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When I run "sb3_highway_dqn_cnn.py", I get errors as below.
(base) zhuqinghua@lcwt-DSS8440:~/workspace/HighwayEnv-master/scripts$ python sb3_highway_dqn_cnn.py /home/zhuqinghua/miniconda3/lib/python3.8/site-packages/gymnasium/utils/passive_env_checker.py:42: UserWarning: WARN: A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (5, 5) logger.warn( Using cuda device Logging to highway_cnn/DQN_1 ---------------------------------- | rollout/ | | | exploration_rate | 0.94 | | time/ | | | episodes | 4 | | fps | 21 | | time_elapsed | 2 | | total_timesteps | 44 | ---------------------------------- ---------------------------------- | rollout/ | | | exploration_rate | 0.858 | | time/ | | | episodes | 8 | | fps | 21 | | time_elapsed | 4 | | total_timesteps | 105 | ---------------------------------- ---------------------------------- | rollout/ | | | exploration_rate | 0.805 | | time/ | | | episodes | 12 | | fps | 21 | | time_elapsed | 6 | | total_timesteps | 144 | ---------------------------------- ---------------------------------- | rollout/ | | | exploration_rate | 0.756 | | time/ | | | episodes | 16 | | fps | 22 | | time_elapsed | 8 | | total_timesteps | 180 | ---------------------------------- ---------------------------------- | rollout/ | | | exploration_rate | 0.691 | | time/ | | | episodes | 20 | | fps | 22 | | time_elapsed | 10 | | total_timesteps | 228 | | train/ | | | learning_rate | 0.0005 | | loss | 0.0366 | | n_updates | 27 | ---------------------------------- ---------------------------------- | rollout/ | | | exploration_rate | 0.638 | | time/ | | | episodes | 24 | | fps | 22 | | time_elapsed | 12 | | total_timesteps | 267 | | train/ | | | learning_rate | 0.0005 | | loss | 0.0117 | | n_updates | 66 | ---------------------------------- .................................................................................................... ---------------------------------- | rollout/ | | | exploration_rate | 0.05 | | time/ | | | episodes | 96 | | fps | 22 | | time_elapsed | 41 | | total_timesteps | 940 | | train/ | | | learning_rate | 0.0005 | | loss | 0.639 | | n_updates | 739 | ---------------------------------- ---------------------------------- | rollout/ | | | exploration_rate | 0.05 | | time/ | | | episodes | 100 | | fps | 22 | | time_elapsed | 43 | | total_timesteps | 971 | | train/ | | | learning_rate | 0.0005 | | loss | 0.443 | | n_updates | 770 | ---------------------------------- /home/zhuqinghua/miniconda3/lib/python3.8/site-packages/gymnasium/utils/passive_env_checker.py:42: UserWarning: WARN: A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (5, 5) logger.warn( Traceback (most recent call last): File "sb3_highway_dqn_cnn.py", line 57, in <module> env = VecVideoRecorder( File "/home/zhuqinghua/miniconda3/lib/python3.8/site-packages/stable_baselines3/common/vec_env/vec_video_recorder.py", line 52, in __init__ assert self.env.render_mode == "rgb_array", f"The render_mode must be 'rgb_array', not {self.env.render_mode}" AssertionError: The render_mode must be 'rgb_array', not None Exception ignored in: <function VecVideoRecorder.__del__ at 0x7f6193588670> Traceback (most recent call last): File "/home/zhuqinghua/miniconda3/lib/python3.8/site-packages/stable_baselines3/common/vec_env/vec_video_recorder.py", line 113, in __del__ self.close_video_recorder() File "/home/zhuqinghua/miniconda3/lib/python3.8/site-packages/stable_baselines3/common/vec_env/vec_video_recorder.py", line 103, in close_video_recorder if self.recording: File "/home/zhuqinghua/miniconda3/lib/python3.8/site-packages/stable_baselines3/common/vec_env/base_vec_env.py", line 420, in __getattr__ return self.getattr_recursive(name) File "/home/zhuqinghua/miniconda3/lib/python3.8/site-packages/stable_baselines3/common/vec_env/base_vec_env.py", line 445, in getattr_recursive attr = getattr(self.venv, name) AttributeError: 'DummyVecEnv' object has no attribute 'recording' (base) zhuqinghua@lcwt-DSS8440:~/workspace/HighwayEnv-master/scripts$
My env is as below
(base) zhuqinghua@lcwt-DSS8440:~/workspace/HighwayEnv-master/scripts$ conda list # packages in environment at /home/zhuqinghua/miniconda3: # # Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_kmp_llvm conda-forge abseil-cpp 20220623.0 h8cdb687_6 conda-forge absl-py 1.4.0 py38h06a4308_0 aiohttp 3.9.0 py38h5eee18b_0 aiosignal 1.2.0 pyhd3eb1b0_0 ale-py 0.8.1 pypi_0 pypi alembic 1.8.1 py38h06a4308_0 alsa-lib 1.2.8 h166bdaf_0 conda-forge aom 3.5.0 h27087fc_0 conda-forge archspec 0.2.1 pyhd3eb1b0_0 asttokens 2.4.1 pyhd8ed1ab_0 conda-forge async-timeout 4.0.3 py38h06a4308_0 attr 2.5.1 h166bdaf_1 conda-forge attrs 23.1.0 py38h06a4308_0 autorom 0.6.1 pypi_0 pypi backcall 0.2.0 pyh9f0ad1d_0 conda-forge blas 1.0 openblas blinker 1.6.2 py38h06a4308_0 boltons 23.0.0 py38h06a4308_0 bottleneck 1.3.5 py38h7deecbd_0 box2d-py 2.3.8 py38h17151c0_8 conda-forge brotli 1.0.9 h5eee18b_7 brotli-bin 1.0.9 h5eee18b_7 brotli-python 1.0.9 py38h6a678d5_7 bzip2 1.0.8 h7b6447c_0 c-ares 1.19.1 h5eee18b_0 ca-certificates 2023.12.12 h06a4308_0 cachetools 4.2.2 pyhd3eb1b0_0 cairo 1.16.0 ha61ee94_1014 conda-forge certifi 2023.11.17 pyhd8ed1ab_0 conda-forge cffi 1.16.0 py38h5eee18b_0 chardet 5.2.0 pypi_0 pypi charset-normalizer 2.0.4 pyhd3eb1b0_0 click 8.1.7 py38h06a4308_0 cloudpickle 2.2.1 py38h06a4308_0 colorlog 5.0.1 py38h06a4308_1 comm 0.2.1 pyhd8ed1ab_0 conda-forge conda 23.11.0 py38h578d9bd_1 conda-forge