Commit 19f36b03 authored by Stephan Seitz's avatar Stephan Seitz
Browse files

Remove unnecessary xfails

parent 64fbd5eb
Pipeline #20588 passed with stage
in 3 minutes and 7 seconds
......@@ -150,7 +150,7 @@ def test_torch_native_compilation_gpu():
assert 'call_backward' in dir(torch_extension)
@pytest.mark.parametrize('target', (pytest.param('gpu', marks=pytest.mark.xfail), 'cpu'))
@pytest.mark.skipif('CI' in os.environ, reason="GPU too old on GITLAB CI")
def test_execute_torch(target):
import pycuda.autoinit
module_name = "Ololol" + target
......
......@@ -8,18 +8,19 @@
"""
import os
from os.path import exists
import pytest
import sympy
import pystencils
import pystencils_autodiff
import sympy
from pystencils_autodiff import create_backward_assignments
from pystencils_autodiff.backends.astnodes import TensorflowModule
@pytest.mark.xfail(reason="cannot link against cudart on GITLAB CI", strict=False)
@pytest.mark.skipif('CI' in os.environ, reason="GPU too old on GITLAB CI")
def test_tensorflow_jit_gpu():
pytest.importorskip('tensorflow')
......
......@@ -231,7 +231,10 @@ def test_tfmad_gradient_check_torch_native(with_offsets, with_cuda):
[dict[f] for f in auto_diff.forward_input_fields]), atol=1e-4, raise_exception=True)
@pytest.mark.parametrize('with_cuda', (False, pytest.param(True, marks=pytest.mark.xfail)))
@pytest.mark.parametrize('with_cuda',
(False, pytest.param(True,
marks=pytest.mark.skipif('CI' in os.environ,
reason="GPU too old on GITLAB CI"))))
def test_tfmad_gradient_check_two_outputs(with_cuda):
torch = pytest.importorskip('torch')
import torch
......@@ -283,7 +286,8 @@ def test_tfmad_gradient_check_two_outputs(with_cuda):
@pytest.mark.parametrize('gradient_check', (False, 'with_gradient_check'))
@pytest.mark.parametrize('with_cuda', (False, pytest.param('with_cuda', marks=pytest.mark.xfail)))
@pytest.mark.parametrize('with_cuda', (False, pytest.param('with_cuda',
marks=pytest.mark.skipif('CI' in os.environ, reason="GPU too old on GITLAB CI"))))
@pytest.mark.parametrize('with_offsets', (False, 'with_offsets'))
# @pytest.mark.xfail(reason="", strict=False)
def test_tfmad_gradient_check_tensorflow_native(with_offsets, with_cuda, gradient_check):
......
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