as title
the crash message is as below:
Traceback (most recent call last):
File “/home/guanx/pycharmProject/erfnet/venv/erfnet_pytorch-lidarseg/eval/eval_lidar_seg.py”, line 435, in
evaluate(parser.parse_args())
File “/home/guanx/pycharmProject/erfnet/venv/erfnet_pytorch-lidarseg/eval/eval_lidar_seg.py”, line 292, in evaluate
outputs = model(inputs)
File “/home/guanx/anaconda3/envs/python37/lib/python3.7/site-packages/torch/nn/modules/module.py”, line 532, in call
result = self.forward(*input, **kwargs)
RuntimeError: Could not run ‘aten::max_pool2d_with_indices’ with arguments from the ‘QuantizedCPUTensorId’ backend. ‘aten::max_pool2d_with_indices’ is only available for these backends: [CPUTensorId, VariableTensorId].
The above operation failed in interpreter.
Traceback (most recent call last):
File “”, line 63
dilation: List[int],
ceil_mode: bool):
output, indices = torch.max_pool2d_with_indices(self, kernel_size, stride, padding, dilation, ceil_mode)
def backward(grad_output):
grad_self = torch.max_pool2d_with_indices_backward(grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices)

The above operation failed in interpreter.