Python DeepLab:InvalidArgumeInterror:Nodededef提到了attr';扩张';不在Op<;name=Conv2D;

Python DeepLab:InvalidArgumeInterror:Nodededef提到了attr';扩张';不在Op<;name=Conv2D;,python,tensorflow,machine-learning,computer-vision,semantic-segmentation,Python,Tensorflow,Machine Learning,Computer Vision,Semantic Segmentation,在尝试(a)的语义图像分割演示时,我遇到了以下错误: running deeplab on image https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/img/image1.jpg?raw=true... --------------------------------------------------------------------------- InvalidArgumentError

在尝试(a)的语义图像分割演示时,我遇到了以下错误:

running deeplab on image https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/img/image1.jpg?raw=true...
---------------------------------------------------------------------------
InvalidArgumentError                      Traceback (most recent call last)
<ipython-input-4-c8336c0ddcd6> in <module>()
     25 
     26 image_url = IMAGE_URL or _SAMPLE_URL % SAMPLE_IMAGE
---> 27 run_visualization(image_url)

<ipython-input-4-c8336c0ddcd6> in run_visualization(url)
     19 
     20   print 'running deeplab on image %s...' % url
---> 21   resized_im, seg_map = MODEL.run(orignal_im)
     22 
     23   vis_segmentation(resized_im, seg_map)

<ipython-input-2-c1ac870c1e95> in run(self, image)
     49     batch_seg_map = self.sess.run(
     50         self.OUTPUT_TENSOR_NAME,
---> 51         feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(resized_image)]})
     52     seg_map = batch_seg_map[0]
     53     return resized_image, seg_map

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)
    887     try:
    888       result = self._run(None, fetches, feed_dict, options_ptr,
--> 889                          run_metadata_ptr)
    890       if run_metadata:
    891         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)
   1118     if final_fetches or final_targets or (handle and feed_dict_tensor):
   1119       results = self._do_run(handle, final_targets, final_fetches,
-> 1120                              feed_dict_tensor, options, run_metadata)
   1121     else:
   1122       results = []

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
   1315     if handle is None:
   1316       return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1317                            options, run_metadata)
   1318     else:
   1319       return self._do_call(_prun_fn, self._session, handle, feeds, fetches)

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args)
   1334         except KeyError:
   1335           pass
-> 1336       raise type(e)(node_def, op, message)
   1337 
   1338   def _extend_graph(self):

InvalidArgumentError: NodeDef mentions attr 'dilations' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: MobilenetV2/Conv/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](sub_7, MobilenetV2/Conv/weights). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
     [[Node: MobilenetV2/Conv/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](sub_7, MobilenetV2/Conv/weights)]]

