Error.md

Command Ran:

/usr/bin/salloc -n 20 -J interactive -p ihub -A mobility_arfs --gres=gpu:2 -t 12:00:00 /usr/bin/srun  --pty --cpu_bind=no /bin/bash -l

python3 infer.py --cfg /home2/jaskirat.singh/Drone-based-building-assessment/win_det_heatmaps/experiments/shufflenet/lr1e-3_120x90-110_center_b2.yaml 
                 --model /home2/jaskirat.singh/shufflenet_zjufacade+iiitH.pth
                 --infer /home2/jaskirat.singh/002

Error:

=================SYS PATH================
/home2/jaskirat.singh/Drone-based-building-assessment/win_det_heatmaps/common_pytorch
/home2/jaskirat.singh/Drone-based-building-assessment/win_det_heatmaps/common
/home2/jaskirat.singh/Drone-based-building-assessment/win_det_heatmaps
/home2/jaskirat.singh/miniconda3/envs/robo/lib/python38.zip
/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8
/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/lib-dynload
/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages
=================SYS PATH================
Using Devices: [0]
Defining result & flip func
Creating dataset
Loading model from /home2/jaskirat.singh/shufflenet_zjufacade+iiitH.pth
/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/cuda/__init__.py:143: UserWarning: 
NVIDIA GeForce RTX 3080 Ti with CUDA capability sm_86 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the NVIDIA GeForce RTX 3080 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

  warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
Net total params: 13.84M
Test DB size: 0.
in infer
Traceback (most recent call last):
  File "infer.py", line 90, in <module>
    main()
  File "infer.py", line 83, in main
    inferNet(infer_data_loader, net, merge_hm_flip_func, merge_tag_flip_func, flip_pairs,
  File "/home2/jaskirat.singh/Drone-based-building-assessment/win_det_heatmaps/common_pytorch/net_modules.py", line 191, in inferNet
    heatmaps = torch.cat(heatmaps_list)
NotImplementedError: There were no tensor arguments to this function (e.g., you passed an empty list of Tensors), but no fallback function is registered for schema aten::_cat.  This usually means that this function requires a non-empty list of Tensors, or that you (the operator writer) forgot to register a fallback function.  Available functions are [CPU, CUDA, QuantizedCPU, BackendSelect, Python, Named, Conjugate, Negative, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradLazy, AutogradXPU, AutogradMLC, AutogradHPU, AutogradNestedTensor, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, Tracer, UNKNOWN_TENSOR_TYPE_ID, Autocast, Batched, VmapMode].

CPU: registered at aten/src/ATen/RegisterCPU.cpp:18433 [kernel]
CUDA: registered at aten/src/ATen/RegisterCUDA.cpp:26496 [kernel]
QuantizedCPU: registered at aten/src/ATen/RegisterQuantizedCPU.cpp:1068 [kernel]
BackendSelect: fallthrough registered at ../aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at ../aten/src/ATen/core/PythonFallbackKernel.cpp:47 [backend fallback]
Named: registered at ../aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at ../aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at ../aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback]
ADInplaceOrView: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradCPU: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradCUDA: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradXLA: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradLazy: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradXPU: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradMLC: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradHPU: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradNestedTensor: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradPrivateUse1: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradPrivateUse2: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradPrivateUse3: registered at ../torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
Tracer: registered at ../torch/csrc/autograd/generated/TraceType_3.cpp:11560 [kernel]
UNKNOWN_TENSOR_TYPE_ID: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:466 [backend fallback]
Autocast: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:305 [backend fallback]
Batched: registered at ../aten/src/ATen/BatchingRegistrations.cpp:1016 [backend fallback]
VmapMode: fallthrough registered at ../aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback]