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | |
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## [ torch 参数更多 ] torch.Tensor.div | ||
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### [torch.Tensor.div](https://pytorch.org/docs/stable/generated/torch.Tensor.div.html#torch.Tensor.div) | ||
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```python | ||
torch.Tensor.div(other, *, rounding_mode=None) | ||
``` | ||
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### [paddle.Tensor.divide](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#divide-y-name-none) | ||
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```python | ||
paddle.Tensor.divide(y, name=None) | ||
``` | ||
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其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
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### 参数映射 | ||
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| other | y | 表示输入的 Tensor ,仅参数名不一致。 | | ||
| rounding_mode | - | 用于指定在执行截断除法时的舍入模式。可选值为 'floor'(向下取整) 或 'trunc'(截断)。Paddle 无此功能,暂无转写方式。| | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. trunc可以写为 向零取整 import paddle
a = paddle.to_tensor([0.9, 1.2])
b = paddle.to_tensor([-0.2, 0.7])
res1 = a.divide(b).trunc() # 向零取整
res2 = a.divide(b).floor() # 向下取整
print(res1)
print(res2) |
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## [ torch 参数更多 ] torch.Tensor.divide | ||
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### [torch.Tensor.divide](https://pytorch.org/docs/stable/generated/torch.Tensor.divide.html#torch-tensor-divide) | ||
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```python | ||
torch.Tensor.divide(other, *, rounding_mode=None) | ||
``` | ||
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### [paddle.Tensor.divide](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#divide-y-name-none) | ||
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```python | ||
paddle.Tensor.divide(y, name=None) | ||
``` | ||
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其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
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### 参数映射 | ||
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| other | y | 表示输入的 Tensor ,仅参数名不一致。 | | ||
| rounding_mode | - | 用于指定在执行截断除法时的舍入模式。可选值为 'floor'(向下取整) 或 'trunc'(截断)。Paddle 无此功能,暂无转写方式。| | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 和上面一个转写方式一样 |
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## [ torch 参数更多 ] torch.Tensor.double | ||
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### [torch.Tensor.double](https://pytorch.org/docs/stable/generated/torch.Tensor.char.html#torch-tensor-char) | ||
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```python | ||
torch.Tensor.double(memory_format=torch.preserve_format) | ||
``` | ||
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### [paddle.Tensor.astype](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#astype-dtype) | ||
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```python | ||
paddle.Tensor.astype('float64') | ||
``` | ||
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其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下: | ||
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### 参数映射 | ||
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||
| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| memory_format | - | 表示内存格式, Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | | ||
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### 转写示例 | ||
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```python | ||
# torch 写法 | ||
x.double() | ||
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# paddle 写法 | ||
x.astype('float64') | ||
``` |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
pytorch链接需要是 1.13 版本下的链接 ,其余文件也辛苦修改一下