You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
c:\c\anaconda\envs\pmp\include\cuda\std\detail\libcxx\include__type_traits/is_constant_evaluated.h(32): error: identifier "__builtin_is_constant_evaluated" is undefined
2 errors detected in the compilation of "C:/Users/dsc17/.cache/jittor/jt1.3.8/cl/py3.8.18/Windows-10-10.xd6/13thGenIntelRCxf6/default/cu11.2.67/jit/cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.cc".
cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.cc
0%| | 0/3622 [00:21<?, ?it/s]
Traceback (most recent call last):
File "C:\E\Codes\PMP-Net-main\PMPPlus-Jittor\main_c3d.py", line 55, in
main()
File "C:\E\Codes\PMP-Net-main\PMPPlus-Jittor\main_c3d.py", line 39, in main
train_net(cfg)
File "C:\E\Codes\PMP-Net-main\PMPPlus-Jittor\core\train_c3d.py", line 102, in train_net
loss_item = loss.item()
RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.item)).
[i 1101 11:05:04.442000 24 compiler.py:956] Jittor(1.3.8.5) src: c:\c\anaconda\envs\pmp\lib\site-packages\jittor
[i 1101 11:05:04.472000 24 compiler.py:957] cl at C:\Users\dsc17.cache\jittor\msvc\VC_____\bin\cl.exe(19.29.30133)
[i 1101 11:05:04.472000 24 compiler.py:958] cache_path: C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default
[i 1101 11:05:04.480000 24 install_cuda.py:93] cuda_driver_version: [12, 2, 0]
[i 1101 11:05:04.506000 24 init.py:411] Found C:\Users\dsc17.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe(11.2.67) at C:\Users\dsc17.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe.
[i 1101 11:05:04.550000 24 compiler.py:1011] cuda key:cu11.2.67
[i 1101 11:05:04.552000 24 init.py:227] Total mem: 15.65GB, using 5 procs for compiling.
[i 1101 11:05:06.460000 24 jit_compiler.cc:28] Load cc_path: C:\Users\dsc17.cache\jittor\msvc\VC_____\bin\cl.exe
[i 1101 11:05:06.467000 24 init.cc:62] Found cuda archs: [89,]
[w 1101 11:05:06.495000 24 compiler.py:1384] CUDA arch(89)>86 will be backward-compatible
[w 1101 11:05:06.562000 24 compile_extern.py:203] CUDA related path found in LD_LIBRARY_PATH or PATH(['', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib64', '', 'C', '\Users\dsc17\.cache\jittor\mkl\dnnl_win_2.2.0_cpu_vcomp\bin', '', 'C', '\Users\dsc17\.cache\jittor\mkl\dnnl_win_2.2.0_cpu_vcomp\lib', '', 'C', '\Users\dsc17\.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default', '', 'C', '\Users\dsc17\.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67', '', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin', '', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\win10_kits\lib\ucrt\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\win10_kits\lib\um\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\VC\lib', '', 'c', '\c\anaconda\envs\pmp\libs', 'C', '\Users\dsc17\.cache\jittor\msvc\VC\\\\\\bin', 'C', '\C\anaconda\envs\PMP', 'C', '\C\anaconda\envs\PMP\Library\mingw-w64\bin', 'C', '\C\anaconda\envs\PMP\Library\usr\bin', 'C', '\C\anaconda\envs\PMP\Library\bin', 'C', '\C\anaconda\envs\PMP\Scripts', 'C', '\C\anaconda\envs\PMP\bin', 'C', '\C\anaconda\condabin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libnvvp', 'C', '\windows\system32', 'C', '\windows', 'C', '\windows\System32\Wbem', 'C', '\windows\System32\WindowsPowerShell\v1.0', 'C', '\windows\System32\OpenSSH', 'C', '\Program Files (x86)\NVIDIA Corporation\PhysX\Common', 'C', '\C\anaconda', 'C', '\C\anaconda\Scripts', 'C', '\C\anaconda\Library\bin', 'C', '\C\anaconda\Library\mingw-w64\bin', 'C', '\C\anaconda\Library\usr\bin', 'C', '\Program Files\NVIDIA Corporation\NVIDIA NvDLISR', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\include', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\lib', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libnvvp', 'C', '\Program Files\NVIDIA Corporation\Nsight Compute 2022.2.0', 'C', '\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn', 'C', '\Program Files\Microsoft SQL Server\150\Tools\Binn', 'C', '\Program Files\dotnet', 'C', '\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.37.32822\include', 'C', '\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.37.32822\include', 'C', '\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit', 'C', '\Program Files (x86)\Windows Kits\10\Include\10.0.22621.0\ucrt', 'C', '\Program Files (x86)\Windows Kits\10\Include\10.0.22000.0\ucrt', 'C', '\Python 3.11', 'C', '\E\Codes\PCN-PyTorch-master\extensions\chamfer_distance', 'C', '\C\anaconda\envs\PMP\Lib\site-packages\torch\lib', 'C', '\Users\dsc17\AppData\Local\Microsoft\WindowsApps', 'C', '\Program Files\JetBrains\PyCharm 2023.2.1\bin', '.', 'C', '\C\pycharm\PyCharm Community Edition 2023.2.1\bin', '.', 'C', '\Users\dsc17\.dotnet\tools', 'C', '\C\anaconda\Library\Bin']), This path may cause jittor found the wrong libs, please unset LD_LIBRARY_PATH and remove cuda lib path in Path.
