0f4fec30f00b29aa206e36fe875c83ff6149b618,keras/backend/tensorflow_backend.py,,batch_dot,#Any#Any#Any#,822

Before Change

        (32, 1, 30)
    ```
    
    if ndim(x) < 3 or ndim(y) < 3:
        raise ValueError("Invalid dimensions for batch_dot: ", ndim(x), ndim(y))
    if isinstance(axes, int):
        axes = (axes, axes)
    if axes is not None:
        adj_x = None if axes[0] == ndim(x) - 1 else True

After Change

    
    if isinstance(axes, int):
        axes = (axes, axes)
    if ndim(x) == 2 and ndim(y) == 2:
        if axes[0] == axes[1]:
            out = tf.reduce_sum(tf.mul(x, y), axes[0])
        else:
            out = tf.reduce_sum(tf.mul(tf.transpose(x, [1, 0]), y), axes[1])
    else:
        if axes is not None:
            adj_x = None if axes[0] == ndim(x) - 1 else True
            adj_y = True if axes[1] == ndim(y) - 1 else None
        else:
            adj_x = None
            adj_y = None
        // TODO: remove later.
        if hasattr(tf, "batch_matmul"):
            try:
                out = tf.batch_matmul(x, y, adj_a=adj_x, adj_b=adj_y)
            except TypeError:
                out = tf.batch_matmul(x, y, adj_x=adj_x, adj_y=adj_y)
        else:
            out = tf.matmul(x, y, adjoint_a=adj_x, adjoint_b=adj_y)
    if ndim(out) == 1:
        out = expand_dims(out, 1)
    return out

Instances