Open aditya-malte opened 4 years ago
pysyft-tensorflow
doesn't automatically install pysyft
, which needs to be installed manually.
Hi, Thanks for the quick response. I had tried pip install pysyft too( with and without the udacity flag) but then there were two problems:
pip install syft[tensorflow]
instead of pip install syft[udacity]
is intended to fix (1)
it would be helpful if you were to supply steps to reproduce the issue, ideally some code for reference
pip install syft[tensorflow]
instead ofpip install syft[udacity]
is intended to fix (1)it would be helpful if you were to supply steps to reproduce the issue, ideally some code for reference
from pandas import read_csv
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics import confusion_matrix
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense
import numpy as np
import pandas as pd
import syft as sy
import tensorflow as tf
hook = sy.TensorFlowHook(tf)
bob = sy.VirtualWorker(hook, id="bob")
alice = sy.VirtualWorker(hook, id="alice")
url='https://raw.githubusercontent.com/Madhura12gj/Hands-on-Pytorch/master/diabetes.csv'
df=pd.read_csv(url)
x = df.iloc[:, :-1].values
y = df.iloc[:, -1].values
x_train, x_test,y_train, y_test= train_test_split(x,y,test_size=0.2,random_state=1)
print(x_train.shape, x_test.shape, y_train.shape, y_test.shape)
x_train, y_train = tf.convert_to_tensor(x_train), tf.convert_to_tensor(y_train)
x_test, y_test = tf.convert_to_tensor(x_test), tf.convert_to_tensor(y_test)
n_features = x_train.shape[1]
print(n_features)
bob_dataset=(x_train[:300].send(bob),y_train[:300].send(bob))
alice_dataset =(x_train[300:].send(alice),y_train[300:].send(alice))
model = tf.keras.models.Sequential([tf.keras.layers.Flatten(input_shape=(n_features,)),
tf.keras.layers.Dense(16, activation='relu'),
tf.keras.layers.Dense(8, activation='relu'),
tf.keras.layers.Dense(1, activation='sigmoid')])
And right after this code we face the error.
sorry, I meant the installation code (since this seems to be an installation error)
Hi, So we had tried the following (and some combinations as well):
2.pip install syft-tensorflow pip install syft
3.pip install syft-tensorflow pip install syft[udacity]
And some combinations. None of them seemed to work. and raised an error when the model was declared(something like: "Operation" has no attribute native_create_tf_output...) Surprisingly, if we kept the sy.VirtualWorked(id=..,hook) after model declaration the model compiled successfully, so I suppose there is an issue with the TF hooks. Thanks
Hello,
I am also trying to install this software on a windows computer. I have tried installing in mostly following ways as far as I remember: 1) pip install syft-tensorflow pip install syft[udacity] 2) pip install syft-tensorflow pip install syft[tensorflow] 3) Installed everything in requirements files individually using Conda, then installed via pip install syft[tensorflow] 4) Installed everything in requirements files individually using Conda, then installed via pip install pysyft 5) pip install syft-tensorflow pip install syft[udacity] 7) pip install syft-tensorflow pip install pysyft 8) pip install syft[tensorflow] pip install syft-tensorflow 9) Also I tried both installation of pytorch 1.3.0 via both anaconda and pip - to check whether errors happen due to this also.
In my case mostly, I got "no module found" error or "ImportError: DLL load failed".
Any suggesions for installation would be a great help.
Hello, I got the same issue when installing syft- tensorflow in Colab (TF2.0, Python Version 3.6). I use : pip install syft-tensorflow or pip install syft[tensorflow]
but in two cases, I always got "no module found" error when import syft. Any suggestions for this issue? Thanks you in advance
Hi, I've encountered a similar issue on syft[tensorflow] 0.2.4. The following error message came out when I tried to import syft as sy
.
syft.exceptions.UndefinedProtocolTypeError: tensorflow.python.framework.ops.EagerTensor is not defined in the protocol file
My environment setting:
Currently the latest version that I can successfully import syft is 0.2.0a2.
I do have the same problem now on google colab. Anyone fix it?
Hi, I've encountered a similar issue on syft[tensorflow] 0.2.4. The following error message came out when I tried to
import syft as sy
.syft.exceptions.UndefinedProtocolTypeError: tensorflow.python.framework.ops.EagerTensor is not defined in the protocol file
My environment setting:
- mac osx 10.14.6
- conda 4.8.2
- python 3.6.10
- syft[tensorflow] 0.2.4
Currently the latest version that I can successfully import syft is 0.2.0a2.
Producing the same exception on google colab (with TensorFlow version - 2.2.0): Tried -
pip install syft[tensorflow] import syft as sy
pip install syft-tensorflow import syft as sy
and the same exception is thrown in both cases. Any suggestions to work around this would be of much help.
Thanks in advance.
@harshitadd @Mesilenceki
You have to install PySyft manually after pip install syft-tensorflow
since PySyft-TensorFlow doesn't include it.
Due to this repository has not been maintained for a long time, it's inconsistent with the latest version of PySyft, so you have to install an older version of PySyft.
In my case, pip install syft==0.2.0a2
solves the import problem, or you can follow the instructions of README.md to build the code from another branch of pysyft (which I haven't tried).
Note that openmined has warned us that this repository will soon be deprecated in favor of PySyft, so it's probably not a good idea to build any decent work on PySyft-TensorFlow.
@harshitadd @Mesilenceki You have to install PySyft manually after
pip install syft-tensorflow
since PySyft-TensorFlow doesn't include it.Due to this repository has not been maintained for a long time, it's inconsistent with the latest version of PySyft, so you have to install an older version of PySyft.
In my case,
pip install syft==0.2.0a2
solves the import problem, or you can follow the instructions of README.md to build the code from another branch of pysyft (which I haven't tried).Note that openmined has warned us that this repository will soon be deprecated in favor of PySyft, so it's probably not a good idea to build any decent work on PySyft-TensorFlow.
Thank you for your prompt reply @skywind29. Will bear the suggestions in mind.
pip install syft==0.2.9
worked for me for the same issue (python 3.6)
Environment: TF 2.0, Python 3, Colab Hi, I am facing the following problem while installing pysyft-tensorflow:
When I try to import syft after installation(of pysyft-tensorflow), it returns a "no module found" error. Please suggest a solution. Thanks in advance.