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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -33,41 +33,37 @@ If you want to use the NVIDIA GeForce RTX 3080 Ti GPU with PyTorch, please check warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name)) Net total params: 13.84M Test DB size: 12. 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 178, in inferNet heatmaps, tagmaps = network(batch_data) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 166, in forward return self.module(*inputs[0], **kwargs[0]) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "/home2/jaskirat.singh/Drone-based-building-assessment/win_det_heatmaps/common_pytorch/base_modules/architecture.py", line 25, in forward x = self.backbone(x) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "/home2/jaskirat.singh/Drone-based-building-assessment/win_det_heatmaps/common_pytorch/base_modules/shufflenetv2.py", line 63, in forward return self._forward_impl(x) File "/home2/jaskirat.singh/Drone-based-building-assessment/win_det_heatmaps/common_pytorch/base_modules/shufflenetv2.py", line 51, in _forward_impl x = self.conv1(x) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/modules/container.py", line 141, in forward input = module(input) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/modules/activation.py", line 98, in forward return F.relu(input, inplace=self.inplace) File "/home2/jaskirat.singh/miniconda3/envs/robo/lib/python3.8/site-packages/torch/nn/functional.py", line 1297, in relu result = torch.relu_(input) ``` -
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -1,6 +1,6 @@ ### 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 ``` -
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -1,5 +1,9 @@ ### 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 -
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Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,69 @@ ### Command Ran: ``` 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] ```