nervanasystems / modelzoo Goto Github PK

2016-04-11 20:42:40,144 - neon.models.model - WARNING - Problems restoring existing RNG state: algorithm must be 'MT19937'
Traceback (most recent call last):
  File "/home/iaroslav/neon-examples/googlenet/demo.py", line 103, in <module>
    model.initialize(test, cost)
  File "/usr/local/lib/python2.7/dist-packages/neon/models/model.py", line 100, in initialize
    prev_input = self.layers.configure(prev_input)
  File "/usr/local/lib/python2.7/dist-packages/neon/layers/container.py", line 257, in configure
    self.layers[0].configure(in_obj)
  File "/usr/local/lib/python2.7/dist-packages/neon/layers/container.py", line 127, in configure
    in_obj = l.configure(in_obj)
  File "/usr/local/lib/python2.7/dist-packages/neon/layers/layer.py", line 615, in configure
    assert isinstance(self.in_shape, tuple)
AssertionError

In [15]: train = ImageLoader(set_name='train', shuffle=True, do_transforms=True, **imgset_options)
libdc1394 error: Failed to initialize libdc1394
---------------------------------------------------------------------------
ArgumentError                             Traceback (most recent call last)
<ipython-input-15-c033fd957d22> in <module>()
----> 1 train = ImageLoader(set_name='train', shuffle=True, do_transforms=True, **imgset_options)

/usr/local/lib/python2.7/dist-packages/neon/data/imageloader.pyc in __init__(self, repo_dir, inner_size, scale_range, do_transforms, rgb, shuffle, set_name, subset_pct, nlabels, macro, contrast_range, aspect_ratio)
    105                                           target_size=1, reshuffle=shuffle,
    106                                           nclasses=self.nclass,
--> 107                                           subset_percent=subset_pct)
    108
    109     def configure(self, repo_dir, set_name, subset_pct):

/usr/local/lib/python2.7/dist-packages/neon/data/dataloader.pyc in __init__(self, set_name, repo_dir, media_params, target_size, index_file, shuffle, reshuffle, datum_dtype, target_dtype, onehot, nclasses, subset_percent, ingest_params)
     85         self.ingest_params = ingest_params
     86         self.load_library()
---> 87         self.alloc()
     88         self.start()
     89         atexit.register(self.stop)

/usr/local/lib/python2.7/dist-packages/neon/data/dataloader.pyc in alloc(self)
    110             return BufferPair(ct_cast(buffers, 0), ct_cast(buffers, 1))
    111
--> 112         self.data = alloc_bufs(self.datum_size, self.datum_dtype)
    113         self.targets = alloc_bufs(self.target_size, self.target_dtype)
    114         self.device_params = DeviceParams(self.be.device_type,

/usr/local/lib/python2.7/dist-packages/neon/data/dataloader.pyc in alloc_bufs(dim0, dtype)
    102
    103         def alloc_bufs(dim0, dtype):
--> 104             return [self.be.iobuf(dim0=dim0, dtype=dtype) for _ in range(2)]
    105
    106         def ct_cast(buffers, idx):

/usr/local/lib/python2.7/dist-packages/neon/backends/backend.pyc in iobuf(self, dim0, x, dtype, name, persist_values, shared, parallelism)
    549
    550         if persist_values and shared is None:
--> 551             out_tsr[:] = 0
    552
    553         return out_tsr

/usr/local/lib/python2.7/dist-packages/neon/backends/nervanagpu.pyc in __setitem__(self, index, value)
    178     def __setitem__(self, index, value):
    179
--> 180         self.__getitem__(index)._assign(value)
    181
    182     def __getitem__(self, index):

/usr/local/lib/python2.7/dist-packages/neon/backends/nervanagpu.pyc in _assign(self, value)
    339                 if self.dtype.itemsize == 1:
    340                     drv.memset_d8_async(
--> 341                         self.gpudata, unpack_from('B', value)[0], self.size, stream)
    342                 elif self.dtype.itemsize == 2:
    343                     drv.memset_d16_async(

ArgumentError: Python argument types in
    pycuda._driver.memset_d8_async(NoneType, int, int, NoneType)
did not match C++ signature:
    memset_d8_async(unsigned long long dest, unsigned char data, unsigned int size, pycudaboost::python::api::object stream=None)

In [1]: import os
   ...: import numpy as np
   ...: import pickle as pkl
   ...: 
   ...: import json
   ...: # from aeon import DataLoader
   ...: from aeon.dataloader import DataLoader
   ...: from neon.backends import gen_backend
   ...: from neon.util.argparser import NeonArgparser, extract_valid_args
   ...: from neon.models import Model
   ...: from neon.data.dataloader_transformers import TypeCast, Retuple
   ...: 
   ...: from decoder import ArgMaxDecoder
   ...: from utils import get_wer
   ...: 
DISPLAY:neon:mklEngine.so not found; falling back to cpu backend

In [2]: model_file = 'librispeech_16_epochs.prm'

In [3]: Model(model_file)
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-3-476a66425bb7> in <module>()
----> 1 Model(model_file)

/Users/kni/Tools/miniconda3/envs/neon-2.7/lib/python2.7/site-packages/neon-2.1.0-py2.7.egg/neon/models/model.pyc in __init__(self, layers, dataset, weights_only, name, optimizer)
     70             self.deserialize(layers, load_states=(not weights_only))
     71         elif isinstance(layers, (str, bytes)):
---> 72             self.load_params(layers, load_states=(not weights_only))
     73         else:
     74             # Wrap the list of layers in a Sequential container if a raw list of layers

/Users/kni/Tools/miniconda3/envs/neon-2.7/lib/python2.7/site-packages/neon-2.1.0-py2.7.egg/neon/models/model.pyc in load_params(self, param_path, load_states)
    412                                  states as well
    413         """
--> 414         self.deserialize(load_obj(param_path), load_states=load_states)
    415         logger.info('Model weights loaded from %s', param_path)
    416 

/Users/kni/Tools/miniconda3/envs/neon-2.7/lib/python2.7/site-packages/neon-2.1.0-py2.7.egg/neon/models/model.pyc in deserialize(self, model_dict, data, load_states)
    463         if 'backend' in model_dict:
    464             if 'compat_mode' in model_dict['backend']:
--> 465                 self.be.compat_mode = model_dict['backend']['compat_mode']
    466         else:
    467             model_dict['backend'] = {}

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

This set of weights was trained using the [train.py](/home/jenkins/jenkins_backup_6_2_2016.tar.gz) script for 20 epochs and reaches a mAP of 0.56 on the vaidation data set.