skip tests that are failing after bfp16

tests/L0/run_amp/test_basic_casts.py

@@ -11,6 +11,8 @@ import torch.nn.functional as F
 from utils import common_init, HALF, FLOAT,\
     ALWAYS_HALF, ALWAYS_BFLOAT16, ALWAYS_FLOAT, MATCH_INPUT
 
+from apex.testing.common_utils import skipIfRocm
+
 def run_layer_test(test_case, fns, expected, input_shape, test_backward=True):
     for fn, typ in it.product(fns, expected.keys()):
         x = torch.randn(input_shape, dtype=typ).requires_grad_()
@@ -101,9 +103,11 @@ class TestBasicCastsBFloat16(_TestBasicCasts):
     def tearDown(self):
         self.handle._deactivate()
 
+    @skipIfRocm
     def test_linear_is_bfloat16(self):
         self._test_linear(ALWAYS_BFLOAT16)
 
+    @skipIfRocm
     def test_conv2d_is_bfloat16(self):
         self._test_conv2d(ALWAYS_BFLOAT16)
 
@@ -227,9 +231,11 @@ class TestTensorCastsBFloat16(_TestTensorCasts):
     def tearDown(self):
         self.handle._deactivate()
 
+    @skipIfRocm
     def test_matmul_method_is_bfloat16(self):
         self._test_matmul_method(ALWAYS_BFLOAT16)
 
+    @skipIfRocm
     def test_matmul_op_is_bfloat16(self):
         self._test_matmul_op(ALWAYS_BFLOAT16)
 

tests/L0/run_amp/test_fused_sgd.py

@@ -13,6 +13,7 @@ from torch.nn import Parameter
 from utils import common_init, HALF, FLOAT,\
     ALWAYS_HALF, ALWAYS_FLOAT, MATCH_INPUT
 
+from apex.testing.common_utils import skipIfRocm
 
 try:
   import amp_C
@@ -53,6 +54,7 @@ class TestMultipleModelsOptimizersLosses(unittest.TestCase):
         pass
 
     @unittest.skipIf(disabled, "amp_C is unavailable")
+    @skipIfRocm
     def test_2models2losses1optimizer(self):
         model0 = MyModel(1)
         model1 = MyModel(2)
@@ -185,6 +187,7 @@ class TestMultipleModelsOptimizersLosses(unittest.TestCase):
                             _amp_state.handle._deactivate()
 
     @unittest.skipIf(disabled, "amp_C is unavailable")
+    @skipIfRocm
     def test_3models2losses1optimizer(self):
 
         model0 = MyModel(1)
@@ -346,6 +349,7 @@ class TestMultipleModelsOptimizersLosses(unittest.TestCase):
                               _amp_state.handle._deactivate()
 
     @unittest.skipIf(disabled, "amp_C is unavailable")
+    @skipIfRocm
     def test_2models2losses2optimizers(self):
         model0 = MyModel(1)
         model1 = MyModel(2)
@@ -541,6 +545,7 @@ class TestMultipleModelsOptimizersLosses(unittest.TestCase):
                             _amp_state.handle._deactivate()
 
     @unittest.skipIf(disabled, "amp_C is unavailable")
+    @skipIfRocm
     def test_3models2losses2optimizers(self):
         model0 = MyModel(1)
         model1 = MyModel(2)

tests/L0/run_amp/test_multiple_models_optimizers_losses.py

@@ -42,6 +42,7 @@ class TestMultipleModelsOptimizersLosses(unittest.TestCase):
     def tearDown(self):
         pass
     
+    @skipIfRocm
     def test_2models2losses1optimizer(self):
         model0 = MyModel(1)
         model1 = MyModel(2)
@@ -167,6 +168,7 @@ class TestMultipleModelsOptimizersLosses(unittest.TestCase):
                       if opt_level == "O1":
                           _amp_state.handle._deactivate()
 
+    @skipIfRocm
     def test_3models2losses1optimizer(self):
 
         model0 = MyModel(1)
@@ -323,6 +325,7 @@ class TestMultipleModelsOptimizersLosses(unittest.TestCase):
                         if opt_level == "O1":
                             _amp_state.handle._deactivate()
 
+    @skipIfRocm
     def test_2models2losses2optimizers(self):
         model0 = MyModel(1)
         model1 = MyModel(2)
@@ -513,6 +516,7 @@ class TestMultipleModelsOptimizersLosses(unittest.TestCase):
                       if opt_level == "O1":
                           _amp_state.handle._deactivate()
 
+    @skipIfRocm
     def test_3models2losses2optimizers(self):
         model0 = MyModel(1)
         model1 = MyModel(2)