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Fixing Install Script Typo & adding Conda Install Support #63

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@mwidjaja1 mwidjaja1 commented Dec 11, 2020

Update

As of 02/02/2021, Apple has updated this copy of TensorFlow. I have created a Conda Environment File to make it easier to install TensorFlow to MiniForge (not Anaconda -- Anaconda is not ARM compatible). Instructions on how to do this are tentatively posted on: #153


Original PR

Hello there,

I'd like to propose this PR to address two issues:

  1. There is a typo right now where $virtual_env has two forms of capitalization in the installation script that's causing pip to crash during installation
  2. By removing the check for finding bin/activate for Python and being more clever with when we need to activate it (i.e. only when we're using a virtual env), we can make the installation script work for Conda/Miniforge installs. I also added documentation to Readme.md about how one can install Tensorflow on Conda if they'd like.

@mwidjaja1
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mwidjaja1 commented Dec 11, 2020

Update

As of 02/02/2021, Apple has updated this copy of TensorFlow. I have created a Conda Environment File to make it easier to install TensorFlow to MiniForge (not Anaconda -- Anaconda is not ARM compatible). Instructions on how to do this are tentatively posted on: #153


Original Post

To install Tensorflow in a Conda-supported Python, DO NOT USE ANACONDA. Anaconda is not ARM supported. Use Miniforge which is noted in step 1.

  1. Install the Apple Silicon version of Miniforge from https://github.com/conda-forge/miniforge/#download
  2. [Optional] Create your own environment for TF with Python version 3.8
  3. Modify the install_venv.sh script in place where it is -- do not move it or rename it. Modify it with the contents of https://github.com/apple/tensorflow_macos/blob/793e0a7675ad66385f76248d8794eea966967974/scripts/install_venv.sh.
  4. Run the updated install_venv.sh script by running bash REPLACE_WITH_PATH_TO_SCRIPT --prompt. It will prompt you for a path to your virtual environment which you made using Miniforge. In my example below, the name of my Conda env is tensorflow and Miniforge is installed in my home directory.
bash scripts/install_venv.sh --prompt
Path to new or existing virtual environment [default: /Users/Matthew/tensorflow_macos_venv/]: /Users/Matthew/miniforge3/envs/tensorflow

###########################################################################

scripts/install_venv.sh will perform the following operations:
-> Install tensorflow_macos 0.1a1 into existing virtual environment /Users/Matthew/miniforge3/envs/tensorflow.
-> Install bundled binary wheels for numpy-1.18.5, grpcio-1.33.2, h5py-2.10.0, tensorflow_addons-0.11.2+mlcompute into /Users/Matthew/miniforge3/envs/tensorflow.


