# Differences with torch.Tensor.item

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## torch.Tensor.item

```python
torch.Tensor.item()
```

For more information, see [torch.Tensor.item](https://pytorch.org/docs/1.8.1/tensors.html#torch.Tensor.item).

## mindspore.Tensor.item

```python
mindspore.Tensor.item(index=None)
```

For more information, see [mindspore.Tensor.item](https://www.mindspore.cn/docs/en/r2.3.0rc1/api_python/mindspore/Tensor/mindspore.Tensor.item.html#mindspore.Tensor.item).

## Differences

PyTorch: Returns the value of this tensor, applicable to tensors with only one element. Returns a Number.

MindSpore：Returns the value corresponding to the specified index in the tensor, applicable to tensors with one or more elements. Returns a Tensor.

## Code Example

```python
import mindspore as ms
import numpy as np
import torch

# MindSpore
x = ms.Tensor(np.array([[1,2,3],[4,5,6]], dtype=np.float32))
print(x.item((0,1)))
# 2.0

x = ms.Tensor(np.array([[1,2,3],[4,5,6]], dtype=np.float32))
print(x.asnumpy().item((0,1)))
# 2.0

y = ms.Tensor([1.0])
print(y.item())
# 1.0

# PyTorch
z = torch.tensor([1.0])
# 1.0
```