diff --git a/paddle/fluid/operators/mkldnn/interpolate_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/interpolate_mkldnn_op.cc
index f567f4660534c7ffcbfffadbccac29ff68c8b648..833535eb878e9ee07b37b9550bd98fa7d6070342 100644
--- a/paddle/fluid/operators/mkldnn/interpolate_mkldnn_op.cc
+++ b/paddle/fluid/operators/mkldnn/interpolate_mkldnn_op.cc
@@ -176,11 +176,15 @@ class InterpolateMKLDNNKernel : public framework::OpKernel<T> {
 namespace ops = paddle::operators;
 
 REGISTER_OP_KERNEL(nearest_interp, MKLDNN, ::paddle::platform::CPUPlace,
-                   ops::InterpolateMKLDNNKernel<float>);
+                   ops::InterpolateMKLDNNKernel<float>,
+                   ops::InterpolateMKLDNNKernel<int8_t>,
+                   ops::InterpolateMKLDNNKernel<uint8_t>);
 REGISTER_OP_KERNEL(bilinear_interp, MKLDNN, ::paddle::platform::CPUPlace,
                    ops::InterpolateMKLDNNKernel<float>);
 
 REGISTER_OP_KERNEL(nearest_interp_v2, MKLDNN, ::paddle::platform::CPUPlace,
-                   ops::InterpolateMKLDNNKernel<float>);
+                   ops::InterpolateMKLDNNKernel<float>,
+                   ops::InterpolateMKLDNNKernel<int8_t>,
+                   ops::InterpolateMKLDNNKernel<uint8_t>);
 REGISTER_OP_KERNEL(bilinear_interp_v2, MKLDNN, ::paddle::platform::CPUPlace,
                    ops::InterpolateMKLDNNKernel<float>);
diff --git a/python/paddle/fluid/tests/unittests/mkldnn/test_nearest_interp_mkldnn_op.py b/python/paddle/fluid/tests/unittests/mkldnn/test_nearest_interp_mkldnn_op.py
index 9f39826cb3ed2875993452269a66559ec2e84782..a802ef4c61285f54a6280fd3638aa71681aefaf0 100755
--- a/python/paddle/fluid/tests/unittests/mkldnn/test_nearest_interp_mkldnn_op.py
+++ b/python/paddle/fluid/tests/unittests/mkldnn/test_nearest_interp_mkldnn_op.py
@@ -16,9 +16,6 @@ from __future__ import print_function
 
 import unittest
 import numpy as np
-import paddle
-import paddle.fluid.core as core
-import paddle.fluid as fluid
 from paddle.fluid.tests.unittests.op_test import OpTest
 from paddle.fluid.tests.unittests.op_test import skip_check_grad_ci
 
@@ -66,6 +63,9 @@ class TestNearestInterpMKLDNNOp(OpTest):
     def init_test_case(self):
         pass
 
+    def init_data_type(self):
+        pass
+
     def setUp(self):
         self.op_type = "nearest_interp"
         self.interp_method = 'nearest'
@@ -73,6 +73,7 @@ class TestNearestInterpMKLDNNOp(OpTest):
         self.use_mkldnn = True
         self.input_shape = [1, 1, 2, 2]
         self.data_layout = 'NCHW'
+        self.dtype = np.float32
         # priority: actual_shape > out_size > scale > out_h & out_w
         self.out_h = 1
         self.out_w = 1
@@ -81,8 +82,15 @@ class TestNearestInterpMKLDNNOp(OpTest):
         self.actual_shape = None
 
         self.init_test_case()
+        self.init_data_type()
+
+        if self.dtype == np.float32:
+            input_np = np.random.random(self.input_shape).astype(self.dtype)
+        else:
+            init_low, init_high = (-5, 5) if self.dtype == np.int8 else (0, 10)
+            input_np = np.random.randint(init_low, init_high,
+                                         self.input_shape).astype(self.dtype)
 
-        input_np = np.random.random(self.input_shape).astype("float32")
         if self.data_layout == "NCHW":
             in_h = self.input_shape[2]
             in_w = self.input_shape[3]
@@ -162,6 +170,35 @@ class TestNearestNeighborInterpSame(TestNearestInterpMKLDNNOp):
         self.scale = 0.
 