Or you can let jittor install cuda for you:
python3.x -m jittor_utils.install_cuda
[w 1101 11:05:06.562000 24 compile_extern.py:203] CUDA related path found in LD_LIBRARY_PATH or PATH(['', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib64', '', 'C', '\Users\dsc17\.cache\jittor\mkl\dnnl_win_2.2.0_cpu_vcomp\bin', '', 'C', '\Users\dsc17\.cache\jittor\mkl\dnnl_win_2.2.0_cpu_vcomp\lib', '', 'C', '\Users\dsc17\.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default', '', 'C', '\Users\dsc17\.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67', '', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin', '', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\win10_kits\lib\ucrt\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\win10_kits\lib\um\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\VC\lib', '', 'c', '\c\anaconda\envs\pmp\libs', 'C', '\Users\dsc17\.cache\jittor\msvc\VC\\\\\\bin', 'C', '\C\anaconda\envs\PMP', 'C', '\C\anaconda\envs\PMP\Library\mingw-w64\bin', 'C', '\C\anaconda\envs\PMP\Library\usr\bin', 'C', '\C\anaconda\envs\PMP\Library\bin', 'C', '\C\anaconda\envs\PMP\Scripts', 'C', '\C\anaconda\envs\PMP\bin', 'C', '\C\anaconda\condabin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libnvvp', 'C', '\windows\system32', 'C', '\windows', 'C', '\windows\System32\Wbem', 'C', '\windows\System32\WindowsPowerShell\v1.0', 'C', '\windows\System32\OpenSSH', 'C', '\Program Files (x86)\NVIDIA Corporation\PhysX\Common', 'C', '\C\anaconda', 'C', '\C\anaconda\Scripts', 'C', '\C\anaconda\Library\bin', 'C', '\C\anaconda\Library\mingw-w64\bin', 'C', '\C\anaconda\Library\usr\bin', 'C', '\Program Files\NVIDIA Corporation\NVIDIA NvDLISR', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\include', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\lib', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libnvvp', 'C', '\Program Files\NVIDIA Corporation\Nsight Compute 2022.2.0', 'C', '\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn', 'C', '\Program Files\Microsoft SQL Server\150\Tools\Binn', 'C', '\Program Files\dotnet', 'C', '\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.37.32822\include', 'C', '\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.37.32822\include', 'C', '\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit', 'C', '\Program Files (x86)\Windows Kits\10\Include\10.0.22621.0\ucrt', 'C', '\Program Files (x86)\Windows Kits\10\Include\10.0.22000.0\ucrt', 'C', '\Python 3.11', 'C', '\E\Codes\PCN-PyTorch-master\extensions\chamfer_distance', 'C', '\C\anaconda\envs\PMP\Lib\site-packages\torch\lib', 'C', '\Users\dsc17\AppData\Local\Microsoft\WindowsApps', 'C', '\Program Files\JetBrains\PyCharm 2023.2.1\bin', '.', 'C', '\C\pycharm\PyCharm Community Edition 2023.2.1\bin', '.', 'C', '\Users\dsc17\.dotnet\tools', 'C', '\C\anaconda\Library\Bin']), This path may cause jittor found the wrong libs, please unset LD_LIBRARY_PATH and remove cuda lib path in Path.
