keras-team/keras · error · ValueError

Input shapes {x1.shape} and {x2.shape} must match for PSNR c

Error message

Input shapes {x1.shape} and {x2.shape} must match for PSNR calculation. 

What it means

Error "Input shapes {x1.shape} and {x2.shape} must match for PSNR calculation. " thrown in keras-team/keras.

Source

Thrown at keras/src/backend/numpy/ops/nn.py:1347

        )
    elif strategy == "beam_search":
        return _ctc_beam_search_decode(
            inputs,
            sequence_lengths,
            beam_width=beam_width,
            top_paths=top_paths,
            mask_index=mask_index,
        )
    else:
        raise ValueError(
            f"Invalid strategy {strategy}. Supported values are "
            "'greedy' and 'beam_search'."
        )


def psnr(x1, x2, max_val):
    if x1.shape != x2.shape:
        raise ValueError(
            f"Input shapes {x1.shape} and {x2.shape} must "
            "match for PSNR calculation. "
        )

    max_val = convert_to_tensor(max_val, dtype=x2.dtype)
    mse = np.mean(np.square(x1 - x2))
    psnr = 20 * np.log10(max_val) - 10 * np.log10(mse)
    return psnr


def _get_large_negative(dtype):
    dtype = backend.standardize_dtype(dtype)
    val = 65500.0 if dtype == "float16" else 3.38953e38
    return np.asarray(val * -0.7, dtype=dtype)


def _apply_masks(logits, mask, is_causal):
    if mask is None and not is_causal:

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/numpy/ops/nn.py:1347 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/46a072969a9e342b. Report an issue: GitHub.