解决：Failed to get convolution algorithm.

解决：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. [Op:Conv2D]

• ​​报错如下​​
• ​​解决方法​​

报错如下

Traceback (most recent call last):
  File "detect.py", line 79, in <module>
    app.run(main)
  File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 303, in run
    _run_main(main, args)
  File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 251, in _run_main
    sys.exit(main(argv))
  File "detect.py", line 55, in main
    boxes, scores, classes, nums = yolo(img)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/base_layer.py", line 891, in __call__
    outputs = self.call(cast_inputs, *args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/network.py", line 708, in call
    convert_kwargs_to_constants=base_layer_utils.call_context().saving)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/network.py", line 860, in _run_internal_graph
    output_tensors = layer(computed_tensors, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/base_layer.py", line 891, in __call__
    outputs = self.call(cast_inputs, *args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/network.py", line 708, in call
    convert_kwargs_to_constants=base_layer_utils.call_context().saving)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/network.py", line 860, in _run_internal_graph
    output_tensors = layer(computed_tensors, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/base_layer.py", line 891, in __call__
    outputs = self.call(cast_inputs, *args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/layers/convolutional.py", line 201, in call
    outputs = self._convolution_op(inputs, self.kernel)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/nn_ops.py", line 1176, in __call__
    return self.conv_op(inp, filter)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/nn_ops.py", line 662, in __call__
    return self.call(inp, filter)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/nn_ops.py", line 252, in __call__
    name=self.name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/nn_ops.py", line 2052, in conv2d
    name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_nn_ops.py", line 1031, in conv2d
    data_format=data_format, dilations=dilations, name=name, ctx=_ctx)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_nn_ops.py", line 1130, in conv2d_eager_fallback
    ctx=_ctx, name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/eager/execute.py", line 67, in quick_execute
    six.raise_from(core._status_to_exception(e.code, message), None)
  File "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.UnknownError: 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. [Op:Conv2D]

解决方法

在代码前，添加如下语句：

import os
os.environ['CUDA_VISIBLE_DEVICES'] = '/gpu:0'

即可！