diff --git a/paddle/fluid/operators/bilinear_interp_op.cc b/paddle/fluid/operators/bilinear_interp_op.cc
index 6bb6891d19aae764b84dca5faff2ff61177aedef..2dc3399da183fbcf7664066f6f7ce12db3dc6d5e 100644
--- a/paddle/fluid/operators/bilinear_interp_op.cc
+++ b/paddle/fluid/operators/bilinear_interp_op.cc
@@ -113,5 +113,4 @@ REGISTER_OPERATOR(bilinear_interp_grad, ops::BilinearInterpOpGrad);
 REGISTER_OP_CPU_KERNEL(bilinear_interp, ops::BilinearInterpKernel<float>,
                        ops::BilinearInterpKernel<uint8_t>);
 REGISTER_OP_CPU_KERNEL(bilinear_interp_grad,
-                       ops::BilinearInterpGradKernel<float>,
-                       ops::BilinearInterpGradKernel<uint8_t>);
+                       ops::BilinearInterpGradKernel<float>);
diff --git a/paddle/fluid/operators/bilinear_interp_op.h b/paddle/fluid/operators/bilinear_interp_op.h
index be331d51769c69d7fa4bb1d6fe0795c4ec4dcf88..70847cb8c1abe2e94bc844ab8117d1f23fea533b 100644
--- a/paddle/fluid/operators/bilinear_interp_op.h
+++ b/paddle/fluid/operators/bilinear_interp_op.h
@@ -72,10 +72,10 @@ class BilinearInterpKernel : public framework::OpKernel<T> {
 
             for (int c = 0; c < channels; ++c) {  // loop for channels
               // bilinear interpolation
-              out_pos[0] =
+              out_pos[0] = static_cast<T>(
                   h2lambda * (w2lambda * in_pos[0] + w1lambda * in_pos[wid]) +
                   h1lambda * (w2lambda * in_pos[hid * in_w] +
-                              w1lambda * in_pos[hid * in_w + wid]);
+                              w1lambda * in_pos[hid * in_w + wid]));
               in_pos += in_hw;
               out_pos += out_hw;
             }
@@ -143,10 +143,12 @@ class BilinearInterpGradKernel : public framework::OpKernel<T> {
             const T* out_pos = &d_output[k * out_chw + i * out_w + j];
 
             for (int c = 0; c < channels; ++c) {  // loop for channels
-              in_pos[0] += h2lambda * w2lambda * out_pos[0];
-              in_pos[wid] += h2lambda * w1lambda * out_pos[0];
-              in_pos[hid * in_w] += h1lambda * w2lambda * out_pos[0];
-              in_pos[hid * in_w + wid] += h1lambda * w1lambda * out_pos[0];
+              in_pos[0] += static_cast<T>(h2lambda * w2lambda * out_pos[0]);
+              in_pos[wid] += static_cast<T>(h2lambda * w1lambda * out_pos[0]);
+              in_pos[hid * in_w] +=
+                  static_cast<T>(h1lambda * w2lambda * out_pos[0]);
+              in_pos[hid * in_w + wid] +=
+                  static_cast<T>(h1lambda * w1lambda * out_pos[0]);
               in_pos += in_hw;
               out_pos += out_hw;
             }
diff --git a/paddle/fluid/pybind/tensor_py.h b/paddle/fluid/pybind/tensor_py.h
index 93b09ed6922b32a5531224acc470daf0d97f95bd..6da3846ac69980daac4f0fb7401b2573c21c89bf 100644
--- a/paddle/fluid/pybind/tensor_py.h
+++ b/paddle/fluid/pybind/tensor_py.h
@@ -97,7 +97,7 @@ struct CastToPyBufferImpl<true, I, ARGS...> {
 inline pybind11::buffer_info CastToPyBuffer(const framework::Tensor &tensor) {
   auto buffer_info =
       details::CastToPyBufferImpl<true, 0, float, int, double, int64_t, bool,
-                                  platform::float16>()(tensor);
+                                  uint8_t, platform::float16>()(tensor);
   return buffer_info;
 }
 
diff --git a/python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py b/python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py
index 87c11e7880e73b911f21dda77c1cc2b4850b3591..2935c71dd35b309aa05388c6371d9c6ccbf5cdbc 100644
--- a/python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py
+++ b/python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py
@@ -45,9 +45,9 @@ def bilinear_interp_np(input, out_h, out_w, out_size):
 
             out[:, :, i, j] = h2lambda*(w2lambda*input[:, :, h, w] +
                                         w1lambda*input[:, :, h, w+wid]) + \
-                              h1lambda*(w2lambda*input[:, :, h+hid, w] +
-                                        w1lambda*input[:, :, h+hid, w+wid])
-    return out.astype("float32")
+                h1lambda*(w2lambda*input[:, :, h+hid, w] +
+                          w1lambda*input[:, :, h+hid, w+wid])
+    return out.astype(input.dtype)
 
 
 class TestBilinearInterpOp(OpTest):
@@ -122,5 +122,44 @@ class TestCase6(TestBilinearInterpOp):
         self.out_size = np.array([65, 129]).astype("int32")
 
 
+class TestBilinearInterpOpUint8(OpTest):
+    def setUp(self):
+        self.out_size = None
+        self.init_test_case()
+        self.op_type = "bilinear_interp"
+        input_np = np.random.randint(
+            low=0, high=256, size=self.input_shape).astype("uint8")
+        output_np = bilinear_interp_np(input_np, self.out_h, self.out_w,
+                                       self.out_size)
+        self.inputs = {'X': input_np}
+        if self.out_size is not None:
+            self.inputs['OutSize'] = self.out_size
+        self.attrs = {'out_h': self.out_h, 'out_w': self.out_w}
+        self.outputs = {'Out': output_np}
+
+    def test_check_output(self):
+        self.check_output(atol=1)
+
+    def init_test_case(self):
+        self.input_shape = [1, 3, 9, 6]
+        self.out_h = 10
+        self.out_w = 9
+
+
+class TestCase1Uint8(TestBilinearInterpOpUint8):
+    def init_test_case(self):
+        self.input_shape = [2, 3, 128, 64]
+        self.out_h = 120
+        self.out_w = 50
+
+
+class TestCase2Uint8(TestBilinearInterpOpUint8):
+    def init_test_case(self):
+        self.input_shape = [4, 1, 7, 8]
+        self.out_h = 5
+        self.out_w = 13
+        self.out_size = np.array([6, 15]).astype("int32")
+
+
 if __name__ == "__main__":
     unittest.main()