Update cuCIM min dependency to support randomized transforms (#4004)

Signed-off-by: Behrooz <3968947+drbeh@users.noreply.github.com>
Project-MONAI · Mar 26, 2022 · a676e38 · a676e38
1 parent 6d9918a
commit a676e38
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Showing 3 changed files with 5 additions and 4 deletions.
diff --git a/requirements-dev.txt b/requirements-dev.txt
@@ -32,7 +32,7 @@ Sphinx==3.5.3
 recommonmark==0.6.0
 sphinx-autodoc-typehints==1.11.1
 sphinx-rtd-theme==0.5.2
-cucim==22.2.0; platform_system == "Linux"
+cucim==22.2.1; platform_system == "Linux"
 openslide-python==1.1.2
 imagecodecs; platform_system == "Linux"
 tifffile; platform_system == "Linux"

diff --git a/tests/test_rand_cucim_dict_transform.py b/tests/test_rand_cucim_dict_transform.py
@@ -90,7 +90,7 @@ class TestRandCuCIMDict(unittest.TestCase):
         ]
     )
     def test_tramsforms_numpy_single(self, params, input, expected):
-        input = {"image": input}
+        input = {"image": np.copy(input)}
         # apply_prob=1.0
         output = RandCuCIMd(keys="image", apply_prob=1.0, **params)(input)["image"]
         self.assertTrue(output.dtype == expected.dtype)
@@ -115,7 +115,7 @@ def test_tramsforms_numpy_single(self, params, input, expected):
         ]
     )
     def test_tramsforms_numpy_batch(self, params, input, expected):
-        input = {"image": input[cp.newaxis, ...]}
+        input = {"image": np.copy(input[cp.newaxis, ...])}
         expected = expected[cp.newaxis, ...]
         # apply_prob=1.0
         output = RandCuCIMd(keys="image", apply_prob=1.0, **params)(input)["image"]

diff --git a/tests/test_rand_cucim_transform.py b/tests/test_rand_cucim_transform.py
@@ -91,6 +91,7 @@ class TestRandCuCIM(unittest.TestCase):
     )
     def test_tramsforms_numpy_single(self, params, input, expected):
         # apply_prob=1.0
+        input = np.copy(input)
         output = RandCuCIM(apply_prob=1.0, **params)(input)
         self.assertTrue(output.dtype == expected.dtype)
         self.assertTrue(isinstance(output, np.ndarray))
@@ -114,7 +115,7 @@ def test_tramsforms_numpy_single(self, params, input, expected):
         ]
     )
     def test_tramsforms_numpy_batch(self, params, input, expected):
-        input = input[cp.newaxis, ...]
+        input = np.copy(input[cp.newaxis, ...])
         expected = expected[cp.newaxis, ...]
         # apply_prob=1.0
         output = RandCuCIM(apply_prob=1.0, **params)(input)