在尝试使用DeepLab（演示链接）进行语义图像分割时，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提到了属性'dilations'，但在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"]>中不存在；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)。(请检查您的GraphDef解释二进制文件是否与生成GraphDef的二进制文件保持最新。)     [[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)]]由操作u'MobilenetV2/Conv/Conv2D'引起，定义于：  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-accessInvalidArgumentError（请查看上面的跟踪信息）：NodeDef提到了属性'dilations'，但在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"]>中不存在；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)。(请检查您的GraphDef解释二进制文件是否与生成GraphDef的二进制文件保持最新。)     [[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)]]

我的当前配置是12GB RAM，4GB GPU，但我认为这不是硬件需求的问题，因为我只是在测试模型

TensorFlow版本是1.4.0

回答：

由于TensorFlow 1.5.0-rc1版本添加了“任意膨胀”功能，因此TensorFlow的版本应该高于这个版本。

请访问这个页面并搜索’dilations’，你会看到相关信息。