yolor
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Get nan in the losses during training
During training in each epoch after a while the losses printed become nan.
Does anyone know what can cause this?
Same issue, did'not find solution.
do you use pytorch 1.9? please use suggested environment.
do you use pytorch 1.9? please use suggested environment.
No, pytorch 1.5.0 with apex 0.1 is used, any solution for this environment?
https://github.com/WongKinYiu/yolor#installation
by the way, i have not tested the code on gpu which do not support mixed precision training.
Is there a way to replace pytorch.amp with apex? Cause my environment is restricted to pytorch 1.5.0 with apex 0.1.
I am getting nan,too.
I am trying to train a custom model that predicts 6 classes. I am working with satallite images. Therefore, my input channels are not only rgb. I am using 12 channels
here is my environment packages:
Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
absl-py 1.0.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.1 py38h0a891b7_1 conda-forge
aiosignal 1.2.0 pyhd8ed1ab_0 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
attrs 21.4.0 pyhd8ed1ab_0 conda-forge
blas 1.0 mkl
blinker 1.4 py_1 conda-forge
brotlipy 0.7.0 py38h0a891b7_1004 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2022.4.26 h06a4308_0 anaconda
cachetools 5.0.0 pyhd8ed1ab_0 conda-forge
certifi 2021.10.8 py38h06a4308_2 anaconda
cffi 1.15.0 py38hd667e15_1
charset-normalizer 2.0.12 pyhd8ed1ab_0 conda-forge
click 8.1.3 py38h578d9bd_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
cryptography 37.0.2 py38h2b5fc30_0 conda-forge
cudatoolkit 9.2 0
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
cython 0.29.30 py38hfa26641_0 conda-forge
freetype 2.11.0 h70c0345_0
frozenlist 1.3.0 py38h0a891b7_1 conda-forge
giflib 5.2.1 h7b6447c_0
google-auth 2.6.6 pyh6c4a22f_0 conda-forge
google-auth-oauthlib 0.4.6 pyhd8ed1ab_0 conda-forge
grpcio 1.42.0 py38hce63b2e_0
idna 3.3 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.11.4 py38h578d9bd_0 conda-forge
intel-openmp 2021.4.0 h06a4308_3561
jpeg 9e h7f8727e_0
kiwisolver 1.4.2 py38h43d8883_1 conda-forge
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
libffi 3.3 he6710b0_2
libgcc-ng 11.2.0 h1234567_0
libgfortran-ng 7.5.0 ha8ba4b0_17 anaconda
libgfortran4 7.5.0 ha8ba4b0_17 anaconda
libgomp 11.2.0 h1234567_0
libpng 1.6.37 hbc83047_0
libprotobuf 3.15.8 h780b84a_1 conda-forge
libstdcxx-ng 11.2.0 h1234567_0
libtiff 4.2.0 h2818925_1
libuv 1.40.0 h7b6447c_0
libwebp 1.2.2 h55f646e_0
libwebp-base 1.2.2 h7f8727e_0
lz4-c 1.9.3 h295c915_1
markdown 3.3.7 pyhd8ed1ab_0 conda-forge
matplotlib-base 3.4.3 py38hf4fb855_1 conda-forge
mkl 2021.4.0 h06a4308_640
mkl-service 2.4.0 py38h7f8727e_0
mkl_fft 1.3.1 py38hd3c417c_0
mkl_random 1.2.2 py38h51133e4_0
multidict 6.0.2 py38h0a891b7_1 conda-forge
ncurses 6.3 h7f8727e_2
ninja 1.10.2 h06a4308_5
ninja-base 1.10.2 hd09550d_5
numpy 1.22.3 py38he7a7128_0
numpy-base 1.22.3 py38hf524024_0
oauthlib 3.2.0 pyhd8ed1ab_0 conda-forge
opencv-python 4.5.5.64 pypi_0 pypi
openssl 1.1.1o h7f8727e_0
pillow 9.0.1 py38h22f2fdc_0
pip 21.2.4 py38h06a4308_0
protobuf 3.15.8 py38h709712a_0 conda-forge
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.7 py_0 conda-forge
pycocotools 2.0.4 py38h6c62de6_0 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pyjwt 2.4.0 pyhd8ed1ab_0 conda-forge
pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 py38h578d9bd_5 conda-forge
python 3.8.13 h12debd9_0
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pytorch 1.7.0 py3.8_cuda9.2.148_cudnn7.6.3_0 pytorch
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pyyaml 6.0 pypi_0 pypi
readline 8.1.2 h7f8727e_1
requests 2.27.1 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.1 pyhd8ed1ab_0 conda-forge
rsa 4.8 pyhd8ed1ab_0 conda-forge
scipy 1.7.3 py38hc147768_0 anaconda
setuptools 61.2.0 py38h06a4308_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.38.3 hc218d9a_0
tensorboard 2.9.0 pyhd8ed1ab_0 conda-forge
tensorboard-data-server 0.6.0 py38h2b5fc30_2 conda-forge
tensorboard-plugin-wit 1.8.1 pyhd8ed1ab_0 conda-forge
tk 8.6.11 h1ccaba5_1
torchaudio 0.7.0 py38 pytorch
torchvision 0.8.0 py38_cu92 pytorch
tornado 6.1 py38h0a891b7_3 conda-forge
tqdm 4.64.0 pyhd8ed1ab_0 conda-forge
typing-extensions 4.1.1 hd3eb1b0_0
typing_extensions 4.1.1 pyh06a4308_0
urllib3 1.26.9 pyhd8ed1ab_0 conda-forge
werkzeug 2.1.2 pyhd8ed1ab_1 conda-forge
wheel 0.37.1 pyhd3eb1b0_0
xz 5.2.5 h7f8727e_1
yaml 0.2.5 h7b6447c_0 anaconda
yarl 1.7.2 py38h0a891b7_2 conda-forge
zipp 3.8.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.12 h7f8727e_2
zstd 1.5.2 ha4553b6_0