Caused by op u'MobilenetV2/Conv/Conv2D', defined at:
  File "/usr/lib/python2.7/runpy.py", line 174, in _run_module_as_main
    "__main__", fname, loader, pkg_name)
  File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
    exec code in run_globals
  File "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py", line 16, in <module>
    app.launch_new_instance()
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 658, in launch_instance
    app.start()
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelapp.py", line 478, in start
    self.io_loop.start()
  File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/ioloop.py", line 177, in start
    super(ZMQIOLoop, self).start()
  File "/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py", line 888, in start
    handler_func(fd_obj, events)
  File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 277, in null_wrapper
    return fn(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
    self._handle_recv()
  File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
    self._run_callback(callback, msg)
  File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
    callback(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 277, in null_wrapper
    return fn(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 281, in dispatcher
    return self.dispatch_shell(stream, msg)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 232, in dispatch_shell
    handler(stream, idents, msg)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 397, in execute_request
    user_expressions, allow_stdin)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/ipkernel.py", line 208, in do_execute
    res = shell.run_cell(code, store_history=store_history, silent=silent)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/zmqshell.py", line 533, in run_cell
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2718, in run_cell
    interactivity=interactivity, compiler=compiler, result=result)
  File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2822, in run_ast_nodes
    if self.run_code(code, result):
  File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2882, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-3-9b57c985b5f0>", line 27, in <module>
    MODEL = DeepLabModel(download_path)
  File "<ipython-input-2-c1ac870c1e95>", line 31, in __init__
    tf.import_graph_def(graph_def, name='')
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/importer.py", line 313, in import_graph_def
    op_def=op_def)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2956, in create_op
    op_def=op_def)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1470, in __init__
    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): NodeDef mentions attr 'dilations' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: MobilenetV2/Conv/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](sub_7, MobilenetV2/Conv/weights). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
     [[Node: MobilenetV2/Conv/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](sub_7, MobilenetV2/Conv/weights)]]
在映像上运行deeplabhttps://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/img/image1.jpg?raw=true...
---------------------------------------------------------------------------
InvalidArgumentError回溯(最后一次最近调用)
在()
25
26 image\u url=image\u url或_SAMPLE\u url%SAMPLE\u image
--->27运行可视化(图像url)
运行中可视化(url)
19
20打印“在图像%s上运行deeplab…”%url
--->21调整大小的im,seg\u map=MODEL.run(原始im)
22
23视觉分割(调整大小的图像、分段图)
运行中(自我、图像)
49批次seg映射=self.sess.run(
50自输出张量名称,
--->51 feed_dict={self.INPUT_TENSOR_NAME:[np.asarray(调整大小的_图像)])
52分段图=批次分段图[0]
53返回调整大小的_图像,seg_映射
/运行中的usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc(self、fetches、feed\u dict、options、run\u元数据)
887尝试:
888结果=self.\u运行(无、获取、馈送、选项、,
-->889运行(元数据)
890如果运行\u元数据:
891 proto_data=tf_session.tf_GetBuffer(运行元数据ptr)
/运行中的usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc(self、handle、fetches、feed、dict、options、run\u元数据)
1118如果final_获取或final_目标或(句柄和馈送dict_张量):
1119 results=self.\u do\u run(句柄、最终目标、最终获取、,
->1120提要(dict张量、选项、运行元数据)
1121其他:
1122结果=[]
/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in_do_运行(self、handle、target_列表、fetch_列表、feed_dict、options、run_元数据)
1315如果句柄为无:
1316返回self.\u do\u call(\u run\u fn,self.\u会话,提要,获取,目标,
->1317选项,运行(元数据)
1318其他:
1319返回self.\u do\u调用(\u prun\u fn,self.\u会话、句柄、提要、获取)
/调用中的usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc(self,fn,*args)
1334键错误除外:
1335通行证
->1336提升类型(e)(节点定义、操作、消息)
1337
1338定义扩展图(自):
InvalidArgumentError:NodeDef在Op输出中未提及attr“扩张”:T;attr=T:type,allowed=[DT_HALF,DT_FLOAT];attr=步幅:列表(int);attr=use\u cudnn\u on\u gpu:bool,默认值=true;attr=padding:string,allowed=[“相同”,“有效”];attr=data_格式:string,default=“NHWC”,allowed=[“NHWC”,“NCHW”]>;nodedeef:mobilenetw2/Conv/Conv2D=Conv2D[T=DT\u FLOAT,data\u format=“NHWC”,dillations=[1,1,1,1],padding=“SAME”,strips=[1,2,2,1],在\u gpu=true,\u device=“/job:localhost/replica:0/task:0/device:CPU:0”](sub\u 7,mobilenetw2/Conv/weights)。(检查GraphDef解释二进制文件是否与GraphDef生成二进制文件一起处于最新状态。)。
[[Node:MobilenetV2/Conv/Conv2D=Conv2D[T=DT_FLOAT,data_format=“NHWC”,dillations=[1,1,1,1],padding=“SAME”,strips=[1,2,2,1],在[u gpu=true,[u device=“/job:localhost/replica:0/task:0/device:CPU:0”](sub_7,MobilenetV2/Conv/weights)]]
由op u'MobileNet v2/Conv/Conv2D'引起,定义于:
文件“/usr/lib/python2.7/runpy.py”,第174行,在运行模块中作为主模块
“\uuuuu main\uuuuuuuuuuuuuuuuuuuuuuuuu”,fname,loader,pkg\u name)
文件“/usr/lib/python2.7/runpy.py”,第72行,在运行代码中
run_globals中的exec代码
文件“/usr/local/lib/python2.7/dist packages/ipykernel_launcher.py”,第16行,在
app.launch_new_instance()
文件“/usr/local/lib/python2.7/dist packages/traitlets/config/application.py”,第658行,在launch_实例中
app.start()
文件“/usr/local/lib/python2.7/dist-packages/ipykernel/kernelapp.py”,第478行,开始
self.io_loop.start()
文件“/usr/local/lib/python2.7/dist-packages/zmq/eventloop/ioloop.py”,第177行,开头
super(ZMQIOLoop,self).start()
文件“/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py”,第888行,开头
handler_func(fd_obj,事件)
文件“/usr/local/lib/python2.7/dist packages/tornado/stack\u context.py”,第277行,在空包装中
返回fn(*args,**kwargs)
文件“/usr/local/lib/python2.7/dist packages/zmq/eventloop/zmqstream.py”,第440行,在事件处理中
self.\u handle\u recv()
文件“/usr/local/lib/python2.7/dist packages/zmq/eventloop/zmqstream.py”,第472行,位于
self.\u运行\u回调(回调,消息)
文件“/usr/local/lib/python2.7/dist packages/zmq/eventloop/zmqstream.py”,第414行,在运行回调中
回调(*args,**kwargs)
文件“/usr/local/lib/python2.7/dist packages/tornado/stack\u context.py”,第277行,在空包装中
返回fn(*args,**kwargs)
dispatcher中的文件“/usr/local/lib/python2.7/dist packages/ipykernel/kernelbase.py”,第281行
返回self.dispatch\u shell(流,消息)
文件“/usr/local/lib/python2.7/dist packages/ipykernel/kernelbase.py”,第232行,在dispatch_shell中
处理程序(流、标识、消息)
文件“/usr/local/lib/python2.7/dist packages/ipykernel/kernelbase.py”,第397行,在执行请求中
用户\u表达式,允许\u stdin)
文件“/usr/local/lib/python2.7/dist packages/ipykernel/ipkernel.py”,第208行,在do_execute中
res=shell.run\u单元格(代码,store\u history=store\u history,silent=silent)
文件“/usr/local/lib/python2.7/dist packages/ipykernel/zmqshell.py”,第533行,位于运行单元中
返回超级(ZMQInteractiveShell,self)。运行单元格(*args,**kwargs)
文件“/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py”,第2718行,在运行单元中
交互性=交互性,编译器=编译器,结果=结果)
文件“/usr/local/lib/python2.7/dist packages/IPython/core/interactiveshell.py”,第2822行,在run\u ast\u节点中