ttnn.hardtanh

ttnn.hardtanh(input_tensor: ttnn.Tensor, min_val: float = -1, max_val: float = 1, *, memory_config: ttnn.MemoryConfig | None = None) → ttnn.Tensor

Performs hardtanh function on input_tensor, min_val, max_val.

Parameters:

• input_tensor (ttnn.Tensor) – the input tensor.

• min_val (float) – min value. Defaults to -1.

• max_val (float) – max value. Defaults to 1.

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, BFLOAT8_B	TILE	2, 3, 4

Example

>>> tensor = ttnn.from_torch(input, dtype=ttnn.bfloat16, layout=ttnn.TILE_LAYOUT, device=device)
>>> min = 2
>>> max = 8
>>> output = ttnn.hardtanh(tensor, min, max)