映射文档 No. 2

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.T.md

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+## [ 无参数 ] torch.Tensor.T
+
+### [torch.Tensor.T](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.T)
+
+```python
+torch.Tensor.T
+```
+
+### [paddle.Tensor.T](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#tensor)
+
+```python
+paddle.Tensor.T
+```
+
+两者功能一致，均无参数。

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.device.md

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+## [ 无参数 ] torch.Tensor.device
+
+### [torch.Tensor.device](https://pytorch.org/docs/stable/generated/torch.Tensor.device.html)
+
+```python
+torch.Tensor.device
+```
+
+### [paddle.Tensor.place](https://www.paddlepaddle.org.cn/documentation/docs/api/paddle/Tensor_cn.html#place)
+
+```python
+paddle.Tensor.place
+```
+
+两者功能一致，均无参数，都用来查看一个 Tensor 的设备位置。

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.grad.md

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+## [ 无参数 ] torch.Tensor.grad
+
+### [torch.Tensor.grad](https://pytorch.org/docs/stable/generated/torch.Tensor.grad.html)
+
+```python
+torch.Tensor.grad
+```
+
+### [paddle.Tensor.grad](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#grad)
+
+```python
+paddle.Tensor.grad
+```
+
+两者功能一致，均无参数，都用来查看一个 Tensor 的梯度。

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.imag.md

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+## [ 无参数 ] torch.Tensor.imag
+
+### [torch.Tensor.imag](https://pytorch.org/docs/stable/generated/torch.Tensor.imag.html)
+
+```python
+torch.Tensor.imag
+```
+
+### [paddle.Tensor.imag](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#imag-name-none)
+
+```python
+paddle.Tensor.imag
+```
+
+两者功能一致，均无参数，用于返回原复数 Tensor 的虚部数值。

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.is_leaf.md

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+##  [ 无参数 ] torch.Tensor.is_leaf
+
+### [torch.Tensor.is_leaf](https://pytorch.org/docs/stable/generated/torch.Tensor.is_leaf.html)
+
+```python
+torch.Tensor.is_leaf
+```
+
+### [paddle.Tensor.is_leaf](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#is-leaf)
+
+```python
+paddle.Tensor.is_leaf
+```
+
+两者功能一致，均无参数，判断 Tensor 是否为叶子 Tensor。

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.is_sparse.md

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+## [ 无参数 ] torch.Tensor.is_sparse
+
+### [torch.Tensor.is_sparse](https://pytorch.org/docs/stable/generated/torch.Tensor.is_sparse.html)
+
+```python
+torch.Tensor.is_sparse
+```
+
+### [paddle.Tensor.is_sparse](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html)
+
+```python
+paddle.Tensor.is_sparse()
+```
+
+两者功能一致，但使用方式不一致，前者可以直接访问属性，后者需要调用方法，具体如下：
+
+### 转写示例
+```
+# torch 版本可以直接访问属性
+# x = torch.rand(3)
+# print(x.is_sparse)
+
+# Paddle 版本需要调用
+x = paddle.rand([3])
+print(x.is_sparse())
+```

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.ndim.md

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+## [ 无参数 ] torch.Tensor.ndim
+
+### [torch.Tensor.ndim](https://pytorch.org/docs/stable/generated/torch.Tensor.ndim.html)
+
+```python
+torch.Tensor.ndim
+```
+
+### [paddle.Tensor.ndim](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#ndim)
+
+```python
+paddle.Tensor.ndim
+```
+
+两者功能一致，均无参数，查看一个 Tensor 的维度。

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.real.md

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+## [ 无参数 ] torch.Tensor.real
+
+### [torch.Tensor.real](https://pytorch.org/docs/stable/generated/torch.Tensor.real.html)
+
+```python
+torch.Tensor.real
+```
+
+### [paddle.Tensor.real](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#real-name-none)
+
+```python
+paddle.Tensor.real
+```
+
+两者功能一致，均无参数，用于返回 Tensor 的实部数值。

docs/guides/model_convert/convert_from_pytorch/api_difference/Tensor/torch.Tensor.shape.md

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+## [ 无参数 ] torch.Tensor.shape
+
+### [torch.Tensor.shape](https://pytorch.org/docs/stable/generated/torch.Tensor.shape.html)
+
+```python
+torch.Tensor.shape
+```
+
+### [paddle.Tensor.shape](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/Tensor_cn.html#shape)
+
+```python
+paddle.Tensor.shape
+```
+
+两者功能一致，均无参数，都用来查看一个 Tensor 的 shape，shape 是 Tensor 的一个重要的概念，其描述了 tensor 在每个维度上的元素数量。

docs/guides/model_convert/convert_from_pytorch/api_difference/functional/torch.nn.functional.affine_grid.md

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+## [ 仅参数名不一致 ] torch.nn.functional.affine_grid
+
+### [torch.nn.functional.affine_grid](https://pytorch.org/docs/stable/generated/torch.nn.functional.affine_grid.html?highlight=affine_grid#torch.nn.functional.affine_grid)
+
+```python
+torch.nn.functional.affine_grid(theta,
+            size,
+            align_corners=None)
+```
+
+### [paddle.nn.functional.affine_grid](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/nn/functional/affine_grid_cn.html)
+
+```python
+paddle.nn.functional.affine_grid(theta,
+            out_shape,
+            align_corners=True,
+            name=None)
+```
+
+两者功能一致，仅参数名不一致，具体如下：
+### 参数映射
+| PyTorch       | PaddlePaddle | 备注                                                   |
+| ------------- | ------------ | ------------------------------------------------------ |
+| theta          | theta         | 指定仿射变换矩阵        |
+| size          | out_shape         | 表示指定目标输出图像大小，仅参数名不一致。     |
+| align_corners          | align_corners         | 指定是否是像素中心对齐               |