T-LBO conda environment PackageNotFound errors (Windows)

[sgbaird]

(base) C:\Users\sterg>git clone https://github.com/huawei-noah/HEBO.git
Cloning into 'HEBO'...
remote: Enumerating objects: 845, done.
remote: Counting objects: 100% (27/27), done.
remote: Compressing objects: 100% (17/17), done.
remote: Total 845 (delta 13), reused 10 (delta 10), pack-reused 818
Receiving objects: 100% (845/845), 10.13 MiB | 3.98 MiB/s, done.
Resolving deltas: 100% (317/317), done.

(base) C:\Users\sterg>cd HEBO

(base) C:\Users\sterg\HEBO>conda env create -f lsbo_metric_env.yml

EnvironmentFileNotFound: 'C:\Users\sterg\HEBO\lsbo_metric_env.yml' file not found


(base) C:\Users\sterg\HEBO>cd T-LBO

(base) C:\Users\sterg\HEBO\T-LBO>conda env create -f lsbo_metric_env.yml
Collecting package metadata (repodata.json): done
Solving environment: failed

ResolvePackageNotFound:
  - certifi==2020.12.5=py37h06a4308_0
  - libpng==1.6.37=hbc83047_0
  - tensorflow-gpu==2.2.0=h0d30ee6_0
  - libgfortran-ng==7.3.0=hdf63c60_0
  - numpy-base==1.19.1=py37hfa32c7d_0
  - expat==2.2.10=he6710b0_2
  - tensorflow==2.2.0=gpu_py37h1a511ff_0
  - setuptools==50.3.0=py37hb0f4dca_1
  - sqlite==3.33.0=h62c20be_0
  - libprotobuf==3.13.0.1=hd408876_0
  - lcms2==2.11=h396b838_0
  - ninja==1.10.1=py37hfd86e86_0
  - pandas==1.1.3=py37he6710b0_0
  - bzip2==1.0.8=h7b6447c_0
  - wrapt==1.12.1=py37h7b6447c_1
  - yaml==0.2.5=h7b6447c_0
  - grpcio==1.31.0=py37hf8bcb03_0
  - pyyaml==5.3.1=py37h7b6447c_1
  - cairo==1.14.12=h8948797_3
  - fontconfig==2.13.0=h9420a91_0
  - cudatoolkit==10.1.243=h6bb024c_0
  - multidict==4.7.6=py37h7b6447c_1
  - sip==4.19.8=py37hf484d3e_0
  - mkl_fft==1.2.0=py37h23d657b_0
  - zstd==1.4.5=h9ceee32_0
  - kiwisolver==1.2.0=py37hfd86e86_0
  - pillow==8.0.0=py37h9a89aac_0
  - c-ares==1.16.1=h7b6447c_0
  - pytorch==1.7.1=py3.7_cuda10.1.243_cudnn7.6.3_0
  - mkl_random==1.1.1=py37h0573a6f_0
  - python==3.7.9=h7579374_0
  - libxml2==2.9.10=he19cac6_1
  - protobuf==3.13.0.1=py37he6710b0_1
  - tensorflow-base==2.2.0=gpu_py37h8a81be8_0
  - openssl==1.1.1k=h27cfd23_0
  - xz==5.2.5=h7b6447c_0
  - tornado==6.0.4=py37h7b6447c_1
  - rdkit==2020.03.3.0=py37hc20afe1_1
  - regex==2020.10.15=py37h7b6447c_0
  - libuuid==1.0.3=h1bed415_2
  - lz4-c==1.9.2=heb0550a_3
  - libxcb==1.14=h7b6447c_0
  - libboost==1.67.0=h46d08c1_4
  - brotlipy==0.7.0=py37h7b6447c_1000
  - cupti==10.1.168=0
  - mkl-service==2.3.0=py37he904b0f_0
  - dbus==1.13.18=hb2f20db_0
  - scikit-learn==0.23.2=py37h0573a6f_0
  - freetype==2.10.3=h5ab3b9f_0
  - libedit==3.1.20191231=h14c3975_1
  - libtiff==4.1.0=h2733197_1
  - pyqt==5.9.2=py37h05f1152_2
  - matplotlib-base==3.3.1=py37h817c723_0
  - ca-certificates==2021.4.13=h06a4308_1
  - ncurses==6.2=he6710b0_1
  - libstdcxx-ng==9.1.0=hdf63c60_0
  - libgcc-ng==9.1.0=hdf63c60_0
  - zlib==1.2.11=h7b6447c_3
  - glib==2.66.1=h92f7085_0
  - hdf5==1.10.6=hb1b8bf9_0
  - cffi==1.14.3=py37he30daa8_0
  - qt==5.9.7=h5867ecd_1
  - icu==58.2=he6710b0_3
  - gstreamer==1.14.0=hb31296c_0
  - h5py==2.10.0=py37hd6299e0_1
  - tk==8.6.10=hbc83047_0
  - jpeg==9b=h024ee3a_2
  - pixman==0.40.0=h7b6447c_0
  - cryptography==3.1.1=py37h1ba5d50_0
  - libffi==3.3=he6710b0_2
  - ld_impl_linux-64==2.33.1=h53a641e_7
  - libuv==1.40.0=h7b6447c_0
  - readline==8.0=h7b6447c_0
  - py-boost==1.67.0=py37h04863e7_4
  - numpy==1.19.1=py37hbc911f0_0
  - pcre==8.44=he6710b0_0
  - gst-plugins-base==1.14.0=hbbd80ab_1
  - aiohttp==3.6.3=py37h7b6447c_0

[sgbaird]

The env file is pretty beastly https://github.com/huawei-noah/HEBO/blob/master/T-LBO/lsbo_metric_env.yml