ttnn.asinh

ttnn.asinh(input_tensor: ttnn.Tensor, *, memory_config: ttnn.MemoryConfig | None = None) → ttnn.Tensor

Performs asinh function on input_tensor.

Parameters:

input_tensor (ttnn.Tensor) – the input tensor.

Keyword Arguments:

memory_config (ttnn.MemoryConfig, optional) – memory configuration for the operation. Defaults to None.

Returns:

ttnn.Tensor – the output tensor.

Note

Supported dtypes, layouts, and ranks:

Dtypes	Layouts	Ranks
BFLOAT16	TILE	2, 3, 4

System memory is not supported.

Example

>>> tensor = ttnn.from_torch(torch.rand([2, 2], dtype=torch.bfloat16), layout=ttnn.TILE_LAYOUT, device=device)
>>> output = ttnn.asinh(tensor)