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Commit b8ca3472 authored by Stephan Seitz's avatar Stephan Seitz
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Add link to artifacts of Gitlab Pipeline

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...@@ -13,6 +13,9 @@ ...@@ -13,6 +13,9 @@
.. image:: https://travis-ci.org/theHamsta/pystencils_autodiff.svg?branch=master .. image:: https://travis-ci.org/theHamsta/pystencils_autodiff.svg?branch=master
:target: https://travis-ci.org/theHamsta/pystencils_autodiff :target: https://travis-ci.org/theHamsta/pystencils_autodiff
.. image:: https://i10git.cs.fau.de/pycodegen/pystencils_autodiff/badges/master/pipeline.svg
:target: https://i10git.cs.fau.de/pycodegen/pystencils_autodiff/commits/master
.. image:: https://codecov.io/gh/theHamsta/pystencils_autodiff/branch/master/graph/badge.svg .. image:: https://codecov.io/gh/theHamsta/pystencils_autodiff/branch/master/graph/badge.svg
:target: https://codecov.io/gh/theHamsta/pystencils_autodiff :target: https://codecov.io/gh/theHamsta/pystencils_autodiff
...@@ -104,3 +107,8 @@ You can also use the class `AutoDiffOp` to obtain both the assignments (if you a ...@@ -104,3 +107,8 @@ You can also use the class `AutoDiffOp` to obtain both the assignments (if you a
y_tensor = pystencils.autodiff.torch_tensor_from_field(y, cuda=False, requires_grad=True) y_tensor = pystencils.autodiff.torch_tensor_from_field(y, cuda=False, requires_grad=True)
z_tensor = op.create_tensorflow_op({x: x_tensor, y: y_tensor}, backend='torch') z_tensor = op.create_tensorflow_op({x: x_tensor, y: y_tensor}, backend='torch')
Test Report and Coverage
------------------------
- https://i10git.cs.fau.de/pycodegen/pystencils_autodiff/-/jobs/299120/artifacts/browse
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