diff --git a/paddle/phi/kernels/gpu/arange_kernel.cu b/paddle/phi/kernels/gpu/arange_kernel.cu
index cb8d30186ff5839ebdae90da11e69c9a91437e82..dc75e1b8da122cb7986e06050c82670c3f89f6d7 100644
--- a/paddle/phi/kernels/gpu/arange_kernel.cu
+++ b/paddle/phi/kernels/gpu/arange_kernel.cu
@@ -15,6 +15,9 @@
 #include "paddle/phi/kernels/arange_kernel.h"
 
 #include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/common/amp_type_traits.h"
+#include "paddle/phi/common/bfloat16.h"
+#include "paddle/phi/common/float16.h"
 #include "paddle/phi/core/enforce.h"
 #include "paddle/phi/core/errors.h"
 #include "paddle/phi/core/kernel_registry.h"
@@ -23,9 +26,11 @@
 
 namespace phi {
 
-template <typename T>
-__global__ void Range(T start, T step, int64_t size, T* out) {
-  CUDA_KERNEL_LOOP(index, size) { out[index] = start + step * index; }
+template <typename T, typename OUT_TYPE>
+__global__ void Range(T start, T step, int64_t size, OUT_TYPE* out) {
+  CUDA_KERNEL_LOOP(index, size) {
+    out[index] = static_cast<OUT_TYPE>(start + step * index);
+  }
 }
 
 template <typename T, typename Context>
@@ -34,9 +39,11 @@ void ArangeKernel(const Context& dev_ctx,
                   const DenseTensor& end,
                   const DenseTensor& step,
                   DenseTensor* out) {
-  T start_value = GetValue<T, Context>(dev_ctx, start);
-  T end_value = GetValue<T, Context>(dev_ctx, end);
-  T step_value = GetValue<T, Context>(dev_ctx, step);
+  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
+  MPType start_value =
+      static_cast<MPType>(GetValue<T, Context>(dev_ctx, start));
+  MPType end_value = static_cast<MPType>(GetValue<T, Context>(dev_ctx, end));
+  MPType step_value = static_cast<MPType>(GetValue<T, Context>(dev_ctx, step));
 
   int64_t size = 0;
   phi::funcs::GetSize(start_value, end_value, step_value, &size);
@@ -49,7 +56,8 @@ void ArangeKernel(const Context& dev_ctx,
     return;
   }
   int64_t grid = (size + block - 1) / block;
-  Range<T><<<grid, block, 0, stream>>>(start_value, step_value, size, out_data);
+  Range<MPType, T>
+      <<<grid, block, 0, stream>>>(start_value, step_value, size, out_data);
 }
 
 template <typename T, typename Context>
@@ -78,8 +86,16 @@ template decltype(ArangeNullaryKernel<int, phi::GPUContext>)
     ArangeNullaryKernel;
 }  // namespace phi
 
-PD_REGISTER_KERNEL(
-    arange, GPU, ALL_LAYOUT, phi::ArangeKernel, float, double, int64_t, int) {
+PD_REGISTER_KERNEL(arange,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::ArangeKernel,
+                   float,
+                   double,
+                   int64_t,
+                   int,
+                   phi::dtype::float16,
+                   phi::dtype::bfloat16) {
   kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
   kernel->InputAt(1).SetBackend(phi::Backend::ALL_BACKEND);
   kernel->InputAt(2).SetBackend(phi::Backend::ALL_BACKEND);
diff --git a/python/paddle/fluid/tests/unittests/test_arange.py b/python/paddle/fluid/tests/unittests/test_arange.py
index 1c20d62c0736f221742e761c4a6b6c125071260d..a0d1ddc8b9eecccfbd38159e8ae274bebf40bbbb 100644
--- a/python/paddle/fluid/tests/unittests/test_arange.py
+++ b/python/paddle/fluid/tests/unittests/test_arange.py
@@ -15,7 +15,7 @@
 import unittest
 
 import numpy as np
-from eager_op_test import OpTest
+from eager_op_test import OpTest, convert_float_to_uint16
 
 import paddle
 from paddle.fluid import core
@@ -58,6 +58,50 @@ class TestFloatArangeOp(TestArangeOp):
         self.case = (0, 5, 1)
 
 
+class TestFloa16ArangeOp(TestArangeOp):
+    def init_config(self):
+        self.dtype = np.float16
+        self.python_api = paddle.arange
+        self.case = (0, 5, 1)
+
+    def test_check_output(self):
+        self.check_output()
+
+
+@unittest.skipIf(
+    not core.is_compiled_with_cuda()
+    or not core.is_bfloat16_supported(core.CUDAPlace(0)),
+    "core is not complied with CUDA and not support the bfloat16",
+)
+class TestBFloat16ArangeOp(OpTest):
+    def setUp(self):
+        self.op_type = "range"
+        self.init_config()
+        self.inputs = {
+            'Start': convert_float_to_uint16(self.start),
+            'End': convert_float_to_uint16(self.end),
+            'Step': convert_float_to_uint16(self.step),
+        }
+
+        self.outputs = {
+            'Out': convert_float_to_uint16(
+                np.arange(self.start, self.end, self.step)
+            )
+        }
+
+    def init_config(self):
+        self.dtype = np.uint16
+        self.python_api = arange_wrapper
+        self.case = (0, 5, 1)
+        self.start = np.array([self.case[0]]).astype(np.float32)
+        self.end = np.array([self.case[1]]).astype(np.float32)
+        self.step = np.array([self.case[2]]).astype(np.float32)
+
+    def test_check_output(self):
+        place = core.CUDAPlace(0)
+        self.check_output_with_place(place)
+
+
 class TestInt32ArangeOp(TestArangeOp):
     def init_config(self):
         self.dtype = np.int32
diff --git a/python/paddle/tensor/creation.py b/python/paddle/tensor/creation.py
index d0fbe0d393a5e9314c15335b27cd0b27a423218a..ff74b4bc944973e4e5684458049f0b29c1950e6b 100644
--- a/python/paddle/tensor/creation.py
+++ b/python/paddle/tensor/creation.py
@@ -1233,7 +1233,7 @@ def arange(start=0, end=None, step=1, dtype=None, name=None):
         check_dtype(
             dtype,
             'dtype',
-            ['float32', 'float64', 'int32', 'int64'],
+            ['float32', 'float64', 'int32', 'int64', 'float16', 'uint16'],
             'range/arange',
         )
         helper = LayerHelper('range', **locals())