# tensorplay.functional.result_type

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

```python
tensorplay.functional.result_type(tensor1, tensor2) → dtype
```

Returns the [tensorplay.dtype](/docs/generated/tensorplay.DType.html#tensorplay.DType) that would result from performing an arithmetic
operation on the provided input tensors. See type promotion documentation
for more information on the type promotion logic.

Parameters:

- tensor1 ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor) or Number) – an input tensor or number

- tensor2 ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor) or Number) – an input tensor or number

Example:

```
>>> tensorplay.result_type(tensorplay.tensor([1, 2], dtype=tensorplay.int), 1.0)
tensorplay.float32
>>> tensorplay.result_type(tensorplay.tensor([1, 2], dtype=tensorplay.uint8), tensorplay.tensor(1))
tensorplay.uint8
```