ttnn.sinh

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

Performs sinh function on input_tensor.

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

Parameters:

input_tensor (ttnn.Tensor) – the input tensor. [supported range -9 to 9].

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

# Create a tensor with random values
tensor = ttnn.rand([2, 2], dtype=ttnn.bfloat16, layout=ttnn.TILE_LAYOUT, device=device)

# Compute the hyperbolic sine
output = ttnn.sinh(tensor)
logger.info(f"Hyperbolic sine: {output}")