(base) PS C:\Users\gg葱> conda env list
# conda environments:
#
pytorch1 C:\Users\gg葱\.conda\envs\pytorch1
base * D:\ANCD
D:\Documents\LMm\env\pytorch2
(base) PS C:\Users\gg葱> conda create --prefix=D:/Documents/LMm/env/ag python=3.10
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 23.7.4
latest version: 24.3.0
Please update conda by running
$ conda update -n base -c defaults conda
Or to minimize the number of packages updated during conda update use
conda install conda=24.3.0
## Package Plan ##
environment location: D:\Documents\LMm\env\ag
added / updated specs:
- python=3.10
The following packages will be downloaded:
package | build
---------------------------|-----------------
bzip2-1.0.8 | h2bbff1b_5 78 KB defaults
pip-23.3.1 | py310haa95532_0 2.9 MB defaults
python-3.10.14 | he1021f5_0 15.9 MB defaults
setuptools-68.2.2 | py310haa95532_0 942 KB defaults
wheel-0.41.2 | py310haa95532_0 127 KB defaults
------------------------------------------------------------
Total: 19.9 MB
The following NEW packages will be INSTALLED:
bzip2 pkgs/main/win-64::bzip2-1.0.8-h2bbff1b_5
ca-certificates pkgs/main/win-64::ca-certificates-2024.3.11-haa95532_0
libffi pkgs/main/win-64::libffi-3.4.4-hd77b12b_0
openssl pkgs/main/win-64::openssl-3.0.13-h2bbff1b_0
pip pkgs/main/win-64::pip-23.3.1-py310haa95532_0
python pkgs/main/win-64::python-3.10.14-he1021f5_0
setuptools pkgs/main/win-64::setuptools-68.2.2-py310haa95532_0
sqlite pkgs/main/win-64::sqlite-3.41.2-h2bbff1b_0
tk pkgs/main/win-64::tk-8.6.12-h2bbff1b_0
tzdata pkgs/main/noarch::tzdata-2024a-h04d1e81_0
vc pkgs/main/win-64::vc-14.2-h21ff451_1
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
wheel pkgs/main/win-64::wheel-0.41.2-py310haa95532_0
xz pkgs/main/win-64::xz-5.4.6-h8cc25b3_0
zlib pkgs/main/win-64::zlib-1.2.13-h8cc25b3_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate D:\Documents\LMm\env\ag
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) PS C:\Users\gg葱> conda activate D:\Documents\LMm\env\ag
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> mamba install -c conda-forge autogluon
mamba : 无法将“mamba”项识别为 cmdlet、函数、脚本文件或可运行程序的名称。请检查名称的拼写，如果包括路径，请确保路径正
确，然后再试一次。
所在位置 行:1 字符: 1
+ mamba install -c conda-forge autogluon
+ ~~~~~
+ CategoryInfo : ObjectNotFound: (mamba:String) [], CommandNotFoundException
+ FullyQualifiedErrorId : CommandNotFoundException
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> conda install -c conda-forge mamba
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 23.7.4
latest version: 24.3.0
Please update conda by running
$ conda update -n base -c defaults conda
Or to minimize the number of packages updated during conda update use
conda install conda=24.3.0
## Package Plan ##
environment location: D:\Documents\LMm\env\ag
added / updated specs:
- mamba
The following packages will be downloaded:
package | build
---------------------------|-----------------
brotli-python-1.1.0 | py310h00ffb61_1 314 KB conda-forge
cffi-1.16.0 | py310h8d17308_0 232 KB conda-forge
charset-normalizer-3.3.2 | pyhd8ed1ab_0 46 KB conda-forge
colorama-0.4.6 | pyhd8ed1ab_0 25 KB conda-forge
conda-24.3.0 | py310h5588dad_0 921 KB conda-forge
idna-3.6 | pyhd8ed1ab_0 49 KB conda-forge
jsonpointer-2.4 | py310h5588dad_3 32 KB conda-forge
libmambapy-1.5.8 | py310h04f2035_0 330 KB conda-forge
lz4-c-1.9.4 | hcfcfb64_0 131 KB conda-forge
mamba-1.5.8 | py310hd9d798f_0 67 KB conda-forge
menuinst-2.0.2 | py310h00ffb61_0 100 KB conda-forge
packaging-24.0 | pyhd8ed1ab_0 49 KB conda-forge
platformdirs-4.2.0 | pyhd8ed1ab_0 20 KB conda-forge
pycosat-0.6.6 | py310h8d17308_0 74 KB conda-forge
pycparser-2.22 | pyhd8ed1ab_0 103 KB conda-forge
pysocks-1.7.1 | pyh0701188_6 19 KB conda-forge
python_abi-3.10 | 2_cp310 4 KB conda-forge
requests-2.31.0 | pyhd8ed1ab_0 55 KB conda-forge
ruamel.yaml-0.18.6 | py310h8d17308_0 199 KB conda-forge
ruamel.yaml.clib-0.2.8 | py310h8d17308_0 97 KB conda-forge
tqdm-4.66.2 | pyhd8ed1ab_0 87 KB conda-forge
truststore-0.8.0 | pyhd8ed1ab_0 20 KB conda-forge
urllib3-2.2.1 | pyhd8ed1ab_0 92 KB conda-forge
win_inet_pton-1.1.0 | pyhd8ed1ab_6 8 KB conda-forge
zstandard-0.22.0 | py310h0009e47_0 305 KB conda-forge
zstd-1.5.5 | h12be248_0 335 KB conda-forge
------------------------------------------------------------
Total: 3.6 MB
The following NEW packages will be INSTALLED:
archspec conda-forge/noarch::archspec-0.2.3-pyhd8ed1ab_0
boltons conda-forge/noarch::boltons-24.0.0-pyhd8ed1ab_0
brotli-python conda-forge/win-64::brotli-python-1.1.0-py310h00ffb61_1
certifi conda-forge/noarch::certifi-2024.2.2-pyhd8ed1ab_0
cffi conda-forge/win-64::cffi-1.16.0-py310h8d17308_0
charset-normalizer conda-forge/noarch::charset-normalizer-3.3.2-pyhd8ed1ab_0
colorama conda-forge/noarch::colorama-0.4.6-pyhd8ed1ab_0
conda conda-forge/win-64::conda-24.3.0-py310h5588dad_0
conda-libmamba-so~ conda-forge/noarch::conda-libmamba-solver-24.1.0-pyhd8ed1ab_0
conda-package-han~ conda-forge/noarch::conda-package-handling-2.2.0-pyh38be061_0
conda-package-str~ conda-forge/noarch::conda-package-streaming-0.9.0-pyhd8ed1ab_0
distro conda-forge/noarch::distro-1.9.0-pyhd8ed1ab_0
fmt conda-forge/win-64::fmt-10.2.1-h181d51b_0
idna conda-forge/noarch::idna-3.6-pyhd8ed1ab_0
jsonpatch conda-forge/noarch::jsonpatch-1.33-pyhd8ed1ab_0
jsonpointer conda-forge/win-64::jsonpointer-2.4-py310h5588dad_3
krb5 conda-forge/win-64::krb5-1.21.2-heb0366b_0
