ttnn.multigammaln

ttnn.multigammaln = Operation(python_fully_qualified_name='ttnn.multigammaln', function=<ttnn._ttnn.operations.unary.multigammaln_t object>, preprocess_golden_function_inputs=<function default_preprocess_golden_function_inputs>, golden_function=<function register_ttnn_cpp_unary_function.<locals>._golden_function>, postprocess_golden_function_outputs=<function default_postprocess_golden_function_outputs>, is_cpp_operation=True, is_experimental=False)

Performs multigammaln function on input_tensor.

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

>>> tensor = ttnn.from_torch(torch.tensor([[2, 3], [4, 5]], dtype=torch.bfloat16), layout=ttnn.TILE_LAYOUT, device=device)
>>> output = ttnn.multigammaln(tensor)