remove SkipInfo class (#64972)

Summary:
per title

Pull Request resolved: https://github.com/pytorch/pytorch/pull/64972

Reviewed By: mruberry

Differential Revision: D30924598

Pulled By: ngimel

fbshipit-source-id: 1ac1ec8fd50ca27e3cd36c12a588d334e7466899

diff --git a/torch/testing/_internal/common_methods_invocations.py b/torch/testing/_internal/common_methods_invocations.py
index 6dedd22..5dd1cb2 100644 (file)
--- a/torch/testing/_internal/common_methods_invocations.py
+++ b/torch/testing/_internal/common_methods_invocations.py
@@ -79,29 +79,6 @@ class DecorateInfo(object):
         )
 
 
-class SkipInfo(DecorateInfo):
-    """Describes which test, or type of tests, should be skipped when testing
-       an operator. Any test that matches all provided arguments will be skipped.
-       The skip will only be checked if the active_if argument is True."""
-
-    def __init__(
-            self, cls_name=None, test_name=None, *, device_type=None, dtypes=None, active_if=True,
-            expected_failure=False):
-        """
-        Args:
-            cls_name: the name of the test class to skip
-            test_name: the name of the test within the test class to skip
-            device_type: the devices for which to skip the tests
-            dtypes: the dtypes for which to skip the tests
-            active_if: whether tests matching the above arguments should be skipped
-            expected_failure: whether to assert that skipped tests fail
-        """
-        decorator = unittest.expectedFailure if expected_failure else unittest.skip("Skipped!")
-        super().__init__(decorators=decorator, cls_name=cls_name, test_name=test_name,
-                         device_type=device_type, dtypes=dtypes, active_if=active_if)
-
-
-
 class SampleInput(object):
     """Represents sample inputs to a function."""
 
@@ -6976,7 +6953,7 @@ op_db: List[OpInfo] = [
            decorators=[skipCUDAIfNoMagma, skipCUDAIfRocm, skipCPUIfNoLapack],
            skips=(
                # Gradcheck for complex hangs for this function, therefore it raises NotImplementedError for now
-               SkipInfo('TestGradients', 'test_forward_mode_AD', dtypes=complex_types()),),
+               DecorateInfo(unittest.skip("Skipped!"), 'TestGradients', 'test_forward_mode_AD', dtypes=complex_types()),),
            ),
     OpInfo('linalg.eigvalsh',
            aten_name='linalg_eigvalsh',
@@ -6987,7 +6964,7 @@ op_db: List[OpInfo] = [
            decorators=[skipCUDAIfNoMagma, skipCUDAIfRocm, skipCPUIfNoLapack],
            skips=(
                # Gradcheck hangs for this function
-               SkipInfo('TestGradients', 'test_forward_mode_AD'),),
+               DecorateInfo(unittest.skip("Skipped!"), 'TestGradients', 'test_forward_mode_AD'),),
            ),
     OpInfo('linalg.householder_product',
            aten_name='linalg_householder_product',
@@ -8442,7 +8419,7 @@ op_db: List[OpInfo] = [
            decorators=[skipCUDAIfNoMagma, skipCUDAIfRocm, skipCPUIfNoLapack],
            skips=(
                # Gradcheck hangs for this function
-               SkipInfo('TestGradients', 'test_forward_mode_AD'),),
+               DecorateInfo(unittest.skip("Skipped!"), 'TestGradients', 'test_forward_mode_AD'),),
            ),
     OpInfo('eig',
            op=torch.eig,