diff --git a/mindspore/lite/src/runtime/kernel/opencl/cl/slice.cl b/mindspore/lite/src/runtime/kernel/opencl/cl/slice.cl
index 72a20cd293..50492b36d9 100644
--- a/mindspore/lite/src/runtime/kernel/opencl/cl/slice.cl
+++ b/mindspore/lite/src/runtime/kernel/opencl/cl/slice.cl
@@ -2,8 +2,8 @@
 #define INT2 int2
 #define INT4 int4
 __constant sampler_t smp_none = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_NONE | CLK_FILTER_NEAREST;
-__kernel void slice(__read_only image2d_t input, __write_only image2d_t output, INT4 input_shape, INT4 out_shape,
-                    INT4 begin, INT2 sharedNoUpdiv) {
+__kernel void slice_NHWC4(__read_only image2d_t input, __write_only image2d_t output, INT4 input_shape, INT4 out_shape,
+                          INT4 begin, INT2 sharedNoUpdiv) {
   int X = get_global_id(1);  // H
   int Y = get_global_id(2);  // W
   if (X >= out_shape.y || Y >= out_shape.z) {
@@ -16,7 +16,7 @@ __kernel void slice(__read_only image2d_t input, __write_only image2d_t output,
       WRITE_IMAGE(output, (INT2)((Y)*out_shape.w + i, (X)), result);
     }
   } else {
-    int begin_postion = sharedNoUpdiv.y % 4;
+    int begin_postion = sharedNoUpdiv.x % 4;
     FLT4 first = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z) * input_shape.w + begin.w, (X + begin.y)));
     if (begin_postion == 1) {
       for (int i = 1; i <= out_shape.w; i++) {
@@ -76,3 +76,71 @@ __kernel void slice(__read_only image2d_t input, __write_only image2d_t output,
     WRITE_IMAGE(output, (INT2)((Y)*out_shape.w + out_shape.w - 1, (X)), result_fill0);
   }
 }
+__kernel void slice_NC4HW4(__read_only image2d_t input, __write_only image2d_t output, INT4 input_shape, INT4 out_shape,
+                           INT4 begin, INT2 sharedNoUpdiv) {
+  int X = get_global_id(1);  // H
+  int Y = get_global_id(2);  // W
+  if (X >= out_shape.y || Y >= out_shape.z) {
+    return;
+  }
+  FLT4 result;
+  if (sharedNoUpdiv.x % 4 == 0) {
+    for (int i = 0; i < out_shape.w; i++) {
+      result = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (i + begin.w) * input_shape.y + (X + begin.y)));
+      WRITE_IMAGE(output, (INT2)((Y), (i * out_shape.y + X)), result);
+    }
+  } else {
+    int begin_postion = sharedNoUpdiv.x % 4;
+    FLT4 first = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (begin.w) * input_shape.y + (X + begin.y)));
+    if (begin_postion == 1) {
+      for (int i = 1; i <= out_shape.w; i++) {
+        FLT4 second = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (i + begin.w) * input_shape.y + (X + begin.y)));
+        result.x = first.y;
+        result.y = first.z;
+        result.z = first.w;
+        result.w = second.x;
+        WRITE_IMAGE(output, (INT2)((Y), ((i - 1) * out_shape.y + X)), result);
+        first.y = second.y;
+        first.z = second.z;
+        first.w = second.w;
+      }
+    } else if (begin_postion == 2) {
+      for (int i = 1; i <= out_shape.w; i++) {
+        FLT4 second = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (i + begin.w) * input_shape.y + (X + begin.y)));
+        result.x = first.z;
+        result.y = first.w;
+        result.z = second.x;
+        result.w = second.y;