conda-content-trust 0.2.0 py38h06a4308_0 conda-libmamba-solver 23.12.0 pyhd3eb1b0_1 conda-package-handling 2.2.0 py38h06a4308_0 conda-package-streaming 0.9.0 py38h06a4308_0 contourpy 1.1.1 pypi_0 pypi cryptography 41.0.7 py38hdda0065_0 cuda-version 11.8 h70ddcb2_2 conda-forge cudatoolkit 11.8.0 h6a678d5_0 cudnn 8.9.2.26 cuda11_0 cycler 0.12.1 pypi_0 pypi dataproperty 1.0.1 pypi_0 pypi dav1d 1.2.1 h5eee18b_0 dbus 1.13.18 hb2f20db_0 debugpy 1.8.0 py38h17151c0_1 conda-forge decorator 5.1.1 pyhd3eb1b0_0 distro 1.8.0 py38h06a4308_0 exceptiongroup 1.2.0 pypi_0 pypi executing 2.0.1 pyhd8ed1ab_0 conda-forge expat 2.5.0 h6a678d5_0 farama-notifications 0.0.4 py38h06a4308_0 ffmpeg 5.1.2 gpl_h8dda1f0_106 conda-forge fftw 3.3.10 nompi_hc118613_108 conda-forge filelock 3.13.1 py38h06a4308_0 fluidsynth 2.3.2 hea804a5_0 conda-forge fmt 9.1.0 hdb19cb5_0 font-ttf-dejavu-sans-mono 2.37 hd3eb1b0_0 font-ttf-inconsolata 2.001 hcb22688_0 font-ttf-source-code-pro 2.030 hd3eb1b0_0 font-ttf-ubuntu 0.83 h8b1ccd4_0 fontconfig 2.14.2 h14ed4e7_0 conda-forge fonts-anaconda 1 h8fa9717_0 fonts-conda-ecosystem 1 hd3eb1b0_0 fonttools 4.47.2 pypi_0 pypi freeglut 3.2.2 h9c3ff4c_1 conda-forge freetype 2.12.1 h4a9f257_0 frozenlist 1.4.0 py38h5eee18b_0 fsspec 2023.10.0 py38h06a4308_0 gettext 0.21.1 h27087fc_0 conda-forge giflib 5.2.1 h5eee18b_3 glib 2.78.3 hfc55251_0 conda-forge glib-tools 2.78.3 hfc55251_0 conda-forge gmp 6.2.1 h295c915_3 gmpy2 2.1.2 py38heeb90bb_0 gnutls 3.7.9 hb077bed_0 conda-forge google-auth 2.22.0 py38h06a4308_0 google-auth-oauthlib 0.5.2 py38h06a4308_0 graphite2 1.3.14 h295c915_1 greenlet 3.0.1 py38h6a678d5_0 grpc-cpp 1.51.1 h27aab58_1 conda-forge grpcio 1.51.1 py38h5c03f07_1 conda-forge gst-plugins-base 1.22.0 h4243ec0_2 conda-forge gstreamer 1.22.0 h25f0c4b_2 conda-forge gstreamer-orc 0.4.34 hd590300_0 conda-forge gtest 1.14.0 hdb19cb5_0 gym 0.26.2 pypi_0 pypi gym-notices 0.0.8 pypi_0 pypi gymnasium 0.29.1 pypi_0 pypi gymnasium-box2d 0.28.1 py38h578d9bd_0 conda-forge harfbuzz 6.0.0 h8e241bc_0 conda-forge hdf5 1.14.0 nompi_hb72d44e_103 conda-forge highway-env 1.8.2 pypi_0 pypi huggingface-sb3 3.0 pypi_0 pypi huggingface_hub 0.20.2 pyhd8ed1ab_0 conda-forge icu 70.1 h27087fc_0 conda-forge idna 3.4 py38h06a4308_0 imageio 2.31.4 py38h06a4308_0 imageio-ffmpeg 0.4.9 pyhd8ed1ab_0 conda-forge importlib-metadata 7.0.1 py38h06a4308_0 importlib_metadata 7.0.1 hd3eb1b0_0 importlib_resources 6.1.1 py38h06a4308_1 iniconfig 2.0.0 pypi_0 pypi intel-openmp 2023.1.0 hdb19cb5_46306 ipykernel 6.29.0 pyhd33586a_0 conda-forge ipython 8.12.2 pyh41d4057_0 conda-forge ipywidgets 8.1.1 pypi_0 pypi jack 1.9.22 h11f4161_0 conda-forge jasper 2.0.33 h0ff4b12_1 conda-forge jax-jumpy 1.0.0 py38h06a4308_0 jedi 0.19.1 pyhd8ed1ab_0 conda-forge