75bef59016a8a230823a04836e1ab6e5bf0079dc,keras/backend/tensorflow_backend.py,,dot,#Any#Any#,106

Before Change

// LINEAR ALGEBRA

def dot(x, y):
    return tf.matmul(x, y)


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

After Change

    with a 3D tensor, reproduces the Theano behavior
    (e.g. (2, 3).(4, 3, 5) = (2, 4, 5))
    """
    if ndim(x) == 2 and ndim(y) == 3:
        slices = []
        for i in range(int_shape(y)[0]):
            slice_i = tf.matmul(x, y[i, :, :])
            slice_i = expand_dims(slice_i, 1)
            slices.append(slice_i)
        out = tf.concat(1, slices)
        return out
    out = tf.matmul(x, y)
    return out

Instances