d4fce4f5f1b9c164de6a873dbb877d46e00c75e1,keras/backend/theano_backend.py,,batch_dot,#Any#Any#Any#,114

Before Change

def batch_dot(x, y, axes=None):
    if ndim(x) != 3 or ndim(y) != 3:
        raise Exception("batch_dot supports only 3D tensor. " +
                        "Input1 dim is {}, Input2 ndim is {}.".format(
                            ndim(x), ndim(y)))
    if axes is None:
        // behaves like tf.batch_matmul as default
        axes = [(2,), (1,)]
    return T.batched_tensordot(x, y, axes=axes)

After Change

def batch_dot(x, y, axes=None):
    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)

Instances