libarchive conda-forge/win-64::libarchive-3.7.2-h313118b_1
libcurl conda-forge/win-64::libcurl-8.7.1-hd5e4a3a_0
libiconv conda-forge/win-64::libiconv-1.17-hcfcfb64_2
libmamba conda-forge/win-64::libmamba-1.5.8-h3f09ed1_0
libmambapy conda-forge/win-64::libmambapy-1.5.8-py310h04f2035_0
libsolv conda-forge/win-64::libsolv-0.7.28-h12be248_2
libssh2 conda-forge/win-64::libssh2-1.11.0-h7dfc565_0
libxml2 conda-forge/win-64::libxml2-2.12.6-hc3477c8_1
libzlib conda-forge/win-64::libzlib-1.2.13-hcfcfb64_5
lz4-c conda-forge/win-64::lz4-c-1.9.4-hcfcfb64_0
lzo conda-forge/win-64::lzo-2.10-he774522_1000
mamba conda-forge/win-64::mamba-1.5.8-py310hd9d798f_0
menuinst conda-forge/win-64::menuinst-2.0.2-py310h00ffb61_0
packaging conda-forge/noarch::packaging-24.0-pyhd8ed1ab_0
platformdirs conda-forge/noarch::platformdirs-4.2.0-pyhd8ed1ab_0
pluggy conda-forge/noarch::pluggy-1.4.0-pyhd8ed1ab_0
pybind11-abi conda-forge/noarch::pybind11-abi-4-hd8ed1ab_3
pycosat conda-forge/win-64::pycosat-0.6.6-py310h8d17308_0
pycparser conda-forge/noarch::pycparser-2.22-pyhd8ed1ab_0
pysocks conda-forge/noarch::pysocks-1.7.1-pyh0701188_6
python_abi conda-forge/win-64::python_abi-3.10-2_cp310
reproc conda-forge/win-64::reproc-14.2.4.post0-hcfcfb64_1
reproc-cpp conda-forge/win-64::reproc-cpp-14.2.4.post0-h63175ca_1
requests conda-forge/noarch::requests-2.31.0-pyhd8ed1ab_0
ruamel.yaml conda-forge/win-64::ruamel.yaml-0.18.6-py310h8d17308_0
ruamel.yaml.clib conda-forge/win-64::ruamel.yaml.clib-0.2.8-py310h8d17308_0
tqdm conda-forge/noarch::tqdm-4.66.2-pyhd8ed1ab_0
truststore conda-forge/noarch::truststore-0.8.0-pyhd8ed1ab_0
ucrt conda-forge/win-64::ucrt-10.0.22621.0-h57928b3_0
urllib3 conda-forge/noarch::urllib3-2.2.1-pyhd8ed1ab_0
vc14_runtime conda-forge/win-64::vc14_runtime-14.38.33130-h82b7239_18
win_inet_pton conda-forge/noarch::win_inet_pton-1.1.0-pyhd8ed1ab_6
yaml-cpp conda-forge/win-64::yaml-cpp-0.8.0-h63175ca_0
zstandard conda-forge/win-64::zstandard-0.22.0-py310h0009e47_0
zstd conda-forge/win-64::zstd-1.5.5-h12be248_0
The following packages will be UPDATED:
openssl pkgs/main::openssl-3.0.13-h2bbff1b_0 --> conda-forge::openssl-3.2.1-hcfcfb64_1
vs2015_runtime pkgs/main::vs2015_runtime-14.27.29016~ --> conda-forge::vs2015_runtime-14.38.33130-hcb4865c_18
zlib pkgs/main::zlib-1.2.13-h8cc25b3_0 --> conda-forge::zlib-1.2.13-hcfcfb64_5
The following packages will be SUPERSEDED by a higher-priority channel:
ca-certificates pkgs/main::ca-certificates-2024.3.11-~ --> conda-forge::ca-certificates-2024.2.2-h56e8100_0
done
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> mamba install -c conda-forge autogluon
Looking for: ['autogluon']
warning libmamba Could not parse mod/etag header
warning libmamba Could not parse mod/etag header
warning libmamba Could not parse mod/etag header
pkgs/main/win-64 (check zst) Checked 0.6s
warning libmamba Could not parse mod/etag header
pkgs/main/noarch (check zst) Checked 0.2s
warning libmamba Could not parse mod/etag header
pkgs/r/win-64 (check zst) Checked 0.2s
warning libmamba Could not parse mod/etag header
pkgs/r/noarch (check zst) Checked 0.2s
warning libmamba Could not parse mod/etag header
pkgs/msys2/win-64 (check zst) Checked 0.2s
warning libmamba Could not parse mod/etag header
pkgs/msys2/noarch (check zst) Checked 0.2s
pkgs/main/noarch 704.5kB @ 267.6kB/s 2.6s
pkgs/r/win-64 633.1kB @ 240.5kB/s 2.6s
pkgs/main/win-64 5.3MB @ 1.9MB/s 2.8s
pkgs/msys2/noarch 103.0 B @ 35.0 B/s 0.2s
pkgs/msys2/win-64 35.1kB @ 12.1kB/s 0.3s
pkgs/r/noarch 2.1MB @ 565.6kB/s 0.8s
conda-forge/noarch 14.1MB @ 1.4MB/s 10.1s
conda-forge/win-64 21.5MB @ 1.4MB/s 14.9s
Pinned packages:
- python 3.10.*
Transaction
Prefix: D:\Documents\LMm\env\ag
Updating specs:
- autogluon
- ca-certificates
- certifi
- openssl
Package Version Build Channel Size
------------------------------------------------------------------------------------------------------
Install:
------------------------------------------------------------------------------------------------------
+ tenacity 8.2.3 pyhd8ed1ab_0 conda-forge 23kB
+ joblib 1.3.2 pyhd8ed1ab_0 conda-forge 221kB
+ networkx 3.2.1 pyhd8ed1ab_0 conda-forge 1MB
+ click 8.1.7 win_pyh7428d3b_0 conda-forge 85kB
+ ordered-set 4.1.0 pyhd8ed1ab_0 conda-forge 11kB
+ zipp 3.17.0 pyhd8ed1ab_0 conda-forge 19kB
+ websocket-client 1.7.0 pyhd8ed1ab_0 conda-forge 47kB
+ fsspec 2023.12.2 pyhca7485f_0 conda-forge 127kB
+ python-multipart 0.0.9 pyhd8ed1ab_0 conda-forge 26kB
+ traitlets 5.14.2 pyhd8ed1ab_0 conda-forge 110kB
+ typing_extensions 4.10.0 pyha770c72_0 conda-forge 37kB
+ poetry-core 1.9.0 pyhd8ed1ab_0 conda-forge 227kB
+ python-editor 1.0.4 py_0 conda-forge 9kB
+ readchar 4.0.5 pyhd8ed1ab_0 conda-forge 14kB
+ toolz 0.12.1 pyhd8ed1ab_0 conda-forge 52kB
+ fastprogress 1.0.3 pyhd8ed1ab_0 conda-forge 17kB
+ fastcore 1.5.29 pyhd8ed1ab_0 conda-forge 63kB
+ jmespath 1.0.1 pyhd8ed1ab_0 conda-forge 21kB
+ defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge Cached
+ text-unidecode 1.3 pyhd8ed1ab_1 conda-forge 65kB
+ types-python-dateutil 2.9.0.20240316 pyhd8ed1ab_0 conda-forge 22kB
+ sniffio 1.3.1 pyhd8ed1ab_0 conda-forge 15kB
+ exceptiongroup 1.2.0 pyhd8ed1ab_2 conda-forge 21kB
+ itsdangerous 2.1.2 pyhd8ed1ab_0 conda-forge 16kB
+ typish 1.9.3 pyhd8ed1ab_0 conda-forge 20kB
+ six 1.16.0 pyh6c4a22f_0 conda-forge 14kB
+ wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge 33kB
+ langcodes 3.3.0 pyhd8ed1ab_0 conda-forge 160kB