Confirm [y/N]? y

>> Installing and upgrading base packages.
Collecting pip==20.2.4
  Using cached pip-20.2.4-py2.py3-none-any.whl (1.5 MB)
Collecting wheel
  Using cached wheel-0.36.1-py2.py3-none-any.whl (34 kB)
Collecting setuptools
  Using cached setuptools-51.0.0-py3-none-any.whl (785 kB)
Collecting cached-property
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Collecting six
  Using cached six-1.15.0-py2.py3-none-any.whl (10 kB)
Installing collected packages: pip, wheel, setuptools, cached-property, six
  Attempting uninstall: pip
    Found existing installation: pip 20.2.4
    Uninstalling pip-20.2.4:
      Successfully uninstalled pip-20.2.4
  Attempting uninstall: wheel
    Found existing installation: wheel 0.36.1
    Uninstalling wheel-0.36.1:
      Successfully uninstalled wheel-0.36.1
  Attempting uninstall: setuptools
    Found existing installation: setuptools 51.0.0
    Uninstalling setuptools-51.0.0:
      Successfully uninstalled setuptools-51.0.0
  Attempting uninstall: cached-property
    Found existing installation: cached-property 1.5.2
    Uninstalling cached-property-1.5.2:
      Successfully uninstalled cached-property-1.5.2
  Attempting uninstall: six
    Found existing installation: six 1.15.0
    Uninstalling six-1.15.0:
      Successfully uninstalled six-1.15.0
Successfully installed cached-property-1.5.2 pip-20.2.4 setuptools-51.0.0 six-1.15.0 wheel-0.36.1
WARNING: You are using pip version 20.2.4; however, version 20.3.1 is available.
You should consider upgrading via the '/Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade pip' command.
>> Installing bundled binary dependencies.
>> Running: /Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade -t /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages/ --no-dependencies --force /Users/Matthew/tensorflow_macos/scripts/arm64/numpy-1.18.5-cp38-cp38-macosx_11_0_arm64.whl
Processing ./scripts/arm64/numpy-1.18.5-cp38-cp38-macosx_11_0_arm64.whl
Installing collected packages: numpy
Successfully installed numpy-1.18.5
WARNING: You are using pip version 20.2.4; however, version 20.3.1 is available.
You should consider upgrading via the '/Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade pip' command.
>> Running: /Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade -t /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages/ --no-dependencies --force /Users/Matthew/tensorflow_macos/scripts/arm64/grpcio-1.33.2-cp38-cp38-macosx_11_0_arm64.whl
Processing ./scripts/arm64/grpcio-1.33.2-cp38-cp38-macosx_11_0_arm64.whl
Installing collected packages: grpcio
Successfully installed grpcio-1.33.2
WARNING: You are using pip version 20.2.4; however, version 20.3.1 is available.
You should consider upgrading via the '/Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade pip' command.
>> Running: /Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade -t /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages/ --no-dependencies --force /Users/Matthew/tensorflow_macos/scripts/arm64/h5py-2.10.0-cp38-cp38-macosx_11_0_arm64.whl
Processing ./scripts/arm64/h5py-2.10.0-cp38-cp38-macosx_11_0_arm64.whl
Installing collected packages: h5py
Successfully installed h5py-2.10.0
WARNING: You are using pip version 20.2.4; however, version 20.3.1 is available.
You should consider upgrading via the '/Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade pip' command.
>> Running: /Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade -t /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages/ --no-dependencies --force /Users/Matthew/tensorflow_macos/scripts/arm64/tensorflow_addons-0.11.2+mlcompute-cp38-cp38-macosx_11_0_arm64.whl
Processing ./scripts/arm64/tensorflow_addons-0.11.2+mlcompute-cp38-cp38-macosx_11_0_arm64.whl
Installing collected packages: tensorflow-addons
Successfully installed tensorflow-addons-0.11.2
WARNING: You are using pip version 20.2.4; however, version 20.3.1 is available.
You should consider upgrading via the '/Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade pip' command.
>> Installing dependencies.
Collecting absl-py
  Using cached absl_py-0.11.0-py3-none-any.whl (127 kB)
Collecting astunparse
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Collecting tensorflow_estimator
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Processing /Users/Matthew/Library/Caches/pip/wheels/a0/16/9c/5473df82468f958445479c59e784896fa24f4a5fc024b0f501/termcolor-1.1.0-py3-none-any.whl
Collecting typing_extensions
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Processing /Users/Matthew/Library/Caches/pip/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73/wrapt-1.12.1-py3-none-any.whl
Requirement already satisfied: wheel in /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages (0.36.1)
Collecting tensorboard
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Requirement already satisfied: six in /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages (from absl-py) (1.15.0)
Requirement already satisfied: numpy>=1.9.1 in /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages (from keras_preprocessing) (1.19.4)
Collecting werkzeug>=0.11.15
  Using cached Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)
Requirement already satisfied: grpcio>=1.24.3 in /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages (from tensorboard) (1.33.2)
Requirement already satisfied: setuptools>=41.0.0 in /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages (from tensorboard) (51.0.0)
Collecting google-auth-oauthlib<0.5,>=0.4.1
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Requirement already satisfied: certifi>=2017.4.17 in /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard) (2020.12.5)
Collecting urllib3<1.27,>=1.21.1
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Installing collected packages: absl-py, astunparse, flatbuffers, gast, google-pasta, keras-preprocessing, opt-einsum, protobuf, tensorflow-estimator, termcolor, typing-extensions, wrapt, werkzeug, pyasn1, rsa, pyasn1-modules, cachetools, google-auth, oauthlib, idna, chardet, urllib3, requests, requests-oauthlib, google-auth-oauthlib, markdown, tensorboard-plugin-wit, tensorboard, typeguard
Successfully installed absl-py-0.11.0 astunparse-1.6.3 cachetools-4.2.0 chardet-3.0.4 flatbuffers-1.12 gast-0.4.0 google-auth-1.23.0 google-auth-oauthlib-0.4.2 google-pasta-0.2.0 idna-2.10 keras-preprocessing-1.1.2 markdown-3.3.3 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.14.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.0 requests-oauthlib-1.3.0 rsa-4.6 tensorboard-2.4.0 tensorboard-plugin-wit-1.7.0 tensorflow-estimator-2.3.0 termcolor-1.1.0 typeguard-2.10.0 typing-extensions-3.7.4.3 urllib3-1.26.2 werkzeug-1.0.1 wrapt-1.12.1
WARNING: You are using pip version 20.2.4; however, version 20.3.1 is available.
You should consider upgrading via the '/Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade pip' command.
Collecting ipython
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Collecting jedi>=0.10
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Collecting traitlets>=4.2
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Collecting pygments
  Downloading Pygments-2.7.3-py3-none-any.whl (950 kB)
     |████████████████████████████████| 950 kB 3.3 MB/s 
Collecting pickleshare
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Collecting pexpect>4.3; sys_platform != "win32"
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Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0
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Collecting appnope; sys_platform == "darwin"
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Collecting decorator
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Requirement already satisfied: setuptools>=18.5 in /Users/Matthew/miniforge3/envs/tensorflow/lib/python3.8/site-packages (from ipython) (51.0.0)
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Installing collected packages: parso, jedi, ipython-genutils, traitlets, pygments, pickleshare, ptyprocess, pexpect, wcwidth, prompt-toolkit, backcall, appnope, decorator, ipython
Successfully installed appnope-0.1.2 backcall-0.2.0 decorator-4.4.2 ipython-7.19.0 ipython-genutils-0.2.0 jedi-0.17.2 parso-0.7.1 pexpect-4.8.0 pickleshare-0.7.5 prompt-toolkit-3.0.8 ptyprocess-0.6.0 pygments-2.7.3 traitlets-5.0.5 wcwidth-0.2.5
WARNING: You are using pip version 20.2.4; however, version 20.3.1 is available.
You should consider upgrading via the '/Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade pip' command.
Processing ./scripts/arm64/tensorflow_macos-0.1a1-cp38-cp38-macosx_11_0_arm64.whl
Installing collected packages: tensorflow-macos
Successfully installed tensorflow-macos-0.1a1
WARNING: You are using pip version 20.2.4; however, version 20.3.1 is available.
You should consider upgrading via the '/Users/Matthew/miniforge3/envs/tensorflow/bin/python3 -m pip install --upgrade pip' command.
Collecting pip
  Downloading pip-20.3.1-py2.py3-none-any.whl (1.5 MB)
     |████████████████████████████████| 1.5 MB 3.3 MB/s 
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 20.2.4
    Uninstalling pip-20.2.4:
      Successfully uninstalled pip-20.2.4
Successfully installed pip-20.3.1
###########################################################################