jinja2 3.1.2 py38h06a4308_0 jpeg 9e h5eee18b_1 jsonpatch 1.32 pyhd3eb1b0_0 jsonpointer 2.1 pyhd3eb1b0_0 jupyter_client 8.6.0 pyhd8ed1ab_0 conda-forge jupyter_core 5.7.1 py38h578d9bd_0 conda-forge jupyterlab-widgets 3.0.9 pypi_0 pypi kiwisolver 1.4.5 pypi_0 pypi krb5 1.20.1 h143b758_1 lame 3.100 h7b6447c_0 lcms2 2.12 h3be6417_0 ld_impl_linux-64 2.38 h1181459_1 lerc 3.0 h295c915_0 libabseil 20220623.0 cxx17_h05df665_6 conda-forge libaec 1.1.2 h59595ed_1 conda-forge libarchive 3.6.2 h6ac8c49_2 libavif 0.11.1 h8182462_2 conda-forge libblas 3.9.0 16_linux64_openblas conda-forge libbrotlicommon 1.0.9 h5eee18b_7 libbrotlidec 1.0.9 h5eee18b_7 libbrotlienc 1.0.9 h5eee18b_7 libcap 2.67 he9d0100_0 conda-forge libcblas 3.9.0 16_linux64_openblas conda-forge libclang 15.0.7 default_hb11cfb5_4 conda-forge libclang13 15.0.7 default_ha2b6cf4_4 conda-forge libcups 2.3.3 h36d4200_3 conda-forge libcurl 8.4.0 h251f7ec_1 libdb 6.2.32 h6a678d5_1 libdeflate 1.17 h5eee18b_1 libdrm 2.4.114 h166bdaf_0 conda-forge libedit 3.1.20230828 h5eee18b_0 libev 4.33 h7f8727e_1 libevent 2.1.10 h28343ad_4 conda-forge libffi 3.4.4 h6a678d5_0 libflac 1.4.3 h59595ed_0 conda-forge libgcc-ng 13.2.0 h807b86a_3 conda-forge libgcrypt 1.10.3 hd590300_0 conda-forge libgfortran-ng 13.2.0 h69a702a_3 conda-forge libgfortran5 13.2.0 ha4646dd_3 conda-forge libglib 2.78.3 h783c2da_0 conda-forge libglu 9.0.0 hf484d3e_1 libgomp 13.2.0 h807b86a_3 conda-forge libgpg-error 1.47 h71f35ed_0 conda-forge libgrpc 1.51.1 h4fad500_1 conda-forge libiconv 1.17 hd590300_2 conda-forge libidn2 2.3.4 h5eee18b_0 liblapack 3.9.0 16_linux64_openblas conda-forge liblapacke 3.9.0 16_linux64_openblas conda-forge libllvm15 15.0.7 hadd5161_1 conda-forge libmad 0.15.1b h0b41bf4_1001 conda-forge libmagma 2.7.1 hc72dce7_6 conda-forge libmagma_sparse 2.7.1 h8354cda_6 conda-forge libmamba 1.5.3 haf1ee3a_0 libmambapy 1.5.3 py38h2dafd23_0 libnghttp2 1.57.0 h2d74bed_0 libogg 1.3.5 h27cfd23_1 libopenblas 0.3.21 h043d6bf_0 libopencv 4.7.0 py38hb32f1de_1 conda-forge libopus 1.3.1 h7b6447c_0 libpciaccess 0.17 h166bdaf_0 conda-forge libpng 1.6.39 h5eee18b_0 libpq 15.3 hbcd7760_1 conda-forge libprotobuf 3.21.12 hfc55251_2 conda-forge libsndfile 1.2.2 hbc2eb40_0 conda-forge libsodium 1.0.18 h36c2ea0_1 conda-forge libsolv 0.7.24 he621ea3_0 libsqlite 3.44.2 h2797004_0 conda-forge libssh2 1.10.0 hdbd6064_2 libstdcxx-ng 13.2.0 h7e041cc_3 conda-forge libsystemd0 253 h8c4010b_1 conda-forge libtasn1 4.19.0 h5eee18b_0 libtiff 4.5.1 h6a678d5_0 libtool 2.4.7 h27087fc_0 conda-forge libudev1 253 h0b41bf4_1 conda-forge libunistring 0.9.10 h27cfd23_0 libuuid 2.38.1 h0b41bf4_0 conda-forge libva 2.18.0 h0b41bf4_0 conda-forge libvorbis 1.3.7 h7b6447c_0 libvpx 1.11.0 h295c915_0 libwebp 1.3.2 h11a3e52_0 