ttnn.conj

ttnn.conj = Operation(python_fully_qualified_name='ttnn.conj', function=<ttnn._ttnn.operations.complex_unary.conj_t object>, preprocess_golden_function_inputs=<function default_preprocess_golden_function_inputs>, golden_function=<function _golden_function>, postprocess_golden_function_outputs=<function default_postprocess_golden_function_outputs>, is_cpp_operation=True, is_experimental=False)

Returns complex conjugate value of complex tensor input_tensor.

Parameters:

input_tensor (ComplexTensor) – the input tensor.

Keyword Arguments:

memory_config (ttnn.MemoryConfig, optional) – Memory config for the operation. Defaults to None.

Returns:

ttnn.Tensor – the output tensor.

Example

>>> tensor = ttnn.to_device(ttnn.from_torch(torch.tensor((0, 1), dtype=torch.bfloat16)), device = device)
>>> output = ttnn.conj(tensor)