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: https://www.tensorflow.org/install/

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 users start with  TensorFlow only supports 64-bit Python 3.5.x or Python 3.6.x on Windows; When you download the Python 3.5.x version, it comes with the pip3 package manager (which is the program that you are going to need in order for you use to install TensorFlow on Windows) How to Install TensorFlow on Windows: 7 Steps . Downloading your Python

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.

Install TensorFlow with pip, TensorFlow Installation Types. When installing TensorFlow, you can choose either the CPU-only or GPU-supported version. I'd recommend to install the CPU​  3. Install the TensorFlow pip package. Choose one of the following TensorFlow packages to install from PyPI: tensorflow —Latest stable release with CPU and GPU support (Ubuntu and Windows). tf-nightly —Preview build (unstable). Ubuntu and Windows include GPU support. tensorflow==1.15 —The final version of TensorFlow 1.x.

If your Tensorflow install is located here:

/usr/local/lib/python2.7/dist-packages/tensorflow

then the python command to launch Tensorboard is:

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

The installation from pip allows you to use:

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

Installation and usage notes, AI and Deep-Learning with TensorFlow - https://www.edureka.co/ai-deep-​learning-with Duration: 9:06 Posted: Apr 22, 2019 @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 tensorboard.py file under tensorflow/tensorboard should work as well. – dandelion Nov 11 '15 at 0:23

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

Installing TensorFlow on Windows, TensorFlow with CPU support only: If your Machine does not run on NVIDIA GPU, you can only install this version; TensorFlow with GPU support:  In an earlier article I showed how to test your Linux system to see if you have a GPU that supports TensorFlow, with the promise that I’d next do Windows and MacOS. So, in this article, I will

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/main.py'

Open another terminal or run exec bash.

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

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

TensorFlow Installation, Install TensorFlow¶. Download and install Anaconda or the smaller Miniconda. On Windows open the Start menu and open an Anaconda Command Prompt. On​  To pip install a TensorFlow package with GPU support, choose a stable or development package: pip install tensorflow # stable pip install tf-nightly # preview Older versions of TensorFlow. For releases 1.15 and older, CPU and GPU packages are separate: pip install tensorflow==1.15 # CPU pip install tensorflow-gpu==1.15 # GPU Hardware requirements

How to Download and Install TensorFLow Windows and Mac, This Part 2 covers the installation of CUDA, cuDNN and Tensorflow on Windows 10. This article below assumes that you have a CUDA-  TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy. If you need more flexibility, eager execution allows for immediate iteration and intuitive debugging.

TensorFlow, tensorflow 2.1.0. pip install tensorflow. Copy PIP instructions. Latest version. Released: Jan 8, 2020. TensorFlow is an open source machine learning framework  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.

Installing Tensorflow with CUDA, cuDNN and GPU support on , To install spark-tensorflow-distributor, run: pip install spark-tensorflow-distributor The installation does not install PySpark because for most users, PySpark is already installed. If you do not have PySpark installed, you can install it directly: pip install pyspark> = 3.0.0 Running Tests

Comments
  • 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/tensorboard.py --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 tensorboard.py 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/tensorboard.py (also, pip show tensorflow can be used to get the base directory for a particular machine)
  • 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?