libwebp-base 1.3.2 h5eee18b_0 libxcb 1.13 h1bed415_1 libxkbcommon 1.5.0 h79f4944_1 conda-forge libxml2 2.10.3 hca2bb57_4 conda-forge libzlib 1.2.13 hd590300_5 conda-forge llvm-openmp 17.0.6 h4dfa4b3_0 conda-forge lz4 4.3.3 pypi_0 pypi lz4-c 1.9.4 h6a678d5_0 magma 2.7.1 ha770c72_6 conda-forge mako 1.2.3 py38h06a4308_0 markdown 3.4.1 py38h06a4308_0 markdown-it-py 3.0.0 pypi_0 pypi markupsafe 2.1.3 py38h5eee18b_0 matplotlib 3.7.4 pypi_0 pypi matplotlib-base 3.7.2 py38h1128e8f_0 matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge mbstrdecoder 1.1.3 pypi_0 pypi mdurl 0.1.2 pypi_0 pypi menuinst 2.0.1 py38h06a4308_1 mkl 2022.2.1 h84fe81f_16997 conda-forge mkl-service 2.4.0 py38h80f09db_0 conda-forge mkl_fft 1.3.8 py38h15cf20e_0 conda-forge mkl_random 1.2.4 py38h3afe8b8_2 conda-forge moviepy 1.0.3 pyhd8ed1ab_1 conda-forge mpc 1.1.0 h10f8cd9_1 mpfr 4.0.2 hb69a4c5_1 mpg123 1.31.3 hcb278e6_0 conda-forge mpmath 1.3.0 py38h06a4308_0 multidict 6.0.4 py38h5eee18b_0 munkres 1.1.4 py_0 mysql-common 8.0.33 hf1915f5_6 conda-forge mysql-libs 8.0.33 hca2cd23_6 conda-forge nccl 2.19.4.1 h6103f9b_0 conda-forge ncurses 6.4 h6a678d5_0 nest-asyncio 1.6.0 pyhd8ed1ab_0 conda-forge nettle 3.9.1 h7ab15ed_0 conda-forge networkx 3.1 py38h06a4308_0 ninja 1.10.2 h06a4308_5 ninja-base 1.10.2 hd09550d_5 nspr 4.35 h6a678d5_0 nss 3.89.1 h6a678d5_0 numexpr 2.8.4 py38hd2a5715_1 numpy 1.24.3 py38hf838250_0 numpy-base 1.24.3 py38h1e6e340_0 nvidia-cublas-cu12 12.1.3.1 pypi_0 pypi nvidia-cuda-cupti-cu12 12.1.105 pypi_0 pypi nvidia-cuda-nvrtc-cu12 12.1.105 pypi_0 pypi nvidia-cuda-runtime-cu12 12.1.105 pypi_0 pypi nvidia-cufft-cu12 11.0.2.54 pypi_0 pypi nvidia-curand-cu12 10.3.2.106 pypi_0 pypi nvidia-cusparse-cu12 12.1.0.106 pypi_0 pypi nvidia-nccl-cu12 2.18.1 pypi_0 pypi nvidia-nvjitlink-cu12 12.3.101 pypi_0 pypi nvidia-nvtx-cu12 12.1.105 pypi_0 pypi oauthlib 3.2.2 py38h06a4308_0 opencv 4.7.0 py38h578d9bd_1 conda-forge opencv-python 4.9.0.80 pypi_0 pypi openh264 2.3.1 hcb278e6_2 conda-forge openjpeg 2.4.0 h3ad879b_0 openssl 3.1.4 hd590300_0 conda-forge optuna 3.5.0 pyhd8ed1ab_0 conda-forge opusfile 0.12 h3358134_2 conda-forge p11-kit 0.24.1 hc5aa10d_0 conda-forge packaging 23.1 py38h06a4308_0 pandas 2.0.3 py38h1128e8f_0 parso 0.8.3 pyhd8ed1ab_0 conda-forge pathvalidate 3.2.0 pypi_0 pypi pcre2 10.42 hebb0a14_0 pexpect 4.9.0 pyhd8ed1ab_0 conda-forge pickleshare 0.7.5 py_1003 conda-forge pillow 10.2.0 pypi_0 pypi pip 23.3.1 py38h06a4308_0 pixman 0.43.0 h59595ed_0 conda-forge platformdirs 3.10.0 py38h06a4308_0 pluggy 1.0.0 py38h06a4308_1 pooch 1.7.0 py38h06a4308_0 portaudio 19.6.0 h7b6447c_4 portmidi 2.0.4 h11f4161_0 conda-forge proglog 0.1.9 py_0 conda-forge prompt-toolkit 3.0.42 pyha770c72_0 conda-forge prompt_toolkit 3.0.42 