python - 在运行时获取 HybridBlock 层形状

Question

我正在尝试构建自定义池化层(用于 ndarray 和 Symbol)并且我需要知道运行时的输入形状。根据文档，HybridBlock 具有函数“infer_shape”，但我无法使其工作。关于我做错了什么的任何指示？

mxnet版本

1.0.0 ，从 conda 构建，python3。

最小可重现示例

例如:

import mxnet as mx
import mxnet.ndarray as nd
from mxnet.gluon import HybridBlock

class runtime_shape(HybridBlock):


    def __init__(self,  **kwards):
        HybridBlock.__init__(self,**kwards)


    def hybrid_forward(self,F,_input):

        print (self.infer_shape(_input))

        return _input

xx = nd.random_uniform(shape=[5,5,16,16])

mynet = runtime_shape()
mynet.hybrid_forward(nd,xx)

错误信息:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-41-3f539a940958> in <module>()
----> 1 mynet.hybrid_forward(nd,xx)

<ipython-input-38-afc9785b716d> in hybrid_forward(self, F, _input)
     17     def hybrid_forward(self,F,_input):
     18 
---> 19         print (self.infer_shape(_input))
     20 
     21         return _input

 /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.pyc in infer_shape(self, *args)
    460     def infer_shape(self, *args):
    461         """Infers shape of Parameters from inputs."""
--> 462         self._infer_attrs('infer_shape', 'shape', *args)
    463 
    464     def infer_type(self, *args):

/home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.pyc in _infer_attrs(self, infer_fn, attr, *args)
    448     def _infer_attrs(self, infer_fn, attr, *args):
    449         """Generic infer attributes."""
--> 450         inputs, out = self._get_graph(*args)
    451         args, _ = _flatten(args)
    452         arg_attrs, _, aux_attrs = getattr(out, infer_fn)(

/home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.pyc in _get_graph(self, *args)
    369             params = {i: j.var() for i, j in self._reg_params.items()}
    370             with self.name_scope():
--> 371                 out = self.hybrid_forward(symbol, *grouped_inputs, **params)  # pylint: disable=no-value-for-parameter
    372             out, self._out_format = _flatten(out)
    373 

/home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.pyc in __exit__(self, ptype, value, trace)
     78         if self._block._empty_prefix:
     79             return
---> 80         self._name_scope.__exit__(ptype, value, trace)
     81         self._name_scope = None
     82         _BlockScope._current = self._old_scope

AttributeError: 'NoneType' object has no attribute '__exit__'

Answer 1

HybridBlock 的想法是让命令式世界中的调试变得容易，您可以在其中简单地放置一个断点或 print 语句，然后查看哪些数据正在您的网络中流动。当您确信网络正在执行您想要的操作时，您可以调用 .hybridize() 并享受速度提升。

在开发网络和使用命令式模式时，您可以简单地打印:
打印('形状'，_input.shape)


并在使用网络的混合版本时删除此行，因为这仅适用于 NDArrays。

如果这不能回答您的问题，您能否通过获取输入数据的形状来准确说明您试图实现的目标是什么？