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Already on GitHub? Sign in to your accountTraining: 0it [00:00, ?it/s]
is all I get, it never changes. I'm using Spyder 5.2.1. Meanwhile this works properly
import sys, time
from tqdm import trange
for j in trange(100, file=sys.stdout, leave=False, unit_scale=True, desc='loop'):
time.sleep(1)
conda list
# packages in environment at D:\Anaconda\envs\pyt:
# Name Version Build Channel
absl-py 0.15.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.7.4.post0 py38h294d835_1 conda-forge
alabaster 0.7.12 py_0 conda-forge
anyio 3.3.3 py38haa244fe_0 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argh 0.26.2 pyh9f0ad1d_1002 conda-forge
argon2-cffi 21.1.0 py38h294d835_0 conda-forge
arrow 1.2.0 pyhd8ed1ab_0 conda-forge
astroid 2.5.8 py38haa244fe_0 conda-forge
async-timeout 3.0.1 py_1000 conda-forge
async_generator 1.10 py_0 conda-forge
atomicwrites 1.4.0 pyh9f0ad1d_0 conda-forge
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
audioread 2.1.9 py38haa244fe_0 conda-forge
autopep8 1.6.0 pyhd8ed1ab_1 conda-forge
babel 2.9.1 pyh44b312d_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
bcrypt 3.2.0 py38h294d835_1 conda-forge
binaryornot 0.4.4 py_1 conda-forge
black 21.9b0 pyhd8ed1ab_0 conda-forge
blas 1.0 mkl
bleach 4.1.0 pyhd8ed1ab_0 conda-forge
blinker 1.4 py_1 conda-forge
brotli-python 1.0.9 py38h885f38d_5 conda-forge
brotlipy 0.7.0 py38h294d835_1001 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
ca-certificates 2021.10.26 haa95532_2
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
cachetools 4.2.4 pyhd8ed1ab_0 conda-forge
certifi 2021.10.8 py38haa244fe_1 conda-forge
cffi 1.14.6 py38hd8c33c5_1 conda-forge
chardet 4.0.0 py38haa244fe_1 conda-forge
charset-normalizer 2.0.0 pyhd8ed1ab_0 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
cloudpickle 2.0.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
conda 4.11.0 py38haa244fe_0 conda-forge
conda-package-handling 1.7.3 py38h31c79cd_1 conda-forge
configparser 5.1.0 pyhd8ed1ab_0 conda-forge
cookiecutter 1.6.0 py38_1000 conda-forge
cryptography 3.4.7 py38hd7da0ea_0 conda-forge
cudatoolkit 11.3.1 h59b6b97_2
cupy 9.5.0 py38hf95616d_1 conda-forge
cycler 0.10.0 py_2 conda-forge
cython 0.29.24 py38h885f38d_0 conda-forge
dash 2.0.0 pyhd8ed1ab_0 conda-forge
dataclasses 0.8 pyhc8e2a94_3 conda-forge
debugpy 1.4.1 py38h885f38d_0 conda-forge
decorator 5.1.0 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
diff-match-patch 20200713 pyh9f0ad1d_0 conda-forge
docker-pycreds 0.4.0 py_0 conda-forge
docutils 0.17.1 py38haa244fe_0 conda-forge
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
fastrlock 0.8 py38h885f38d_1 conda-forge
fftw 3.3.10 nompi_hea9a5d6_101 conda-forge
flake8 4.0.1 pyhd8ed1ab_1 conda-forge
flask 2.0.2 pyhd8ed1ab_0 conda-forge
flask-compress 1.10.1 pyhd8ed1ab_0 conda-forge
freetype 2.10.4 h546665d_1 conda-forge
fsspec 2021.10.1 pyhd8ed1ab_0 conda-forge
future 0.18.2 py38haa244fe_3 conda-forge
gitdb 4.0.9 pyhd8ed1ab_0 conda-forge
gitpython 3.1.24 pyhd8ed1ab_0 conda-forge
google-auth 1.35.0 pyh6c4a22f_0 conda-forge
google-auth-oauthlib 0.4.6 pyhd8ed1ab_0 conda-forge
grpcio 1.41.1 py38he5377a8_1 conda-forge
h5py 3.6.0 nompi_py38hde0384b_100 conda-forge
hdf5 1.12.1 nompi_h2a0e4a3_103 conda-forge
icu 68.1 h0e60522_0 conda-forge
idna 3.1 pyhd3deb0d_0 conda-forge
imagesize 1.2.0 py_0 conda-forge
importlib-metadata 4.2.0 py38haa244fe_0 conda-forge
importlib_metadata 4.2.0 hd8ed1ab_0 conda-forge
inflection 0.5.1 pyh9f0ad1d_0 conda-forge
iniconfig 1.1.1 pyh9f0ad1d_0 conda-forge
intel-openmp 2021.3.0 h57928b3_3372 conda-forge
intervaltree 3.0.2 py_0 conda-forge
ipykernel 6.4.1 py38h595d716_0 conda-forge
ipython 7.28.0 py38h595d716_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.6.5 pyhd8ed1ab_0 conda-forge
isort 5.9.3 pyhd8ed1ab_0 conda-forge
itsdangerous 2.0.1 pyhd8ed1ab_0 conda-forge
jbig 2.1 h8d14728_2003 conda-forge
jedi 0.18.0 py38haa244fe_2 conda-forge
jellyfish 0.8.9 py38h294d835_2 conda-forge
jinja2 3.0.2 pyhd8ed1ab_0 conda-forge
jinja2-time 0.2.0 py_2 conda-forge
joblib 1.1.0 pyhd8ed1ab_0 conda-forge
jpeg 9d h8ffe710_0 conda-forge
json5 0.9.6 pyhd3eb1b0_0
jsonschema 4.1.0 pyhd8ed1ab_0 conda-forge
jupyter-console 6.4.0 pypi_0 pypi
jupyter_client 6.1.12 pyhd8ed1ab_0 conda-forge
jupyter_core 4.8.1 py38haa244fe_0 conda-forge
jupyter_server 1.11.1 pyhd8ed1ab_0 conda-forge
jupyterlab 3.2.1 pyhd8ed1ab_0 conda-forge
jupyterlab-server 1.2.0 pypi_0 pypi
jupyterlab_pygments 0.1.2 pyh9f0ad1d_0 conda-forge
jupyterlab_server 2.8.2 pyhd8ed1ab_0 conda-forge
jupyterlab_widgets 1.0.2 pyhd8ed1ab_0 conda-forge
keyring 23.2.1 py38haa244fe_0 conda-forge
kiwisolver 1.3.2 py38hbd9d945_0 conda-forge
krb5 1.19.2 h20d022d_3 conda-forge
lazy-object-proxy 1.6.0 py38h294d835_0 conda-forge
lcms2 2.12 h2a16943_0 conda-forge
lerc 2.2.1 h0e60522_0 conda-forge
libarchive 3.5.2 hb45042f_1 conda-forge
libblas 3.9.0 11_win64_mkl conda-forge
libcblas 3.9.0 11_win64_mkl conda-forge
libclang 11.1.0 default_h5c34c98_1 conda-forge
libcurl 7.80.0 h789b8ee_1 conda-forge
libdeflate 1.7 h8ffe710_5 conda-forge
libflac 1.3.3 h0e60522_1 conda-forge
libiconv 1.16 he774522_0 conda-forge
liblapack 3.9.0 11_win64_mkl conda-forge
libmamba 0.19.1 h44daa3b_0 conda-forge
libmambapy 0.19.1 py38h2bfd5b9_0 conda-forge
libogg 1.3.5 h2bbff1b_1
libopus 1.3.1 h8ffe710_1 conda-forge
libpng 1.6.37 h1d00b33_2 conda-forge
libprotobuf 3.19.1 h7755175_0 conda-forge
librosa 0.8.1 pyhd8ed1ab_0 conda-forge
libsndfile 1.0.31 h0e60522_1 conda-forge
libsodium 1.0.18 h8d14728_1 conda-forge
libsolv 0.7.19 h7755175_5 conda-forge
libspatialindex 1.9.3 h39d44d4_4 conda-forge
libssh2 1.10.0 h680486a_2 conda-forge
libtiff 4.3.0 h0c97f57_1 conda-forge
libuv 1.40.0 he774522_0
libvorbis 1.3.7 ha925a31_0 conda-forge
libxml2 2.9.12 hf5bbc77_1 conda-forge
libzlib 1.2.11 h8ffe710_1013 conda-forge
llvmlite 0.36.0 py38h57a6900_0 conda-forge
lz4-c 1.9.3 h8ffe710_1 conda-forge
lzo 2.10 hfa6e2cd_1000 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
mamba 0.19.1 py38hecfeebb_0 conda-forge
markdown 3.3.4 pyhd8ed1ab_0 conda-forge
markupsafe 2.0.1 py38h294d835_0 conda-forge
matplotlib 3.4.3 py38haa244fe_1 conda-forge
matplotlib-base 3.4.3 py38h1f000d6_1 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
mccabe 0.6.1 py_1 conda-forge
menuinst 1.4.18 py38haa244fe_1 conda-forge
mistune 0.8.4 py38h294d835_1004 conda-forge
mkl 2021.3.0 hb70f87d_564 conda-forge
more-itertools 8.10.0 pyhd8ed1ab_0 conda-forge
mpmath 1.2.1 pyhd8ed1ab_0 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
multidict 5.2.0 py38h294d835_1 conda-forge
mypy_extensions 0.4.3 py38haa244fe_3 conda-forge
nbclassic 0.3.2 pyhd8ed1ab_0 conda-forge
nbclient 0.5.4 pyhd8ed1ab_0 conda-forge
nbconvert 5.6.1 pypi_0 pypi
nbformat 5.1.3 pyhd8ed1ab_0 conda-forge
nest-asyncio 1.5.1 pyhd8ed1ab_0 conda-forge
ninja 1.10.2 h6d14046_1
notebook 6.4.4 pyha770c72_0 conda-forge
numba 0.53.0 py38h5c177ec_0 conda-forge
numpy 1.21.2 py38h089cfbf_0 conda-forge
numpydoc 1.1.0 py_1 conda-forge
oauthlib 3.1.1 pyhd8ed1ab_0 conda-forge
olefile 0.46 pyh9f0ad1d_1 conda-forge
openjpeg 2.4.0 hb211442_1 conda-forge
openssl 1.1.1l h8ffe710_0 conda-forge
packaging 21.0 pyhd8ed1ab_0 conda-forge
pandas 1.3.3 py38h5d928e2_0 conda-forge
pandoc 2.14.2 h8ffe710_0 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
paramiko 2.7.2 pyh9f0ad1d_0 conda-forge
parso 0.8.2 pyhd8ed1ab_0 conda-forge
pathspec 0.9.0 pyhd8ed1ab_0 conda-forge
pathtools 0.1.2 py_1 conda-forge
pdfkit 0.6.1 pypi_0 pypi
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 8.3.2 py38h794f750_0 conda-forge
pip 21.2.4 pyhd8ed1ab_0 conda-forge
platformdirs 2.3.0 pyhd8ed1ab_0 conda-forge
plotly 5.3.1 py_0 plotly
pluggy 1.0.0 py38haa244fe_1 conda-forge
pooch 1.5.2 pyhd8ed1ab_0 conda-forge
poyo 0.5.0 py_0 conda-forge
prometheus_client 0.11.0 pyhd8ed1ab_0 conda-forge
promise 2.3 py38haa244fe_5 conda-forge
prompt-toolkit 3.0.20 pyha770c72_0 conda-forge
protobuf 3.19.1 py38h885f38d_1 conda-forge
psutil 5.8.0 py38h294d835_1 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
py 1.10.0 pyhd3deb0d_0 conda-forge
py-lz4framed 0.14.0 pypi_0 pypi
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.8 py_0
pybind11-abi 4 hd8ed1ab_3 conda-forge
pycodestyle 2.8.0 pyhd8ed1ab_0 conda-forge
pycosat 0.6.3 py38h294d835_1009 conda-forge
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pydeprecate 0.3.1 pyhd8ed1ab_0 conda-forge
pydocstyle 6.1.1 pyhd8ed1ab_0 conda-forge
pyfftw 0.12.0 py38h46b76f8_3 conda-forge
pyflakes 2.4.0 pyhd8ed1ab_0 conda-forge
pygments 2.10.0 pyhd8ed1ab_0 conda-forge
pyjwt 2.3.0 pyhd8ed1ab_0 conda-forge
pylint 2.7.2 py38haa244fe_0 conda-forge
pyls-spyder 0.4.0 pyhd8ed1ab_0 conda-forge
pynacl 1.4.0 py38h31c79cd_2 conda-forge
pyopenssl 21.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pypiwin32 223 pypi_0 pypi
pyqt 5.12.3 py38haa244fe_7 conda-forge
pyqt-impl 5.12.3 py38h885f38d_7 conda-forge
pyqt5-sip 4.19.18 py38h885f38d_7 conda-forge
pyqtchart 5.12 py38h885f38d_7 conda-forge
pyqtwebengine 5.12.1 py38h885f38d_7 conda-forge
pyrsistent 0.17.3 py38h294d835_2 conda-forge
pysocks 1.7.1 py38haa244fe_3 conda-forge
pysoundfile 0.10.3.post1 pyhd3deb0d_0 conda-forge
pytest 6.2.5 py38haa244fe_0 conda-forge
python 3.8.12 h7840368_1_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-lsp-black 1.0.0 pyhd8ed1ab_0 conda-forge
python-lsp-jsonrpc 1.0.0 pyhd8ed1ab_0 conda-forge
python-lsp-server 1.3.3 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pytorch 1.10.0 py3.8_cuda11.3_cudnn8_0 pytorch
pytorch-lightning 1.5.6 pyhd8ed1ab_0 conda-forge
pytorch-mutex 1.0 cuda pytorch
pytz 2021.3 pyhd8ed1ab_0 conda-forge
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pywin32 301 py38h294d835_0 conda-forge
pywin32-ctypes 0.2.0 py38haa244fe_1003 conda-forge
pywinpty 1.1.4 py38hd3f51b4_0 conda-forge
pyyaml 5.4.1 py38h294d835_1 conda-forge
pyzmq 22.3.0 py38h09162b1_0 conda-forge
qdarkstyle 3.0.2 pyhd8ed1ab_0 conda-forge
qstylizer 0.2.1 pyhd8ed1ab_0 conda-forge
qt 5.12.9 h5909a2a_4 conda-forge
qtawesome 1.0.3 pyhd8ed1ab_0 conda-forge
qtconsole 5.2.2 pyhd8ed1ab_0 conda-forge
qtpy 1.11.2 pyhd8ed1ab_0 conda-forge
regex 2021.10.8 py38h294d835_0 conda-forge
reproc 14.2.3 h8ffe710_0 conda-forge
reproc-cpp 14.2.3 h0e60522_0 conda-forge
requests 2.26.0 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.0 pyh9f0ad1d_0 conda-forge
requests-unixsocket 0.2.0 py_0 conda-forge
resampy 0.2.2 py_0 conda-forge
rope 0.20.1 pyhd8ed1ab_0 conda-forge
rsa 4.7.2 pyh44b312d_0 conda-forge
rtree 0.9.7 py38h8b54edf_2 conda-forge
ruamel_yaml 0.15.100 py38h2bbff1b_0
scikit-learn 1.0 py38h8224a6f_1 conda-forge
scipy 1.7.1 py38ha1292f7_0 conda-forge
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
sentry-sdk 1.5.0 pyhd8ed1ab_0 conda-forge
setuptools 58.2.0 py38haa244fe_0 conda-forge
shortuuid 1.0.8 py38haa244fe_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
smmap 3.0.5 pyh44b312d_0 conda-forge
sniffio 1.2.0 py38haa244fe_1 conda-forge
snowballstemmer 2.1.0 pyhd8ed1ab_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
sounddevice 0.4.3 pypi_0 pypi
sphinx 4.2.0 pyh6c4a22f_0 conda-forge
sphinxcontrib-applehelp 1.0.2 py_0 conda-forge
sphinxcontrib-devhelp 1.0.2 py_0 conda-forge
sphinxcontrib-htmlhelp 2.0.0 pyhd8ed1ab_0 conda-forge
sphinxcontrib-jsmath 1.0.1 py_0 conda-forge
sphinxcontrib-qthelp 1.0.3 py_0 conda-forge
sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_0 conda-forge
spyder 5.2.1 py38haa244fe_0 conda-forge
spyder-kernels 2.2.0 py38haa244fe_0 conda-forge
sqlite 3.36.0 h8ffe710_2 conda-forge
subprocess32 3.5.4 py_1 conda-forge
sympy 1.9 py38haa244fe_0 conda-forge
tbb 2021.3.0 h2d74725_0 conda-forge
tenacity 8.0.1 py38haa95532_0
tensorboard 2.6.0 pyhd8ed1ab_1 conda-forge
tensorboard-data-server 0.6.0 py38haa244fe_1 conda-forge
tensorboard-plugin-wit 1.8.0 pyh44b312d_0 conda-forge
termcolor 1.1.0 py_2 conda-forge
terminado 0.12.1 py38haa244fe_0 conda-forge
testpath 0.5.0 pyhd8ed1ab_0 conda-forge
textdistance 4.2.1 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.0.0 pyh8a188c0_0 conda-forge
three-merge 0.1.1 pyh9f0ad1d_0 conda-forge
tinycss2 1.1.0 pyhd8ed1ab_0 conda-forge
tk 8.6.11 h8ffe710_1 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 1.2.1 pyhd8ed1ab_0 conda-forge
torchinfo 1.5.4 pyhd8ed1ab_0 conda-forge
torchmetrics 0.6.0 pyhd8ed1ab_0 conda-forge
torchsummary 1.5.1 pypi_0 pypi
torchvision 0.11.1 py38_cu113 pytorch
tornado 6.1 py38h294d835_1 conda-forge
tqdm 4.62.3 pyhd8ed1ab_0 conda-forge
traitlets 4.3.3 pypi_0 pypi
typed-ast 1.4.3 py38h294d835_0 conda-forge
typing-extensions 3.10.0.2 hd8ed1ab_0 conda-forge
typing_extensions 3.10.0.2 pyha770c72_0 conda-forge
ucrt 10.0.20348.0 h57928b3_0 conda-forge
ujson 4.2.0 py38h885f38d_0 conda-forge
urllib3 1.26.7 pyhd8ed1ab_0 conda-forge
vc 14.2 hb210afc_5 conda-forge
vs2015_runtime 14.29.30037 h902a5da_5 conda-forge
wandb 0.12.9 pyhd8ed1ab_0 conda-forge
watchdog 2.1.6 py38haa244fe_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 0.58.0 py38haa95532_4
werkzeug 2.0.1 pyhd8ed1ab_0 conda-forge
wheel 0.37.0 pyhd8ed1ab_1 conda-forge
whichcraft 0.6.1 py_0 conda-forge
widgetsnbextension 3.5.2 py38haa244fe_0 conda-forge
win10toast 0.9 pypi_0 pypi
win_inet_pton 1.1.0 py38haa244fe_2 conda-forge
winpty 0.4.3 4 conda-forge
wrapt 1.12.1 py38h294d835_3 conda-forge
xz 5.2.5 h62dcd97_1 conda-forge
yaml 0.2.5 he774522_0 conda-forge
yaml-cpp 0.6.3 ha925a31_4 conda-forge
yapf 0.31.0 pyhd8ed1ab_0 conda-forge
yarl 1.7.2 py38h294d835_1 conda-forge
yaspin 2.1.0 pyhd8ed1ab_0 conda-forge
zeromq 4.3.4 h0e60522_1 conda-forge
zipp 3.6.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h8ffe710_1013 conda-forge
zstd 1.5.0 h6255e5f_0 conda-forge
conda info
active environment : pyt
active env location : D:\Anaconda\envs\pyt
shell level : 2
user config file : C:\Users\OverL\.condarc
populated config files : C:\Users\OverL\.condarc
conda version : 4.10.3
conda-build version : 3.18.11
python version : 3.8.3.final.0
virtual packages : __cuda=11.5=0
__win=0=0
__archspec=1=x86_64
base environment : D:\Anaconda (writable)