hd8ed1ab_0 conda-forge protobuf 4.21.12 py38h8dc9893_0 conda-forge psutil 5.9.8 py38h01eb140_0 conda-forge ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge pulseaudio 16.1 hcb278e6_3 conda-forge pulseaudio-client 16.1 h5195f5e_3 conda-forge pulseaudio-daemon 16.1 ha8d29e2_3 conda-forge pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge py-opencv 4.7.0 py38h6f1a3b6_1 conda-forge pyasn1 0.4.8 pyhd3eb1b0_0 pyasn1-modules 0.2.8 py_0 pybind11-abi 4 hd3eb1b0_1 pycosat 0.6.6 py38h5eee18b_0 pycparser 2.21 pyhd3eb1b0_0 pycryptodome 3.15.0 py38h276157c_0 pygame 2.5.2 pypi_0 pypi pygments 2.17.2 pyhd8ed1ab_0 conda-forge pyjwt 2.4.0 py38h06a4308_0 pyopenssl 23.2.0 py38h06a4308_0 pyparsing 3.1.1 pypi_0 pypi pysocks 1.7.1 py38h06a4308_0 pytablewriter 1.2.0 pypi_0 pypi pytest 7.4.4 pypi_0 pypi python 3.8.18 h955ad1f_0 python-dateutil 2.8.2 pyhd3eb1b0_0 python-tzdata 2023.3 pyhd3eb1b0_0 python_abi 3.8 2_cp38 conda-forge pytorch 2.0.0 cuda112py38h5e67e12_200 conda-forge pytorch-gpu 2.0.0 cuda112py38h9871d0b_200 conda-forge pytz 2023.3.post1 py38h06a4308_0 pyvirtualdisplay 3.0 pypi_0 pypi pyyaml 6.0.1 py38h5eee18b_0 pyzmq 25.1.2 py38h34c975a_0 conda-forge qt-main 5.15.8 h5d23da1_6 conda-forge re2 2023.02.01 hcb278e6_0 conda-forge readline 8.2 h5eee18b_0 reproc 14.2.4 h295c915_1 reproc-cpp 14.2.4 h295c915_1 requests 2.31.0 py38h06a4308_0 requests-oauthlib 1.3.0 py_0 rich 13.7.0 pypi_0 pypi rsa 4.7.2 pyhd3eb1b0_1 ruamel.yaml 0.17.21 py38h5eee18b_0 ruamel.yaml.clib 0.2.6 py38h5eee18b_1 sb3-contrib 2.3.0a1 pypi_0 pypi scipy 1.10.1 py38h32ae08f_1 sdl2 2.26.5 h949db6a_0 conda-forge sdl2_image 2.6.3 h7b3d2e9_0 conda-forge sdl2_mixer 2.6.3 h563c3bf_0 conda-forge sdl2_ttf 2.20.2 h44fa107_0 conda-forge setuptools 68.2.2 py38h06a4308_0 shimmy 0.2.1 pypi_0 pypi six 1.16.0 pyhd3eb1b0_1 sleef 3.5.1 h9b69904_2 conda-forge sqlalchemy 2.0.25 py38h5eee18b_0 sqlite 3.41.2 h5eee18b_0 stable-baselines3 2.2.1 pyhd8ed1ab_0 conda-forge stack_data 0.6.2 pyhd8ed1ab_0 conda-forge svt-av1 1.4.1 hcb278e6_0 conda-forge sympy 1.12 py38h06a4308_0 tabledata 1.3.3 pypi_0 pypi tbb 2021.8.0 hdb19cb5_0 tcolorpy 0.1.4 pypi_0 pypi tensorboard 2.15.1 pyhd8ed1ab_0 conda-forge tensorboard-data-server 0.7.0 py38h52d8a92_0 tensorboardx 2.6.2.2 pypi_0 pypi tk 8.6.12 h1ccaba5_0 tomli 2.0.1 pypi_0 pypi torchvision 0.10.1 py38cuda112h04b465a_0_cuda conda-forge tornado 6.3.3 py38h01eb140_1 conda-forge tqdm 4.65.0 py38hb070fc8_0 traitlets 5.14.1 pyhd8ed1ab_0 conda-forge triton 2.1.0 pypi_0 pypi typepy 1.3.2 pypi_0 pypi typing-extensions 4.7.1 py38h06a4308_0 typing_extensions 4.7.1 py38h06a4308_0 tzdata 2023.4 pypi_0 pypi urllib3 1.26.18 py38h06a4308_0 wasabi 1.1.2 pypi_0 pypi wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge werkzeug 