8202e627c7d7897728d824c84a6d479ca84a9098,keras/backend/theano_backend.py,,slice,#Any#Any#Any#,1331

Before Change

def slice(x, start, size):
    raise NotImplementedError


def pattern_broadcast(x, broadcastable):
    return T.patternbroadcast(x, broadcastable)

After Change

def slice(x, start, size):
    if not (len(int_shape(x)) == len(start) == len(size)):
        raise ValueError("The dimension and the size of indices should match.")
    out = x[tuple([py_slice(i, i + j) for (i, j) in zip(start, size)])]
    out._keras_shape = tuple(size)
    return out


def pattern_broadcast(x, broadcastable):
    return T.patternbroadcast(x, broadcastable)

Instances