tensorflow / tensorflow/tensorboard
Tensorflow not fetching new data
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stat:awaiting tensorflower
type:bug
- Dominant language
- TypeScript
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- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
Environment information (required)
Please run diagnose_tensorboard.py (link below) in the same
environment from which you normally run TensorFlow/TensorBoard, and
paste the output here:
Diagnostics
Diagnostics output
--- check: autoidentify
INFO: diagnose_tensorboard.py version d515ab103e2b1cfcea2b096187741a0eeb8822ef
--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=6, micro=8, releaselevel='final', serial=0)
INFO: os.name: nt
INFO: os.uname(): N/A
INFO: sys.getwindowsversion(): sys.getwindowsversion(major=10, minor=0, build=14393, platform=2, service_pack='')
--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: None
--- check: installed_packages
INFO: installed: tensorboard==2.1.0
INFO: installed: tensorflow==2.1.0
INFO: installed: tensorflow-estimator==2.1.0
--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '2.1.0'
--- check: tensorflow_python_version
2020-01-21 18:44:11.139289: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-01-21 18:44:11.143821: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
INFO: tensorflow.__version__: '2.1.0'
INFO: tensorflow.__git_version__: 'v2.1.0-rc2-17-ge5bf8de410'
--- check: tensorboard_binary_path
INFO: which tensorboard: b'C:\\Program Files\\Python36\\Scripts\\tensorboard.exe\r\n'
--- check: addrinfos
socket.has_ipv6 = True
socket.AF_UNSPEC = <AddressFamily.AF_UNSPEC: 0>
socket.SOCK_STREAM = <SocketKind.SOCK_STREAM: 1>
socket.AI_ADDRCONFIG = <AddressInfo.AI_ADDRCONFIG: 1024>
socket.AI_PASSIVE = <AddressInfo.AI_PASSIVE: 1>
Loopback flags: <AddressInfo.AI_ADDRCONFIG: 1024>
Loopback infos: [(<AddressFamily.AF_INET6: 23>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('::1', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('127.0.0.1', 0))]
Wildcard flags: <AddressInfo.AI_PASSIVE: 1>
Wildcard infos: [(<AddressFamily.AF_INET6: 23>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('::', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('0.0.0.0', 0))]
--- check: readable_fqdn
INFO: socket.getfqdn(): 'DRG-APP01.home'
--- check: stat_tensorboardinfo
INFO: directory: C:\Users\drgadmin\AppData\Local\Temp\1\.tensorboard-info
INFO: .tensorboard-info directory does not exist
--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['C:\\Program Files\\Python36\\lib\\site-packages']; bad_roots (0): []
--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.9.0
astor==0.8.1
cachetools==4.0.0
certifi==2019.11.28
chardet==3.0.4
gast==0.2.2
google-auth==1.10.0
google-auth-oauthlib==0.4.1
google-pasta==0.1.8
grpcio==1.26.0
h5py==2.10.0
idna==2.8
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
Markdown==3.1.1
numpy==1.18.1
oauthlib==3.1.0
opt-einsum==3.1.0
pip==19.3.1
protobuf==3.11.2
pyasn1==0.4.8
pyasn1-modules==0.2.8
requests==2.22.0
requests-oauthlib==1.3.0
rsa==4.0
scipy==1.4.1
setuptools==45.0.0
six==1.13.0
tensorboard==2.1.0
tensorflow==2.1.0
tensorflow-estimator==2.1.0
termcolor==1.1.0
urllib3==1.25.7
Werkzeug==0.16.0
wheel==0.33.6
wrapt==1.11.2
Next steps
No action items identified. Please copy ALL of the above output,
including the lines containing only backticks, into your GitHub issue
or comment. Be sure to redact any sensitive information.
For browser-related issues, please additionally specify:
- Version 79.0.3945.130 (Offizieller Build) (64-Bit)
- Screenshot, if it’s a visual issue:
Issue description
Expected behavior:
Tensorflow updates ever x seconds, the graph changes, new Models are pulled into the list.
Actual Behavior:
When refreshing, new models are pulled correctly into tensorboard, as shown in the screenshot, they load the graphs up to {refreshtime} but never update them.
When refreshing the Page, graphs do not get updated.
Stopping the tensorboard server and startingit again will pull all prices but they will not update afterwards again.
Issue Code:
modelname = f"{layer}-layer_{layerdensity}-nodes_lRelu-adam_{learningrate}-lr_{records_per_epoch}-epochsize_{appendix}_bn"
model = keras.Sequential()
model.add(Dense(layerdensity, activation=tf.nn.leaky_relu, input_dim=inputnodes))
model.add(BatchNormalization())
for i in range(layer-1):
model.add(Dense(layerdensity, activation=tf.nn.leaky_relu))
model.add(BatchNormalization())
model.add(Dense(2, name = "Output"))
# Compile
optimizer = tf.keras.optimizers.Adam(lr=learningrate)
model.compile(
optimizer=optimizer,
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
model.summary()
tensorboard = TensorBoard(log_dir="Z:\\Projects\\Notebooks\\BitSurfer\\log\\" + modelname,
histogram_freq = 100, write_graph = False)
#cp_callback = tf.keras.callbacks.ModelCheckpoint("\\\\drg-fs01\\BigData\\Projects\\Notebooks\\PokerBot\\checkpoints\\" + modelname, verbose=0)
################################
# train model #
################################
model.fit(trainSet,
epochs = epochs,
steps_per_epoch = trainSteps,
shuffle = True,
validation_data = testSet,
validation_steps = testSteps,
validation_freq = int(epochs/maxTestEpochs),
verbose = verbose,
callbacks = [tensorboard])#,cp_callback])
model.save(savePath+'saved_models/' + modelname + '.h5')
print(f"saving model: {modelname}")
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.