[GitHub] HyperGroups commented on issue #11032: Problem with load lstm model with mx.Module's bind

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

HyperGroups commented on issue #11032: Problem with load lstm model with mx.Module's bind
URL: https://github.com/apache/incubator-mxnet/issues/11032#issuecomment-393391621
 
 
   @reminisce  I've add the [model link]
   
   In this method[here](MachineLearning/mxnet/python/1.0/script/wolfram_v1/wolfram.lstm.py), manually set some states params,
   
   
   ```
   import sys
   sys.path.append('..')
   # sys.path.append('../../')
   import numpy as np
   import PIL
   import os
   from myPath import *
   
   if __name__=='__main__':
       ctx=mx.cpu()
       from myPath import *
       file_sym=os.path.join(root_dir, 'model-wolfram/wolfram.lstm-symbol.json')
       file_nd=os.path.join(root_dir, 'model-wolfram/wolfram.lstm-0000.params')
   
       _sym= mx.symbol.load(file_sym)
       _nd= mx.nd.load(file_nd)
   
       _nd['4.State']=mx.nd.array([[0,0,0,0,0]])
       _nd['4.CellState']=mx.nd.array([[0,0,0,0,0]])
   
       input_data=np.array([[1,2]])
       print 'input_data', input_data
       array = mx.nd.array(input_data)
   
       _nd["Input"] = array
       _e = _sym.bind(ctx, _nd)
   
       _out = _e.forward()
       prob = _out[0].asnumpy()
       prob = np.squeeze(prob)
       print 'prob', prob
   ```

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