TensorFlow and TensorFlow Addons with ML Compute for macOS 11.0 successfully installed.

To begin, activate the virtual environment:

   . "/Users/Matthew/miniforge3/envs/tensorflow/bin/activate" 

@mwidjaja1
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Hey is there anything I can do to help out with this? Would be happy to help if there's something you'd like me to clean up or improve. Thanks!

@hoytak
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hoytak commented Dec 21, 2020

Hello @mwidjaja1, thank you for the fantastic work here! We're figuring out how to include this in some way in our next release. As you can imagine, there are non-engineering matters to resolve around taking contributions, but we're figuring it out.

@mwidjaja1
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Gotcha! I'd be willing to sign anything away if needed if that's legally required 🙂. I don't know if it helps either but I am an Apple Public Beta Tester so I have those agreements 'signed off on' technically speaking already.

@shixnya
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shixnya commented Dec 23, 2020

Hi @mwidjaja1,

Thank you for the fantastic work!
Just a very minor note. The last message by the script seems just a little confusing when you use conda because 'activate' script does not exist in the specified folder. Perhaps a better way is separate those cases using a variable (e.g. $is_conda) and show a different message. If you also use this variable consistently when two cases are separated, this approach may also make the entire script a little more transparent.

I'm talking about this message.
To begin, activate the virtual environment:
. "/Users/Matthew/miniforge3/envs/tensorflow/bin/activate"

@heathentw
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@shixnya hi, I suffer from not having an 'activate' in the envs/tf/bin, which cause me failed to the installation, do you know what a 'activate' if for or how can I get it right? thanks.

@shixnya
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shixnya commented Jan 23, 2021

Hi @heathentw

You are right. The issue that I raised is that 'activate' script will not be generated in Conda environment because it's an option of the 'conda' command.

You can run this instead of activate script.
% conda activate envname
(envname should be a valid name of an environment. In your case, I assume it is tf.)

@mwidjaja1
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Thank you @shixnya for that update. @hoytak, could you make sure this recommendation is integrated into the final script? Thanks!

@pietmlr
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pietmlr commented Jan 24, 2021

@mwidjaja1 I tried installing using your steps shown above, but unfortunately I get an error when running the installation script:
ERROR: Package resource directory /Users/pietmuller/Downloads/tensorflow_macos-master/scripts/arm64 does not exist. Please ensure that this script is located inside the unpacked archive.

Im sure it's a dumb mistake of mine, but yea...

@mwidjaja1
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@redmlr You should not be renaming any directories or moving any files around, which your terminal output makes it sound like you did.

Both your script and a directory named arm64 should be within the directory named tensorflow_macos. I don't know how the -master suffix and scripts folder came into play but it should not have.

3. Download the archive file from the [releases](https://github.com/apple/tensorflow_macos/releases)
4. Run `scripts/install_venv.sh --prompt` and at the prompt, provide the path to your environment's directory. For example: `~/miniforge3/envs/tensorflow` if your env name is `tensorflow` and you installed Miniforge ot your home directory.

#### Notes/Users/Matthew/miniforge3/envs/tensorflow

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Suggested change
#### Notes/Users/Matthew/miniforge3/envs/tensorflow
#### Notes

1. Download a Python 3.8 for Apple Silicon ARM from https://github.com/conda-forge/miniforge/#download and install it.
2. [Optional] Create a Python 3.8 Conda Environment for TensorFlow
3. Download the archive file from the [releases](https://github.com/apple/tensorflow_macos/releases)
4. Run `scripts/install_venv.sh --prompt` and at the prompt, provide the path to your environment's directory. For example: `~/miniforge3/envs/tensorflow` if your env name is `tensorflow` and you installed Miniforge ot your home directory.

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Suggested change
4. Run `scripts/install_venv.sh --prompt` and at the prompt, provide the path to your environment's directory. For example: `~/miniforge3/envs/tensorflow` if your env name is `tensorflow` and you installed Miniforge ot your home directory.
4. Run `scripts/install_venv.sh --prompt` and at the prompt, provide the path to your environment's directory. For example: `~/miniforge3/envs/tensorflow` if your env name is `tensorflow` and you installed Miniforge in your home directory.

@rajivshah3
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Both your script and a directory named arm64 should be within the directory named tensorflow_macos. I don't know how the -master suffix and scripts folder came into play but it should not have.

I think the -master part comes from downloading a ZIP of the repo (green "Code" button -> "Download ZIP") instead of cloning it with git

@pietmlr
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pietmlr commented Jan 25, 2021

@redmlr You should not be renaming any directories or moving any files around, which your terminal output makes it sound like you did.

Both your script and a directory named arm64 should be within the directory named tensorflow_macos. I don't know how the -master suffix and scripts folder came into play but it should not have.

Yes, I downloaded the wrong one.. Even though I now downloaded the release package, the installation script outputs that my miniforge environment is not an virtual environment..
ERROR: /Users/pietmuller/miniforge3/envs/tensorflow_m1 does not seem to be a virtual environment. Please specify a new directory or an existing Python 3.8 virtual environment.
I'm very sorry that I'm struggling with this installation so long.. thanks for helping

@mwidjaja1
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@redmlr You have to modify the script with my proposed changes in place, without moving the script or anything. I don't think you fully modified it.

@pietmlr
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pietmlr commented Jan 25, 2021

Hello there,

I'd like to propose this PR to address two issues:

  1. There is a typo right now where $virtual_env has two forms of capitalization in the installation script that's causing pip to crash during installation
  2. By removing the check for finding bin/activate for Python and being more clever with when we need to activate it (i.e. only when we're using a virtual env), we can make the installation script work for Conda/Miniforge installs. I also added documentation to Readme.md about how one can install Tensorflow on Conda if they'd like.

@mwidjaja1 do you mean these?

@pietmlr
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pietmlr commented Jan 25, 2021

Hello there,

I'd like to propose this PR to address two issues:

  1. There is a typo right now where $virtual_env has two forms of capitalization in the installation script that's causing pip to crash during installation
  2. By removing the check for finding bin/activate for Python and being more clever with when we need to activate it (i.e. only when we're using a virtual env), we can make the installation script work for Conda/Miniforge installs. I also added documentation to Readme.md about how one can install Tensorflow on Conda if they'd like.

@redmlr You have to modify the script with my proposed changes in place, without moving the script or anything. I don't think you fully modified it.

Thank you for your help @mwidjaja1, I appreciate it!
I already applied your fixed a few hours ago and it works definitely, but not in PyCharm, it seems that it doesn't accept this environment..

@mwidjaja1
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@redmlr I don't use PyCharm anymore but I can tell you there IS a way to connect a Conda/Miniforge env to PyCharm and I was able to do it last year. That should be a Googling task outside the scope of this particular MR though -- I can't help you too much more in that area. Glad you got it working at least outside of PyCharm for now!

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6 participants