# Type information

Source: https://www.tensorplay.cn/docs/type_info.html

tensorplay.finfo and tensorplay.iinfo describe the limits of a floating-point or integer
data type. You can query a dtype, or construct one from a tensor.

```
import tensorplay as tp

print(tp.finfo(tp.float32))          # machine limits for float32
print(tp.finfo(tp.float32).max)      # 3.4028235e+38
print(tp.iinfo(tp.int64).max)        # 9223372036854775807
```

finfo works for floating-point dtypes (float16, float32, float64, and the complex
dtypes) and exposes values such as max, min, eps, tiny, and resolution. iinfo
works for integer dtypes (int8 through int64, and the unsigned types) and exposes min
and max.

Both accept a dtype or the data type of a tensor:

```
x = tp.tensor([1.0, 2.0])
print(tp.finfo(x.dtype).eps)         # machine epsilon for float32
```

| tensorplay.finfo | |
| --- | --- |
| tensorplay.iinfo |  |

## Where to go next

- [Tensor attributes](/docs/tensor_attributes.html) — the dtype and device of a tensor.