conda av data dir : D:\Anaconda\etc\conda
conda av metadata url : None
channel URLs : https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : D:\Anaconda\pkgs
C:\Users\OverL\.conda\pkgs
C:\Users\OverL\AppData\Local\conda\conda\pkgs
envs directories : D:\Anaconda\envs
C:\Users\OverL\.conda\envs
C:\Users\OverL\AppData\Local\conda\conda\envs
platform : win-64
user-agent : conda/4.10.3 requests/2.24.0 CPython/3.8.3 Windows/10 Windows/10.0.19041
administrator : False
netrc file : C:\Users\OverL/.netrc
offline mode : False
MRE from docs:
import os
import torch
from pytorch_lightning import LightningModule, Trainer
from torch import nn
from torch.nn import functional as F
from torch.utils.data import DataLoader, random_split
from torchmetrics import Accuracy
from torchvision import transforms
from torchvision.datasets import MNIST
PATH_DATASETS = os.environ.get("PATH_DATASETS", ".")
AVAIL_GPUS = min(1, torch.cuda.device_count())
BATCH_SIZE = 256 if AVAIL_GPUS else 64
class MNISTModel(LightningModule):
def __init__(self):
super().__init__()
self.l1 = torch.nn.Linear(28 * 28, 10)
def forward(self, x):
return torch.relu(self.l1(x.view(x.size(0), -1)))
def training_step(self, batch, batch_nb):
x, y = batch
loss = F.cross_entropy(self(x), y)
return loss
def configure_optimizers(self):
return torch.optim.Adam(self.parameters(), lr=0.02)
# Init our model
mnist_model = MNISTModel()
# Init DataLoader from MNIST Dataset
train_ds = MNIST(PATH_DATASETS, train=True, download=True, transform=transforms.ToTensor())
train_loader = DataLoader(train_ds, batch_size=BATCH_SIZE)
# Initialize a trainer
trainer = Trainer(
gpus=AVAIL_GPUS,
max_epochs=3,
progress_bar_refresh_rate=20,
# Train the model ⚡
trainer.fit(mnist_model, train_loader)
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We have this code here:
https://github.com/PyTorchLightning/pytorch-lightning/blob/cf5ef32f7bc82b9fd76e1d8cc53b555b4422680c/pytorch_lightning/callbacks/progress/tqdm_progress.py#L23-L27
Which means when you uninstall the ipywidgets, you hit this import:
from tqdm import tqdm
and otherwise
from tqdm.auto import tqdm
So I suspect if you did
from tqdm.auto import tqdm
for j in tqdm(100, file=sys.stdout, leave=False, unit_scale=True, desc='loop'):
time.sleep(1)
it would show the same behavior. Can you confirm?
Can you confirm?
Confirmed, with a slight difference - it shows an empty progress bar (whereas PL doesn't show any):
loop: 0%| | 0.00/100 [00:00<?, ?it/s]
rich progress bar
Can it be used now?
These lines were added here #2417 to fix another issue with tqdm+ipywidgets. I suspect what you are seeing is another problem with tqdm/ipywidgets itself upstream, I am unsure.
It's maybe worth reporting there too to get more insight.
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