ttnn.multigammaln

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

Performs multigammaln function on input_tensor.

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

Parameters:

input_tensor (ttnn.Tensor) – the input tensor. [supported range 1.6 to inf].

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

Example

# Create a tensor with specific values
tensor = ttnn.from_torch(
    torch.tensor([[2, 3], [4, 5]], dtype=torch.bfloat16), layout=ttnn.TILE_LAYOUT, device=device
)

# Compute the multivariate log gamma function
output = ttnn.multigammaln(tensor)
logger.info(f"Multivariate log gamma: {output}")