But this is where I erred: coming from the POSIX world and not being Reusing TensorBoard on port 6006 (pid 750), started 0:00:12 ago. By clicking Sign up for GitHub, you agree to our terms of service and How to upgrade Git on Windows to the latest version. It's very very confusing. Well occasionally send you account related emails. Which version? It may still be running as pid 24472.' and below code in cmd window to launch TB in Chrome: ValueError: incompatible version: {'cache_key': 'eyJhcmd1bWVudHMiOlsiLS1sb2dkaXI9bG9ncy9ocGFyYW1fdHVuaW5nIl0sImNvbmZpZ3VyZV9rd2FyZ3MiOnt9LCJ3b3JraW5nX2RpcmVjdG9yeSI6IkM6XFxweXRob25fY29kZVxcdGVuc29yYm9hcmRfbm90ZWJvb2tzIn0=', 'db': '', 'logdir': 'logs/hparam_tuning', 'path_prefix': '', 'pid': 6224, 'port': 6006, 'start_time': 1553256806, 'version': '1.13.1'} Hparams tab not showing up in Tensorboard, "ERROR: Timed out waiting for TensorBoard to start." Turn shields off and it should work. A single rectangle represents a trace event. New TensorBoard servers are created with different pid's. the same virtualenv, then you should be good to go. Unfortunately, running this tutorial on my Macbook Pro in Google Chrome only gives me the message "403. . background tasks or antivirus software running, etc. It had to do with third-party cookies that are disabled in my Google Chrome settings. or comment. However! Confession is good for the soul - and it it made me smile: I think it's the first time I've seen an "Ah, yes. "Reusing TensorBoard on port 6006 (pid 228), started 0:00:07 ago. , I found the TensorBoards on the two output cells to work as expected on Chrome 79. (conflicting versions, manual changes to the internal structures, ). Also, pass --bind_all to %tensorboard to expose the port outside the container. (Thanks, @stephanwlee!). In addition to clicking, you can drag the mouse to select a group of trace events. Cifar2 10_Introduction to Artificial Neural Networks with Keras_HuberLoss_astype_dtype_DNN_MLP_G.gv.pdf_mnist installed at the system level: python -c "import tensorflow" should your TensorBoard installation: It sounds like this conda environment is in pretty bad shape You signed in with another tab or window. TensorFlow Lite for mobile and edge devices, TensorFlow Extended for end-to-end ML components, Pre-trained models and datasets built by Google and the community, Ecosystem of tools to help you use TensorFlow, Libraries and extensions built on TensorFlow, Differentiate yourself by demonstrating your ML proficiency, Educational resources to learn the fundamentals of ML with TensorFlow, Resources and tools to integrate Responsible AI practices into your ML workflow, Stay up to date with all things TensorFlow, Discussion platform for the TensorFlow community, User groups, interest groups and mailing lists, Guide for contributing to code and documentation. Tensorboard Not Running Properly on port 6006 #3469 - GitHub tensoboard jupyter notebook train/loss, tensorboard6006 process , tensorboard bugtensorboard .tensorboard-info .tensorboard- info tensorboard , .tensorboard-info python temp file python .tensorboard-info, 10_Introduction to Artificial Neural_4_Regression MLP_Sequential_Subclassing_saveMode_Callback_board, It is thus vital to quantify the performance of your machine learning application to ensure that you are running the most optimized version of your model. There were very little updates to the bug besides references to the public policy of Colab's. Figured it out. Connect and share knowledge within a single location that is structured and easy to search. Could you please let us know if that works? ), I have noticed that the tensorboard process is not launch by %tensorboard command into jupyter notebook Reusing TensorBoard on port 6006 (pid 17596), started 1 day, 23:56:21 ago. This will give you a list of all the events in that area along with an event summary. This can be helpful for sharing results, integrating TensorBoard into existing workflows, and using TensorBoard without installing anything locally. File "C:\anaconda\envs\tf2course\lib\site-packages\tensorboard\manager.py", line 317, in get_all Time moves from left to right. Closing this issue as it is in "awaiting response" status for more than 3 days. Linux,, Linux,,. But I'm still having issues starting Tensorboard. working now. rev2023.3.3.43278. this problem should not be unique to macOS. to your account. Graph and Loss visualization, All reactions. then suddenly it works after many tries, and i don't know why, Reusing TensorBoard on port 6006 (pid 11232), started 0:06:12 ago. There is a directory called .tensorboard-info in your temp directory -deleted the whole "%TMP%.tensorboard-info" directly. In Colab, when you open up Chrome DevTools (Menu > More Tools > Developer Tools), do you see any streak of errors? Did you try mentioning the same port in the Jupyter notebook. Please describe the bug as clearly as possible. One obvious check at TB start: claimed PID exists with TB executable cmd path. The track is an event timeline for events executed on a thread or a GPU stream. Why do many companies reject expired SSL certificates as bugs in bug bounties? How is Jesus " " (Luke 1:32 NAS28) different from a prophet (, Luke 1:76 NAS28)? How to run tensorboard automatically when training my model? When TensorBoard launches (in any manner, including When a TensorBoard instance shuts down cleanly, it After re-running this command, I still get the 403 error together with the message Let me know if this is helpful or if it fails to address your question. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. This execution model leads to the creation of a new TensorBoard server for every interaction and new connection to the Streamlit app. I'd be grateful if you could make that explicit in any answers / suggestions. If I have installed Tensorflow from a Jupyter notebook then all elements should be available within that 'virtualenv' Tensorboard is bundled with Tensorflow but need to be explicitly loaded from a notebook Port 8888 is reserved on localhost to run Jupyter Tensorboard wants to use port 6006 Error when trying to start Tensorboard in Colab #3186 - GitHub raise ValueError("incompatible version: %r" % (json_value,)) What Is the Difference Between 'Man' And 'Son of Man' in Num 23:19? (After checking, you can press the stop button in Jupyter to kill the Thus, run the container with the following command: where the -p 6006 is the default port of TensorBoard. I ran the notebooks get_started.ipynb and hyperparameter_tuning_with_hparams. shut down cleanly we should always have an accurate record of which Looking at the Step-time Graph on the right, you can see that the model is highly input bound (i.e., it spends a lot of time in the data input piepline). (Use '!kill 11232' to kill it.) So, the answer to your question is, remove the .tensorboard-info The tensorboard extension is already loaded. info = _info_from_string(contents) The image below is a snapshot of the performance profile. To have concurrent instances, it is necessary to allocate more ports. Use the TensorFlow Profiler to profile the execution of your TensorFlow code. W0326 09:10:24.666816 1004 manager.py:322] invalid info file: 'C:\Temp\.tensorboard-info\pid-6224.info' Asking for help, clarification, or responding to other answers. ValueError: incompatible version: {'cache_key': 'eyJhcmd1bWVudHMiOlsiLS1sb2dkaXIiLCJsb2dzL2hwYXJhbV90dW5pbmciXSwiY29uZmlndXJlX2t3YXJncyI6e30sIndvcmtpbmdfZGlyZWN0b3J5IjoiQzpcXHB5dGhvbl9jb2RlXFx0ZW5zb3Jib2FyZF9ub3RlYm9va3MifQ==', 'db': '', 'logdir': 'logs/hparam_tuning', 'path_prefix': '', 'pid': 6420, 'port': 6006, 'start_time': 1553256443, 'version': '1.13.1'} The idea is that as long as TensorBoard is Is it possible to create a concave light? Java is a registered trademark of Oracle and/or its affiliates. (Use '!kill 228' to kill it.)". TensorBoard can be used directly within notebook experiences such as Colab and Jupyter. Other part is for Linux/Mac OS" : "I don t remember where I found it". TensorBoard - Deep Learning AMI How to handle a hobby that makes income in US. time. What have I been doing wrong, and how do I reset tensorboard completely? I could not get the whitelist as describe in the policy to work on Chrome 79, so I inquired them but there was not much update on the bug. (Use '!kill 750' to kill it.) Thanks for your help. How can I run Tensorboard on a remote server? - Stack Overflow You should see the TensorBoard dashboard appear. Thanks for the report. W0326 09:10:24.666816 1004 manager.py:322] invalid info file: 'C:\Temp\.tensorboard-info\pid-6196.info' Small note for Brave browser users: Similar issue to Google Chrome as the browser will block required functionality by default. from which you normally\nrun TensorBoard. Well occasionally send you account related emails. To understand where the performance bottleneck occurs in the input pipeline, select the Trace Viewer from the Tools dropdown on the left. instance has somehow gotten into a bad state. Save and categorize content based on your preferences. you can ignore it. Also, can you please reset/restart the kernel and execute all cells? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. colab Issue #130 innnky/so-vits-svc GitHub The TensorBoard is now accessible on any web browser by typing the URL that gets printed when TensorBoard command is executed. The performance profile for this model is similar to the image below. I have the same problem BTW, Tensorboard Not Running Properly on port 6006, How Intuit democratizes AI development across teams through reusability. The difference between the phonemes /p/ and /b/ in Japanese, Short story taking place on a toroidal planet or moon involving flying. I think that we can close this issueif something still seems awry, See here for more details on using tf.data to optimize your input pipelines. You signed in with another tab or window. I ran the code again from Jupyter notebook. ncdu: What's going on with this second size column? error: TensorBoard could not bind to port 6006, it was - YouTube core: see https://github.com/tensorflow/tensorboard/issues/2483 for a Well occasionally send you account related emails. to your account. (You can use taskkill privacy statement. This will allocate a port for you to run one TensorBoard instance. Use TensorFlow datasets to import the training data and split it into training and test sets. You signed in with another tab or window. ERROR: CREATE MATERIALIZED VIEW WITH DATA cannot be executed from a function. that the Windows temp directory is not actually automatically deleted, File "C:\anaconda\envs\tf2course\lib\site-packages\tensorboard\manager.py", line 158, in _info_from_string Have a question about this project? Tensorboard: This site cant be reached localhost refused to connect. reusing tensorboard on port 6006 - scarlettmovie2016.com Traceback (most recent call last): File "train.py", line 288, in main() File "train.py", line 42, in main hps = utils.get_hparams() How do I align things in the following tabular environment? TensorBoard at http://localhost:6006/ - Qiita I've tried to guess how to use !kill 17596 but I am not guessing correctly! For details, see the Google Developers Site Policies. Then visualise TensorBoard in a Jupyter notebook cell using the %tensorboard --logdir logs --bind_all command. How can we reproduce the Have a question about this project? This is the expected behavior when TensorBoard takes more than 10 > del /q %TMP%\.tensorboard-info\*, An equivalent Powershell command would look like this:-, > taskkill /im tensorboard.exe /f The Step-time Graph also indicates that the model is no longer highly input bound. View the performance profiles by navigating to the Profile tab. . Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. problem without additional resources (including external data files and File "C:\anaconda\envs\tf2course\lib\site-packages\tensorboard\manager.py", line 317, in get_all environment) in which those commands should be executed or they just get closed off because nobody has responded or redirected to here, the Tensorboard hub. If I Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. How to reset Tensorboard when it tries to reuse a killed Windows PID, https://github.com/tensorflow/tensorboard/issues/2483, How Intuit democratizes AI development across teams through reusability. From the Overview page, you can see that the Average Step time has reduced as has the Input Step time. Responses below. The text was updated successfully, but these errors were encountered: Hi @NielsRogge! could do that I could hack away at residual path etc. "We, who've been connected by blood to Prussia's throne and people since Dppel", Replacing broken pins/legs on a DIP IC package. In this case, let's cache the training dataset and prefetch the data to ensure that there is always data available for the GPU to process. Asking for help, clarification, or responding to other answers. Traceback (most recent call last): I also noticed, although conda list did not show 'tensorboard' anymore, there still was a tensorboard folder in site-packages folder. Visualize experiments with TensorBoard - Azure Machine Learning Swap https://blog.csdn.net/Linli522362242/article/details/106433059 The text was updated successfully, but these errors were encountered: OK, guess work but it seems to be responding again. corresponded to tb-nightlys code. Individual events are the colored, rectangular blocks on the timeline tracks. You could also try resetting your Colab runtimes 10_Introduction to Artificial Neural Networks with Keras_2_, windowspycharm After a few attempts to start TB like this, I notice several tensorboard.exe entries in my taskmanager processes tab. Subscribe to the blog here. I can progress again! I am connecting multiple Tensorboards to a radio button, allowing the user to choose which results to view. Still not sure why it seems to have worked but I'll accept that right I can't find anything on port 6006 when I've run: On my situation, Windows 10 64bits, tensorflow V2.1.1 (install with pip ), tensorboard (v2.1.1 installed maybe with anaconda why ? tensorboard package (not tb-nightly) installed in your environment? invocation was in fact with, UPDATE 2020-01-03 A MWE of eventual success has been uploaded in a comment at Github in response to an issue that includes the PID referencing errors of tensorboard, Heysorry to hear that youre running into issues. , so reuse it instead. TensorBoard - TensorFlow | TensorFlow pspCidTable. Jupyter is effectively a server running under my OS (Windows 10), Processes within Jupyter run under that server/kernel, If I have installed Tensorflow from a Jupyter notebook then all elements should be available within that 'virtualenv', Tensorboard is bundled with Tensorflow but need to be explicitly loaded from a notebook, Port 8888 is reserved on localhost to run Jupyter. (source: https://research.google.com/colaboratory/faq.html#third-party-cookies). this to our attention! -"taskkill /im tensorboard.exe /f" to kill all live pids in command """), When asking for information, please use comments instead of answer. For Docker users: In case you are running a Docker image of Jupyter Notebook server using TensorFlow's nightly, it is necessary to expose not only the notebook's port, but the TensorBoard's port. proprietary Python modules)? If you run !tensorboard --logdir /tmp/whatever from a Jupyter cell, Has 90% of ice around Antarctica disappeared in less than a decade? Read the output and follow the directions.\n'. That's it! airplaneautomobile5000airplaneautomobile1000 E1220 06:55:50.868322 MainThread program.py:267]. I ran the code again from Jupyter notebook. It worked once but then stopped connecting to the localhost. It happens when running I was able to reproduce it, too. (Use '!kill 1166' to kill it.) Hi @SahilDahiyathe implementation has changed since this issue was Are there tables of wastage rates for different fruit and veg? I deleted that. Already on GitHub? That's an error. Some dashboards are not available yet in Colab (such as the profile plugin). Question: How in the name of $deity do I get tensorboard to restart from scratch and forget what it thinks it knows about processes, ports etc.? In this tutorial, you explore the capabilities of the TensorFlow Profiler by capturing the performance profile obtained by training a model to classify images in the MNIST dataset. One way to do this is to modify the kernel_spec to prepend the environments bin directory to PATH, as described here. Restarting work today (Th 1/8/19) I found that the "localhost refuses Use the M key to measure the time duration of the selected events. # Load the TensorBoard notebook extension %load_ext tensorboard How can I get TB working in notebook? tempfile.getttempdir() ?? What effect Tensorboard running under Jupyter has on port allocations, I don't know. The classic method is to use the kill command with the process ID of the process you want to terminate. start, and Ive also considered amortized approaches like letting each (chrome or firefox). the tensorboard binary is on your PATH inside the Jupyter notebook Load TensorBoard using Colab magic and launch it. Find centralized, trusted content and collaborate around the technologies you use most. Not the answer you're looking for? There was no Tensorboard 1.13.1 in that env. Tensorboard again. Find centralized, trusted content and collaborate around the technologies you use most. By clicking Sign up for GitHub, you agree to our terms of service and whilst tensorboard reports in the notebook that it is reusing the old dead PID it is in fact on a completely different new PID. Here is what I do to avoid the issues of making the remote server accept your local external IP: when I ssh into the machine, I use the option -L to transfer the port 6006 of the remote server into the port 16006 of my machine (for instance): ssh -L 16006:127.0.0.1:6006 olivier@my_server_ip ; What it does is that everything on the port 6006 of the server (in 127.0.0.1:6006) will be forwarded . Open the Trace Viewer to examine the trace events with the optimized input pipeline. Implement liveness check for notebook extensions #2483 - GitHub I checked this code only on Windows Serving TensorBoard on localhost; to expose to the network, use a proxy or pass --bind_all TensorBoard 2.2.1 at http://localhost:6006/ (Press CTRL+C to quit) PC user user user C:\Users\user>ssh -L ():localhost:6006 (user)@ (IP) () 4951365535 Then open the browser of your choice and go to : 127.0.0.1:6006 Here is your TensorBoard ! where the -p 6006 is the default port of TensorBoard. How to follow the signal when reading the schematic? Already have an account? Opening TB via console worked fine. A screenshot can be found here: https://photos.app.goo.gl/9AgJRRvMh1JS5rtBA. In a nutshell I want to clear out the system memory and just run Tensorboard again, but it won't work! Download the FashionMNIST dataset and scale it: Train the model using Keras and the TensorBoard callback: Start TensorBoard within the notebook using magics: You can now view dashboards such as Time Series, Graphs, Distributions, and others. Ill update the messaging on Windows accordinglythanks for bringing then shows tensorboard in the notebook and in the separate chrome tab. For details, see the Google Developers Site Policies. cifar2airplaneautomobile (1) Not being able to launch TensorBoard from a Jupyter notebook, using %tensorboard --logdir={dir}. ''' You signed in with another tab or window. for different Conda/virtualenv environments, then you must ensure that Re-launch TensorBoard and open the Profile tab to observe the performance profile for the updated input pipeline. So well need to make a few structural changes to the notebook <IPython.core.display.Javascript object> From the Overview page, you can see that the Average Step time has reduced as has the Input Step time. Server Information: Use the TensorFlow Profiler to profile and debug model training performance. tell, you cant gracefully shut down any process unless its part of If it really takes a total of 90 seconds for your TensorBoard to :-( More details in and forget what it thinks it knows about processes, ports etc.? My laptop is a Macbook Pro running MacOS High Sierra 10.13. Tensorboard Not Running Properly on port 6006 - Stack Overflow To learn more, see our tips on writing great answers. from Windows cmd (as admin). This has two problems on Windows: The base temporary directory %TM. Any idea how I can get TB to run in Jupyter again? Browsers require enabling third-party cookies to use the service workers within iframes. Its entirely Machine learning algorithms are typically computationally expensive. Each time, after %tensorboard --logdir "logs", I'm getting this under the notebook cell: (but it did work once!). It was accessibly in Chrome at localhost:6006 as stated (specifically http://localhost:6006/#scalars&run=20200102-112749%5Ctrain) (i'll ignore the other problems with tensorboard such as refresh failures on scalars, odd message on graph, etc.) The version of the notebook server is: 5.7.8 I use the below code to launch it in Jupyter: this is what I got: """, And it diables my Chrome TensorBoard, it will displace("""No scalar data was found. to your account. cifar2cifar10airplaneautomobile I use the below code to launch it in Jupyter: and below code in cmd window to launch TB in Chrome: I've done some research and tried the following things: Then I tried to change the port to 6005 by adding "--port 6005" in command window and TB could launch in Chrome under "localhost:6005. but it won't work in Jupyter. Shouldn't this work? Reuse TensorBoard on port {port} (pid {pid}) if opened previously. I noticed that the old loss-curves where kept in the plots and after reading online I took the suggestion to kill the process by: fuser 6006/tcp -k. When I nor run Tensorboard and get: Reusing TensorBoard on port 6006 (pid 48869), started 1:40:42 ago. Why is this sentence from The Great Gatsby grammatical? It may still be running as pid 24472.'. The text was updated successfully, but these errors were encountered: Reopening as PR #7 only reused the same port. (2) When launching TensorBoard using tensorboard --logdir {dir}', it properly opens in a web browser, but no data is found. There are no actions required on your part and we will leave this bug open until we hear back from them. How to Kill a Linux Process by Port Number On Linux or macOS, you just write !kill 17596 in any IPython notebook Sign in I went to chrome://settings/content/cookies and had to unable the "block indirect cookies" setting. The Profile tab opens the Overview page which shows you a high-level summary of your model performance. Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? (Use '!kill 48869' to kill it.) Is a PhD visitor considered as a visiting scholar? more complicated setup, like a global Jupyter installation and kernels If a TensorBoard server is running, connect to it instead of opening a new one. Thank you both for the quick reply. ready, so waiting 30 seconds manually shouldnt make a difference if the Environment: Win 64-bit Home with Anaconda and Tensforflow-GPU 2 installed via conda install - TF is working and writes data to the specified path given via the call back. By clicking Sign up for GitHub, you agree to our terms of service and fail outside of a virtualenv, and so should tensorboard. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Tensorflow2 Tensorboard is not working in jupyter (static ip), Tensorboard: "localhost refused to connect", Tensorboard page completely blank. seconds to start upwhich is fairly rare in my experience (takes about 1 Re-launch TensorBoard and open the Profile tab to observe the performance profile for the updated input pipeline. privacy statement. %tensorboard --logdir logs. Sign in Understanding TensorBoard (weight) histograms, can't open tensorboard 0.0.0.0:6006 or localhost:6006, tensorboard stuck when executed at command prompt, TensorBoard could not bind to port 6006, it was already in use, How to reset Tensorboard when it tries to reuse a killed Windows PID, Permission denied: '/tmp/.tensorboard-info/pid-31318.info' when trying to access the tensorboard file after running tensorboard. You can also use port forwarding. requested environment information. the Pip distribution name. jupytertensorboardtensorboardReusing TensorBoard on port 6007 (pid 1320), started 0:01:15 ago. tb.start() Does a summoned creature play immediately after being summoned by a ready action? There are log files in the /logs directory created under another notebook. In a nutshell I want to clear out the system memory and just run Sign up for a free GitHub account to open an issue and contact its maintainers and the community. ? The ServiceWorker uses that URL. subprocess.). The Trace Viewer shows multiple event groups on the vertical axis. very familiar with Windows application development, I didnt realize Traceback (most recent call last): These are the relevant packages installed in the conda env I use as kernel in jupyter notebook: The text was updated successfully, but these errors were encountered: @wchargin probably can answer better but if I may do the first triage, based on your error message, there are TensorBoard==1.13.1 (contrary to the snippet on conda env) on running with pid 9488, 6196, 6224, and 6420. Each event group has multiple horizontal tracks, filled with trace events. (Highlighted above). Running TensorBoard under Jupyter doesnt affect the on Jupyter. raise ValueError("incompatible version: %r" % (json_value,)) The %tensorboard magic already waits 60 seconds for the process to be I would be grateful for any help, but please assume that I don't know from which terminal / notebook commands need to be run from. Windows does not clean up the temporary directory. That seems kind of unlikely to me, but its not The Trace Viewer shows that the tf_data_iterator_get_next op executes much faster. , , 10_Introduction to Artificial Neural_4_Regression MLP_Sequential_Subclassing_saveMode_Callback_board, Reusing TensorBoard on port 6007 (pid 1320), started 0:01:15 ago. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Kill a process in Windows 10 from the PyCharm command line. and below code in cmd window to launch TB in Chrome: I've done some research and tried the following things: I don't remember maybe it is the problem ? SwapLinux reply on something as "big" as Tensor*. Preprocess the training and test data by normalizing pixel values to be between 0 and 1. I try to run TensorBoard in my SAP Data Intelligence 3.0.3 Jupyter Notebook as per Get started with TensorBoard: %load_ext tensorboard import tensorflow as tf import datetime . W0326 09:10:24.682441 1004 manager.py:322] invalid info file: 'C:\Temp\.tensorboard-info\pid-6420.info' TensorBoard in SAP Data Intelligence | SAP Community TensorBoard in Jupyter "localhost refused to connect" issue on Windows, https://github.com/tensorflow/tensorboard#i-get-a-network-security-popup-every-time-i-run-tensorboard-on-a-mac, Implement liveness check for notebook extensions. plausible that everything that you describe is both accurate and my ValueError: incompatible version: {'cache_key': 'eyJhcmd1bWVudHMiOlsiLS1sb2dkaXIiLCJsb2dzIl0sImNvbmZpZ3VyZV9rd2FyZ3MiOnt9LCJ3b3JraW5nX2RpcmVjdG9yeSI6IkM6XFxweXRob25fY29kZVxcdGVuc29yYm9hcmRfbm90ZWJvb2tzIn0=', 'db': '', 'logdir': 'logs', 'path_prefix': '', 'pid': 9488, 'port': 6006, 'start_time': 1553242957, 'version': '1.13.1'}. The default host is usually 0.0.0.0 which corresponds to your localhost and the default port is 6006. I keep getting either timeouts like, "ERROR: Timed out waiting for TensorBoard to start. This will allocate a port for you to run one TensorBoard instance.

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