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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/05/23 12:08:12 UTC
[GitHub] HyperGroups opened a new issue #11032: Problem with load lstm model
with mx.Module's bind
HyperGroups opened a new issue #11032: Problem with load lstm model with mx.Module's bind
URL: https://github.com/apache/incubator-mxnet/issues/11032
test model is in my Repo
MachineLearning/mxnet/python/1.0/model-wolfram/
model={wolfram.lstm.json, wolfram.lstm-0000.params}
script is in {wolfram_v2/wolfram.lstm.py}
```
import mxnet as mx
import numpy as np
model_prefix='/Users/hypergroups/Nutstore/ProjectsOnline/MyProjects/MXNetFinal/1.0/model-wolfram/wolfram.lstm'
# model_prefix='/home/hypergroups/Nutstore/ProjectsOnline/MyProjects/MXNetFinal/1.0/model-wolfram/wolfram.lstm'
ctx=mx.cpu()
sym, arg_params, aux_params = mx.model.load_checkpoint(model_prefix, 0)
mod = mx.mod.Module(symbol=sym, context=ctx,
data_names=['Input'],
label_names=None)
arg_params['4.State']=mx.nd.array([[0,0,0,0,0]])
arg_params['4.CellState']=mx.nd.array([[0,0,0,0,0]])
mod.bind(for_training=False, data_shapes=[('Input', (1,2))],
label_shapes=None)
# label_shapes=mod._label_shapes)
mod.set_params(arg_params, aux_params, allow_missing=True)
```
the model was trained by Mathematica in MXNet Version 1.0.1
and can be load by MXNet-Python with the another version code in MXNet Version.
### Error Info is
```
/Users/hypergroups/anaconda2/bin/python /Users/hypergroups/Nutstore/ProjectsOnline/MyProjects/MXNetFinal/1.0/script/wolfram_v2/wolfram.lstm.py
/Users/hypergroups/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
/Users/hypergroups/anaconda2/lib/python2.7/site-packages/urllib3/contrib/pyopenssl.py:46: DeprecationWarning: OpenSSL.rand is deprecated - you should use os.urandom instead
import OpenSSL.SSL
[19:44:03] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v1.0.1. Attempting to upgrade...
[19:44:03] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded!
Traceback (most recent call last):
File "/Users/hypergroups/Nutstore/ProjectsOnline/MyProjects/MXNetFinal/1.0/script/wolfram_v2/wolfram.lstm.py", line 16, in <module>
label_shapes=None)
File "/Users/hypergroups/anaconda2/lib/python2.7/site-packages/mxnet/module/module.py", line 430, in bind
state_names=self._state_names)
File "/Users/hypergroups/anaconda2/lib/python2.7/site-packages/mxnet/module/executor_group.py", line 265, in __init__
self.bind_exec(data_shapes, label_shapes, shared_group)
File "/Users/hypergroups/anaconda2/lib/python2.7/site-packages/mxnet/module/executor_group.py", line 361, in bind_exec
shared_group))
File "/Users/hypergroups/anaconda2/lib/python2.7/site-packages/mxnet/module/executor_group.py", line 639, in _bind_ith_exec
shared_buffer=shared_data_arrays, **input_shapes)
File "/Users/hypergroups/anaconda2/lib/python2.7/site-packages/mxnet/symbol/symbol.py", line 1519, in simple_bind
raise RuntimeError(error_msg)
RuntimeError: simple_bind error. Arguments:
Input: (1, 2)
[19:44:03] src/executor/graph_executor.cc:456: InferShape pass cannot decide shapes for the following arguments (0s means unknown dimensions). Please consider providing them as inputs:
4.State: [],
Stack trace returned 8 entries:
[bt] (0) 0 libmxnet.so 0x00000001065513b4 libmxnet.so + 21428
[bt] (1) 1 libmxnet.so 0x000000010655116f libmxnet.so + 20847
[bt] (2) 2 libmxnet.so 0x00000001076123a4 MXNDListFree + 188484
[bt] (3) 3 libmxnet.so 0x000000010761d9a7 MXNDListFree + 235079
[bt] (4) 4 libmxnet.so 0x000000010762116a MXNDListFree + 249354
[bt] (5) 5 libmxnet.so 0x00000001075b19b0 MXExecutorSimpleBind + 8656
[bt] (6) 6 libffi.6.dylib 0x0000000104898884 ffi_call_unix64 + 76
[bt] (7) 7 ??? 0x00007ffeeb6ddd10 0x0 + 140732848266512
Process finished with exit code 1
```
### Without lstm
code verson
'wolfram/v1/wolfram.no_lstm.py'
'wolfram/v1/wolfram.no_lstm.py'
'wolfram/v2/wolfram.no_lstm.py'
can give the correct results.
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