我正在尝试构建一个使用tensorflow模型进行图像识别的对象检测器，但由于此错误，我无法使其工作。我是GPU的新手，所以如果能提供详细的帮助，我将不胜感激。
----> 2 show_inference(detection_model, image_path)
<ipython-input-15-e474e557b383> in show_inference(model, image_path)
4 image_np = np.array(Image.open(image_path))
5 # Actual detection.
----> 6 output_dict = run_inference_for_single_image(model, image_np)
7 # Visualization of the results of a detection.
8 vis_util.visualize_boxes_and_labels_on_image_array(
<ipython-input-14-4110867dcb70> in run_inference_for_single_image(model, image)
7
8 # Run inference
----> 9 output_dict = model(input_tensor)
10
11 # All outputs are batches tensors.
D:pythonlibsite-packagestensorflow_corepythoneagerfunction.py in __call__(self, *args, **kwargs)
1549 TypeError: For invalid positional/keyword argument combinations.
1550 """
-> 1551 return self._call_impl(args, kwargs)
1552
1553 def _call_impl(self, args, kwargs, cancellation_manager=None):
D:pythonlibsite-packagestensorflow_corepythoneagerfunction.py in _call_impl(self, args, kwargs, cancellation_manager)
1589 raise TypeError("Keyword arguments {} unknown. Expected {}.".format(
1590 list(kwargs.keys()), list(self._arg_keywords)))
-> 1591 return self._call_flat(args, self.captured_inputs, cancellation_manager)
1592
1593 def _filtered_call(self, args, kwargs):
D:pythonlibsite-packagestensorflow_corepythoneagerfunction.py in _call_flat(self, args, captured_inputs, cancellation_manager)
1690 # No tape is watching; skip to running the function.
1691 return self._build_call_outputs(self._inference_function.call(
-> 1692 ctx, args, cancellation_manager=cancellation_manager))
1693 forward_backward = self._select_forward_and_backward_functions(
1694 args,
D:pythonlibsite-packagestensorflow_corepythoneagerfunction.py in call(self, ctx, args, cancellation_manager)
543 inputs=args,
544 attrs=("executor_type", executor_type, "config_proto", config),
--> 545 ctx=ctx)
546 else:
547 outputs = execute.execute_with_cancellation(
D:pythonlibsite-packagestensorflow_corepythoneagerexecute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
65 else:
66 message = e.message
---> 67 six.raise_from(core._status_to_exception(e.code, message), None)
68 except TypeError as e:
69 keras_symbolic_tensors = [
~AppDataRoamingPythonPython37site-packagessix.py in raise_from(value, from_value)
UnknownError: 2 root error(s) found.
(0) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[node FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/batchnorm/mul_1 (defined at <ipython-input-7-f8a3c92a04a4>:11) ]]
[[Postprocessor/BatchMultiClassNonMaxSuppression/mul/_54]]
(1) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[node FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/batchnorm/mul_1 (defined at <ipython-input-7-f8a3c92a04a4>:11) ]]
0 successful operations.
0 derived errors ignored. [Op:__inference_pruned_16996]
Function call stack:
pruned -> pruned
我有tesorflow版本：2.1.0
Cuda版本：10.2
CUDNN版本：7.6.5
我也遇到过这个问题。我不确定原因，但我怀疑这与GPU内存有关。当我有太多python实例运行时，我注意到我会出现这个错误。当我杀死其他python实例时，错误就会消失。因此，请尝试只运行一个python实例。当我使用pip安装Tensorflow 2时，我也遇到了类似的问题。如果错误仍然存在，请卸载Tensorflow 2，然后使用Conda重新安装它。Conda会自动安装所有GPU依赖项CUDA和CUDNN。