keras-team/keras · error · ValueError

Expected input `x` to have rank 2. Received: rank(x)={ndim(x

Error message

Expected input `x` to have rank 2. Received: rank(x)={ndim(x)}

What it means

Error "Expected input `x` to have rank 2. Received: rank(x)={ndim(x)}" thrown in keras-team/keras.

Source

Thrown at keras/src/legacy/backend.py:1301

    else:
        x = tf.nn.relu(x)

    if clip_max:
        max_value = tf.convert_to_tensor(max_value, dtype=x.dtype)
        zero = tf.convert_to_tensor(0, dtype=x.dtype)
        x = tf.clip_by_value(x, zero, max_value)

    if alpha != 0.0:
        alpha = tf.convert_to_tensor(alpha, dtype=x.dtype)
        x -= alpha * negative_part
    return x


@keras_export("keras._legacy.backend.repeat")
def repeat(x, n):
    """DEPRECATED."""
    if ndim(x) != 2:
        raise ValueError(
            f"Expected input `x` to have rank 2. Received: rank(x)={ndim(x)}"
        )
    x = tf.expand_dims(x, 1)
    pattern = tf.stack([1, n, 1])
    return tf.tile(x, pattern)


@keras_export("keras._legacy.backend.repeat_elements")
def repeat_elements(x, rep, axis):
    """DEPRECATED."""
    x_shape = x.shape.as_list()
    # For static axis
    if x_shape[axis] is not None:
        # slices along the repeat axis
        splits = tf.split(value=x, num_or_size_splits=x_shape[axis], axis=axis)
        # repeat each slice the given number of reps
        x_rep = [s for s in splits for _ in range(rep)]
        return concatenate(x_rep, axis)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/legacy/backend.py:1301 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/13317721ceae2879. Report an issue: GitHub.