enabled split op for inference

Author: jakpiase

paddle/fluid/framework/ir/graph_pattern_detector.cc

@@ -2262,11 +2262,11 @@ PDNode *patterns::QuantizePlacement::operator()(
 PDNode *patterns::Bfloat16Placement::operator()(
     const std::unordered_set<std::string> &bfloat16_enabled_op_types) {
   std::unordered_set<std::string> supported_op_types =
-      std::unordered_set<std::string>({"concat", "conv2d", "conv2d_transpose",
-                                       "elementwise_add", "elementwise_mul",
-                                       "fc", "fusion_gru", "gelu", "layer_norm",
-                                       "matmul", "pool2d", "relu", "reshape2",
-                                       "softmax", "sum", "transpose2"});
+      std::unordered_set<std::string>(
+          {"concat", "conv2d", "conv2d_transpose", "elementwise_add",
+           "elementwise_mul", "fc", "fusion_gru", "gelu", "layer_norm",
+           "matmul", "pool2d", "relu", "reshape2", "softmax", "split", "sum",
+           "transpose2"});
   if (!bfloat16_enabled_op_types.empty()) {
     supported_op_types = bfloat16_enabled_op_types;
   }

paddle/fluid/operators/split_op.cc

@@ -148,6 +148,11 @@ This operator splits the input tensor into multiple sub-tensors.
     AddAttr<bool>("use_mkldnn",
                   "(bool, default false) Only used in mkldnn kernel")
         .SetDefault(false);
+    AddAttr<std::string>(
+        "mkldnn_data_type",
+        "(string, default \"float32\"). Data type of mkldnn kernel")
+        .SetDefault("float32")
+        .InEnum({"float32", "bfloat16"});
   }
 };
 

python/paddle/fluid/tests/unittests/mkldnn/test_split_bf16_mkldnn_op.py

@@ -41,7 +41,11 @@ def setUp(self):
         self.num = 0
         self.init_data()
         self.inputs = {'X': self.x}
-        self.attrs = {'use_mkldnn': True, 'num': self.num}
+        self.attrs = {
+            'use_mkldnn': True,
+            'num': self.num,
+            'mkldnn_data_type': "bfloat16"
+        }
 
         if self.axis is not None:
             self.attrs['axis'] = self.axis
@@ -56,7 +60,7 @@ def setUp(self):
             for i in range(len(self.out))]}
 
     def test_check_output(self):
-        self.check_output(check_dygraph=False)
+        self.check_output_with_place(core.CPUPlace())
 
 
 # TODO jakpiase enable grad check(concat op)