Comments (7)
philipperemy
commented on June 23, 2024
@gdupret do you have examples of other repos? I'm not sure about the best way to do that.
from keras-tcn.
psomers3
commented on June 23, 2024
maybe simply just something like:
import platform
tensorflow = 'tensorflow'
if platform.system() == "Darwin" and platform.processor() == 'arm':
tensorflow = 'tensorflow-macos'
install_requires = ['numpy', tensorflow, 'tensorflow_addons']from keras-tcn.
philipperemy
commented on June 23, 2024
@psomers3 fair enough :)
from keras-tcn.
philipperemy
commented on June 23, 2024
@gdupret can you try to run this pip install and let me know if it works on your Mac M1?
pip install keras-tcn-macos==1.0
If it does not work, you might have to run some of those commands beforehand:
brew install [email protected] <----------------------- select the right version
export HDF5_DIR=/opt/homebrew/Cellar/[email protected]/1.8.22_2 <----------------------- here the right path
export GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1
export GRPC_PYTHON_BUILD_SYSTEM_ZLIB=1
The two problematic packages are grpcio and h5py.
For info here is the command output I have on my Mac M1:
>>>>>>>>> philipperemy@Philippes-MacBook-Pro /tmp % virtualenv -p python3.9 venv
created virtual environment CPython3.9.10.final.0-64 in 111ms
creator CPython3Posix(dest=/private/tmp/venv, clear=False, no_vcs_ignore=False, global=False)
seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/Users/premy/Library/Application Support/virtualenv)
added seed packages: pip==22.0.4, setuptools==62.0.0, wheel==0.37.1
activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator
>>>>>>>>> philipperemy@Philippes-MacBook-Pro /tmp % source venv/bin/activate
>>>>>>>>> (venv) philipperemy@Philippes-MacBook-Pro /tmp % pip install keras-tcn-macos==1.0
Collecting keras-tcn-macos==1.0
Downloading keras_tcn_macos-1.0-py3-none-any.whl (13 kB)
Collecting tensorflow-addons
Using cached tensorflow_addons-0.16.1-cp39-cp39-macosx_11_0_arm64.whl (545 kB)
Collecting tensorflow-macos
Using cached tensorflow_macos-2.8.0-cp39-cp39-macosx_11_0_arm64.whl (190.1 MB)
Collecting numpy
Using cached numpy-1.22.3-cp39-cp39-macosx_11_0_arm64.whl (12.8 MB)
Collecting typeguard>=2.7
Using cached typeguard-2.13.3-py3-none-any.whl (17 kB)
Collecting libclang>=9.0.1
Using cached libclang-14.0.1-py2.py3-none-macosx_11_0_arm64.whl (11.8 MB)
Collecting six>=1.12.0
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting absl-py>=0.4.0
Using cached absl_py-1.0.0-py3-none-any.whl (126 kB)
Collecting tensorboard<2.9,>=2.8
Using cached tensorboard-2.8.0-py3-none-any.whl (5.8 MB)
Collecting typing-extensions>=3.6.6
Using cached typing_extensions-4.2.0-py3-none-any.whl (24 kB)
Collecting h5py>=2.9.0
Using cached h5py-3.6.0-cp39-cp39-macosx_12_0_arm64.whl
Collecting grpcio<2.0,>=1.24.3
Using cached grpcio-1.46.0-cp39-cp39-macosx_12_0_arm64.whl
Collecting termcolor>=1.1.0
Using cached termcolor-1.1.0-py3-none-any.whl
Collecting protobuf>=3.9.2
Using cached protobuf-3.20.1-py2.py3-none-any.whl (162 kB)
Collecting flatbuffers>=1.12
Using cached flatbuffers-2.0-py2.py3-none-any.whl (26 kB)
Collecting keras<2.9,>=2.8.0rc0
Using cached keras-2.8.0-py2.py3-none-any.whl (1.4 MB)
Collecting tf-estimator-nightly==2.8.0.dev2021122109
Using cached tf_estimator_nightly-2.8.0.dev2021122109-py2.py3-none-any.whl (462 kB)
Collecting gast>=0.2.1
Using cached gast-0.5.3-py3-none-any.whl (19 kB)
Collecting wrapt>=1.11.0
Using cached wrapt-1.14.1-cp39-cp39-macosx_11_0_arm64.whl (35 kB)
Requirement already satisfied: setuptools in ./venv/lib/python3.9/site-packages (from tensorflow-macos->keras-tcn-macos==1.0) (62.0.0)
Collecting keras-preprocessing>=1.1.1
Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
Collecting opt-einsum>=2.3.2
Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)
Collecting astunparse>=1.6.0
Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting google-pasta>=0.1.1
Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)
Requirement already satisfied: wheel<1.0,>=0.23.0 in ./venv/lib/python3.9/site-packages (from astunparse>=1.6.0->tensorflow-macos->keras-tcn-macos==1.0) (0.37.1)
Collecting google-auth<3,>=1.6.3
Using cached google_auth-2.6.6-py2.py3-none-any.whl (156 kB)
Collecting werkzeug>=0.11.15
Using cached Werkzeug-2.1.2-py3-none-any.whl (224 kB)
Collecting google-auth-oauthlib<0.5,>=0.4.1
Using cached google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)
Collecting tensorboard-data-server<0.7.0,>=0.6.0
Using cached tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB)
Collecting tensorboard-plugin-wit>=1.6.0
Using cached tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB)
Collecting markdown>=2.6.8
Using cached Markdown-3.3.7-py3-none-any.whl (97 kB)
Collecting requests<3,>=2.21.0
Using cached requests-2.27.1-py2.py3-none-any.whl (63 kB)
Collecting rsa<5,>=3.1.4
Using cached rsa-4.8-py3-none-any.whl (39 kB)
Collecting pyasn1-modules>=0.2.1
Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
Collecting cachetools<6.0,>=2.0.0
Using cached cachetools-5.0.0-py3-none-any.whl (9.1 kB)
Collecting requests-oauthlib>=0.7.0
Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
Collecting importlib-metadata>=4.4
Using cached importlib_metadata-4.11.3-py3-none-any.whl (18 kB)
Collecting idna<4,>=2.5
Using cached idna-3.3-py3-none-any.whl (61 kB)
Collecting charset-normalizer~=2.0.0
Using cached charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
Collecting certifi>=2017.4.17
Using cached certifi-2021.10.8-py2.py3-none-any.whl (149 kB)
Collecting urllib3<1.27,>=1.21.1
Using cached urllib3-1.26.9-py2.py3-none-any.whl (138 kB)
Collecting zipp>=0.5
Using cached zipp-3.8.0-py3-none-any.whl (5.4 kB)
Collecting pyasn1<0.5.0,>=0.4.6
Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Collecting oauthlib>=3.0.0
Using cached oauthlib-3.2.0-py3-none-any.whl (151 kB)
Installing collected packages: tf-estimator-nightly, termcolor, tensorboard-plugin-wit, pyasn1, libclang, keras, flatbuffers, certifi, zipp, wrapt, werkzeug, urllib3, typing-extensions, typeguard, tensorboard-data-server, six, rsa, pyasn1-modules, protobuf, oauthlib, numpy, idna, gast, charset-normalizer, cachetools, tensorflow-addons, requests, opt-einsum, keras-preprocessing, importlib-metadata, h5py, grpcio, google-pasta, google-auth, astunparse, absl-py, requests-oauthlib, markdown, google-auth-oauthlib, tensorboard, tensorflow-macos, keras-tcn-macos
Successfully installed absl-py-1.0.0 astunparse-1.6.3 cachetools-5.0.0 certifi-2021.10.8 charset-normalizer-2.0.12 flatbuffers-2.0 gast-0.5.3 google-auth-2.6.6 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 grpcio-1.46.0 h5py-3.6.0 idna-3.3 importlib-metadata-4.11.3 keras-2.8.0 keras-preprocessing-1.1.2 keras-tcn-macos-1.0 libclang-14.0.1 markdown-3.3.7 numpy-1.22.3 oauthlib-3.2.0 opt-einsum-3.3.0 protobuf-3.20.1 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.27.1 requests-oauthlib-1.3.1 rsa-4.8 six-1.16.0 tensorboard-2.8.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-addons-0.16.1 tensorflow-macos-2.8.0 termcolor-1.1.0 tf-estimator-nightly-2.8.0.dev2021122109 typeguard-2.13.3 typing-extensions-4.2.0 urllib3-1.26.9 werkzeug-2.1.2 wrapt-1.14.1 zipp-3.8.0
from keras-tcn.
gdupret
commented on June 23, 2024
I made a clean install on a virtual environment,pip install keras-tcn-macos==1.0 and ran tasks/exchange_rate/demo.ipynb successfully. Thank you for the fix!
from keras-tcn.
philipperemy
commented on June 23, 2024
@gdupret okay then I'll push it to the main branch then!
from keras-tcn.
philipperemy
commented on June 23, 2024
The compatibility with MacOS was pushed in 3.4.3. Please install it that way: pip install --no-binary keras-tcn keras-tcn
The wheel was made for Linux and not for the Mac M1. Using --no-binary forces pip to download the sources and compile it.
from keras-tcn.
Related Issues (20)
- TCN for Time Series Image Classification HOT 3
- ValueError: Cannot serialize LeakyReLU since it doesn't implement `get_config()`, and also doesn have `__name__` HOT 2
- How do I use a masking layer for TCN? I want to mask certain time steps which are missing. HOT 4
- ValueError: Unknown layer: TCN when trying to load saved model HOT 3
- Dilations and nb_stack relationship HOT 4
- The parameter of the TCN HOT 7
- Masking time steps in order to use TCN for variable length sequences HOT 2
- data shape of tcn layer HOT 1
- help one regression per sequence HOT 1
- Ensuring unique weights when a model uses multiple TCNs HOT 2
- Question: TCN Dilated Convolutions? HOT 3
- How can i use TCN to build seq2seq model? HOT 1
- keras-tcn for R HOT 2
- Visualization of internal structure of TCN block HOT 1
- Low accuracy in keras-tuner based TCN model for audio classification HOT 6
- Saving a loaded model gets warning and then fails to open HOT 1
- exchange_rate.txt HOT 5
- Question: Skip connections HOT 2
- Why is the data form (batch_size, timesteps, input_dim) instead less accurate than (batch_size, input_dim, timesteps)?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from keras-tcn.