+ smart_open 6.4.0 pyhd8ed1ab_0 conda-forge 48kB
+ spacy-loggers 1.0.5 pyhd8ed1ab_0 conda-forge 22kB
+ spacy-legacy 3.0.12 pyhd8ed1ab_0 conda-forge 29kB
+ threadpoolctl 3.4.0 pyhc1e730c_0 conda-forge 23kB
+ python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge 144kB
+ pytz 2024.1 pyhd8ed1ab_0 conda-forge 189kB
+ cycler 0.12.1 pyhd8ed1ab_0 conda-forge 13kB
+ pyparsing 3.1.2 pyhd8ed1ab_0 conda-forge 89kB
+ munkres 1.1.4 pyh9f0ad1d_0 conda-forge 12kB
+ cloudpickle 3.0.0 pyhd8ed1ab_0 conda-forge 25kB
+ filelock 3.13.3 pyhd8ed1ab_0 conda-forge 16kB
+ shellingham 1.5.4 pyhd8ed1ab_0 conda-forge 15kB
+ dataclasses 0.8 pyhc8e2a94_3 conda-forge 10kB
+ absl-py 2.1.0 pyhd8ed1ab_0 conda-forge 107kB
+ mpmath 1.3.0 pyhd8ed1ab_0 conda-forge 438kB
+ pygments 2.17.2 pyhd8ed1ab_0 conda-forge 860kB
+ crashtest 0.4.1 pyhd8ed1ab_0 conda-forge 10kB
+ tomli 2.0.1 pyhd8ed1ab_0 conda-forge 16kB
+ tomlkit 0.12.4 pyha770c72_0 conda-forge 37kB
+ pkginfo 1.10.0 pyhd8ed1ab_0 conda-forge 28kB
+ python-fastjsonschema 2.19.1 pyhd8ed1ab_0 conda-forge Cached
+ python-installer 0.7.0 pyhd8ed1ab_0 conda-forge 233kB
+ requests-toolbelt 1.0.0 pyhd8ed1ab_0 conda-forge 44kB
+ trove-classifiers 2024.3.25 pyhd8ed1ab_0 conda-forge 18kB
+ ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge 17kB
+ tabulate 0.9.0 pyhd8ed1ab_1 conda-forge 36kB
+ antlr-python-runtime 4.9.3 pyhd8ed1ab_1 conda-forge 101kB
+ mdurl 0.1.2 pyhd8ed1ab_0 conda-forge 15kB
+ pyjwt 2.8.0 pyhd8ed1ab_1 conda-forge 25kB
+ attrs 23.2.0 pyh71513ae_0 conda-forge Cached
+ pkgutil-resolve-name 1.3.10 pyhd8ed1ab_1 conda-forge Cached
+ dill 0.3.8 pyhd8ed1ab_0 conda-forge 88kB
+ soupsieve 2.5 pyhd8ed1ab_1 conda-forge Cached
+ distlib 0.3.8 pyhd8ed1ab_0 conda-forge 275kB
+ locket 1.0.0 pyhd8ed1ab_0 conda-forge 8kB
+ more-itertools 10.2.0 pyhd8ed1ab_0 conda-forge 54kB
+ font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge 397kB
+ font-ttf-inconsolata 3.000 h77eed37_0 conda-forge 97kB
+ font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge 701kB
+ font-ttf-ubuntu 0.83 h77eed37_1 conda-forge 2MB
+ cuda-version 11.8 h70ddcb2_3 conda-forge 21kB
+ plotly 5.19.0 pyhd8ed1ab_0 conda-forge 6MB
+ importlib_resources 6.4.0 pyhd8ed1ab_0 conda-forge 33kB
+ importlib-metadata 7.1.0 pyha770c72_0 conda-forge 27kB
+ h11 0.14.0 pyhd8ed1ab_0 conda-forge 48kB
+ lightning-utilities 0.11.2 pyhd8ed1ab_0 conda-forge 27kB
+ typing-extensions 4.10.0 hd8ed1ab_0 conda-forge 10kB
+ poetry-plugin-export 1.7.1 pyhd8ed1ab_0 conda-forge 16kB
+ fastdownload 0.0.7 pyhd8ed1ab_0 conda-forge 18kB
+ python-slugify 8.0.4 pyhd8ed1ab_0 conda-forge 15kB
+ anyio 3.7.1 pyhd8ed1ab_0 conda-forge 97kB
+ responses 0.18.0 pyhd8ed1ab_0 conda-forge 36kB
+ python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge 223kB
+ sympy 1.12 pyh04b8f61_3 conda-forge 4MB
+ pyproject_hooks 1.0.0 pyhd8ed1ab_0 conda-forge 14kB
+ pexpect 4.9.0 pyhd8ed1ab_0 conda-forge 54kB
+ markdown-it-py 3.0.0 pyhd8ed1ab_0 conda-forge 64kB
+ beautifulsoup4 4.12.3 pyha770c72_0 conda-forge Cached
+ virtualenv 20.25.1 pyhd8ed1ab_0 conda-forge 3MB
+ partd 1.4.1 pyhd8ed1ab_0 conda-forge 21kB
+ jaraco.classes 3.3.1 pyhd8ed1ab_0 conda-forge 12kB
+ fonts-conda-forge 1 0 conda-forge 4kB
+ cloudpathlib 0.16.0 pyhd8ed1ab_0 conda-forge 37kB
+ importlib_metadata 7.1.0 hd8ed1ab_0 conda-forge 9kB
+ markdown 3.6 pyhd8ed1ab_0 conda-forge 78kB
+ async-timeout 4.0.3 pyhd8ed1ab_0 conda-forge 11kB
+ annotated-types 0.6.0 pyhd8ed1ab_0 conda-forge 17kB
+ starlette 0.36.3 pyhd8ed1ab_0 conda-forge 58kB
+ dateutils 0.6.12 py_0 conda-forge 9kB
+ croniter 1.3.15 pyhd8ed1ab_0 conda-forge 36kB
+ arrow 1.3.0 pyhd8ed1ab_0 conda-forge 100kB
+ botocore 1.34.74 pyge310_1234567_0 conda-forge 7MB
+ python-build 1.2.1 pyhd8ed1ab_0 conda-forge 24kB
+ rich 13.7.1 pyhd8ed1ab_0 conda-forge 184kB
+ gdown 5.1.0 pyhd8ed1ab_0 conda-forge 21kB
+ fonts-conda-ecosystem 1 0 conda-forge 4kB
+ starsessions 1.3.0 pyhd8ed1ab_0 conda-forge 13kB
+ s3transfer 0.10.1 pyhd8ed1ab_0 conda-forge 63kB
+ typer 0.9.4 pyhd8ed1ab_0 conda-forge 80kB
+ boto3 1.34.74 pyhd8ed1ab_0 conda-forge 81kB
+ ujson 5.9.0 py310h00ffb61_0 conda-forge 47kB
+ psutil 5.9.8 py310h8d17308_0 conda-forge 386kB
+ websockets 11.0.3 py310h8d17308_1 conda-forge 163kB
+ orjson 3.9.15 py310h32a15e0_0 conda-forge 189kB
+ catalogue 2.0.10 py310h5588dad_0 conda-forge 36kB
+ cymem 2.0.8 py310h00ffb61_1 conda-forge 43kB
+ murmurhash 1.0.10 py310h00ffb61_1 conda-forge 31kB
+ wasabi 1.1.2 py310h5588dad_0 conda-forge 48kB
+ libabseil 20240116.1 cxx17_h63175ca_2 conda-forge 2MB
+ yaml 0.2.5 h8ffe710_2 conda-forge 63kB
+ libpng 1.6.43 h19919ed_0 conda-forge 348kB
+ libjpeg-turbo 2.1.5.1 hcfcfb64_1 conda-forge 688kB
+ lerc 4.0.0 h63175ca_0 conda-forge 194kB
+ libdeflate 1.19 hcfcfb64_0 conda-forge 153kB
+ libwebp-base 1.3.2 hcfcfb64_0 conda-forge 269kB
+ llvmlite 0.42.0 py310hb84602e_1 conda-forge 17MB
+ intel-openmp 2023.2.0 h57928b3_50497 conda-forge 3MB
+ kiwisolver 1.4.5 py310h232114e_1 conda-forge 56kB
+ pthreads-win32 2.9.1 hfa6e2cd_3 conda-forge 144kB
+ libbrotlicommon 1.1.0 hcfcfb64_1 conda-forge 71kB
+ unicodedata2 15.1.0 py310h8d17308_0 conda-forge 370kB
+ msys2-conda-epoch 20160418 1 conda-forge 3kB
+ libuv 1.48.0 hcfcfb64_0 conda-forge 290kB
+ ninja 1.11.1 h91493d7_0 conda-forge 279kB
+ regex 2023.12.25 py310h8d17308_0 conda-forge 308kB
+ tokenizers 0.13.3 py310h2790ac9_0 conda-forge 3MB
+ safetensors 0.4.2 py310h87d50f1_0 conda-forge 254kB
+ charls 2.4.2 h1537add_0 conda-forge 96kB
+ tensorboard-data-server 0.7.0 py310h5588dad_1 conda-forge 18kB
+ icu 73.2 h63175ca_0 conda-forge 13MB
+ dulwich 0.21.7 py310h8d17308_0 conda-forge 742kB
+ pyrsistent 0.20.0 py310h8d17308_0 conda-forge 94kB
+ ansicon 1.89.0 py310h5588dad_7 conda-forge 65kB
+ markupsafe 2.1.5 py310h8d17308_0 conda-forge 27kB
+ xxhash 0.8.2 hcfcfb64_0 conda-forge 103kB
+ libutf8proc 2.8.0 h82a8f57_0 conda-forge 104kB
+ msgpack-python 1.0.7 py310h232114e_0 conda-forge 184kB
+ chardet 5.2.0 py310h5588dad_1 conda-forge 262kB
+ snappy 1.1.10 hfb803bf_0 conda-forge 57kB
+ c-ares 1.28.1 hcfcfb64_0 conda-forge 159kB
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+ autogluon.multimodal 1.0.0 pyha770c72_1 conda-forge 259kB
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+ autogluon.timeseries 1.0.0 pyhd8ed1ab_0 conda-forge 93kB
+ autogluon 1.0.0 pyhd8ed1ab_0 conda-forge 16kB
Summary:
Install: 347 packages
Total download: 724MB
------------------------------------------------------------------------------------------------------
Confirm changes: [Y/n] y
ordered-set 11.5kB @ 12.6kB/s 0.9s
tenacity 22.8kB @ 25.0kB/s 0.9s
click 85.1kB @ 90.9kB/s 0.9s
joblib 221.2kB @ 194.0kB/s 1.1s
readchar 13.6kB @ 11.8kB/s 0.2s
typing_extensions 37.0kB @ 32.0kB/s 0.3s
fastcore 62.7kB @ 53.0kB/s 0.3s
types-python-dateutil 21.8kB @ 15.8kB/s 0.2s
typish 20.1kB @ 14.4kB/s 0.2s
itsdangerous 16.4kB @ 11.7kB/s 0.2s
spacy-loggers 21.8kB @ 15.3kB/s 0.2s
munkres 12.5kB @ 7.6kB/s 0.2s
python-tzdata 144.0kB @ 87.4kB/s 0.3s
pyparsing 89.5kB @ 54.1kB/s 0.3s
absl-py 107.3kB @ 63.8kB/s 0.3s
networkx 1.1MB @ 646.5kB/s 1.8s
crashtest 10.2kB @ 5.4kB/s 0.2s
pkginfo 28.1kB @ 14.9kB/s 0.2s
trove-classifiers 18.4kB @ 9.7kB/s 0.2s
antlr-python-runtime 101.1kB @ 52.3kB/s 0.3s
dill 88.2kB @ 43.6kB/s 0.2s
more-itertools 54.5kB @ 25.0kB/s 0.3s
h11 48.3kB @ 22.1kB/s 0.2s
poetry-plugin-export 16.3kB @ 7.2kB/s 0.2s
anyio 96.7kB @ 39.3kB/s 0.3s
font-ttf-source-code-pro 700.8kB @ 281.5kB/s 0.6s
markdown-it-py 64.4kB @ 25.3kB/s 0.3s
jaraco.classes 12.1kB @ 4.4kB/s 0.3s
importlib_metadata 9.4kB @ 3.4kB/s 0.3s
annotated-types 17.0kB @ 6.1kB/s 0.3s
croniter 36.1kB @ 11.7kB/s 0.4s
python-build 24.4kB @ 7.7kB/s 0.4s
fonts-conda-ecosystem 3.7kB @ 1.1kB/s 0.4s
typer 80.2kB @ 21.1kB/s 0.7s
psutil 386.4kB @ 96.5kB/s 0.9s
wasabi 48.2kB @ 11.8kB/s 0.3s
libpng 347.5kB @ 78.6kB/s 0.4s
catalogue 35.8kB @ 7.8kB/s 1.4s
libbrotlicommon 70.6kB @ 13.3kB/s 0.7s
libdeflate 153.2kB @ 28.4kB/s 1.3s
sympy 4.2MB @ 686.8kB/s 4.0s
tensorboard-data-server 17.5kB @ 2.7kB/s 0.2s
plotly 6.1MB @ 946.0kB/s 4.5s
pyrsistent 93.7kB @ 14.0kB/s 0.3s
xxhash 103.3kB @ 15.3kB/s 0.3s
intel-openmp 2.5MB @ 372.4kB/s 2.4s
libcrc32c 25.7kB @ 3.7kB/s 0.3s
pywin32-ctypes 46.1kB @ 6.6kB/s 0.3s
chardet 261.7kB @ 37.0kB/s 0.4s
libaec 32.6kB @ 4.5kB/s 0.3s
getopt-win32 21.9kB @ 3.0kB/s 0.2s
frozenlist 53.6kB @ 7.3kB/s 0.3s
graphite2 95.4kB @ 12.6kB/s 0.3s
libzopfli 208.0kB @ 27.1kB/s 0.3s
srsly 547.6kB @ 67.0kB/s 0.5s
aom 2.0MB @ 203.5kB/s 2.4s
tokenizers 2.7MB @ 244.0kB/s 5.6s
libtiff 784.3kB @ 71.5kB/s 1.4s
libbrotlienc 246.5kB @ 21.4kB/s 0.6s
expat 229.6kB @ 19.0kB/s 0.5s
m2w64-gmp 743.5kB @ 61.6kB/s 1.1s
aws-c-sdkutils 54.3kB @ 4.4kB/s 0.3s
c-blosc2 210.2kB @ 16.9kB/s 0.4s
libavif 104.7kB @ 8.2kB/s 0.3s
openjpeg 238.0kB @ 18.1kB/s 0.5s
m2w64-gcc-libs-core 219.2kB @ 16.1kB/s 0.5s
libuv 289.8kB @ 20.7kB/s 8.7s
libprotobuf 5.7MB @ 402.7kB/s 5.9s
gts 188.7kB @ 13.4kB/s 0.4s
libsentencepiece 1.9MB @ 132.6kB/s 1.7s
aws-c-event-stream 54.2kB @ 3.8kB/s 0.3s
sentencepiece 17.3kB @ 1.2kB/s 0.3s
m2w64-gcc-libgfortran 350.7kB @ 24.1kB/s 0.5s
libgoogle-cloud-storage 14.3kB @ 966.0 B/s 0.2s
xorg-libxdmcp 67.9kB @ 4.5kB/s 0.3s
xorg-kbproto 28.2kB @ 1.8kB/s 0.3s
harfbuzz 1.1MB @ 68.9kB/s 1.1s
pango 448.4kB @ 27.8kB/s 0.7s
libxcb 969.8kB @ 55.2kB/s 2.0s
rapidfuzz 1.1MB @ 60.1kB/s 1.5s
contourpy 190.1kB @ 10.6kB/s 0.4s
xorg-libice 158.1kB @ 8.5kB/s 0.4s
aws-sdk-cpp 3.4MB @ 151.3kB/s 4.6s
numba 4.3MB @ 189.7kB/s 5.1s
libarrow-acero 445.7kB @ 19.2kB/s 0.6s
libparquet 792.1kB @ 33.9kB/s 0.8s
libarrow-flight-sql 235.3kB @ 9.9kB/s 0.4s
libarrow 5.1MB @ 212.2kB/s 5.4s
libarrow-substrait 361.7kB @ 15.0kB/s 0.7s
jinxed 33.3kB @ 1.4kB/s 0.3s
sacremoses 437.5kB @ 17.9kB/s 0.5s
cachecontrol 23.7kB @ 965.0 B/s 0.3s
pydantic 271.5kB @ 10.9kB/s 0.4s
omegaconf 166.5kB @ 6.7kB/s 0.3s
graphviz 1.1MB @ 45.5kB/s 1.2s
nptyping 22.8kB @ 907.0 B/s 0.3s
utilsforecast 37.9kB @ 1.5kB/s 0.3s
pyarrow-hotfix 13.6kB @ 535.0 B/s 0.2s
imageio 290.6kB @ 11.4kB/s 0.5s
fastapi 70.6kB @ 2.8kB/s 0.3s
autogluon.core 175.3kB @ 6.8kB/s 0.4s
lightning-cloud 289.2kB @ 11.1kB/s 0.5s
sentencepiece-python 3.0MB @ 110.5kB/s 13.5s
pytorch-metric-learning 73.3kB @ 2.5kB/s 1.6s
tensorboard 5.2MB @ 176.5kB/s 4.1s
statsforecast 79.4kB @ 2.7kB/s 0.3s
evaluate 63.0kB @ 2.1kB/s 0.3s
nlpaug 289.6kB @ 9.2kB/s 1.4s
timm 1.4MB @ 43.4kB/s 2.9s
fastai 186.1kB @ 5.8kB/s 0.8s
autogluon 15.6kB @ 483.0 B/s 0.3s
poetry-core 226.9kB @ 6.9kB/s 0.8s
fastprogress 17.1kB @ 513.0 B/s 0.3s
fsspec 126.9kB @ 3.8kB/s 1.3s
sniffio 15.1kB @ 448.0 B/s 0.3s
wcwidth 32.7kB @ 968.0 B/s 0.4s
spacy-legacy 28.7kB @ 846.0 B/s 0.3s
cycler 13.5kB @ 394.0 B/s 0.3s
shellingham 14.6kB @ 426.0 B/s 0.3s
python-installer 233.3kB @ 6.7kB/s 0.9s
tabulate 35.9kB @ 1.0kB/s 0.5s
statsmodels 10.3MB @ 289.2kB/s 9.5s
font-ttf-inconsolata 96.5kB @ 2.7kB/s 0.3s
importlib_resources 33.1kB @ 915.0 B/s 0.3s
distlib 274.9kB @ 7.6kB/s 0.7s
typing-extensions 10.2kB @ 279.0 B/s 0.2s
responses 36.1kB @ 986.0 B/s 0.3s
pexpect 53.6kB @ 1.5kB/s 0.3s
fonts-conda-forge 4.1kB @ 111.0 B/s 0.2s
arrow 100.1kB @ 2.7kB/s 0.7s
async-timeout 11.4kB @ 300.0 B/s 1.1s
boto3 81.0kB @ 2.1kB/s 1.1s
gdown 21.5kB @ 540.0 B/s 2.3s
pygments 860.4kB @ 21.6kB/s 5.7s
lerc 194.4kB @ 4.7kB/s 1.8s
orjson 189.1kB @ 4.5kB/s 2.9s
msys2-conda-epoch 3.2kB @ 76.0 B/s 0.3s
kiwisolver 55.6kB @ 1.3kB/s 0.6s
torchvision 10.3MB @ 242.4kB/s 16.5s
libutf8proc 104.4kB @ 2.4kB/s 1.0s
libexpat 139.2kB @ 3.2kB/s 0.5s
libabseil 1.7MB @ 39.6kB/s 4.1s
jxrlib 355.3kB @ 8.0kB/s 0.5s
libevent 410.6kB @ 9.2kB/s 0.4s
pixman 461.9kB @ 10.3kB/s 1.0s
_py-xgboost-mutex 14.8kB @ 327.0 B/s 0.3s
safetensors 254.3kB @ 5.6kB/s 3.2s
preshed 91.1kB @ 2.0kB/s 0.3s
multiprocess 262.0kB @ 5.7kB/s 0.7s
libbrotlidec 32.8kB @ 719.0 B/s 0.3s
aws-checksums 52.0kB @ 1.1kB/s 0.3s
blosc 50.1kB @ 1.1kB/s 0.3s
libthrift 612.3kB @ 13.2kB/s 0.5s
brotli-bin 20.9kB @ 448.0 B/s 0.2s
protobuf 314.7kB @ 6.8kB/s 0.7s
dulwich 742.4kB @ 15.9kB/s 4.6s
brotli 19.8kB @ 421.0 B/s 0.3s
libgoogle-cloud 14.4kB @ 306.0 B/s 0.4s
blas 1.4kB @ 29.0 B/s 0.4s
freetype 510.3kB @ 10.2kB/s 4.6s
aws-c-mqtt 157.4kB @ 3.1kB/s 3.3s
xorg-xextproto 31.0kB @ 611.0 B/s 0.9s
liblapack 5.0MB @ 84.1kB/s 11.9s
libgrpc 16.0MB @ 268.5kB/s 12.9s
lightgbm 1.0MB @ 16.6kB/s 0.9s
imagecodecs 1.5MB @ 23.8kB/s 14.4s
matplotlib-base 6.7MB @ 101.7kB/s 5.5s
xorg-libxt 671.7kB @ 10.1kB/s 0.8s
libgd 344.9kB @ 5.1kB/s 0.7s
deepdiff 67.8kB @ 1.0kB/s 0.3s
werkzeug 241.7kB @ 3.5kB/s 0.5s
aiosignal 12.7kB @ 185.0 B/s 0.4s
model-index 28.2kB @ 409.0 B/s 0.4s
tifffile 178.3kB @ 2.5kB/s 1.2s
pandas 11.3MB @ 160.9kB/s 11.1s
pytesseract 18.6kB @ 263.0 B/s 0.3s
blessed 52.1kB @ 737.0 B/s 0.3s
openmim 45.0kB @ 636.0 B/s 0.3s
poetry 167.6kB @ 2.4kB/s 0.3s
aiohttp 647.5kB @ 9.1kB/s 0.8s
accelerate 163.5kB @ 2.3kB/s 0.5s
pytorch-lightning 399.4kB @ 5.5kB/s 1.2s
gluonts 417.8kB @ 5.6kB/s 2.0s
autogluon.tabular 211.6kB @ 2.8kB/s 1.3s
websocket-client 46.6kB @ 606.0 B/s 0.4s
python-editor 9.3kB @ 121.0 B/s 0.3s
text-unidecode 65.0kB @ 837.0 B/s 0.4s
langcodes 159.8kB @ 2.0kB/s 0.4s
libxgboost 91.3MB @ 1.2MB/s 1m:10.6s
pytz 188.5kB @ 2.4kB/s 0.4s
dataclasses 9.9kB @ 125.0 B/s 0.3s
mdurl 14.7kB @ 186.0 B/s 0.2s
tomlkit 37.2kB @ 472.0 B/s 0.3s
importlib-metadata 27.0kB @ 342.0 B/s 0.3s
python-slugify 15.1kB @ 191.0 B/s 0.2s
font-ttf-dejavu-sans-mono 397.4kB @ 5.0kB/s 0.6s
markdown 78.3kB @ 985.0 B/s 0.3s
virtualenv 3.1MB @ 37.5kB/s 4.9s
s3transfer 62.6kB @ 736.0 B/s 1.0s
cymem 43.4kB @ 507.0 B/s 0.3s
libjpeg-turbo 688.1kB @ 7.9kB/s 1.2s
pthreads-win32 144.3kB @ 1.7kB/s 0.7s
regex 308.3kB @ 3.5kB/s 0.6s
ansicon 64.9kB @ 736.0 B/s 0.3s
snappy 57.1kB @ 645.0 B/s 0.3s
giflib 83.6kB @ 941.0 B/s 0.3s
zlib-ng 90.8kB @ 1.0kB/s 0.3s
botocore 6.9MB @ 77.1kB/s 9.7s
uvicorn 115.2kB @ 1.3kB/s 0.4s
pyyaml 146.2kB @ 1.6kB/s 0.4s
m2w64-libwinpthread-git 31.9kB @ 353.0 B/s 0.4s
rav1e 1.5MB @ 16.8kB/s 1.5s
aws-c-cal 55.8kB @ 615.0 B/s 0.4s
re2 207.3kB @ 2.3kB/s 0.4s
tbb 161.4kB @ 1.8kB/s 0.5s
aws-c-http 180.6kB @ 2.0kB/s 0.9s
sentencepiece-spm 839.1kB @ 9.1kB/s 1.1s
numpy 6.0MB @ 64.9kB/s 41.7s
xorg-libxau 51.3kB @ 554.0 B/s 0.3s
fonttools 1.9MB @ 19.7kB/s 4.6s
libcblas 5.0MB @ 51.3kB/s 4.9s
xorg-libxext 221.8kB @ 2.3kB/s 0.4s
libarrow-flight 289.4kB @ 3.0kB/s 0.4s
xorg-libx11 816.3kB @ 8.3kB/s 1.7s
xorg-libxpm 195.9kB @ 2.0kB/s 0.6s
catboost 50.4MB @ 511.2kB/s 27.6s
patsy 187.2kB @ 1.9kB/s 0.3s
binaryornot 378.4kB @ 3.8kB/s 0.5s
window-ops 19.1kB @ 192.0 B/s 0.3s
cachecontrol-with-filecache 6.7kB @ 67.0 B/s 0.2s
mlforecast 40.7kB @ 409.0 B/s 0.3s
confection 68.9kB @ 692.0 B/s 0.3s
torchmetrics 313.8kB @ 3.1kB/s 0.4s
nltk 1.1MB @ 10.6kB/s 1.6s
python-multipart 26.4kB @ 263.0 B/s 0.3s
jmespath 21.0kB @ 208.0 B/s 0.3s
smart_open 48.1kB @ 476.0 B/s 0.4s
filelock 15.6kB @ 153.0 B/s 0.4s
transformers 2.6MB @ 25.8kB/s 2.2s
requests-toolbelt 43.9kB @ 431.0 B/s 0.4s
locket 8.2kB @ 80.0 B/s 0.3s
lightning-utilities 27.2kB @ 267.0 B/s 0.3s
cython-blis 3.5MB @ 34.1kB/s 9.6s
pyproject_hooks 13.9kB @ 135.0 B/s 0.3s
starsessions 13.3kB @ 130.0 B/s 0.3s
starlette 57.7kB @ 563.0 B/s 0.3s
murmurhash 30.8kB @ 300.0 B/s 0.3s
spacy 6.0MB @ 58.6kB/s 2.8s
charls 95.9kB @ 933.0 B/s 0.3s
msgpack-python 184.0kB @ 1.8kB/s 0.3s
zfp 235.9kB @ 2.3kB/s 0.3s
dav1d 618.6kB @ 5.9kB/s 1.7s
pydantic-core 1.6MB @ 15.4kB/s 1.6s
keyring 80.0kB @ 764.0 B/s 0.3s
libhwloc 2.6MB @ 24.6kB/s 1.9s
lcms2 498.0kB @ 4.8kB/s 0.5s
mkl-service 59.7kB @ 568.0 B/s 0.3s
pthread-stubs 6.4kB @ 61.0 B/s 0.2s
aws-crt-cpp 245.5kB @ 2.3kB/s 0.3s
xorg-libsm 86.4kB @ 818.0 B/s 0.3s
pyarrow 3.4MB @ 31.1kB/s 5.2s
jinja2 111.6kB @ 1.0kB/s 0.3s
cleo 61.3kB @ 549.0 B/s 0.3s
python-graphviz 38.2kB @ 341.0 B/s 0.4s
inquirer 20.9kB @ 186.0 B/s 0.4s
thinc 920.5kB @ 8.0kB/s 2.5s
lightning 1.2MB @ 10.6kB/s 2.2s
zipp 19.0kB @ 161.0 B/s 0.3s
exceptiongroup 20.6kB @ 174.0 B/s 0.3s
cloudpickle 24.7kB @ 209.0 B/s 0.3s
ptyprocess 16.5kB @ 140.0 B/s 0.3s
cuda-version 21.0kB @ 177.0 B/s 0.3s
partd 20.7kB @ 174.0 B/s 0.3s
rich 184.3kB @ 1.5kB/s 0.4s
yaml 63.3kB @ 530.0 B/s 0.3s
ninja 279.2kB @ 2.3kB/s 0.5s
c-ares 159.1kB @ 1.3kB/s 1.3s
multidict 52.3kB @ 430.0 B/s 0.3s
libarrow-gandiva 10.7MB @ 88.2kB/s 56.5s
aws-c-compression 22.4kB @ 183.0 B/s 0.3s
libre2-11 256.6kB @ 2.1kB/s 0.5s
grpcio 837.8kB @ 6.8kB/s 1.8s
fontconfig 190.1kB @ 1.5kB/s 2.0s
xorg-xproto 75.7kB @ 607.0 B/s 1.0s
xgboost 15.0kB @ 119.0 B/s 1.0s
jsonschema 70.5kB @ 556.0 B/s 1.1s
autogluon.common 56.0kB @ 437.0 B/s 1.3s
autogluon.features 51.1kB @ 396.0 B/s 0.8s
datasets 352.9kB @ 2.7kB/s 3.2s
llvmlite 17.0MB @ 128.5kB/s 30.3s
autogluon.timeseries 92.6kB @ 697.0 B/s 0.7s
six 14.3kB @ 107.0 B/s 0.3s
fastdownload 17.9kB @ 134.0 B/s 0.3s
tomli 15.9kB @ 119.0 B/s 0.3s
dateutils 9.0kB @ 67.0 B/s 0.3s
markupsafe 26.9kB @ 201.0 B/s 0.3s
fribidi 64.6kB @ 482.0 B/s 0.3s
python-xxhash 24.6kB @ 183.0 B/s 0.3s
aws-c-io 160.3kB @ 1.2kB/s 1.3s
libwebp-base 268.9kB @ 2.0kB/s 2.7s
aws-c-auth 99.5kB @ 710.0 B/s 4.5s
pillow 46.6MB @ 330.4kB/s 36.1s
seqeval 17.1kB @ 120.0 B/s 0.3s
pathy 109.7kB @ 774.0 B/s 1.6s
weasel 42.5kB @ 300.0 B/s 0.3s
pyjwt 24.9kB @ 175.0 B/s 0.3s
cloudpathlib 37.4kB @ 263.0 B/s 0.3s
toolz 52.4kB @ 367.0 B/s 0.9s
unicodedata2 370.1kB @ 2.6kB/s 0.5s
cytoolz 295.6kB @ 2.1kB/s 0.5s
aws-c-s3 101.7kB @ 710.0 B/s 0.3s
orc 953.7kB @ 6.6kB/s 1.8s
libarrow-dataset 431.3kB @ 3.0kB/s 2.2s
cookiecutter 100.8kB @ 692.0 B/s 1.1s
mpmath 438.3kB @ 3.0kB/s 1.7s
autogluon.multimodal 258.9kB @ 1.8kB/s 2.1s
ujson 47.4kB @ 320.0 B/s 0.9s
aws-c-common 222.4kB @ 1.5kB/s 1.3s
yarl 103.7kB @ 695.0 B/s 0.9s
scipy 15.1MB @ 100.3kB/s 26.2s
scikit-learn 7.8MB @ 51.7kB/s 14.4s
dask-core 880.3kB @ 5.8kB/s 1.7s
python-dateutil 222.7kB @ 1.5kB/s 0.5s
traitlets 110.3kB @ 731.0 B/s 0.8s
m2w64-gcc-libs 532.4kB @ 3.5kB/s 1.0s
svt-av1 2.4MB @ 15.3kB/s 3.6s
font-ttf-ubuntu 1.6MB @ 10.5kB/s 2.8s
pywavelets 3.5MB @ 22.7kB/s 7.1s
cairo 1.5MB @ 9.7kB/s 2.6s
huggingface_hub 243.8kB @ 1.5kB/s 0.8s
libwebp 71.1kB @ 450.0 B/s 0.3s
websockets 162.8kB @ 1.0kB/s 0.9s
py-xgboost 213.9kB @ 1.3kB/s 1.3s
threadpoolctl 23.0kB @ 143.0 B/s 0.3s
icu 13.4MB @ 80.1kB/s 11.6s
scikit-image 11.3MB @ 65.5kB/s 17.7s
mkl 144.7MB @ 723.5kB/s 1m:35.3s
pytorch 93.3MB @ 420.7kB/s 1m:10.9s
Downloading and Extracting Packages:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> mamba install -c conda-forge -c pytorch -c nvidia autogluon "pytorch=*=*cuda*"
Looking for: ['autogluon', 'pytorch=[build=*cuda*]']
conda-forge/win-64 Using cache
conda-forge/noarch Using cache
warning libmamba Could not parse mod/etag header
pytorch/win-64 (check zst) Checked 0.9s
warning libmamba Could not parse mod/etag header
pytorch/noarch (check zst) Checked 0.4s
warning libmamba Could not parse mod/etag header
nvidia/win-64 (check zst) Checked 0.3s
warning libmamba Could not parse mod/etag header
nvidia/noarch (check zst) Checked 0.2s
warning libmamba Could not parse mod/etag header
warning libmamba Could not parse mod/etag header
warning libmamba Could not parse mod/etag header
warning libmamba Could not parse mod/etag header
warning libmamba Could not parse mod/etag header
warning libmamba Could not parse mod/etag header
pytorch/win-64 150.3kB @ 343.4kB/s 0.4s
pkgs/main/win-64 No change
pytorch/noarch 10.9kB @ 12.3kB/s 0.9s
nvidia/noarch 5.2kB @ 5.8kB/s 0.9s
pkgs/msys2/win-64 No change
nvidia/win-64 123.5kB @ 133.3kB/s 0.9s
pkgs/main/noarch No change
pkgs/r/noarch No change
pkgs/msys2/noarch No change
pkgs/r/win-64 No change
Pinned packages:
- python 3.10.*
Transaction
Prefix: D:\Documents\LMm\env\ag
Updating specs:
- autogluon
- pytorch=*[build=*cuda*]
- ca-certificates
- certifi
- openssl
Package Version Build Channel Size
------------------------------------------------------------------------------------
Install:
------------------------------------------------------------------------------------
+ pytorch-mutex 1.0 cuda pytorch Cached
+ cuda-cudart 11.8.89 0 nvidia 2MB
+ cuda-cupti 11.8.87 0 nvidia 12MB
+ cuda-nvrtc 11.8.89 0 nvidia 76MB
+ cuda-nvtx 11.8.86 0 nvidia 44kB
+ libcublas 11.11.3.6 0 nvidia 33kB
+ libcufft 10.9.0.58 0 nvidia 6kB
+ libcusolver 11.4.1.48 0 nvidia 30kB
+ libcusparse 11.7.5.86 0 nvidia 14kB
+ libnpp 11.8.0.86 0 nvidia 301kB
+ libnvjpeg 11.9.0.86 0 nvidia 5kB
+ cuda-cccl 12.4.99 0 nvidia 1MB
+ cuda-profiler-api 12.4.99 0 nvidia 19kB
+ libcurand 10.3.5.119 0 nvidia 4kB
+ cuda-nvrtc-dev 11.8.89 0 nvidia 17MB
+ libcublas-dev 11.11.3.6 0 nvidia 394MB
+ libcufft-dev 10.9.0.58 0 nvidia 152MB
+ libcusolver-dev 11.4.1.48 0 nvidia 99MB
+ libcusparse-dev 11.7.5.86 0 nvidia 184MB
+ libnpp-dev 11.8.0.86 0 nvidia 150MB
+ libnvjpeg-dev 11.9.0.86 0 nvidia 2MB
+ cuda-cudart-dev 11.8.89 0 nvidia 741kB
+ libcurand-dev 10.3.5.119 0 nvidia 52MB
+ cuda-libraries 11.8.0 0 nvidia 1kB
+ cuda-libraries-dev 11.8.0 0 nvidia 1kB
+ cuda-runtime 11.8.0 0 nvidia 1kB
+ pytorch-cuda 11.8 h24eeafa_5 pytorch 4kB
Change:
------------------------------------------------------------------------------------
- pytorch 2.0.1 cpu_py310hb0bdfb8_0 pkgs/main Cached
+ pytorch 2.0.1 py3.10_cuda11.8_cudnn8_0 pytorch 1GB
Summary:
Install: 27 packages
Change: 1 packages
Total download: 3GB
------------------------------------------------------------------------------------
Confirm changes: [Y/n] yy
Confirm changes: [Y/n] y
libcublas 33.3kB @ 39.3kB/s 0.8s
cuda-nvtx 44.0kB @ 51.3kB/s 0.9s
cuda-cudart 1.5MB @ 509.2kB/s 3.0s
cuda-cccl 1.5MB @ 423.0kB/s 2.6s
libnvjpeg-dev 2.0MB @ 272.2kB/s 3.9s
cuda-libraries 1.5kB @ 175.0 B/s 1.0s
pytorch-cuda 3.6kB @ 421.0 B/s 0.3s
libcusolver 30.1kB @ 3.2kB/s 0.7s
libnvjpeg 4.6kB @ 430.0 B/s 1.3s
cuda-nvrtc-dev 16.9MB @ 1.2MB/s 13.4s