2.2.3 py38h06a4308_0 wheel 0.41.2 py38h06a4308_0 widgetsnbextension 4.0.9 pypi_0 pypi x264 1!164.3095 h166bdaf_2 conda-forge x265 3.5 h924138e_3 conda-forge xcb-util 0.4.0 h516909a_0 conda-forge xcb-util-image 0.4.0 h166bdaf_0 conda-forge xcb-util-keysyms 0.4.0 h516909a_0 conda-forge xcb-util-renderutil 0.3.9 h166bdaf_0 conda-forge xcb-util-wm 0.4.1 h516909a_0 conda-forge xkeyboard-config 2.38 h0b41bf4_0 conda-forge xorg-fixesproto 5.0 h7f98852_1002 conda-forge xorg-inputproto 2.3.2 h7f98852_1002 conda-forge xorg-kbproto 1.0.7 h7f98852_1002 conda-forge xorg-libice 1.1.1 hd590300_0 conda-forge xorg-libsm 1.2.4 h7391055_0 conda-forge xorg-libx11 1.8.4 h0b41bf4_0 conda-forge xorg-libxau 1.0.11 hd590300_0 conda-forge xorg-libxext 1.3.4 h0b41bf4_2 conda-forge xorg-libxfixes 5.0.3 h7f98852_1004 conda-forge xorg-libxi 1.7.10 h7f98852_0 conda-forge xorg-libxrender 0.9.10 h7f98852_1003 conda-forge xorg-renderproto 0.11.1 h7f98852_1002 conda-forge xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge xorg-xproto 7.0.31 h27cfd23_1007 xz 5.4.5 h5eee18b_0 yaml 0.2.5 h7b6447c_0 yaml-cpp 0.8.0 h6a678d5_0 yarl 1.9.3 py38h5eee18b_0 zeromq 4.3.5 h59595ed_0 conda-forge zipp 3.17.0 py38h06a4308_0 zlib 1.2.13 hd590300_5 conda-forge zstandard 0.19.0 py38h5eee18b_0 zstd 1.5.5 hc292b87_0 (base) zhuqinghua@lcwt-DSS8440:~/workspace/HighwayEnv-master/scripts$ nvidia-smi Fri Jan 26 14:12:22 2024 +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 535.154.05 Driver Version: 535.154.05 CUDA Version: 12.2 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA GeForce RTX 3090 Off | 00000000:89:00.0 Off | N/A | | 53% 46C P0 110W / 350W | 0MiB / 24576MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 1 NVIDIA GeForce RTX 3090 Off | 00000000:8A:00.0 Off | N/A | | 51% 46C P0 108W / 350W | 0MiB / 24576MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 2 NVIDIA GeForce RTX 3090 Off | 00000000:C0:00.0 Off | N/A | | 46% 42C P0 115W / 350W | 0MiB / 24576MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 3 NVIDIA GeForce RTX 3090 Off | 00000000:C1:00.0 Off | N/A | | 30% 42C P0 97W / 350W | 0MiB / 24576MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | No running processes found | +---------------------------------------------------------------------------------------+ (base) zhuqinghua@lcwt-DSS8440:~/workspace/HighwayEnv-master/scripts$
Anybody help me?
The text was updated successfully, but these errors were encountered:
Set rgb array render mode in sb3_highway_dqn_cnn.py
3966526
Fix #566
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When I run "sb3_highway_dqn_cnn.py", I get errors as below.
My env is as below
Anybody help me?
The text was updated successfully, but these errors were encountered: