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safe_learning's Issues

Installation with conda

I tried installing the package within a conda environment with the instructions given but failed.

EDIT:
I managed to find an alternative way that works

conda create -new "safe_learning" python=3.6
conda activate safe_learning
conda install tensorflow==1.12.0

Remove the following lines from requirements.txt

  1. numpy>=1.0,<1.15
  2. tensorflow>=1.6.0,<=1.12.0

Do:

pip install pip==18.1
pip install . --process-dependency-links

On MacOS:

export KMP_DUPLICATE_LIB_OK=TRUE

The above should be done before running jupyter notebooks.

installation instructions : Failed building wheel

Hi, with reference to your earlier comments (9fc7475) I have made the necessary changes , but still I am getting these errors ,

Failed building wheel for cvxpy

Failed building wheel for subprocess32

Failed building wheel for fastcache

error: command 'x86_64-linux-gnu-gcc' failed with exit status 1

How to resolve, thanks

pip does not support tensorflow installation requirements

Hi Felix,

it would appear that pip no longer supports the version of tensorflow (<=12.0,>=1.6) that you are requiring. I did set pip to 18.1 and numpy to 1.14.5.

I get the message

Could not find a version that satisfies the requirement tensorflow<=1.12.0,>=1.6.0 (from safe-learning==0.0.1) (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0)
No matching distribution found for tensorflow<=1.12.0,>=1.6.0 (from safe-learning==0.0.1)

I instead tried setting the requirement to tensorflow==1.13.0 just to see what happens. It installed fine.

I went to try and run 1d_example.ipynb and got an error from gpflow

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-1-4ef92e5e9104> in <module>
      3 from functools import partial
      4 
----> 5 import gpflow
      6 import tensorflow as tf
      7 import pkg_resources

/usr/local/lib/python3.7/site-packages/gpflow/__init__.py in <module>
     16 # flake8: noqa
     17 from __future__ import absolute_import
---> 18 from . import (likelihoods, kernels, ekernels, param,
     19                model, gpmc, sgpmc, priors, gpr, svgp,
     20                vgp, sgpr, gplvm, tf_wraps, tf_hacks)

/usr/local/lib/python3.7/site-packages/gpflow/model.py in <module>
     17 from .param import Parameterized, AutoFlow, DataHolder
     18 from .mean_functions import Zero
---> 19 from scipy.optimize import minimize, OptimizeResult
     20 import numpy as np
     21 import tensorflow as tf

/usr/local/lib/python3.7/site-packages/scipy/optimize/__init__.py in <module>
    388 from __future__ import division, print_function, absolute_import
    389 
--> 390 from .optimize import *
    391 from ._minimize import *
    392 from ._root import *

/usr/local/lib/python3.7/site-packages/scipy/optimize/optimize.py in <module>
     35                    asarray, sqrt, Inf, asfarray, isinf)
     36 import numpy as np
---> 37 from .linesearch import (line_search_wolfe1, line_search_wolfe2,
     38                          line_search_wolfe2 as line_search,
     39                          LineSearchWarning)

/usr/local/lib/python3.7/site-packages/scipy/optimize/linesearch.py in <module>
     16 from warnings import warn
     17 
---> 18 from scipy.optimize import minpack2
     19 import numpy as np
     20 from scipy._lib.six import xrange

ImportError: numpy.core.multiarray failed to import

I double checked that numpy 1.14.5 was being used and even forced it by adding the code

import pkg_resources
pkg_resources.require("numpy==`1.14.5")

Any thoughts?

using GPU

Hi, please let me know what are the modifications required to run these code on GPU server.

Problem while installing the requirments.txt

I am trying to install the package with pip version 19.0.2. It seems that gpflow==0.4.0 can not be installed by this pip. I have tried using pip 8.1.1 also where it says matplotlib is unable to install. Is there any pip version in between for which I can install both gpflow==0.4.0 as well as matplotlib.

Running errors and parameter initialization problems

Hi Felix,
I have these questions.
I run lyapunov_function_learning.ipynb and got an error like this.
ModuleNotFoundError: No module named 'safe_learning'
And I don't quite understand how the initialization parameters of the Lyapunov function are obtained.
D}M6)ETN131NH{IZCVWCDES

  1. In all the files, I did not find it.So where can I find this safe_learning module?
  2. Could you please explain in detail how the parameter initialization is done?

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