cuda-cupti 12.0MB @ 629.9kB/s 19.1s
cuda-libraries-dev 1.5kB @ 76.0 B/s 0.2s
libcufft 5.7kB @ 293.0 B/s 0.2s
cuda-profiler-api 19.1kB @ 953.0 B/s 0.5s
cuda-nvrtc 75.6MB @ 968.3kB/s 1m:18.1s
cuda-runtime 1.4kB @ 17.0 B/s 0.2s
libnpp 300.9kB @ 3.8kB/s 0.7s
cuda-cudart-dev 740.7kB @ 9.2kB/s 1.5s
libcusparse 13.8kB @ 170.0 B/s 0.6s
libcusolver-dev 98.6MB @ 1.0MB/s 1m:34.1s
libcurand-dev 52.2MB @ 396.5kB/s 50.7s
libnpp-dev 150.1MB @ 1.1MB/s 2m:4.0s
libcurand 3.6kB @ 26.0 B/s 0.2s
libcufft-dev 151.6MB @ 683.5kB/s 2m:4.7s
libcusparse-dev 184.2MB @ 417.7kB/s 7m:0.9s
libcublas-dev 394.2MB @ 853.9kB/s 7m:31.0s
pytorch 1.5GB @ 1.9MB/s 10m:52.0s
Downloading and Extracting Packages:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> conda install ipykernel
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 23.7.4
latest version: 24.3.0
Please update conda by running
$ conda update -n base -c defaults conda
Or to minimize the number of packages updated during conda update use
conda install conda=24.3.0
## Package Plan ##
environment location: D:\Documents\LMm\env\ag
added / updated specs:
- ipykernel
The following packages will be downloaded:
package | build
---------------------------|-----------------
certifi-2024.2.2 | py310haa95532_0 160 KB defaults
comm-0.2.1 | py310haa95532_0 15 KB defaults
debugpy-1.6.7 | py310hd77b12b_0 2.9 MB defaults
ipykernel-6.28.0 | py310haa95532_0 199 KB defaults
ipython-8.20.0 | py310haa95532_0 1.1 MB defaults
jedi-0.18.1 | py310haa95532_1 983 KB defaults
jupyter_client-8.6.0 | py310haa95532_0 204 KB defaults
jupyter_core-5.5.0 | py310haa95532_0 97 KB defaults
matplotlib-inline-0.1.6 | py310haa95532_0 17 KB defaults
nest-asyncio-1.6.0 | py310haa95532_0 15 KB defaults
prompt-toolkit-3.0.43 | py310haa95532_0 592 KB defaults
prompt_toolkit-3.0.43 | hd3eb1b0_0 5 KB defaults
pywin32-305 | py310h2bbff1b_0 10.7 MB defaults
pyzmq-25.1.2 | py310hd77b12b_0 412 KB defaults
tornado-6.3.3 | py310h2bbff1b_0 647 KB defaults
------------------------------------------------------------
Total: 18.0 MB
The following NEW packages will be INSTALLED:
asttokens pkgs/main/noarch::asttokens-2.0.5-pyhd3eb1b0_0
comm pkgs/main/win-64::comm-0.2.1-py310haa95532_0
debugpy pkgs/main/win-64::debugpy-1.6.7-py310hd77b12b_0
decorator pkgs/main/noarch::decorator-5.1.1-pyhd3eb1b0_0
executing pkgs/main/noarch::executing-0.8.3-pyhd3eb1b0_0
ipykernel pkgs/main/win-64::ipykernel-6.28.0-py310haa95532_0
ipython pkgs/main/win-64::ipython-8.20.0-py310haa95532_0
jedi pkgs/main/win-64::jedi-0.18.1-py310haa95532_1
jupyter_client pkgs/main/win-64::jupyter_client-8.6.0-py310haa95532_0
jupyter_core pkgs/main/win-64::jupyter_core-5.5.0-py310haa95532_0
libsodium pkgs/main/win-64::libsodium-1.0.18-h62dcd97_0
matplotlib-inline pkgs/main/win-64::matplotlib-inline-0.1.6-py310haa95532_0
nest-asyncio pkgs/main/win-64::nest-asyncio-1.6.0-py310haa95532_0
parso pkgs/main/noarch::parso-0.8.3-pyhd3eb1b0_0
prompt-toolkit pkgs/main/win-64::prompt-toolkit-3.0.43-py310haa95532_0
prompt_toolkit pkgs/main/noarch::prompt_toolkit-3.0.43-hd3eb1b0_0
pure_eval pkgs/main/noarch::pure_eval-0.2.2-pyhd3eb1b0_0
pywin32 pkgs/main/win-64::pywin32-305-py310h2bbff1b_0
pyzmq pkgs/main/win-64::pyzmq-25.1.2-py310hd77b12b_0
stack_data pkgs/main/noarch::stack_data-0.2.0-pyhd3eb1b0_0
tornado pkgs/main/win-64::tornado-6.3.3-py310h2bbff1b_0
zeromq pkgs/main/win-64::zeromq-4.3.5-hd77b12b_0
The following packages will be UPDATED:
ca-certificates conda-forge::ca-certificates-2024.2.2~ --> pkgs/main::ca-certificates-2024.3.11-haa95532_0
The following packages will be SUPERSEDED by a higher-priority channel:
certifi conda-forge/noarch::certifi-2024.2.2-~ --> pkgs/main/win-64::certifi-2024.2.2-py310haa95532_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> conda install -c conda-forge nb_conda
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 23.7.4
latest version: 24.3.0
Please update conda by running
$ conda update -n base -c defaults conda
Or to minimize the number of packages updated during conda update use
conda install conda=24.3.0
## Package Plan ##
environment location: D:\Documents\LMm\env\ag
added / updated specs:
- nb_conda
The following packages will be downloaded:
package | build
---------------------------|-----------------
argon2-cffi-23.1.0 | pyhd8ed1ab_0 18 KB conda-forge
argon2-cffi-bindings-21.2.0| py310h8d17308_4 33 KB conda-forge
jupyter_client-7.4.9 | pyhd8ed1ab_0 97 KB conda-forge
jupyter_server-1.24.0 | pyhd8ed1ab_0 238 KB conda-forge
nbclassic-1.0.0 | pyhb4ecaf3_1 5.7 MB conda-forge
nbclient-0.10.0 | pyhd8ed1ab_0 27 KB conda-forge
nbconvert-7.16.3 | hd8ed1ab_0 8 KB conda-forge
nbconvert-core-7.16.3 | pyhd8ed1ab_0 185 KB conda-forge
nbconvert-pandoc-7.16.3 | hd8ed1ab_0 7 KB conda-forge
nbformat-5.10.3 | pyhd8ed1ab_0 98 KB conda-forge
notebook-6.5.6 | pyha770c72_0 299 KB conda-forge
notebook-shim-0.2.4 | pyhd8ed1ab_0 16 KB conda-forge
pandoc-3.1.12.3 | h57928b3_0 23.7 MB conda-forge
pywinpty-2.0.13 | py310h00ffb61_0 197 KB conda-forge
pyzmq-24.0.1 | py310hcd737a0_1 437 KB conda-forge
terminado-0.18.1 | pyh5737063_0 22 KB conda-forge
zeromq-4.3.4 | h0e60522_1 8.9 MB conda-forge
------------------------------------------------------------
Total: 40.0 MB
The following NEW packages will be INSTALLED:
argon2-cffi conda-forge/noarch::argon2-cffi-23.1.0-pyhd8ed1ab_0
argon2-cffi-bindi~ conda-forge/win-64::argon2-cffi-bindings-21.2.0-py310h8d17308_4
