tensorflow / tensorboard

TensorFlow's Visualization Toolkit
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Tensorboard starting but not showing scalars when used on AWS Sagemaker #6032

Open ghost opened 2 years ago

ghost commented 2 years ago

Environment information (required)

I am running Tensorboard in a Jupyter Lab, on AWS Sagemaker.
Tensorboard is installed via Pytorch.
Tensorboard version: 2.10.1

Diagnostics

Diagnostics output `````` --- check: autoidentify INFO: diagnose_tensorboard.py version 516a2f9433ba4f9c3a4fdb0f89735870eda054a1 --- check: general INFO: sys.version_info: sys.version_info(major=3, minor=7, micro=10, releaselevel='final', serial=0) INFO: os.name: posix INFO: os.uname(): posix.uname_result(sysname='Linux', nodename='ip-xxx.eu-west-1.compute.internal', release='5.10.102-99.473.amzn2.x86_64', version='#1 SMP Wed Mar 2 19:14:12 UTC 2022', machine='x86_64') INFO: sys.getwindowsversion(): N/A --- check: package_management INFO: has conda-meta: True INFO: $VIRTUAL_ENV: None --- check: installed_packages WARNING: no installation among: ['tb-nightly', 'tensorboard', 'tensorflow-tensorboard'] WARNING: no installation among: ['tensorflow', 'tensorflow-gpu', 'tf-nightly', 'tf-nightly-2.0-preview', 'tf-nightly-gpu', 'tf-nightly-gpu-2.0-preview'] WARNING: no installation among: ['tensorflow-estimator', 'tensorflow-estimator-2.0-preview', 'tf-estimator-nightly'] --- check: tensorboard_python_version Traceback (most recent call last): File "tb_diag.py", line 528, in main suggestions.extend(check()) File "tb_diag.py", line 81, in wrapper result = fn() File "tb_diag.py", line 277, in tensorboard_python_version from tensorboard import version ModuleNotFoundError: No module named 'tensorboard' --- check: tensorflow_python_version Traceback (most recent call last): File "tb_diag.py", line 528, in main suggestions.extend(check()) File "tb_diag.py", line 81, in wrapper result = fn() File "tb_diag.py", line 284, in tensorflow_python_version import tensorflow as tf ModuleNotFoundError: No module named 'tensorflow' --- check: tensorboard_data_server_version INFO: no data server installed --- check: tensorboard_binary_path INFO: which tensorboard: b'/home/ec2-user/SageMaker/envs/a2s-aws/bin/tensorboard\n' --- check: addrinfos socket.has_ipv6 = True socket.AF_UNSPEC = socket.SOCK_STREAM = socket.AI_ADDRCONFIG = socket.AI_PASSIVE = Loopback flags: Loopback infos: [(, , 6, '', ('::1', 0, 0, 0)), (, , 6, '', ('127.0.0.1', 0))] Wildcard flags: Wildcard infos: [(, , 6, '', ('0.0.0.0', 0)), (, , 6, '', ('::', 0, 0, 0))] --- check: readable_fqdn INFO: socket.getfqdn(): 'ip-xxx.eu-west-1.compute.internal' --- check: stat_tensorboardinfo INFO: directory: /tmp/.tensorboard-info INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=101312705, st_dev=66306, st_nlink=2, st_uid=1000, st_gid=1000, st_size=28, st_atime=1667911951, st_mtime=1667913983, st_ctime=1667913983) INFO: mode: 0o40777 --- check: source_trees_without_genfiles INFO: tensorboard_roots (0): []; bad_roots (0): [] --- check: full_pip_freeze INFO: pip freeze --all: alabaster==0.7.12 anaconda-client==1.7.2 anaconda-project @ file:///tmp/build/80754af9/anaconda-project_1610472525955/work anyio==3.5.0 appdirs==1.4.4 argh==0.26.2 argon2-cffi @ file:///tmp/build/80754af9/argon2-cffi_1613036642480/work asn1crypto @ file:///tmp/build/80754af9/asn1crypto_1596577642040/work astroid @ file:///tmp/build/80754af9/astroid_1613500851753/work astropy @ file:///tmp/build/80754af9/astropy_1606922938720/work async-generator==1.10 atomicwrites==1.4.0 attrs @ file:///tmp/build/80754af9/attrs_1604765588209/work autopep8 @ file:///tmp/build/80754af9/autopep8_1613246362269/work autovizwidget==0.19.1 awscli==1.27.2 Babel==2.9.1 backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work backports.shutil-get-terminal-size @ file:///tmp/build/80754af9/backports.shutil_get_terminal_size_1608222128777/work bcrypt==4.0.1 beautifulsoup4 @ file:///home/linux1/recipes/ci/beautifulsoup4_1610988766420/work bitarray @ file:///tmp/build/80754af9/bitarray_1611254370778/work bkcharts==0.2 black==19.10b0 bleach==4.1.0 bokeh==2.4.2 boto==2.49.0 boto3==1.26.2 botocore==1.29.2 Bottleneck==1.3.2 brotlipy==0.7.0 cached-property==1.5.2 certifi==2021.10.8 cffi==1.14.0 chardet==3.0.4 charset-normalizer==2.0.12 click @ file:///home/linux1/recipes/ci/click_1610990599742/work cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1598884132938/work clyent==1.2.2 colorama==0.4.3 conda==4.8.4 conda-package-handling==1.7.0 contextlib2==0.6.0.post1 coverage==6.3.2 cryptography==36.0.2 cycler==0.10.0 Cython @ file:///tmp/build/80754af9/cython_1614014840177/work cytoolz==0.11.0 dask @ file:///tmp/build/80754af9/dask-core_1613253194046/work decorator @ file:///home/ktietz/src/ci/decorator_1611930055503/work defusedxml @ file:///home/ktietz/src/ci_mi/defusedxml_1612808095953/work diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work dill==0.3.4 distributed @ file:///tmp/build/80754af9/distributed_1613253474444/work distro==1.8.0 docker==6.0.1 docker-compose==1.29.2 dockerpty==0.4.1 docopt==0.6.2 docutils==0.15.2 dparse==0.5.1 entrypoints==0.3 environment-kernels==1.1.1 et-xmlfile==1.0.1 fastcache==1.1.0 filelock @ file:///home/linux1/recipes/ci/filelock_1610993975404/work flake8 @ file:///tmp/build/80754af9/flake8_1601911421857/work Flask @ file:///home/ktietz/src/ci/flask_1611932660458/work Flask-Cors==3.0.10 fsspec @ file:///tmp/build/80754af9/fsspec_1602684995936/work future==0.18.2 gevent @ file:///tmp/build/80754af9/gevent_1610995761849/work gitdb==4.0.9 GitPython==3.1.29 glob2 @ file:///home/linux1/recipes/ci/glob2_1610991677669/work gmpy2==2.0.8 google-pasta==0.2.0 greenlet @ file:///tmp/build/80754af9/greenlet_1611958357961/work gssapi==1.7.3 h5py==2.10.0 hdijupyterutils==0.19.1 HeapDict==1.0.1 html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work idna==2.9 imagecodecs @ file:///tmp/build/80754af9/imagecodecs_1611258163564/work imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work imagesize @ file:///home/ktietz/src/ci/imagesize_1611921604382/work importlib-metadata @ file:///tmp/build/80754af9/importlib-metadata_1602276842396/work iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work intervaltree @ file:///tmp/build/80754af9/intervaltree_1598376443606/work ipykernel @ file:///tmp/build/80754af9/ipykernel_1596206598566/work/dist/ipykernel-5.3.4-py3-none-any.whl ipython @ file:///home/conda/feedstock_root/build_artifacts/ipython_1645888813068/work ipython-genutils @ file:///tmp/build/80754af9/ipython_genutils_1606773439826/work ipywidgets @ file:///tmp/build/80754af9/ipywidgets_1610481889018/work isort @ file:///tmp/build/80754af9/isort_1612243941122/work itsdangerous==1.1.0 jdcal==1.4.1 jedi @ file:///tmp/build/80754af9/jedi_1606932558467/work jeepney @ file:///tmp/build/80754af9/jeepney_1606148855031/work Jinja2==3.0.3 jmespath==0.10.0 joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work json5==0.9.5 jsonschema @ file:///tmp/build/80754af9/jsonschema_1602607155483/work jupyter==1.0.0 jupyter-client @ file:///tmp/build/80754af9/jupyter_client_1601311786391/work jupyter-console @ file:///tmp/build/80754af9/jupyter_console_1598884538475/work jupyter-core @ file:///tmp/build/80754af9/jupyter_core_1612213308260/work jupyter-server==1.15.6 jupyter-server-mathjax==0.2.6 jupyterlab==3.3.2 jupyterlab-pygments @ file:///tmp/build/80754af9/jupyterlab_pygments_1601490720602/work jupyterlab-server==2.11.2 jupyterlab-widgets @ file:///tmp/build/80754af9/jupyterlab_widgets_1609884341231/work keyring @ file:///tmp/build/80754af9/keyring_1611778520348/work kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1612282414123/work krb5==0.3.0 lazy-object-proxy @ file:///tmp/build/80754af9/lazy-object-proxy_1606850042850/work libarchive-c @ file:///home/linux1/recipes/ci/python-libarchive-c_1610974153025/work llvmlite==0.34.0 locket==0.2.1 lxml==4.8.0 MarkupSafe==2.1.1 matplotlib @ file:///tmp/build/80754af9/matplotlib-suite_1613407855456/work matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1631080358261/work mccabe==0.6.1 mistune @ file:///tmp/build/80754af9/mistune_1594373098390/work mkl-fft==1.2.1 mkl-random==1.1.1 mkl-service==2.3.0 mock @ file:///tmp/build/80754af9/mock_1607622725907/work more-itertools @ file:///tmp/build/80754af9/more-itertools_1613676688952/work mpmath==1.1.0 msgpack @ file:///tmp/build/80754af9/msgpack-python_1612287175283/work multipledispatch==0.6.0 multiprocess==0.70.12.2 mypy-extensions==0.4.3 nbclassic==0.3.7 nbclient @ file:///tmp/build/80754af9/nbclient_1613676291033/work nbconvert @ file:///tmp/build/80754af9/nbconvert_1601914821128/work nbdime==3.1.1 nbformat==5.2.0 nest-asyncio @ file:///tmp/build/80754af9/nest-asyncio_1613680548246/work networkx @ file:///tmp/build/80754af9/networkx_1598376031484/work nltk==3.7 nose @ file:///tmp/build/80754af9/nose_1606773131901/work notebook==6.4.10 notebook-shim==0.1.0 numba @ file:///tmp/build/80754af9/numba_1600102479638/work numexpr @ file:///tmp/build/80754af9/numexpr_1609354613445/work numpy==1.21.5 numpydoc @ file:///tmp/build/80754af9/numpydoc_1605117425582/work olefile==0.46 opencv-python==4.5.5.64 openpyxl @ file:///tmp/build/80754af9/openpyxl_1610651698508/work packaging==21.3 pandas==1.2.2 pandocfilters @ file:///tmp/build/80754af9/pandocfilters_1605120451932/work paramiko==2.11.0 parso==0.7.0 partd==1.1.0 path @ file:///tmp/build/80754af9/path_1614022219955/work pathlib2 @ file:///tmp/build/80754af9/pathlib2_1607024979554/work pathos==0.2.8 pathspec==0.7.0 pathtools==0.1.2 patsy==0.5.1 pep8==1.7.1 pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work pid==3.0.4 Pillow==9.0.1 pip==22.0.4 pkginfo==1.7.0 plotly==5.6.0 pluggy==0.13.1 ply==3.11 pox==0.3.0 ppft==1.6.6.4 prometheus-client @ file:///tmp/build/80754af9/prometheus_client_1606344362066/work prompt-toolkit @ file:///tmp/build/80754af9/prompt-toolkit_1602688806899/work protobuf==3.15.2 protobuf3-to-dict==0.1.5 psutil @ file:///tmp/build/80754af9/psutil_1612298016854/work psycopg2-binary==2.9.3 ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl py @ file:///tmp/build/80754af9/py_1607971587848/work py4j==0.10.9.5 pyasn1==0.4.8 pycodestyle @ file:///home/ktietz/src/ci_mi/pycodestyle_1612807597675/work pycosat==0.6.3 pycparser==2.20 pycrypto==2.6.1 pycurl==7.43.0.5 pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1598885001695/work pyerfa @ file:///tmp/build/80754af9/pyerfa_1613848714600/work pyflakes @ file:///home/ktietz/src/ci_ipy2/pyflakes_1612551159640/work pygal==2.4.0 Pygments @ file:///tmp/build/80754af9/pygments_1613849567472/work pyinstrument==3.4.2 pyinstrument-cext==0.2.4 pykerberos==1.2.1 pylint @ file:///tmp/build/80754af9/pylint_1614008007455/work pyls-black @ file:///tmp/build/80754af9/pyls-black_1607553132291/work pyls-spyder @ file:///tmp/build/80754af9/pyls-spyder_1613849700860/work PyNaCl==1.5.0 pyodbc===4.0.0-unsupported pyOpenSSL==19.1.0 pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work pyrsistent @ file:///tmp/build/80754af9/pyrsistent_1600141707582/work PySocks==1.7.1 pyspark==3.3.0 pyspnego==0.5.0 pytest==6.2.2 python-dateutil @ file:///home/ktietz/src/ci/python-dateutil_1611928101742/work python-dotenv==0.21.0 python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1600278539111/work python-language-server @ file:///tmp/build/80754af9/python-language-server_1607972495879/work pytz @ file:///tmp/build/80754af9/pytz_1612215392582/work PyWavelets @ file:///tmp/build/80754af9/pywavelets_1601658308664/work pyxdg @ file:///tmp/build/80754af9/pyxdg_1603822279816/work PyYAML==5.4.1 pyzmq==20.0.0 QDarkStyle==2.8.1 QtAwesome @ file:///tmp/build/80754af9/qtawesome_1602272867890/work qtconsole @ file:///tmp/build/80754af9/qtconsole_1612458529756/work QtPy==1.9.0 regex==2022.3.15 requests==2.27.1 requests-kerberos==0.14.0 rope @ file:///tmp/build/80754af9/rope_1602264064449/work rsa==4.7.2 Rtree==0.9.4 ruamel_yaml==0.15.87 s3transfer==0.6.0 safety==1.10.3 sagemaker==2.116.0 sagemaker-nbi-agent @ file:///tmp/sagemaker_nbi_agent sagemaker-pyspark==1.4.5 schema==0.7.5 scikit-image==0.17.2 scikit-learn @ file:///tmp/build/80754af9/scikit-learn_1598376882706/work scipy @ file:///tmp/build/80754af9/scipy_1614022789548/work seaborn @ file:///tmp/build/80754af9/seaborn_1608578541026/work SecretStorage @ file:///tmp/build/80754af9/secretstorage_1614022884812/work Send2Trash==1.8.0 setuptools==46.4.0.post20200518 shap==0.40.0 simplegeneric==0.8.1 singledispatch @ file:///tmp/build/80754af9/singledispatch_1614023095590/work six==1.14.0 slicer==0.0.7 smdebug==1.0.12 smdebug-rulesconfig==1.0.1 smmap==5.0.0 sniffio==1.2.0 snowballstemmer @ file:///tmp/build/80754af9/snowballstemmer_1611258885636/work sortedcollections @ file:///tmp/build/80754af9/sortedcollections_1611172717284/work sortedcontainers @ file:///tmp/build/80754af9/sortedcontainers_1606865132123/work soupsieve @ file:///tmp/build/80754af9/soupsieve_1614023247537/work sparkmagic==0.15.0 Sphinx @ file:///tmp/build/80754af9/sphinx_1614023429948/work sphinxcontrib-applehelp @ file:///home/ktietz/src/ci/sphinxcontrib-applehelp_1611920841464/work sphinxcontrib-devhelp @ file:///home/ktietz/src/ci/sphinxcontrib-devhelp_1611920923094/work sphinxcontrib-htmlhelp @ file:///home/ktietz/src/ci/sphinxcontrib-htmlhelp_1611920974801/work sphinxcontrib-jsmath @ file:///home/ktietz/src/ci/sphinxcontrib-jsmath_1611920942228/work sphinxcontrib-qthelp @ file:///home/ktietz/src/ci/sphinxcontrib-qthelp_1611921055322/work sphinxcontrib-serializinghtml @ file:///home/ktietz/src/ci/sphinxcontrib-serializinghtml_1611920755253/work sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1597081412696/work spyder @ file:///tmp/build/80754af9/spyder_1612463486277/work spyder-kernels @ file:///tmp/build/80754af9/spyder-kernels_1614030583822/work SQLAlchemy @ file:///tmp/build/80754af9/sqlalchemy_1612467559264/work statsmodels @ file:///tmp/build/80754af9/statsmodels_1614023743307/work sympy @ file:///tmp/build/80754af9/sympy_1608137658835/work tables==3.6.1 tblib @ file:///tmp/build/80754af9/tblib_1597928476713/work tenacity==8.0.1 terminado==0.9.2 testpath @ file:///home/ktietz/src/ci/testpath_1611930608132/work textdistance @ file:///tmp/build/80754af9/textdistance_1612461398012/work texttable==1.6.4 threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl three-merge @ file:///tmp/build/80754af9/three-merge_1607553261110/work tifffile @ file:///tmp/build/80754af9/tifffile_1610739638720/work toml @ file:///tmp/build/80754af9/toml_1592853716807/work toolz @ file:///home/linux1/recipes/ci/toolz_1610987900194/work tornado @ file:///tmp/build/80754af9/tornado_1606942283357/work tqdm==4.46.0 traitlets @ file:///home/ktietz/src/ci/traitlets_1611929699868/work typed-ast @ file:///tmp/build/80754af9/typed-ast_1610484562261/work typing_extensions==4.1.1 ujson @ file:///tmp/build/80754af9/ujson_1611259506266/work unicodecsv==0.14.1 urllib3==1.26.8 watchdog @ file:///tmp/build/80754af9/watchdog_1612471130876/work wcwidth @ file:///tmp/build/80754af9/wcwidth_1593447189090/work webencodings==0.5.1 websocket-client==0.59.0 Werkzeug==2.0.3 wheel==0.34.2 widgetsnbextension==3.5.1 wrapt==1.12.1 wurlitzer @ file:///tmp/build/80754af9/wurlitzer_1594751868473/work xlrd @ file:///tmp/build/80754af9/xlrd_1608072521494/work XlsxWriter @ file:///home/ktietz/src/ci_ipy2/xlsxwriter_1612556818988/work xlwt==1.3.0 yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work zict==2.0.0 zipp @ file:///tmp/build/80754af9/zipp_1604001098328/work zope.event==4.5.0 zope.interface @ file:///tmp/build/80754af9/zope.interface_1606940237377/work ``````

Issue description

I start tensorboard via tensorboard --logdir trainings/
Tensorboard starts correctly.
Then I open the UI via https://xxx.notebook.eu-west-1.sagemaker.aws/proxy/6006/
The UI shows up, the runs are listed, but there is no scalar or hparam.
The scalars plots are there, but empty.
The terminal returns:

I1108 12:55:28.033817 140157277591296 _internal.py:224] 127.0.0.1 - - [08/Nov/2022 12:55:28] "POST /experiment/defaultExperimentId/data/plugin/timeseries/timeSeries HTTP/1.1" 500 -
E1108 12:55:28.034482 140157277591296 _internal.py:224] Error on request:
Traceback (most recent call last):
  File "/home/ec2-user/SageMaker/envs/a2s-aws/lib/python3.10/site-packages/werkzeug/serving.py", line 100, in read_chunk_len
    _len = int(line.strip(), 16)
ValueError: invalid literal for int() with base 16: '------WebKitFormBoundaryUrgwwCzpGNRnuCAe'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/ec2-user/SageMaker/envs/a2s-aws/lib/python3.10/site-packages/werkzeug/formparser.py", line 140, in wrapper
    return f(self, stream, *args, **kwargs)
  File "/home/ec2-user/SageMaker/envs/a2s-aws/lib/python3.10/site-packages/werkzeug/formparser.py", line 290, in _parse_multipart
    form, files = parser.parse(stream, boundary, content_length)
  File "/home/ec2-user/SageMaker/envs/a2s-aws/lib/python3.10/site-packages/werkzeug/formparser.py", line 418, in parse
    for data in iterator:
  File "/home/ec2-user/SageMaker/envs/a2s-aws/lib/python3.10/site-packages/werkzeug/wsgi.py", line 691, in _make_chunk_iter
    item = _read(buffer_size)
  File "/home/ec2-user/SageMaker/envs/a2s-aws/lib/python3.10/site-packages/werkzeug/serving.py", line 113, in readinto
    self._len = self.read_chunk_len()
  File "/home/ec2-user/SageMaker/envs/a2s-aws/lib/python3.10/site-packages/werkzeug/serving.py", line 102, in read_chunk_len
    raise OSError("Invalid chunk header") from e
OSError: Invalid chunk header

This is the same error than described here, 2 years ago, on tensorboard 2.4:
https://stackoverflow.com/questions/66220426/tensorboard-not-working-with-after-upgrading-tensorflow-from-2-1-2-to-2-3-0

I can also confirm that tensorboard 2.3 runs and return scalars, in the same context.

bmd3k commented 2 years ago

The request is triggering the logic in werkzeug that parses chunked HTTP requests but the request is presumably not actually chunked encoded.

Which browser are you using?

If you're using Chrome, would it be ok for you could use the "Copy as cURL" option in the network tab of the developer console and paste the contents here? https://developer.chrome.com/blog/replay-a-network-request-in-curl/

ghost commented 2 years ago

Hello @bmd3k, here is the guilty request (sensitive info replaced by xxx):

curl 'https://xxx.notebook.eu-west-1.sagemaker.aws/proxy/6006/experiment/defaultExperimentId/data/plugin/timeseries/timeSeries' \
  -H 'Accept: application/json, text/plain, */*' \
  -H 'Accept-Language: en-GB,en;q=0.9,fr;q=0.8,de;q=0.7' \
  -H 'Connection: keep-alive' \
  -H 'Content-Type: multipart/form-data; boundary=----WebKitFormBoundaryWA6twK652Fzuc5rB' \
  -H 'Cookie: _xsrf=xxx; domain=prod; region=eu-west-1; expiryTime=1668196217000; authToken=xxx; JSESSIONID=xxx; redirectURL="https://console.aws.amazon.com/sagemaker/home?region=eu-west-1&notebookState=xxx%3D%3D#/notebook-instances/openNotebook/xxx"' \
  -H 'Origin: https://xxx.notebook.eu-west-1.sagemaker.aws' \
  -H 'Referer: https://xxx.notebook.eu-west-1.sagemaker.aws/proxy/6006/?darkMode=true' \
  -H 'Sec-Fetch-Dest: empty' \
  -H 'Sec-Fetch-Mode: cors' \
  -H 'Sec-Fetch-Site: same-origin' \
  -H 'User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/106.0.0.0 Safari/537.36' \
  -H 'X-TensorBoard-Feature-Flags: {"enabledColorGroup":true,"enabledColorGroupByRegex":true,"enabledExperimentalPlugins":[],"enabledLinkedTime":false,"enabledCardWidthSetting":true,"enabledScalarDataTable":false,"forceSvg":false,"enableDarkModeOverride":null,"defaultEnableDarkMode":true,"isAutoDarkModeAllowed":true,"inColab":false,"metricsImageSupportEnabled":true,"enableTimeSeriesPromotion":false}' \
  -H 'X-XSRF-Protected: 1' \
  -H 'sec-ch-ua: "Chromium";v="106", "Google Chrome";v="106", "Not;A=Brand";v="99"' \
  -H 'sec-ch-ua-mobile: ?0' \
  -H 'sec-ch-ua-platform: "Windows"' \
  --data-raw $'------WebKitFormBoundaryWA6twK652Fzuc5rB\r\nContent-Disposition: form-data; name="requests"\r\n\r\n[{"plugin":"scalars","tag":"epoch"}]\r\n------WebKitFormBoundaryWA6twK652Fzuc5rB--\r\n' \
  --compressed

And I can confirm that the server struggle with this WebKitForm:

ValueError: invalid literal for int() with base 16: '------WebKitFormBoundaryWA6twK652Fzuc5rB'

EDIT:
I looked at the same package when running locally, and it seems similar. I don't get why it doesn't work on AWS.
I also compared werkzeug version and it's 2.2.2 in both cases, locally and on AWS.

japie1235813 commented 2 years ago

Might or might not relevant: in your diagnose shows Werkzeug==2.0.3 not 2.2.2 I'm trying to reproduce but jupyter is running for me. Here's my env versions:

$ pip freeze --all | grep Werkzeug
Werkzeug==2.2.2

$ pip freeze --all | grep jupyter
jupyter-server==1.23.1
jupyter-server-proxy==3.2.1
jupyter_client==7.4.4
jupyter_core==5.0.0
jupyterlab==3.3.2
jupyterlab-pygments==0.2.2
jupyterlab-server==2.11.2
jupyterlab-widgets==3.0.3

This is my request:

curl 'http://localhost:8888/proxy/6006/' \
  -H 'Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9' \
  -H 'Accept-Language: en-US,en;q=0.9,hi;q=0.8,ja;q=0.7' \
  -H 'Cache-Control: no-cache' \
  -H 'Connection: keep-alive' \
  -H 'Cookie: _xsrf=...; username-localhost-8888="2|1:0|10:1668116972|23:username-localhost-8888|44:..."' \
  -H 'Pragma: no-cache' \
  -H 'Sec-Fetch-Dest: document' \
  -H 'Sec-Fetch-Mode: navigate' \
  -H 'Sec-Fetch-Site: same-origin' \
  -H 'Sec-Fetch-User: ?1' \
  -H 'Upgrade-Insecure-Requests: 1' \
  -H 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36' \
  -H 'sec-ch-ua: "Google Chrome";v="107", "Chromium";v="107", "Not=A?Brand";v="24"' \
  -H 'sec-ch-ua-mobile: ?0' \
  -H 'sec-ch-ua-platform: "macOS"' \
  --compressed

I don't have "data-raw"

ghost commented 1 year ago

@japie1235813 : I did a fresh reinstall of my conda on an AWS instance and I can confirm Werkzeug==2.2.2. The problem is still there. But, like you, I don't have the issue if I run it locally, it seems tied to AWS, somehow.

mkserge commented 1 year ago

Facing the same issue with tensorboard 2.11.0 and Werkzeug 2.2.2 on AWS Sagemaker.

akshaylive commented 1 year ago

Same issue and versions as above. I wonder if this has more to do with SageMaker than TB.

mayankanand111 commented 1 year ago

I am having same OSError: Invalid chunk header, while loading scalers on sagemaker notebook instance. Any fix yet?

tcourat commented 1 year ago

Same issue there.

dimagor commented 1 year ago

Same issue, hoping for traction on this one 🤞

tsdev commented 1 year ago

Same issue here on Tensorboard 2.13.0 and werkzeug 2.3.6 on AWS SageMaker notebook

hadriensablon commented 1 year ago

Same here. TB 2.13.0 and werkzeug 2.3.6

datasith commented 1 year ago

+1 Tensorboard 2.13.0 and werkzeug 2.3.6 on AWS SageMaker notebook

Tootiya commented 1 year ago

+1 I tried different versions of Tensorboard and werkzeug but none worked out.

linzzzzzz commented 1 year ago

+1 Tensorboard 2.14 on AWS SageMaker notebook instance. doesn't work