Hi, I'm a newbie studying about using deep learning to predict future trajectory on cars.
I have been studying your paper, and I am now starting to run your code.
I made a dockerfile to run this code by using nuscenes' mini data, and I succeed on running "preprocess.py",
but I failed while running "precast.py".
I got this error, " keyerror : 'train on all sweeps' ", and I would like to get some advice on how to solve this error.
Also if possible, could you explain the order in which code should be executed?
It would be a great honor to run your code by your help.
(base) root@b1d627403c9b:/usr/src/app# python -W ignore precast.py
Using /root/.cache/torch_extensions as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /root/.cache/torch_extensions/raycaster/build.ninja...
Building extension module raycaster...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/2] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=raycaster -DTORCH_API_INCLUDE_EXTENSION_H -isystem /opt/conda/lib/python3.6/site-packages/torch/include -isystem /opt/conda/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.6/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.6/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /opt/conda/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=1 -DCUDA_NO_HALF_OPERATORS -DCUDA_NO_HALF_CONVERSIONS -DCUDA_NO_BFLOAT16_CONVERSIONS -DCUDA_NO_HALF2_OPERATORS --expt-relaxed-constexpr -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_52,code=sm_52 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_75,code=sm_75 --compiler-options '-fPIC' -std=c++14 -c /usr/src/app/lib/raycast/raycaster.cu -o raycaster.cuda.o
[2/2] c++ raycaster.o raycaster.cuda.o -shared -L/opt/conda/lib/python3.6/site-packages/torch/lib -lc10 -lc10_cuda -ltorch_cpu -ltorch_cuda -ltorch -ltorch_python -L/usr/local/cuda/lib64 -lcudart -o raycaster.so
Loading extension module raycaster...
Terence233
commented
6 months ago
Hi, I'm a newbie studying about using deep learning to predict future trajectory on cars. I have been studying your paper, and I am now starting to run your code. I made a dockerfile to run this code by using nuscenes' mini data, and I succeed on running "preprocess.py", but I failed while running "precast.py".
I got this error, " keyerror : 'train on all sweeps' ", and I would like to get some advice on how to solve this error. Also if possible, could you explain the order in which code should be executed?
It would be a great honor to run your code by your help.
(base) root@b1d627403c9b:/usr/src/app# python -W ignore precast.py Using /root/.cache/torch_extensions as PyTorch extensions root... Detected CUDA files, patching ldflags Emitting ninja build file /root/.cache/torch_extensions/raycaster/build.ninja... Building extension module raycaster... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) [1/2] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=raycaster -DTORCH_API_INCLUDE_EXTENSION_H -isystem /opt/conda/lib/python3.6/site-packages/torch/include -isystem /opt/conda/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.6/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.6/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /opt/conda/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=1 -DCUDA_NO_HALF_OPERATORS -DCUDA_NO_HALF_CONVERSIONS -DCUDA_NO_BFLOAT16_CONVERSIONS -DCUDA_NO_HALF2_OPERATORS --expt-relaxed-constexpr -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_52,code=sm_52 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_75,code=sm_75 --compiler-options '-fPIC' -std=c++14 -c /usr/src/app/lib/raycast/raycaster.cu -o raycaster.cuda.o [2/2] c++ raycaster.o raycaster.cuda.o -shared -L/opt/conda/lib/python3.6/site-packages/torch/lib -lc10 -lc10_cuda -ltorch_cpu -ltorch_cuda -ltorch -ltorch_python -L/usr/local/cuda/lib64 -lcudart -o raycaster.so Loading extension module raycaster...
Loading NuScenes tables for version v1.0-mini... Loading nuScenes-lidarseg... 32 category, 8 attribute, 4 visibility, 911 instance, 12 sensor, 120 calibrated_sensor, 31206 ego_pose, 8 log, 10 scene, 404 sample, 31206 sample_data, 18538 sample_annotation, 4 map, 404 lidarseg, Done loading in 0.375 seconds.
Reverse indexing ... Done reverse indexing in 0.1 seconds.
Traceback (most recent call last): File "precast.py", line 29, in
dataset = nuScenesDataset(nusc, "train", dataset_kwargs)
File "/usr/src/app/data.py", line 106, in init
self.train_on_all_sweeps = kwargs["train_on_all_sweeps"]
KeyError: 'train_on_all_sweeps'