ttnn.polar

ttnn.polar = Operation(python_fully_qualified_name='ttnn.polar', function=<ttnn._ttnn.operations.complex_unary.polar_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)

Perform an polar to Cartesian transformation on input_tensor, input_tensor.real(r), input_tensor.imag(theta) into x + i*y generating a complex 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.polar(tensor)