ttnn.abs

ttnn.abs(input_tensor: ttnn.Tensor or ComplexTensor, *, memory_config: ttnn.MemoryConfig = None, output_tensor: ttnn.Tensor = None) → ttnn.Tensor

Applies abs to input_tensor element-wise.

\[\mathrm{{output\_tensor}}_i = \verb|abs|(\mathrm{{input\_tensor}}_i)\]

Parameters:

input_tensor (ttnn.Tensor or ComplexTensor) – the input tensor.

Keyword Arguments:

memory_config (ttnn.MemoryConfig, optional) – memory configuration for the operation. Defaults to None.
output_tensor (ttnn.Tensor, optional) – preallocated output tensor. 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

# Create a tensor
tensor = ttnn.from_torch(
    torch.tensor([[1, 2], [3, 4]], dtype=torch.bfloat16), layout=ttnn.TILE_LAYOUT, device=device
)

# Compute the absolute value
output = ttnn.abs(tensor)
logger.info(f"Absolute value: {output}")