Traceback (most recent call last):


 "test.py", line 181, in <module>

main()


 "test.py", line 177, in main

eval_single_ckpt(model, test_loader, args, eval_output_dir, logger, epoch_id)


 "test.py", line 59, in eval_single_ckpt

model, test_loader, epoch_id, logger, result_dir=eval_output_dir, save_to_file=args.save_to_file


 "/home/tools/eval_utils/eval_utils.py", line 46, in eval_one_epoch

pred_dicts, ret_dict = model(input_dict)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/pcdet/models/detectors/PartA2_net.py", line 112, in forward

batch_size, voxel_centers, coords, rpn_ret_dict, input_dict


 "/home/pcdet/models/detectors/PartA2_net.py", line 98, in forward_rcnn

rcnn_ret_dict = self.rcnn_net.forward(rcnn_input_dict)


 "/home/pcdet/models/rcnn/partA2_rcnn_net.py", line 553, in forward

pooled_part_features, pooled_rpn_features = self.roiaware_pool(rois, rcnn_dict)


 "/home/pcdet/models/rcnn/partA2_rcnn_net.py", line 510, in roiaware_pool

cur_roi, cur_voxel_centers, cur_rpn_features, pool_method='max'


 "/home/pcdet/ops/roiaware_pool3d/roiaware_pool3d_utils.py", line 16, in forward

self.out_size, self.max_pts_each_voxel, pool_method)


 "/home/pcdet/ops/roiaware_pool3d/roiaware_pool3d_utils.py", line 44, in forward

pooled_features = pts_feature.new_zeros((num_rois, out_x, out_y, out_z, num_channels))
RuntimeError: cuda runtime error (9) : invalid configuration argument at /pytorch/aten/src/THC/generic/THCTensorMath.cu:35

Traceback (most recent call last):


 "/usr/local/google/home/chaseriley/.local/lib/python3.6/site-packages/jax/interpreters/xla.py", line 70, in primitive_computation

return c.Build()


 "/usr/local/google/home/chaseriley/.local/lib/python3.6/site-packages/jax/lib/xla_bridge.py", line 267, in Build

*args, **kwargs)


 "/usr/local/google/home/chaseriley/.local/lib/python3.6/site-packages/jaxlib/xla_client.py", line 640, in Build

return Computation(self._builder.Build(), backend=backend)
RuntimeError: Invalid argument: Cannot infer shape for dot operation: f32[1,24] <dot> f32[1,210]. Contracting dimension sizes do not match.: 
