keras-team/keras · error · ValueError

Shape mismatch in {name}for weight {symbolic_weights[i].path

Error message

Shape mismatch in {name}for weight {symbolic_weights[i].path}. Weight expects shape {expected_shape}. Received saved weight with shape {received_shape}

What it means

Error "Shape mismatch in {name}for weight {symbolic_weights[i].path}. Weight expects shape {expected_shape}. Received saved weight with shape {received_shape}" thrown in keras-team/keras.

Source

Thrown at keras/src/legacy/saving/legacy_h5_format.py:460

        ValueError: in case of mismatch between provided
            model/layer and weights.
    """
    for i, weight_value in enumerate(weight_values):
        expected_shape = symbolic_weights[i].shape
        received_shape = weight_value.shape
        if expected_shape != received_shape:
            if skip_mismatch:
                warnings.warn(
                    f"Skipping loading weights for {name}"
                    f"due to mismatch in shape for "
                    f"weight {symbolic_weights[i].path}. "
                    f"Weight expects shape {expected_shape}. "
                    "Received saved weight "
                    f"with shape {received_shape}",
                    stacklevel=2,
                )
                continue
            raise ValueError(
                f"Shape mismatch in {name}"
                f"for weight {symbolic_weights[i].path}. "
                f"Weight expects shape {expected_shape}. "
                "Received saved weight "
                f"with shape {received_shape}"
            )
        symbolic_weights[i].assign(weight_value)

    if hasattr(instance, "finalize_state") and symbolic_weights:
        instance.finalize_state()


def load_weights_from_hdf5_group_by_name(group, model, skip_mismatch=False):
    """Implements name-based weight loading (instead of topological loading).

    Layers that have no matching name are skipped.

    Args:

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/legacy/saving/legacy_h5_format.py:460 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/9510b7cc5efba38b. Report an issue: GitHub.