diff --git a/paddle/phi/kernels/cpu/strided_slice_grad_kernel.cc b/paddle/phi/kernels/cpu/strided_slice_grad_kernel.cc
index e6c812cf6bd5aa3b4d5119b380986ecc2802e073..21ef18dbd90cfac3c54884a936a5271c989aae5b 100644
--- a/paddle/phi/kernels/cpu/strided_slice_grad_kernel.cc
+++ b/paddle/phi/kernels/cpu/strided_slice_grad_kernel.cc
@@ -28,6 +28,7 @@ PD_REGISTER_KERNEL(strided_slice_raw_grad,
                    int64_t,
                    float,
                    double,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
 
@@ -40,5 +41,6 @@ PD_REGISTER_KERNEL(strided_slice_array_grad,
                    int64_t,
                    float,
                    double,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
diff --git a/paddle/phi/kernels/cpu/strided_slice_kernel.cc b/paddle/phi/kernels/cpu/strided_slice_kernel.cc
index d0aa7b2f4cee62e2611f7a509053142353d746a9..e9a1671bcc4c913bca94783a07676ade716fc4d7 100644
--- a/paddle/phi/kernels/cpu/strided_slice_kernel.cc
+++ b/paddle/phi/kernels/cpu/strided_slice_kernel.cc
@@ -28,6 +28,7 @@ PD_REGISTER_KERNEL(strided_slice_raw,
                    int64_t,
                    float,
                    double,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
 
@@ -40,5 +41,6 @@ PD_REGISTER_KERNEL(strided_slice_array,
                    int64_t,
                    float,
                    double,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
diff --git a/paddle/phi/kernels/gpu/strided_slice_grad_kernel.cu b/paddle/phi/kernels/gpu/strided_slice_grad_kernel.cu
index 6c5a99e9095b63e09dd208506afb038b74901618..08ac3da93bb49d36b2409ac306f3f775137546c7 100644
--- a/paddle/phi/kernels/gpu/strided_slice_grad_kernel.cu
+++ b/paddle/phi/kernels/gpu/strided_slice_grad_kernel.cu
@@ -29,6 +29,7 @@ PD_REGISTER_KERNEL(strided_slice_raw_grad,
                    float,
                    double,
                    phi::dtype::float16,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
 
@@ -42,5 +43,6 @@ PD_REGISTER_KERNEL(strided_slice_array_grad,
                    float,
                    double,
                    phi::dtype::float16,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
diff --git a/paddle/phi/kernels/gpu/strided_slice_kernel.cu b/paddle/phi/kernels/gpu/strided_slice_kernel.cu
index 786ccb287c2719c8b6da433b626ca271c7f06710..9b88322e20a06ecba3af390a7d970d84539acde7 100644
--- a/paddle/phi/kernels/gpu/strided_slice_kernel.cu
+++ b/paddle/phi/kernels/gpu/strided_slice_kernel.cu
@@ -29,6 +29,7 @@ PD_REGISTER_KERNEL(strided_slice_raw,
                    float,
                    double,
                    phi::dtype::float16,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
 
