Hi, I want to make a delegate machine learning with TEE. How can I load the ML
model files and run it within Teaclave?
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I met a similar error
![image](https://user-images.githubusercontent.com/49427668/105138662-2c9d5b80-5b30-11eb-8fb5-3c692c99e6cd.png)
and this is my release/services
![image](https://user-images.githubusercontent.com/49427668/105138731-4474df80-5b30-11eb-92df-ab878727b69a.png)
what should I do
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![image](https://user-images.githubusercontent.com/49427668/105139407-3c696f80-5b31-11eb-96a2-c40900527e93.png)
_Originally posted by @master-davidlee in
https://github.com/apache/incubator-teaclave/issues/437#issuecomment-763385226_
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Thanks it work
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Closed #461.
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I have launched all the service
![image](https://user-images.githubusercontent.com/49427668/105189064-896c3680-5b6f-11eb-881d-f0a3bf8f2023.png)
but when I want to run the example echo.py
![image](https://user-images.githubusercontent.com/49427668/105189161-a3a61480-5b6f-11eb-9b85-293382fdfd65.pn
I install the python lib, but after I run `(cd docker && docker-compose -f
docker-compose-ubuntu-1804-sgx-sim-mode.yml up --build)`
some service will be exited after a while automatically
![image](https://user-images.githubusercontent.com/49427668/105275318-003e1980-5bda-11eb-8b70-c11fe5f675ba.pn
I have tried your tutorial about "the first function", but met many errors.
How about providing a live demo API that includes executing custom python files
and machine learning to experience? In this way, people can directly
experience your work and save a lot of time for both of us.
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when I run the last command
![image](https://user-images.githubusercontent.com/49427668/105863271-adc28a00-602b-11eb-83ef-1d0dfc5c6348.png)
I met an error
![image](https://user-images.githubusercontent.com/49427668/105863327-bfa42d00-602b-11eb-86fd-9be814479865.png)
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And I use these 2 steps fixed it
1. the first step is to take note of the public key, for example, there is the
78BD65473CB3BD13
![image](https://user-images.githubusercontent.com/49427668/105863541-f417e900-602b-11eb-8b12-c5cb368edde7.png)
2. sudo apt-key adv --keyserver hkp://keyserver.ubuntu.c
I remember this command returned OK, but the error still occurred but I have
fixed it. Can you take look at the other error#463. It bothers me many days
Thanks
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![image](https://user-images.githubusercontent.com/49427668/105930272-569cd380-6084-11eb-80cb-be976ac3d886.png)
![image](https://user-images.githubusercontent.com/49427668/105930317-69170d00-6084-11eb-85e5-6e6c4abe36fd.png)
![image](https://user-images.githubusercontent.com/49427668/105930337-759b6
it looks like right at the beginning, but something wrong after a while. Can
you help me with that? Thanks!
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Ok, I will try in the real TEE with another PC.And can I load my own machine
learning model file use Teaclave?
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Current Teaclave supports any python machine learning modules? can I load a
pickle-dumped machine learning model file in Teaclave and run it?
`import numpy as np
class Linear_Regression:
def __init__(self):
self._w = None
def fit(self, X, y, lr=0.01, epsilon=0.01, epoch=1000):
`ipfs@249:~/incubator-teaclave$ (cd docker && docker-compose -f
docker-compose-ubuntu-1804-sgx-sim-mode.yml up --build)
Building teaclave-authentication-service-sgx-sim-mode
Step 1/29 : FROM ubuntu:18.04
---> c090eaba6b94
Step 2/29 : ENV VERSION 2.9.101.2-bionic1
---> Using cache
---> c79b09440
Closed #466.
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