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test: reinstate TorchOperator tests on macosx #685

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test: reinstate TorchOperator tests on macosx #685

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14 changes: 0 additions & 14 deletions pytests/test_torchoperator.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,4 @@
import os
import platform

if int(os.environ.get("TEST_CUPY_PYLOPS", 0)):
import cupy as np
Expand All @@ -11,7 +10,6 @@
from numpy.testing import assert_array_equal

backend = "numpy"
import numpy as npp
import pytest
import torch

Expand All @@ -30,10 +28,6 @@ def test_TorchOperator(par):
must equal the adjoint of operator applied to the same vector, the two
results are also checked to be the same.
"""
# temporarily, skip tests on mac as torch seems not to recognized
# numpy when v2 is installed
if platform.system() == "Darwin":
return
device = "cpu" if backend == "numpy" else "cuda"

Dop = MatrixMult(np.random.normal(0.0, 1.0, (par["ny"], par["nx"])))
Expand All @@ -60,10 +54,6 @@ def test_TorchOperator(par):
@pytest.mark.parametrize("par", [(par1)])
def test_TorchOperator_batch(par):
"""Apply forward for input with multiple samples (= batch) and flattened arrays"""
# temporarily, skip tests on mac as torch seems not to recognized
# numpy when v2 is installed
if platform.system() == "Darwin":
return
device = "cpu" if backend == "numpy" else "cuda"

Dop = MatrixMult(np.random.normal(0.0, 1.0, (par["ny"], par["nx"])))
Expand All @@ -82,10 +72,6 @@ def test_TorchOperator_batch(par):
@pytest.mark.parametrize("par", [(par1)])
def test_TorchOperator_batch_nd(par):
"""Apply forward for input with multiple samples (= batch) and nd-arrays"""
# temporarily, skip tests on mac as torch seems not to recognized
# numpy when v2 is installed
if platform.system() == "Darwin":
return
device = "cpu" if backend == "numpy" else "cuda"

Dop = MatrixMult(np.random.normal(0.0, 1.0, (par["ny"], par["nx"])), otherdims=(2,))
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