babysor/MockingBird · error · ValueError

has 'real' and 'imag' keys

Error message

has 'real' and 'imag' keys: {}

What it means

to_torch_tensor converts dict inputs to ComplexTensor, but only if the dict has both 'real' and 'imag' keys. A dict missing either key raises ValueError listing the actual keys present.

Solutions

1. Rename keys to 'real' and 'imag' before calling
2. Pass torch.Tensor or numpy array directly if the data is real-valued
3. Inspect x.keys() in the error message to see what you actually passed

Example fix

# before
x = {'re': a, 'im': b}
t = to_torch_tensor(x)

# after
x = {'real': a, 'imag': b}
t = to_torch_tensor(x)

if isinstance(x, dict):
    assert {'real', 'imag'} <= set(x.keys()), f'keys: {list(x)}'

def is_complex_dict(x) -> bool:
    return isinstance(x, dict) and 'real' in x and 'imag' in x

When it happens

Trigger: Passing a dict to to_torch_tensor whose keys are not exactly containing 'real' and 'imag', e.g. {'re': ..., 'im': ...} or a features dict with other metadata keys.

Common situations: Loading numpy complex features saved as dicts with different key names; feeding a generic feature dict where a complex tensor was expected.

Related errors

• Both increase only and decrease only are set
• Invalid options: mode=
• Invalid options: mode=
• Model folder doesn't exist.
• Model folder doesn't exist.

AI-assisted analysis of babysor/MockingBird@28dc5e14f1 (2026-08-27). Data as JSON: /api/errors/010d637640c8bde2. Report an issue: GitHub.

Appendix: source

Thrown at models/ppg_extractor/nets_utils.py:350

        )

    """
    # If numpy, change to torch tensor
    if isinstance(x, np.ndarray):
        if x.dtype.kind == 'c':
            # Dynamically importing because torch_complex requires python3
            from torch_complex.tensor import ComplexTensor
            return ComplexTensor(x)
        else:
            return torch.from_numpy(x)

    # If {'real': ..., 'imag': ...}, convert to ComplexTensor
    elif isinstance(x, dict):
        # Dynamically importing because torch_complex requires python3
        from torch_complex.tensor import ComplexTensor

        if 'real' not in x or 'imag' not in x:
            raise ValueError("has 'real' and 'imag' keys: {}".format(list(x)))
        # Relative importing because of using python3 syntax
        return ComplexTensor(x['real'], x['imag'])

    # If torch.Tensor, as it is
    elif isinstance(x, torch.Tensor):
        return x

    else:
        error = ("x must be numpy.ndarray, torch.Tensor or a dict like "
                 "{{'real': torch.Tensor, 'imag': torch.Tensor}}, "
                 "but got {}".format(type(x)))
        try:
            from torch_complex.tensor import ComplexTensor
        except Exception:
            # If PY2
            raise ValueError(error)
        else:
            # If PY3

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