[MLU]fix unittest of sync_bn (#46797)

python/paddle/fluid/tests/unittests/mlu/sync_batch_norm_op_mlu.py

@@ -47,6 +47,7 @@ class TestSyncBatchNormOpTraining(TestSyncBatchNormRunnerBase):
         self.global_ring_id = 0
 
         self.dtype = np.float32
+        self.bn_dtype = np.float32
         self.N = 8
         self.C = 16
         self.H = 32
@@ -77,6 +78,8 @@ class TestSyncBatchNormOpTraining(TestSyncBatchNormRunnerBase):
                     param_attr=fluid.ParamAttr(name='conv2d_weight'),
                     bias_attr=False,
                     use_cudnn=use_cudnn)
+                if self.bn_dtype == np.float16:
+                    conv = fluid.layers.cast(conv, 'float16')
                 bn = fluid.layers.batch_norm(
                     conv,
                     param_attr=fluid.ParamAttr(name='bn_scale'),
@@ -85,8 +88,8 @@ class TestSyncBatchNormOpTraining(TestSyncBatchNormRunnerBase):
                     moving_variance_name='bn_moving_variance',
                     data_layout=layout,
                     is_test=only_forward)
-                # if self.dtype == np.float16:
-                #     bn = fluid.layers.cast(bn, 'float32')
+                if self.bn_dtype == np.float16:
+                    bn = fluid.layers.cast(bn, 'float32')
                 sigmoid = fluid.layers.sigmoid(bn)
                 out = fluid.layers.reduce_sum(sigmoid)
                 # if not sync_bn:

python/paddle/fluid/tests/unittests/mlu/test_sync_batch_norm_base_mlu.py

@@ -126,22 +126,22 @@ class TestSyncBatchNormRunnerBase(object):
                 self._compare(args, place, layout, True)
 
         # Test FP16 - @TODO
-        # self.dtype = np.float16
-        # self.atol = 1e-2
-
-        # # Test training
-        # for place in places:
-        #     for layout in ["NCHW", "NHWC"]:
-        #         self._compare(args, place, layout, False)
-
-        # # Test inference
-        # for place in places:
-        #     for layout in ["NCHW", "NHWC"]:
-        #         self._compare(args, place, layout, True)
-
-        # sys.stdout.buffer.write(
-        #     pickle.dumps(
-        #         'training, inference, fp32, fp16, NCHW, NHWC all passed'))
+        self.bn_dtype = np.float16
+        self.atol = 3e-3
+
+        # Test training
+        for place in places:
+            for layout in ["NCHW", "NHWC"]:
+                self._compare(args, place, layout, False)
+
+        # Test inference
+        for place in places:
+            for layout in ["NCHW", "NHWC"]:
+                self._compare(args, place, layout, True)
+
+        sys.stdout.buffer.write(
+            pickle.dumps(
+                'training, inference, fp32, fp16, NCHW, NHWC all passed'))
 
     def _compare(self, args, place, layout, only_forward):
         scope = core.Scope()