Or you can let jittor install cuda for you:
python3.x -m jittor_utils.install_cuda
[w 1101 11:05:06.568000 24 compile_extern.py:203] CUDA related path found in LD_LIBRARY_PATH or PATH(['', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib64', '', 'C', '\Users\dsc17\.cache\jittor\mkl\dnnl_win_2.2.0_cpu_vcomp\bin', '', 'C', '\Users\dsc17\.cache\jittor\mkl\dnnl_win_2.2.0_cpu_vcomp\lib', '', 'C', '\Users\dsc17\.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default', '', 'C', '\Users\dsc17\.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67', '', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin', '', 'C', '\Users\dsc17\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\win10_kits\lib\ucrt\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\win10_kits\lib\um\x64', '', 'C', '\Users\dsc17\.cache\jittor\msvc\VC\lib', '', 'c', '\c\anaconda\envs\pmp\libs', 'C', '\Users\dsc17\.cache\jittor\msvc\VC\\\\\_\bin', 'C', '\C\anaconda\envs\PMP', 'C', '\C\anaconda\envs\PMP\Library\mingw-w64\bin', 'C', '\C\anaconda\envs\PMP\Library\usr\bin', 'C', '\C\anaconda\envs\PMP\Library\bin', 'C', '\C\anaconda\envs\PMP\Scripts', 'C', '\C\anaconda\envs\PMP\bin', 'C', '\C\anaconda\condabin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libnvvp', 'C', '\windows\system32', 'C', '\windows', 'C', '\windows\System32\Wbem', 'C', '\windows\System32\WindowsPowerShell\v1.0', 'C', '\windows\System32\OpenSSH', 'C', '\Program Files (x86)\NVIDIA Corporation\PhysX\Common', 'C', '\C\anaconda', 'C', '\C\anaconda\Scripts', 'C', '\C\anaconda\Library\bin', 'C', '\C\anaconda\Library\mingw-w64\bin', 'C', '\C\anaconda\Library\usr\bin', 'C', '\Program Files\NVIDIA Corporation\NVIDIA NvDLISR', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\include', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\lib', 'C', '\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libnvvp', 'C', '\Program Files\NVIDIA Corporation\Nsight Compute 2022.2.0', 'C', '\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn', 'C', '\Program Files\Microsoft SQL Server\150\Tools\Binn', 'C', '\Program Files\dotnet', 'C', '\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.37.32822\include', 'C', '\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.37.32822\include', 'C', '\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit', 'C', '\Program Files (x86)\Windows Kits\10\Include\10.0.22621.0\ucrt', 'C', '\Program Files (x86)\Windows Kits\10\Include\10.0.22000.0\ucrt', 'C', '\Python 3.11', 'C', '\E\Codes\PCN-PyTorch-master\extensions\chamfer_distance', 'C', '\C\anaconda\envs\PMP\Lib\site-packages\torch\lib', 'C', '\Users\dsc17\AppData\Local\Microsoft\WindowsApps', 'C', '\Program Files\JetBrains\PyCharm 2023.2.1\bin', '.', 'C', '\C\pycharm\PyCharm Community Edition 2023.2.1\bin', '.', 'C', '\Users\dsc17\.dotnet\tools', 'C', '\C\anaconda\Library\Bin']), This path may cause jittor found the wrong libs, please unset LD_LIBRARY_PATH and remove cuda lib path in Path.
Or you can let jittor install cuda for you:
python3.x -m jittor_utils.install_cuda
[i 1101 11:05:08.185000 24 cuda_flags.cc:49] CUDA enabled.
Use config:
{'CONST': {'DEVICE': '0',
'NUM_WORKERS': 4,
'N_INPUT_POINTS': 2048,
'WEIGHTS': ''},
'DATASET': {'TEST_DATASET': 'Completion3D', 'TRAIN_DATASET': 'Completion3D'},
'DATASETS': {'COMPLETION3D': {'CATEGORY_FILE_PATH': 'C:\E\Codes\PMP-Net-main\PMPPlus-Jittor\datasets\Completion3D.json',
'COMPLETE_POINTS_PATH': 'C:\E\Codes\PMP-Net-main\shapenet/%s/gt/%s/%s.h5',
'PARTIAL_POINTS_PATH': 'C:\E\Codes\PMP-Net-main\shapenet/%s/partial/%s/%s.h5'},
'SHAPENET': {'CATEGORY_FILE_PATH': './datasets/ShapeNet.json',
'COMPLETE_POINTS_PATH': '/PCN/%s/complete/%s/%s.pcd',
'N_POINTS': 2048,
'N_RENDERINGS': 8,
'PARTIAL_POINTS_PATH': '/PCN/%s/partial/%s/%s/%02d.pcd'}},
'DIR': {'OUT_PATH': './exp/c3d'},
'MEMCACHED': {'CLIENT_CONFIG': '/mnt/lustre/share/memcached_client/client.conf',
'ENABLED': False,
