[GitHub] [incubator-mxnet] float123 opened a new issue #17892: How to get the output of the specified layer？

[GitBox <gi...@apache.org>]

float123 opened a new issue #17892: How to get the output of the specified layer？
URL: https://github.com/apache/incubator-mxnet/issues/17892
 
 
   Hi，
   I need to get the output of a certain layer, I did the following：
   ```
   sym, arg_params, aux_params = mx.model.load_checkpoint('./data/retina', 0)
   print('sym', sym) # [face_rpn_cls_prob_reshape_stride32, face_rpn_bbox_pred_stride32, face_rpn_landmark_pred_stride32,.......]
   
   data = mx.sym.Variable('data')
   sym1 = mx.sym.Variable('face_rpn_cls_prob_reshape_stride32')
   group = data + sym1
   group= group.get_internals()
   
   mod = mx.mod.Module(symbol=group, context=mx.gpu(0), label_names=None)
   mod.bind(data_shapes=[('data', (1, 3, 600, 600))], for_training=False)
   mod.set_params(arg_params, aux_params)
   
   mod.forward(img, is_train=False)
   net_out = mod.get_outputs()
   ```
   RuntimeError: face_rpn_cls_prob_reshape_stride32 is not presented
   
   or
   ```
   data = mx.sym.Variable('data')
   sym1 = mx.sym.Variable('face_rpn_cls_prob_reshape_stride32')
   sym1 = sym1.get_internals()
   group = mx.symbol.Group([data, sym1])
   mod = mx.mod.Module(symbol=group, context=mx.gpu(0), label_names=None)
   
   ```
   RuntimeError: simple_bind error. Arguments:
   data: (1, 3, 600, 600)
   [23:49:46] src/executor/../common/exec_utils.h:392: InferShape pass cannot decide shapes for the following arguments (-1 means unknown dimensions). Please consider providing them as inputs:
   face_rpn_cls_prob_reshape_stride32: None
   
   or
   ```
   sym1 = mx.sym.Variable('face_rpn_cls_prob_reshape_stride32')
   group= sym1.get_internals()
   
   mod = mx.mod.Module(symbol=group, context=mx.gpu(0), label_names=None)
   ```
   
   ValueError: You created Module with Module(..., data_names=['data']) but input with name 'data' is not found in symbol.list_arguments(). Did you mean one of:
   	face_rpn_cls_prob_reshape_stride32
   
   
   I always encounter these  problems when using .get_internals () and mx.symbol.Group (),Using the output face_rpn_cls_prob_reshape_stride32_output will also have an error. how do I need to do it? thank you very much.
   
   
   
   
   

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[GitHub] [incubator-mxnet] float123 closed issue #17892: How to get the output of the specified layer？

[GitBox <gi...@apache.org>]

float123 closed issue #17892: How to get the output of the specified layer？
URL: https://github.com/apache/incubator-mxnet/issues/17892
 
 
   

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