9148325b9ca9edf94aaebd453b3cf86dba2ef99a,keras/backend/theano_backend.py,,batch_dot,#Any#Any#Any#,426

Before Change

    // workaround because theano doesn"t accept axes
    // which contains the batch axis (0)
    if axes[0] == 0:
        x = transpose(x)
        axes[0] = x.ndim - 1
    if axes[1] == 0:
        y = transpose(y)
        axes[1] = y.ndim - 1

After Change

    if isinstance(axes, tuple):
        axes = list(axes)

    if 0 in axes:
        raise ValueError("Can not perform batch_dot over axis 0."
                         "If your inputs are not batched,"
                         " add a dummy batch dimension to your "
                         "inputs using K.expand_dims(x, 0)")

    out = T.batched_tensordot(x, y, axes=axes)
    if ndim(out) == 1:
        out = expand_dims(out, 1)

Instances