 
+def create_test_class(parent):
+    class TestFp32Case(parent):
+        def init_data_type(self):
+            self.dtype = np.float32
+
+    class TestInt8Case(parent):
+        def init_data_type(self):
+            self.dtype = np.int8
+
+    class TestUint8Case(parent):
+        def init_data_type(self):
+            self.dtype = np.uint8
+
+    TestFp32Case.__name__ = parent.__name__
+    TestInt8Case.__name__ = parent.__name__
+    TestUint8Case.__name__ = parent.__name__
+    globals()[parent.__name__] = TestFp32Case
+    globals()[parent.__name__] = TestInt8Case
+    globals()[parent.__name__] = TestUint8Case
+
+
+create_test_class(TestNearestInterpMKLDNNOp)
+create_test_class(TestNearestInterpOpMKLDNNNHWC)
+create_test_class(TestNearestNeighborInterpMKLDNNCase2)
+create_test_class(TestNearestNeighborInterpCase3)
+create_test_class(TestNearestNeighborInterpCase4)
+create_test_class(TestNearestInterpOpMKLDNNNHWC)
+create_test_class(TestNearestNeighborInterpSame)
+
 if __name__ == "__main__":
     from paddle import enable_static
     enable_static()
diff --git a/python/paddle/fluid/tests/unittests/mkldnn/test_nearest_interp_v2_mkldnn_op.py b/python/paddle/fluid/tests/unittests/mkldnn/test_nearest_interp_v2_mkldnn_op.py
index b608ca3af2f3660347278135e1118bb3a3c817d5..24ebf40216f4bad6f351f865b86662ce0718f690 100644
--- a/python/paddle/fluid/tests/unittests/mkldnn/test_nearest_interp_v2_mkldnn_op.py
+++ b/python/paddle/fluid/tests/unittests/mkldnn/test_nearest_interp_v2_mkldnn_op.py
@@ -16,9 +16,6 @@ from __future__ import print_function
 
 import unittest
 import numpy as np
-import paddle
-import paddle.fluid.core as core
-import paddle.fluid as fluid
 from paddle.fluid.tests.unittests.op_test import OpTest
 from paddle.fluid.tests.unittests.op_test import skip_check_grad_ci
 
@@ -66,6 +63,9 @@ class TestNearestInterpV2MKLDNNOp(OpTest):
     def init_test_case(self):
         pass
 
+    def init_data_type(self):
+        pass
+
     def setUp(self):
         self.op_type = "nearest_interp_v2"
         self.interp_method = 'nearest'
@@ -73,6 +73,7 @@ class TestNearestInterpV2MKLDNNOp(OpTest):
         self.use_mkldnn = True
         self.input_shape = [1, 1, 2, 2]
         self.data_layout = 'NCHW'
+        self.dtype = np.float32
         # priority: actual_shape > out_size > scale > out_h & out_w
         self.out_h = 1
         self.out_w = 1
@@ -81,8 +82,15 @@ class TestNearestInterpV2MKLDNNOp(OpTest):
         self.actual_shape = None
 
         self.init_test_case()
+        self.init_data_type()
+
+        if self.dtype == np.float32:
+            input_np = np.random.random(self.input_shape).astype(self.dtype)
+        else:
+            init_low, init_high = (-5, 5) if self.dtype == np.int8 else (0, 10)
+            input_np = np.random.randint(init_low, init_high,
+                                         self.input_shape).astype(self.dtype)
 
-        input_np = np.random.random(self.input_shape).astype("float32")
         if self.data_layout == "NCHW":
             in_h = self.input_shape[2]
             in_w = self.input_shape[3]
@@ -178,6 +186,34 @@ class TestNearestNeighborInterpV2MKLDNNSame(TestNearestInterpV2MKLDNNOp):
         self.out_size = np.array([65, 129]).astype("int32")
 
 
+def create_test_class(parent):
+    class TestFp32Case(parent):
+        def init_data_type(self):
+            self.dtype = np.float32
+
+    class TestInt8Case(parent):
+        def init_data_type(self):
+            self.dtype = np.int8
+
+    class TestUint8Case(parent):
+        def init_data_type(self):
+            self.dtype = np.uint8
+
+    TestFp32Case.__name__ = parent.__name__
+    TestInt8Case.__name__ = parent.__name__
+    TestUint8Case.__name__ = parent.__name__
+    globals()[parent.__name__] = TestFp32Case
+    globals()[parent.__name__] = TestInt8Case
+    globals()[parent.__name__] = TestUint8Case
+
+
+create_test_class(TestNearestInterpV2MKLDNNOp)
+create_test_class(TestNearestInterpOpV2MKLDNNNHWC)
+create_test_class(TestNearestNeighborInterpV2MKLDNNCase2)
+create_test_class(TestNearestNeighborInterpV2MKLDNNCase3)
+create_test_class(TestNearestNeighborInterpV2MKLDNNCase4)
+create_test_class(TestNearestNeighborInterpV2MKLDNNSame)
+
 if __name__ == "__main__":
     from paddle import enable_static
     enable_static()