'LIBRARY_PATH': '/mnt/lustre/share/pymc/py3',
'SERVER_CONFIG': '/mnt/lustre/share/memcached_client/server_list.conf'},
'NETWORK': {'N_SAMPLING_POINTS': 2048},
'TEST': {'METRIC_NAME': 'ChamferDistance'},
'TRAIN': {'BATCH_SIZE': 8,
'BETAS': [0.9, 0.999],
'GAMMA': 0.5,
'LAMBDA_CD': 1000,
'LAMBDA_PMD': 0.001,
'LEARNING_RATE': 0.001,
'LR_MILESTONES': [50, 100, 150, 200, 250],
'N_EPOCHS': 300,
'SAVE_FREQ': 25,
'WEIGHT_DECAY': 0}}
[INFO] 2023-11-01 11:05:09,588 Collecting files of Taxonomy [ID=all, Name=Uncategorized Test Set]
[INFO] 2023-11-01 11:05:09,589 Collecting files of Taxonomy [ID=02691156, Name=airplane]
[INFO] 2023-11-01 11:05:09,594 Collecting files of Taxonomy [ID=02933112, Name=cabinet]
[INFO] 2023-11-01 11:05:09,595 Collecting files of Taxonomy [ID=02958343, Name=car]
[INFO] 2023-11-01 11:05:09,602 Collecting files of Taxonomy [ID=03001627, Name=chair]
[INFO] 2023-11-01 11:05:09,607 Collecting files of Taxonomy [ID=03636649, Name=lamp]
[INFO] 2023-11-01 11:05:09,609 Collecting files of Taxonomy [ID=04256520, Name=sofa]
[INFO] 2023-11-01 11:05:09,612 Collecting files of Taxonomy [ID=04379243, Name=table]
[INFO] 2023-11-01 11:05:09,621 Collecting files of Taxonomy [ID=04530566, Name=watercraft]
[INFO] 2023-11-01 11:05:09,623 Complete collecting files of the dataset. Total files: 28974
[INFO] 2023-11-01 11:05:09,623 Collecting files of Taxonomy [ID=all, Name=Uncategorized Test Set]
[INFO] 2023-11-01 11:05:09,623 Collecting files of Taxonomy [ID=02691156, Name=airplane]
[INFO] 2023-11-01 11:05:09,623 Collecting files of Taxonomy [ID=02933112, Name=cabinet]
[INFO] 2023-11-01 11:05:09,624 Collecting files of Taxonomy [ID=02958343, Name=car]
[INFO] 2023-11-01 11:05:09,624 Collecting files of Taxonomy [ID=03001627, Name=chair]
[INFO] 2023-11-01 11:05:09,624 Collecting files of Taxonomy [ID=03636649, Name=lamp]
[INFO] 2023-11-01 11:05:09,624 Collecting files of Taxonomy [ID=04256520, Name=sofa]
[INFO] 2023-11-01 11:05:09,625 Collecting files of Taxonomy [ID=04379243, Name=table]
[INFO] 2023-11-01 11:05:09,625 Collecting files of Taxonomy [ID=04530566, Name=watercraft]
[INFO] 2023-11-01 11:05:09,625 Complete collecting files of the dataset. Total files: 800
epoch: 1 optimizer: 0.001
0%| | 0/3622 [00:00<?, ?it/s][e 1101 11:05:31.545000 24 log.cc:565] cl : Command line warning D9025 : overriding '/EHa' with '/EHs'
cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.cc
c:\c\anaconda\envs\pmp\include\cuda\std\detail\libcxx\include__type_traits/is_constant_evaluated.h(27): error: identifier "__builtin_is_constant_evaluated" is undefined
c:\c\anaconda\envs\pmp\include\cuda\std\detail\libcxx\include__type_traits/is_constant_evaluated.h(32): error: identifier "__builtin_is_constant_evaluated" is undefined
2 errors detected in the compilation of "C:/Users/dsc17/.cache/jittor/jt1.3.8/cl/py3.8.18/Windows-10-10.xd6/13thGenIntelRCxf6/default/cu11.2.67/jit/cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.cc".
cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.cc
0%| | 0/3622 [00:21<?, ?it/s]
Traceback (most recent call last):
File "C:\E\Codes\PMP-Net-main\PMPPlus-Jittor\main_c3d.py", line 55, in
main()
File "C:\E\Codes\PMP-Net-main\PMPPlus-Jittor\main_c3d.py", line 39, in main
train_net(cfg)
File "C:\E\Codes\PMP-Net-main\PMPPlus-Jittor\core\train_c3d.py", line 102, in train_net
loss_item = loss.item()
RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.item)).
Types of your inputs are:
self = Var,
args = (),
The function declarations are:
ItemData item()
Failed reason:[f 1101 11:05:31.546000 24 parallel_compiler.cc:331] Error happend during compilation:
[Error] source file location:C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67\jit\cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.cc
Compile operator(16/66)failed:Op(14284:0:2:2:i2:o2:s0,cub_arg_reduce->...)
The text was updated successfully, but these errors were encountered: