How do I install TensorFlow's tensorboard?

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How do I install TensorFlow's tensorboard?

The steps to install Tensorflow are here:

For example, on Linux for CPU-only (no GPU), you would type this command:

pip install -U pip
pip install tensorflow

Since TensorFlow depends on TensorBoard, running the following command should not be necessary:

pip install tensorboard

Install TensorFlow 2, Installing tensorflow_hub. The tensorflow_hub library can be installed alongside TensorFlow 1 and TensorFlow 2. We recommend that new� I downloaded Tensorflow and can load from system cache but it cannot install, pls help Using cached tensorflow-2.3.0-cp38-cp38-win_amd64.whl (342.5 MB) ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes.

Try typing which tensorboard in your terminal. It should exist if you installed with pip as mentioned in the tensorboard README (although the documentation doesn't tell you that you can now launch tensorboard without doing anything else).

You need to give it a log directory. If you are in the directory where you saved your graph, you can launch it from your terminal with something like:

tensorboard --logdir .

or more generally:

tensorboard --logdir /path/to/log/directory

for any log directory.

Then open your favorite web browser and type in localhost:6006 to connect.

That should get you started. As for logging anything useful in your training process, you need to use the TensorFlow Summary API. You can also use the TensorBoard callback in Keras.

Installation and usage notes, Install the TensorFlow PIP package. Verify your Installation. GPU Support (Optional) Install CUDA Toolkit. Install CUDNN. Environment Setup. Update your GPU drivers (Optional) Verify the installation. How to Install TensorFlow with GPU Support on Windows. Install Microsoft Visual C++ Compiler. The CUDA Toolkit uses the Microsoft Visual C++ (MSVC) compiler. The easiest way to install it is through Install CUDA Toolkit. Install cuDNN. Install TensorFlow. Running TensorFlow.

If your Tensorflow install is located here:


then the python command to launch Tensorboard is:

$ python /usr/local/lib/python2.7/dist-packages/tensorflow/tensorboard/ --logdir=/home/user/Documents/.../logdir

The installation from pip allows you to use:

$ tensorboard --logdir=/home/user/Documents/.../logdir

Installation — TensorFlow 2 Object Detection API tutorial , TensorFlow Installation Types. When installing TensorFlow, you can choose either the CPU-only or GPU-supported version. I'd recommend to install the CPU � This page describes how to build the TensorFlow Lite static library for ARM64-based computers. If you just want to start using TensorFlow Lite to execute your models, the fastest option is to install the TensorFlow Lite runtime package as shown in the Python quickstart.

TensorBoard isn't a separate component. TensorBoard comes packaged with TensorFlow.

Installing TensorFlow on Windows, Install TensorFlow � Download and install Anaconda or the smaller Miniconda. � On Windows open the Start menu and open an Anaconda Command Prompt. These packages are available via the Anaconda Repository, and installing them is as easy as running “conda install tensorflow” or “conda install tensorflow-gpu” from a command line interface. One key benefit of installing TensorFlow using conda rather than pip is a result of the conda package management system.

It may be helpful to make an alias for it.

Install and find your tensorboard location:

pip install tensorboard
pip show tensorboard

Add the following alias in .bashrc:

alias tensorboard='python pathShownByPip/tensorboard/'

Open another terminal or run exec bash.

For Windows users, cd into pathShownByPip\tensorboard and run python from there.

For Python 3.x, use pip3 instead of pip, and don't forget to use python3 in the alias.

TensorFlow — Anaconda documentation, TensorFlow - Installation - To install TensorFlow, it is important to have �€ œPython�€ installed in your system. Python version 3.4+ is considered the best to start� It is now finally time to install TensorFlow. Run the windows command prompt as an administrator. To do so, go to the start menu on your Windows machine, search for "cmd", right click it and choose "Run as administrator". After that, you only have to run one simple command to install TensorFlow.

TensorFlow - Installation, AI and Deep-Learning with TensorFlow - learning-with Duration: 9:06 Posted: Apr 22, 2019 This is all you need to do to install tensorflow GPU version on Ubuntu 16.04. For Windows-64bit OS: Install CPU Version of Tensorflow: I have already mentioned the condition in which CPU version of tensorflow is preferable to the GPU version earlier in the post. Let’s get right to how to install tensorflow CPU version for windows OS.

TensorFlow Installation, Updated for 2020! This video walks you through a complete Python 3.7 and TensorFlow install Duration: 13:42 Posted: Jan 3, 2020 Browse & Discover Thousands of Computers & Internet Book Titles, for Less.

2020, Installing TensorFlow 2.0, Keras, & Python 3.7 in Windows 10 , TensorFlow with CPU support only: If your Machine does not run on NVIDIA GPU, you can only install this version; TensorFlow with GPU support:�

  • have you tried it. i wasn't able to run tensorboard. now i have git-cloned the tensorflow repo and i'm trying to build bazel since this seems to be a requirement
  • @Alex_M Yes, that worked for me. TensorBoard was installed as part of Tensorflow, and I was able to run it using python .local/lib/python2.7/site-packages/tensorflow/tensorboard/ --logdir=tmp
  • @Alex_M: Any time you're able to run TensorFlow you should be able to run TensorBoard as well; if you pip installed then you can just use the tensorboard command, but running the file under tensorflow/tensorboard should work as well.
  • totally curious. since i was running linux in a vm on windows, i organized today a ssd and installed linux on bare-metal. i pip installed tensorflow and I'm now not able to run tensorboard any more. "hich tensorboard" returns nothing
  • The path has changed slightly since this answer was written. It is now: tensorflow/tensorboard/backend/ (also, pip show tensorflow can be used to get the base directory for a particular machine)
  • Now, it is separate: pip install tensorboard
  • This answer used to be accurate, but no longer is: the package is now simply called tensorboard, and tensorflow-tensorboard is defunct.
  • The man page for conda install says that the -c flag is ignored, what is up with that?
  • @xjcl If you type man conda install that doesn't open a man page for conda.