我尝试跑步：
conda env create --file environment.yaml
之后我得到以下结果：
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- libbrotlidec==1.0.9=h166bdaf_8
- libwebp-base==1.2.4=h166bdaf_0
- mysql-common==8.0.32=ha901b37_0
- markupsafe==2.1.1=py39hb9d737c_2
- llvmlite==0.39.1=py39h7d9a04d_1
- levenshtein==0.20.9=py39h227be39_0
- zlib==1.2.13=h166bdaf_4
- libgcc-ng==12.2.0=h65d4601_19
- zlib-ng==2.0.6=h166bdaf_0
- matplotlib-base==3.6.2=py39hf9fd14e_0
- contourpy==1.0.6=py39hf939315_0
- tk==8.6.12=h27826a3_0
- lz4==4.2.0=py39h724f13c_0
- xorg-libxdmcp==1.1.3=h7f98852_0
- zstd==1.5.2=h6239696_4
- mkl==2020.4=h726a3e6_304
- pthread-stubs==0.4=h36c2ea0_1001
- brotli==1.0.9=h166bdaf_8
- umap-learn==0.5.3=py39hf3d152e_0
- libbrotlienc==1.0.9=h166bdaf_8
- pillow==9.1.1=py39hae2aec6_1
- libprotobuf==3.21.12=h3eb15da_0
- cryptography==39.0.0=py39h079d5ae_0
- scikit-image==0.19.3=py39h1832856_1
- jupyter_core==5.1.1=py39hf3d152e_0
- charls==2.3.4=h9c3ff4c_0
- libavif==0.10.1=h166bdaf_0
- grpcio==1.51.1=py39h8c60046_0
- libnghttp2==1.47.0=hff17c54_1
- h5py==3.7.0=nompi_py39h817c9c5_102
- debugpy==1.6.4=py39h5a03fae_0
- lame==3.100=h166bdaf_1003
- blosc==1.21.3=hafa529b_0
- libzlib==1.2.13=h166bdaf_4
- mysql-libs==8.0.32=hd7da12d_0
- libhwloc==2.8.0=h32351e8_1
- libxml2==2.10.3=h7463322_0
- eigen==3.4.0=h4bd325d_0
- brunsli==0.1=h9c3ff4c_0
- xorg-libxau==1.0.9=h7f98852_0
- mysql-connector-python==8.0.31=py39hfa0bd35_2
- cudatoolkit==11.3.1=h2bc3f7f_2
- zfp==0.5.5=h9c3ff4c_8
- libllvm11==11.1.0=he0ac6c6_5
- _openmp_mutex==4.5=2_kmp_llvm
- pandoc==2.19.2=h32600fe_1
- numpy==1.23.5=py39h3d75532_0
- ca-certificates==2022.12.7=ha878542_0
- unicodedata2==15.0.0=py39hb9d737c_0
- libitk==5.3.0=hcedbc38_0
- libabseil==20220623.0=cxx17_h05df665_6
- tensorboard-data-server==0.6.1=py39h3ccb8fc_4
- nettle==3.6=he412f7d_0
- lz4-c==1.9.3=h9c3ff4c_1
- libedit==3.1.20191231=he28a2e2_2
- aom==3.3.0=h27087fc_1
- libgrpc==1.51.1=h30feacc_0
- argon2-cffi-bindings==21.2.0=py39hb9d737c_3
- libxcb==1.13=h7f98852_1004
- gnutls==3.6.13=h85f3911_1
- pyzmq==24.0.1=py39headdf64_1
- cbgen==1.0.1=py39hb9d737c_2
- expat==2.5.0=h27087fc_0
- hdf5==1.12.2=nompi_h4df4325_101
- libzopfli==1.0.3=h9c3ff4c_0
- libdeflate==1.12=h166bdaf_0
- simpleitk==2.2.1=py39hdaa313e_1
- giflib==5.2.1=h36c2ea0_2
- libgfortran-ng==12.2.0=h69a702a_19
- c-ares==1.18.1=h7f98852_0
- bzip2==1.0.8=h7f98852_4
- libev==4.33=h516909a_1
- rapidfuzz==2.13.7=py39h227be39_0
- almosthere==2.0.2=h46c0cb4_1
- libbrotlicommon==1.0.9=h166bdaf_8
- keyutils==1.6.1=h166bdaf_0
- tornado==6.2=py39hb9d737c_1
- imagecodecs==2022.2.22=py39hfcd4fa2_6
- libsodium==1.0.18=h36c2ea0_1
- cffi==1.15.1=py39he91dace_3
- libstdcxx-ng==12.2.0=h46fd767_19
- lcms2==2.14=h6ed2654_0
- promise==2.3=py39hf3d152e_7
- libpng==1.6.39=h753d276_0
- icu==70.1=h27087fc_0
- psutil==5.9.4=py39hb9d737c_0
- aiohttp==3.8.3=py39hb9d737c_1
- fftw==3.3.10=nompi_hf0379b8_106
- _libgcc_mutex==0.1=conda_forge
- yaml==0.2.5=h7f98852_2
- libgfortran5==12.2.0=h337968e_19
- protobuf==4.21.12=py39h227be39_0
- setuptools==59.5.0=py39hf3d152e_0
- yarl==1.8.2=py39hb9d737c_0
- python==3.9.15=hba424b6_0_cpython
- freetype==2.12.1=hca18f0e_1
- brotlipy==0.7.0=py39hb9d737c_1005
- lerc==3.0=h9c3ff4c_0
- llvm-openmp==15.0.6=he0ac6c6_0
- libnsl==2.0.0=h7f98852_0
- pywavelets==1.3.0=py39h2ae25f5_2
- gmp==6.2.1=h58526e2_0
- ncurses==6.3=h27087fc_1
- bgen-reader==4.0.8=py39hf3d152e_0
- ld_impl_linux-64==2.39=hcc3a1bd_1
- libtiff==4.4.0=hc85c160_1
- bgen==4.1.3=ha0ad84f_0
- wrapt==1.14.1=py39hb9d737c_1
- openh264==2.1.1=h780b84a_0
- scikit-learn==1.2.0=py39h86b2a18_0
- kiwisolver==1.4.4=py39hf939315_1
- scipy==1.8.1=py39h8ba3f38_2
- libiconv==1.17=h166bdaf_0
- libssh2==1.10.0=hf14f497_3
- zeromq==4.3.4=h9c3ff4c_1
- pytorch==1.11.0=py3.9_cuda11.3_cudnn8.2.0_0
- ffmpeg==4.3=hf484d3e_0
- cytoolz==0.12.0=py39hb9d737c_1
- libsqlite==3.40.0=h753d276_0
- openssl==3.0.7=h0b41bf4_1
- brotli-bin==1.0.9=h166bdaf_8
- msgpack-python==1.0.4=py39hf939315_1
- jpeg==9e=h166bdaf_2
- brotli-python==1.0.9=py39h5a03fae_8
- jxrlib==1.1=h7f98852_2
- statsmodels==0.13.5=py39h2ae25f5_2
- c-blosc2==2.6.1=hf91038e_0
- openjpeg==2.4.0=hb52868f_1
- libuv==1.44.2=h166bdaf_0
- frozenlist==1.3.3=py39hb9d737c_0
- libwebp==1.2.4=h522a892_0
- re2==2022.06.01=h27087fc_1
- snappy==1.1.9=hbd366e4_2
- libcurl==7.87.0=hdc1c0ab_0
- krb5==1.20.1=h81ceb04_0
- pyyaml==6.0=py39hb9d737c_5
- multidict==6.0.4=py39h72bdee0_0
- numba==0.56.4=py39h61ddf18_0
- libaec==1.0.6=h9c3ff4c_0
- readline==8.1.2=h0f457ee_0
- pyrsistent==0.19.2=py39hb9d737c_0
- libuuid==2.32.1=h7f98852_1000
- tbb==2021.7.0=h924138e_1
- xz==5.2.6=h166bdaf_0
- fonttools==4.38.0=py39hb9d737c_1
- pandas==1.5.2=py39h4661b88_0
- setproctitle==1.3.2=py39hb9d737c_1
- libffi==3.4.2=h7f98852_5
- cfitsio==4.1.0=hd9d235c_0
为什么会出现这个问题？我如何修复它以在以下地址运行该项目：
https://github.com/paulhager/MMCL-Tabular-Imaging/blob/main/environment.yaml
我尝试添加频道但不起作用...
问题在于所有软件包均适用于 Linux-64 架构。 您将需要使用包含在 Windows 上运行的软件包的需求文件，或者需要安装 WSL2 才能在 Windows 中运行 Linux。
通过查看导入，以下是实际导入的包：
name: selfsuper
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- hydra-core
- ipykernel
- jupyter
- lightly
- lightly-utils
- lightning-bolts
- numpy
- omegaconf
- pandas
- pytorch
- pytorch-lightning
- scikit-learn
- seaborn
- torchmetrics
- torchvision
- wandb