# tensorplay.functional.argmin

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.argmin.html

```python
tensorplay.functional.argmin(input, dim=None, keepdim=False) → LongTensor
```

Returns the indices of the minimum value(s) of the flattened tensor or along a dimension

This is the second value returned by [tensorplay.min()](/docs/generated/tensorplay.min.html#tensorplay.min). See its
documentation for the exact semantics of this method.

> **Note**
>
> If there are multiple minimal values then the indices of the first minimal value are returned.

Parameters:

- input ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the input tensor.

- dim – the dimension to reduce.

Example:

```
>>> a = tensorplay.randn(4, 4)
>>> a
tensor([[ 0.1139,  0.2254, -0.1381,  0.3687],
        [ 1.0100, -1.1975, -0.0102, -0.4732],
        [-0.9240,  0.1207, -0.7506, -1.0213],
        [ 1.7809, -1.2960,  0.9384,  0.1438]])
>>> tensorplay.argmin(a)
tensor(13)
>>> tensorplay.argmin(a, dim=1)
tensor([ 2,  1,  3,  1])
>>> tensorplay.argmin(a, dim=1, keepdim=True)
tensor([[2],
        [1],
        [3],
        [1]])
```