8b3543fca9d811c638bb72d78601c8564f5465fd,keras/backend/theano_backend.py,,batch_dot,#Any#Any#Any#,129

Before Change

    if axes is None:
        // behaves like tf.batch_matmul as default
        axes = [(x.ndim - 1,), (y.ndim - 2,)]
    return T.batched_tensordot(x, y, axes=axes)


def transpose(x):
    return T.transpose(x)

After Change

        Tensor with ndim >= 2
    """
    if type(axes) == int:
        axes = (axes, axes)
    if axes is None:
        // behaves like tf.batch_matmul as default
        axes = [x.ndim - 1, y.ndim - 2]
    out = T.batched_tensordot(x, y, axes=axes)
    if ndim(out) == 1:
        out = expand_dims(out, 1)
    return out


def transpose(x):
    return T.transpose(x)

Instances