@@ -42,5 +43,6 @@ PD_REGISTER_KERNEL(strided_slice_array,
                    float,
                    double,
                    phi::dtype::float16,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
diff --git a/paddle/phi/kernels/strided_slice_grad_kernel.cc b/paddle/phi/kernels/strided_slice_grad_kernel.cc
index af8994cd8c51571e039a51c09d87b725987e05d0..7582f751bf16a55d1ae0a00e646fa15fcc2818c6 100644
--- a/paddle/phi/kernels/strided_slice_grad_kernel.cc
+++ b/paddle/phi/kernels/strided_slice_grad_kernel.cc
@@ -52,6 +52,7 @@ PD_REGISTER_KERNEL(strided_slice_grad,
                    int64_t,
                    float,
                    double,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
@@ -65,6 +66,7 @@ PD_REGISTER_KERNEL(strided_slice_grad,
                    float,
                    double,
                    phi::dtype::float16,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
 #endif
diff --git a/paddle/phi/kernels/strided_slice_kernel.cc b/paddle/phi/kernels/strided_slice_kernel.cc
index 3ceb8057235df5162d4f9af1d2383fb16533ca33..68377dbe8468ed0234e2e3a750a7c7712a58e7ec 100644
--- a/paddle/phi/kernels/strided_slice_kernel.cc
+++ b/paddle/phi/kernels/strided_slice_kernel.cc
@@ -43,6 +43,7 @@ PD_REGISTER_KERNEL(strided_slice,
                    int64_t,
                    float,
                    double,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
@@ -56,6 +57,7 @@ PD_REGISTER_KERNEL(strided_slice,
                    float,
                    double,
                    phi::dtype::float16,
+                   phi::dtype::bfloat16,
                    phi::dtype::complex<float>,
                    phi::dtype::complex<double>) {}
 #endif
diff --git a/python/paddle/fluid/tests/unittests/test_strided_slice_op.py b/python/paddle/fluid/tests/unittests/test_strided_slice_op.py
index dc5397fb4f4891cfc9f5e9440ac59d777e98ed67..de5a1bcb19a0f99474d2847aacf4a24b9533ecab 100644
--- a/python/paddle/fluid/tests/unittests/test_strided_slice_op.py
+++ b/python/paddle/fluid/tests/unittests/test_strided_slice_op.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 import fluid
@@ -600,7 +600,7 @@ class TestStridedSliceAPI(unittest.TestCase):
             feed={
                 "x": input,
                 'starts': np.array([-3, 0, 2]).astype("int32"),
-                'ends': np.array([3, 2147483648, -1]).astype("int64"),
+                'ends': np.array([3, 2147483647, -1]).astype("int32"),
                 'strides': np.array([1, 1, 1]).astype("int32"),
             },
             fetch_list=[out_1, out_2, out_3, out_4, out_5, out_6, out_7],
@@ -1011,5 +1011,77 @@ class TestStridedSliceFloat16(unittest.TestCase):
         np.testing.assert_allclose(x_grad_np_fp16, x_grad_np_fp32)
 
 
+class TestStrideSliceFP16Op(OpTest):
+    def setUp(self):
+        self.initTestCase()
+        self.op_type = 'strided_slice'
+        self.dtype = np.float16
+        self.python_api = paddle.strided_slice
+        self.output = strided_slice_native_forward(
+            self.input, self.axes, self.starts, self.ends, self.strides
+        )
+
+        self.inputs = {'Input': self.input.astype(self.dtype)}
+        self.outputs = {'Out': self.output}
+        self.attrs = {
+            'axes': self.axes,
+            'starts': self.starts,
+            'ends': self.ends,
+            'strides': self.strides,
+            'infer_flags': self.infer_flags,
+        }
+
+    def test_check_output(self):
+        self.check_output(check_eager=True)
+
+    def test_check_grad(self):
+        self.check_grad({'Input'}, 'Out', check_eager=True)
+
+    def initTestCase(self):
+        self.input = np.random.rand(100)
+        self.axes = [0]
+        self.starts = [-4]
+        self.ends = [-3]
+        self.strides = [1]
+        self.infer_flags = [1]
+
+
+class TestStrideSliceBF16Op(OpTest):
+    def setUp(self):
+        self.initTestCase()
+        self.op_type = 'strided_slice'
+        self.dtype = np.uint16
+        self.python_api = paddle.strided_slice
+        self.output = strided_slice_native_forward(
+            self.input, self.axes, self.starts, self.ends, self.strides
+        )
+
+        self.inputs = {
+            'Input': convert_float_to_uint16(self.input.astype(np.float32))
+        }
+        self.outputs = {'Out': convert_float_to_uint16(self.output)}
+        self.attrs = {
+            'axes': self.axes,
+            'starts': self.starts,
+            'ends': self.ends,
+            'strides': self.strides,
+            'infer_flags': self.infer_flags,
+        }
+
+    def test_check_output(self):
+        self.check_output(check_eager=True)
+
+    def test_check_grad(self):
+        self.check_grad({'Input'}, 'Out', check_eager=True)
+
+    def initTestCase(self):
+        self.input = np.random.rand(100)
+        self.axes = [0]
+        self.starts = [-4]
+        self.ends = [-3]
+        self.strides = [1]
+        self.infer_flags = [1]
+
+
 if __name__ == "__main__":
     unittest.main()