[GitHub] szha opened a new issue #12404: init.Constant does not work in Gluon parameter

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

szha opened a new issue #12404: init.Constant does not work in Gluon parameter
URL: https://github.com/apache/incubator-mxnet/issues/12404
 
 
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   ## Description
   init.Constant fails 
   
   ## Minimum reproducible example
   ```python
   import mxnet as mx
   from mxnet import gluon
   net = gluon.nn.Dense(5)
   import numpy as np
   net = gluon.nn.Dense(5, weight_initializer=mx.init.Constant(np.ones((5, 5))))
   net.initialize()
   net.hybridize()
   net(mx.nd.ones((5, 5)))
   
   ---------------------------------------------------------------------------
   TypeError                                 Traceback (most recent call last)
   <ipython-input-7-812f6ff55149> in <module>()
   ----> 1 net(mx.nd.ones((5, 5)))
   
   mxnet/python/mxnet/gluon/block.py in __call__(self, *args)
       539             hook(self, args)
       540
   --> 541         out = self.forward(*args)
       542
       543         for hook in self._forward_hooks.values():
   
   mxnet/python/mxnet/gluon/block.py in forward(self, x, *args)
       906             with x.context as ctx:
       907                 if self._active:
   --> 908                     return self._call_cached_op(x, *args)
       909
       910                 try:
   
   mxnet/python/mxnet/gluon/block.py in _call_cached_op(self, *args)
       796     def _call_cached_op(self, *args):
       797         if self._cached_op is None:
   --> 798             self._build_cache(*args)
       799
       800         args, fmt = _flatten(args, "input")
   
   mxnet/python/mxnet/gluon/block.py in _build_cache(self, *args)
       748
       749     def _build_cache(self, *args):
   --> 750         data, out = self._get_graph(*args)
       751         data_names = {data.name : i for i, data in enumerate(data)}
       752         params = self.collect_params()
   
   mxnet/python/mxnet/gluon/block.py in _get_graph(self, *args)
       738             grouped_inputs = _regroup(inputs, self._in_format)[0]
       739
   --> 740             params = {i: j.var() for i, j in self._reg_params.items()}
       741             with self.name_scope():
       742                 out = self.hybrid_forward(symbol, *grouped_inputs, **params)  # pylint: disable=no-value-for-parameter
   
   mxnet/python/mxnet/gluon/block.py in <dictcomp>(.0)
       738             grouped_inputs = _regroup(inputs, self._in_format)[0]
       739
   --> 740             params = {i: j.var() for i, j in self._reg_params.items()}
       741             with self.name_scope():
       742                 out = self.hybrid_forward(symbol, *grouped_inputs, **params)  # pylint: disable=no-value-for-parameter
   
   mxnet/python/mxnet/gluon/parameter.py in var(self)
       553             self._var = symbol.var(self.name, shape=self.shape, dtype=self.dtype,
       554                                    lr_mult=self.lr_mult, wd_mult=self.wd_mult,
   --> 555                                    init=self.init, stype=self._stype)
       556         return self._var
       557
   
   mxnet/python/mxnet/symbol/symbol.py in var(name, attr, shape, lr_mult, wd_mult, dtype, init, stype, **kwargs)
      2516     if init is not None:
      2517         if not isinstance(init, string_types):
   -> 2518             init = init.dumps()
      2519         attr['__init__'] = init
      2520     if stype is not None:
   
   mxnet/python/mxnet/initializer.py in dumps(self)
       113         '["xavier", {"rnd_type": "uniform", "magnitude": 2.34, "factor_type": "in"}]'
       114         """
   --> 115         return json.dumps([self.__class__.__name__.lower(), self._kwargs])
       116
       117     def __call__(self, desc, arr):
   
   /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/__init__.py in dumps(obj, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw)
       229         cls is None and indent is None and separators is None and
       230         default is None and not sort_keys and not kw):
   --> 231         return _default_encoder.encode(obj)
       232     if cls is None:
       233         cls = JSONEncoder
   
   /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/encoder.py in encode(self, o)
       197         # exceptions aren't as detailed.  The list call should be roughly
       198         # equivalent to the PySequence_Fast that ''.join() would do.
   --> 199         chunks = self.iterencode(o, _one_shot=True)
       200         if not isinstance(chunks, (list, tuple)):
       201             chunks = list(chunks)
   
   /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/encoder.py in iterencode(self, o, _one_shot)
       255                 self.key_separator, self.item_separator, self.sort_keys,
       256                 self.skipkeys, _one_shot)
   --> 257         return _iterencode(o, 0)
       258
       259 def _make_iterencode(markers, _default, _encoder, _indent, _floatstr,
   
   /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/json/encoder.py in default(self, o)
       177
       178         """
   --> 179         raise TypeError(f'Object of type {o.__class__.__name__} '
       180                         f'is not JSON serializable')
       181
   
   TypeError: Object of type ndarray is not JSON serializable
   ```

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