numpy arrary has no attribute 'permute'
时间: 2023-08-05 18:07:26 浏览: 72
回答: 错误信息表明numpy数组没有'permute'属性。要使用'permute'函数,你需要将numpy数组转换为PyTorch张量。你可以使用torch.from_numpy()函数将numpy数组转换为张量,然后再使用'permute'函数。例如,你可以这样做:
```
import torchimport numpy as np# 假设你有一个numpy数组arrarr = np.array([[1,2,3], [4,5,6]])
# 将numpy数组转换为张量tensor = torch.from_numpy(arr)
# 使用'permute'函数对张量进行维度重排permuted_tensor = tensor.permute(1,0)
# 打印结果print(permuted_tensor)
```
这样,你就可以在PyTorch中使用'permute'函数对张量进行维度重排了。希望对你有帮助!
相关问题
module 'numpy' has no attribute 'permute'
The error message suggests that you are trying to use the `permute` function from NumPy, but NumPy doesn't have an attribute with that name. In fact, NumPy doesn't have a `permute` function, but rather a similar function called `transpose`.
Here's an example of how to use `transpose` in NumPy:
```python
import numpy as np
# create a 3-dimensional array
arr = np.array([
[[1, 2, 3], [4, 5, 6]],
[[7, 8, 9], [10, 11, 12]]
])
# transpose the array
arr_transposed = np.transpose(arr, (0, 2, 1))
print(arr_transposed)
```
The `transpose` function takes the array to be transposed as its first argument, and a tuple specifying the new order of the dimensions as its second argument. In this example, we're transposing the array from shape `(2, 2, 3)` to `(2, 3, 2)` by swapping the second and third dimensions.
module 'numpy' has no attribute
当你遇到 "module 'numpy' has no attribute" 的错误时,通常是因为你在使用numpy模块时,调用了一个不存在的属性或方法。
首先,确保你已经正确安装了numpy模块。你可以使用以下命令来安装numpy:
```
pip install numpy
```
如果已经安装了numpy,那么可能是你在代码中使用了错误的属性或方法名。请检查你的代码,确保你正确地引用了numpy模块中存在的属性和方法。
另外,还有一种可能性是你的代码中存在命名冲突。如果你的代码中有一个名为"numpy.py"的文件,它会与numpy模块发生冲突。在这种情况下,你需要将你的文件重命名为其他名称,以避免冲突。
如果你能提供更具体的错误信息和代码示例,我可以给出更详细的帮助。