bleach conda-forge/noarch::bleach-6.1.0-pyhd8ed1ab_0
entrypoints conda-forge/noarch::entrypoints-0.4-pyhd8ed1ab_0
ipython_genutils conda-forge/noarch::ipython_genutils-0.2.0-py_1
jupyter_server conda-forge/noarch::jupyter_server-1.24.0-pyhd8ed1ab_0
jupyterlab_pygmen~ conda-forge/noarch::jupyterlab_pygments-0.3.0-pyhd8ed1ab_1
mistune conda-forge/noarch::mistune-3.0.2-pyhd8ed1ab_0
nb_conda conda-forge/noarch::nb_conda-2.2.1-win_7
nb_conda_kernels conda-forge/noarch::nb_conda_kernels-2.3.1-pyh7428d3b_4
nbclassic conda-forge/noarch::nbclassic-1.0.0-pyhb4ecaf3_1
nbclient conda-forge/noarch::nbclient-0.10.0-pyhd8ed1ab_0
nbconvert conda-forge/noarch::nbconvert-7.16.3-hd8ed1ab_0
nbconvert-core conda-forge/noarch::nbconvert-core-7.16.3-pyhd8ed1ab_0
nbconvert-pandoc conda-forge/noarch::nbconvert-pandoc-7.16.3-hd8ed1ab_0
nbformat conda-forge/noarch::nbformat-5.10.3-pyhd8ed1ab_0
notebook conda-forge/noarch::notebook-6.5.6-pyha770c72_0
notebook-shim conda-forge/noarch::notebook-shim-0.2.4-pyhd8ed1ab_0
pandoc conda-forge/win-64::pandoc-3.1.12.3-h57928b3_0
pandocfilters conda-forge/noarch::pandocfilters-1.5.0-pyhd8ed1ab_0
prometheus_client conda-forge/noarch::prometheus_client-0.20.0-pyhd8ed1ab_0
pywinpty conda-forge/win-64::pywinpty-2.0.13-py310h00ffb61_0
send2trash conda-forge/noarch::send2trash-1.8.2-pyh08f2357_0
terminado conda-forge/noarch::terminado-0.18.1-pyh5737063_0
tinycss2 conda-forge/noarch::tinycss2-1.2.1-pyhd8ed1ab_0
webencodings conda-forge/noarch::webencodings-0.5.1-pyhd8ed1ab_2
winpty conda-forge/win-64::winpty-0.4.3-4
The following packages will be SUPERSEDED by a higher-priority channel:
ca-certificates pkgs/main::ca-certificates-2024.3.11-~ --> conda-forge::ca-certificates-2024.2.2-h56e8100_0
certifi pkgs/main/win-64::certifi-2024.2.2-py~ --> conda-forge/noarch::certifi-2024.2.2-pyhd8ed1ab_0
jupyter_client pkgs/main/win-64::jupyter_client-8.6.~ --> conda-forge/noarch::jupyter_client-7.4.9-pyhd8ed1ab_0
pyzmq pkgs/main::pyzmq-25.1.2-py310hd77b12b~ --> conda-forge::pyzmq-24.0.1-py310hcd737a0_1
zeromq pkgs/main::zeromq-4.3.5-hd77b12b_0 --> conda-forge::zeromq-4.3.4-h0e60522_1
Proceed ([y]/n)? y
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: / D:\Documents\LMm\env\ag\lib\site-packages\nb_conda_kernels\install.py:8: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import iter_entry_points
Enabling nb_conda_kernels...
CONDA_PREFIX: D:\Documents\LMm\env\ag
Status: enabled
- Config option `kernel_spec_manager_class` not recognized by `EnableNBExtensionApp`.
Enabling notebook extension nb_conda/main...
- Validating: ok
Enabling tree extension nb_conda/tree...
- Validating: ok
Config option `kernel_spec_manager_class` not recognized by `EnableServerExtensionApp`.
Enabling: nb_conda
- Writing config: D:\Documents\LMm\env\ag\etc\jupyter
- Validating...
nb_conda 2.2.1 ok
done
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> python -m ipykernel install --user --name=ag
Installed kernelspec ag in C:\Users\gg葱\AppData\Roaming\jupyter\kernels\ag
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> juypyter-lab
juypyter-lab : 无法将“juypyter-lab”项识别为 cmdlet、函数、脚本文件或可运行程序的名称。请检查名称的拼写，如果包括路径
，请确保路径正确，然后再试一次。
所在位置 行:1 字符: 1
+ juypyter-lab
+ ~~~~~~~~~~~~
+ CategoryInfo : ObjectNotFound: (juypyter-lab:String) [], CommandNotFoundException
+ FullyQualifiedErrorId : CommandNotFoundException
(D:\Documents\LMm\env\ag) PS C:\Users\gg葱> jupyter notebook
[I 19:11:21.172 NotebookApp] [nb_conda_kernels] enabled, 4 kernels found
_ _ _ _
| | | |_ __ __| |__ _| |_ ___
| |_| | '_ \/ _` / _` | _/ -_)
\___/| .__/\__,_\__,_|\__\___|
|_|
Read the migration plan to Notebook 7 to learn about the new features and the actions to take if you are using extensions.
https://jupyter-notebook.readthedocs.io/en/latest/migrate_to_notebook7.html
Please note that updating to Notebook 7 might break some of your extensions.
[I 19:11:21.822 NotebookApp] [nb_conda] enabled
[I 19:11:21.882 NotebookApp] The port 8888 is already in use, trying another port.
[I 19:11:21.882 NotebookApp] Serving notebooks from local directory: C:\Users\gg葱
[I 19:11:21.882 NotebookApp] Jupyter Notebook 6.5.6 is running at:
[I 19:11:21.882 NotebookApp] http://localhost:8889/?token=c48f546b9627cf7680bea05d8ed4be99f5872a8a4c25cdcc
[I 19:11:21.882 NotebookApp] or http://127.0.0.1:8889/?token=c48f546b9627cf7680bea05d8ed4be99f5872a8a4c25cdcc
[I 19:11:21.882 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 19:11:21.882 NotebookApp]
To access the notebook, open this file in a browser:
file:///C:/Users/gg%E8%91%B1/AppData/Roaming/jupyter/runtime/nbserver-22568-open.html
Or copy and paste one of these URLs:
http://localhost:8889/?token=c48f546b9627cf7680bea05d8ed4be99f5872a8a4c25cdcc
or http://127.0.0.1:8889/?token=c48f546b9627cf7680bea05d8ed4be99f5872a8a4c25cdcc
[W 19:11:32.083 NotebookApp] Notebook Untitled1.ipynb is not trusted
[I 19:11:32.255 NotebookApp] Kernel started: 2f7849e3-2b3a-4de1-881c-da3df26488c0, name: python3
[W 19:11:32.318 NotebookApp] 404 GET /nbextensions/widgets/notebook/js/extension.js?v=20240401191121 (::1) 0.000000ms referer=http://localhost:8889/notebooks/Untitled1.ipynb
[I 19:12:09.574 NotebookApp] Saving file at /Untitled1.ipynb
[I 19:12:10.496 NotebookApp] Starting buffering for 2f7849e3-2b3a-4de1-881c-da3df26488c0:67fc53f06ca148cdb8a019c7064d07bc
MySQL 存储引擎
2024-04-02 07:14:04 30 阅读
