please help to run pylearn2

[Amila Deepal]

I try to run pylearn2 tutorial: Softmax regression using my notebook.
but i run

from pylearn2.config import yaml_parse
train = yaml_parse.load(train)
train.main_loop()

this code in my notebook i got Error.How to solve this

Please help


---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-6-a29d25125a51> in <module>()
      1 from pylearn2.config import yaml_parse
----> 2 train = yaml_parse.load(train)
      3 train.main_loop()

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/config/yaml_parse.pyc in load(stream, environ, instantiate, **kwargs)
    209         string = stream.read()
    210 
--> 211     proxy_graph = yaml.load(string, **kwargs)
    212     if instantiate:
    213         return _instantiate(proxy_graph)

/usr/lib/python2.7/dist-packages/yaml/__init__.pyc in load(stream, Loader)
     69     loader = Loader(stream)
     70     try:
---> 71         return loader.get_single_data()
     72     finally:
     73         loader.dispose()

/usr/lib/python2.7/dist-packages/yaml/constructor.pyc in get_single_data(self)
     37         node = self.get_single_node()
     38         if node is not None:
---> 39             return self.construct_document(node)
     40         return None
     41 

/usr/lib/python2.7/dist-packages/yaml/constructor.pyc in construct_document(self, node)
     41 
     42     def construct_document(self, node):
---> 43         data = self.construct_object(node)
     44         while self.state_generators:
     45             state_generators = self.state_generators

/usr/lib/python2.7/dist-packages/yaml/constructor.pyc in construct_object(self, node, deep)
     88             data = constructor(self, node)
     89         else:
---> 90             data = constructor(self, tag_suffix, node)
     91         if isinstance(data, types.GeneratorType):
     92             generator = data

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/config/yaml_parse.pyc in multi_constructor_obj(loader, tag_suffix, node)
    356     yaml_src = yaml.serialize(node)
    357     construct_mapping(node)
--> 358     mapping = loader.construct_mapping(node)
    359 
    360     assert hasattr(mapping, 'keys')

/usr/lib/python2.7/dist-packages/yaml/constructor.pyc in construct_mapping(self, node, deep)
    206         if isinstance(node, MappingNode):
    207             self.flatten_mapping(node)
--> 208         return BaseConstructor.construct_mapping(self, node, deep=deep)
    209 
    210     def construct_yaml_null(self, node):

/usr/lib/python2.7/dist-packages/yaml/constructor.pyc in construct_mapping(self, node, deep)
    131                 raise ConstructorError("while constructing a mapping", node.start_mark,
    132                         "found unacceptable key (%s)" % exc, key_node.start_mark)
--> 133             value = self.construct_object(value_node, deep=deep)
    134             mapping[key] = value
    135         return mapping

/usr/lib/python2.7/dist-packages/yaml/constructor.pyc in construct_object(self, node, deep)
     88             data = constructor(self, node)
     89         else:
---> 90             data = constructor(self, tag_suffix, node)
     91         if isinstance(data, types.GeneratorType):
     92             generator = data

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/config/yaml_parse.pyc in multi_constructor_obj(loader, tag_suffix, node)
    370         callable = eval(tag_suffix)
    371     else:
--> 372         callable = try_to_import(tag_suffix)
    373     rval = Proxy(callable=callable, yaml_src=yaml_src, positionals=(),
    374                  keywords=mapping)

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/config/yaml_parse.pyc in try_to_import(tag_suffix)
    297                         base_msg += ' but could import %s' % modulename
    298                     reraise_as(ImportError(base_msg + '. Original exception: '
--> 299                                            + str(e)))
    300                 j += 1
    301     try:

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/utils/exc.pyc in reraise_as(new_exc)
     88     new_exc.__cause__ = orig_exc_value
     89     new_exc.reraised = True
---> 90     six.reraise(type(new_exc), new_exc, orig_exc_traceback)

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/config/yaml_parse.pyc in try_to_import(tag_suffix)
    290                 modulename = '.'.join(pcomponents[:j])
    291                 try:
--> 292                     exec('import %s' % modulename)
    293                 except Exception:
    294                     base_msg = 'Could not import %s' % modulename

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/config/yaml_parse.pyc in <module>()

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/models/softmax_regression.py in <module>()
     13 __maintainer__ = "LISA Lab"
     14 
---> 15 from pylearn2.models import mlp
     16 
     17 class SoftmaxRegression(mlp.MLP):

/home/amila/Documents/Algorithm/git/pylearn2/pylearn2/models/mlp.py in <module>()
     20 from theano.gof.op import get_debug_values
     21 from theano.sandbox.rng_mrg import MRG_RandomStreams
---> 22 from theano.sandbox.cuda.dnn import dnn_available, dnn_pool
     23 from theano.tensor.signal.downsample import max_pool_2d
     24 import theano.tensor as T

ImportError: Could not import pylearn2.models.softmax_regression but could import pylearn2.models. Original exception: No module named dnn

Original exception:
        ImportError: No module named dnn