def _remove_adjdup(x):
"""
Remove adjacent duplicate items of a vector
x: vector
return a vector with adjacent duplicate items removed, for example [1,2,2,2,3,3,4] -> [1,2,3,4]
"""
def update(x, nondup, idx):
nondup = tensor.switch(tensor.eq(nondup[idx], x), nondup, tensor.set_subtensor(nondup[idx + 1], x)) # tensor.switch is much faster than ifelse
idx = tensor.switch(tensor.eq(nondup[idx], x), idx, idx + 1)
return nondup, idx
nondup = x
idx = tensor.as_tensor_variable(0)
idx = tensor.cast(idx, 'int32')
result, updates = theano.scan(fn = update, sequences=x, outputs_info=[nondup, idx], name='remove_adjdup')
nondup = result[0][-1]
idx = result[1][-1]
return nondup[0:idx+1]
评论列表
文章目录