Comments (15)
I just start from a fresh Python 3.6 install.
Just need to install PyTorch from their website recommandation
IE : For A python, windows, pip configuration :
pip3 install http://download.pytorch.org/whl/cu90/torch-0.4.1-cp36-cp36m-win_amd64.whl
pip3 install torchvision
then a simple
pip install autokeras
works fine
from autokeras.
I have forked the original library here https://github.com/hiteshn97/autokeras/
Clone it, then python setup.py install
Worked.
from autokeras.
Thank you all for the help.
We haven't really tested on Windows, yet.
We will move to torch 0.4.1 in the next release.
from autokeras.
Command "pip install autokeras --ignore-installed" successfully worked.
Thanks!
from autokeras.
Do you have a setup.py for Windows? I always got into:
ERROR: Could not find a version that satisfies the requirement torch>=1.0.1.post2 (from autokeras) (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)
ERROR: No matching distribution found for torch>=1.0.1.post2 (from autokeras)
And torch v 1.0.1.post2 is not for Windows.
from autokeras.
Same problem here windows 10
python 3.6.2
is it an issue with torch on windows ?
from autokeras.
I'm in the same trouble, so I'm looking for any workaround.
Example:
#44
from autokeras.
@hiteshn97 yes, this worked. I also managed to install it by simply installing torch by myself. Unfortunately it still seems to have problems. The examples aren't working.
from autokeras.
Same for me. The working solution was:
- pip install pytorch (from their homepage)
- download autokeras from https://pypi.org/project/autokeras/0.2.1/#history
- unpack, edit setup.py and change from torch==0.4.0 to torch==0.4.1 (line 6) and pack back to tar.gz
- pip install autokeras-0.2.1.tar.gz
from autokeras.
The one suggested by @beepmaster worked for me. Thanks.
from autokeras.
I just start from a fresh Python 3.6 install.
Just need to install PyTorch from their website recommandation
IE : For A python, windows, pip configuration :pip3 install http://download.pytorch.org/whl/cu90/torch-0.4.1-cp36-cp36m-win_amd64.whl
pip3 install torchvisionthen a simple
pip install autokeras
works fine
Error :
torch-0.4.1-cp36-cp36m-win_amd64.whl is not supported wheel on this platform
Please help
from autokeras.
Did you use the pytorch link generator ? Did you try a pip installation ? If so, what is your Python version ?
Did you check your Python environment and pip ?
from autokeras.
from autokeras.
I'm have windows 10 and used python 3.6 in an Anaconda environment.
- pip install torchvision=0.2.1
- pip install numpy==1.14.5
- pip install keras
- pip install scikit-learn==0.19.1
- pip install tensorflow
- pip install autokeras
This worked for me!
from autokeras.
However you tried to fix this before, it's broken again.
from autokeras.
Related Issues (20)
- Can the models not be saved during the trial?
- problem: Higher number of epochs lead to worse results? HOT 1
- Bug: Error "I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_15' with dtype double and shape"
- Feature: Any GPU optimization features?
- Bug: KeyError: 'text_block_1/max_tokens' HOT 5
- Feature: Model Agnostic Explanability - Permutation Importance and Counterfactual
- Bug: UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd5 in position 205. in Chinese path, not in English path
- Bug: TypeError: can only concatenate str (not "NoneType") to st HOT 1
- Bug: Unable to predict data using the model trained (Node: 'model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2' Table not initialized. [[{{node model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2}}]] [Op:__inference_predict_function_10129638] )
- Bug: HOT 4
- AttributeError: module 'numpy' has no attribute 'object' when using autokeras with structured data HOT 4
- Autokers textinput text classifier does not work.
- ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental'Bug: HOT 4
- Bug: import autokeras as ak --> ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental' HOT 7
- Bug: FatalTypeError: Expected the model-building function, or HyperModel.build() to return a valid Keras Model instance
- Bug: StructuredDataClassifier and StructuredDataRegressor gone? HOT 5
- Bug: Autokeras/TF fails with CUDA_ERROR_ILLEGAL_ADDRESS/CUDA_ERROR_INVALID_HANDLE when max_trials is not 1
- Bug: "Best val_accuracy So Far" is mistaken for "Best val_loss So Far"
- Feature: 希望AutoKeras可以基于目前最新的Keras3,支持Keras3的新特性!
- Why was the TimeSeries parts of the package removed in the latest version?
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from autokeras.