friends, Help me to resolve this problem please
monitor="val_accuracy"
callbacks=[TensorBoard(get_run_logdir(),profile_batch = '0,{}'.format(batch_size),histogram_freq=1),
ModelCheckpoint("model.h5",save_weights_only=True,monitor=monitor),
ReduceLROnPlateau(patience=1,factor=0.5,monitor=monitor),
EarlyStopping(patience=10,monitor=monitor)]
I set url in tensorboard profile to localhost:6009 while training my model in conda env with jupyter lab. It says Failed to capture profile: empty trace result
I use tensorflow 2.10.1 on windows with conda env
tensorboard
profiler window
Here is my env modules
absl-py==1.4.0
aggdraw==1.3.18.post0
alembic==1.13.2
anyio==4.4.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==2.4.1
astunparse==1.6.3
async-lru==2.0.4
attrs==23.2.0
Babel==2.15.0
beautifulsoup4==4.12.3
bleach==6.1.0
cachetools==5.3.3
catboost==1.2.5
certifi==2024.6.2
cffi==1.16.0
charset-normalizer==3.3.2
click==8.1.7
cloudpickle==3.0.0
colorama==0.4.6
colorlog==6.8.2
comm==0.2.2
contourpy==1.2.1
cycler==0.12.1
debugpy==1.8.2
decorator==5.1.1
defusedxml==0.7.1
dill==0.3.8
dm-tree==0.1.8
docstring_parser==0.16
etils==1.7.0
exceptiongroup==1.2.1
executing==2.0.1
fastjsonschema==2.20.0
flatbuffers==24.3.25
fonttools==4.53.0
fqdn==1.5.1
fsspec==2024.6.0
gast==0.4.0
google-auth==2.30.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
googleapis-common-protos==1.63.2
graphviz==0.20.3
greenlet==3.0.3
grpcio==1.64.1
gviz-api==1.10.0
h11==0.14.0
h5py==3.11.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
immutabledict==4.2.0
importlib_resources==6.4.0
ipykernel==6.29.4
ipython==8.25.0
ipywidgets==8.1.3
isoduration==20.11.0
jedi==0.19.1
Jinja2==3.1.4
joblib==1.4.2
json5==0.9.25
jsonpointer==3.0.0
jsonschema==4.22.0
jsonschema-specifications==2023.12.1
jupyter==1.0.0
jupyter-console==6.6.3
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client==8.6.2
jupyter_core==5.7.2
jupyter_server==2.14.1
jupyter_server_terminals==0.5.3
jupyterlab==4.2.3
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.2
jupyterlab_widgets==3.0.11
keras==2.10.0
Keras-Preprocessing==1.1.2
kiwisolver==1.4.5
libclang==18.1.1
lightgbm==4.4.0
Mako==1.3.5
Markdown==3.6
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.9.0
matplotlib-inline==0.1.7
mdurl==0.1.2
mistune==3.0.2
ml-dtypes==0.3.2
namex==0.0.8
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nest-asyncio==1.6.0
notebook==7.2.1
notebook_shim==0.2.4
numpy==1.26.4
oauthlib==3.2.2
openfe==0.0.12
opt-einsum==3.3.0
optree==0.11.0
optuna==3.6.1
overrides==7.7.0
packaging==24.1
pandas==2.2.2
pandocfilters==1.5.1
parso==0.8.4
pillow==10.3.0
platformdirs==4.2.2
plotly==5.22.0
prometheus_client==0.20.0
promise==2.3
prompt_toolkit==3.0.47
protobuf==3.19.6
psutil==6.0.0
pure-eval==0.2.2
pyarrow==16.1.0
pyasn1==0.6.0
pyasn1_modules==0.4.0
pycparser==2.22
Pygments==2.18.0
pyparsing==3.1.2
python-dateutil==2.9.0.post0
python-json-logger==2.0.7
pytz==2024.1
pywin32==306
pywinpty==2.0.13
PyYAML==6.0.1
pyzmq==26.0.3
qtconsole==5.5.2
QtPy==2.4.1
referencing==0.35.1
requests==2.32.3
requests-oauthlib==2.0.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==13.7.1
rpds-py==0.18.1
rsa==4.9
scikit-learn==1.5.0
scipy==1.14.0
Send2Trash==1.8.3
simple_parsing==0.1.5
six==1.16.0
sniffio==1.3.1
soupsieve==2.5
SQLAlchemy==2.0.31
stack-data==0.6.3
tenacity==8.4.2
tensorboard==2.10.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorboard_plugin_profile==2.15.1
tensorflow==2.10.1
tensorflow-addons==0.18.0
tensorflow-datasets==4.6.0
tensorflow-estimator==2.10.0
tensorflow-hub==0.12.0
tensorflow-io-gcs-filesystem==0.31.0
tensorflow-metadata==1.8.0
tensorflow-model-optimization==0.7.0
tensorflow-probability==0.18.0
tensorflow_intel==2.10.0
termcolor==2.4.0
terminado==0.18.1
threadpoolctl==3.5.0
tinycss2==1.3.0
toml==0.10.2
tomli==2.0.1
tornado==6.4.1
tqdm==4.66.4
traitlets==5.14.3
typeguard==4.3.0
types-python-dateutil==2.9.0.20240316
typing_extensions==4.12.2
tzdata==2024.1
uri-template==1.3.0
urllib3==2.2.2
visualkeras==0.0.2
wcwidth==0.2.13
webcolors==24.6.0
webencodings==0.5.1
websocket-client==1.8.0
Werkzeug==3.0.3
widgetsnbextension==4.0.11
wrapt==1.16.0
zipp==3.19.2
I tried installing tensorboard_plugin_profile==2.15.1
I tried setting localhost:6010
I tried changing batch size TensorBoard(get_run_logdir(),profile_batch = '0,{}'.format(batch_size),histogram_freq=1),
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