+        WRITE_IMAGE(output, (INT2)((Y), ((i - 1) * out_shape.y + X)), result);
+        first.z = second.z;
+        first.w = second.w;
+      }
+    } else {
+      for (int i = 1; i <= out_shape.w; i++) {
+        FLT4 second = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (i + begin.w) * input_shape.y + (X + begin.y)));
+        result.x = first.w;
+        result.y = second.x;
+        result.z = second.y;
+        result.w = second.z;
+        WRITE_IMAGE(output, (INT2)((Y), ((i - 1) * out_shape.y + X)), result);
+        first.w = second.w;
+      }
+    }
+  }
+  // judge the line of size
+  int size = sharedNoUpdiv.y % 4;
+  FLT4 result_fill0 = (FLT4)(0.0f, 0.0f, 0.0f, 0.0f);
+  if (size == 1) {
+    result_fill0.x = result.x;
+    WRITE_IMAGE(output, (INT2)((Y), ((out_shape.w - 1) * out_shape.y + X)), result_fill0);
+  } else if (size == 2) {
+    result_fill0.x = result.x;
+    result_fill0.y = result.y;
+    WRITE_IMAGE(output, (INT2)((Y), ((out_shape.w - 1) * out_shape.y + X)), result_fill0);
+  } else if (size == 3) {
+    result_fill0.x = result.x;
+    result_fill0.y = result.y;
+    result_fill0.z = result.z;
+    WRITE_IMAGE(output, (INT2)((Y), ((out_shape.w - 1) * out_shape.y + X)), result_fill0);
+  }
+}
diff --git a/mindspore/lite/src/runtime/kernel/opencl/kernel/slice.cc b/mindspore/lite/src/runtime/kernel/opencl/kernel/slice.cc
index 6e8c76d84d..5d29e1aa93 100644
--- a/mindspore/lite/src/runtime/kernel/opencl/kernel/slice.cc
+++ b/mindspore/lite/src/runtime/kernel/opencl/kernel/slice.cc
@@ -35,7 +35,7 @@ int SliceOpenCLKernel::GetImageSize(size_t idx, std::vector<size_t> *img_size) {
     im_dst_x = out_tensors_[0]->Width() * CO4;
     im_dst_y = out_tensors_[0]->Height();
   } else {
-    im_dst_y = out_tensors_[0]->Height() * CO4;
+    im_dst_y = out_tensors_[0]->Batch() * out_tensors_[0]->Height() * CO4;
     im_dst_x = out_tensors_[0]->Width();
   }
   size_t img_dtype = CL_FLOAT;
@@ -50,18 +50,28 @@ int SliceOpenCLKernel::GetImageSize(size_t idx, std::vector<size_t> *img_size) {
   return RET_OK;
 }
 int SliceOpenCLKernel::Init() {
+  std::string kernel_name = "slice";
+  auto in_format = op_format_;
+  if (in_format != schema::Format_NHWC4 && in_format != schema::Format_NC4HW4) {
+    MS_LOG(ERROR) << "input format(" << in_format << ") "
+                  << "format not support!";
+    return RET_ERROR;
+  }
+  in_ori_format_ = in_tensors_[0]->GetFormat();
+  in_tensors_[0]->SetFormat(op_format_);
+  out_ori_format_ = out_tensors_[0]->GetFormat();
+  out_tensors_[0]->SetFormat(op_format_);
+  if (in_format == schema::Format_NC4HW4) {
+    kernel_name += "_NC4HW4";
+  } else if (in_format == schema::Format_NHWC4) {
+    kernel_name += "_NHWC4";
+  }
   std::set<std::string> build_options;
   std::string source = slice_source;
   std::string program_name = "slice";
-  std::string kernel_name = "slice";
   auto ocl_runtime = lite::opencl::OpenCLRuntime::GetInstance();
   ocl_runtime->LoadSource(program_name, source);
   ocl_runtime->BuildKernel(kernel_, program_name, kernel_name, build_options);
-  in_ori_format_ = in_tensors_[0]->GetFormat();
-  in_tensors_[0]->SetFormat(schema::Format_NHWC4);
-  out_ori_format_ = out_tensors_[0]->GetFormat();
-  out_tensors_[0]->SetFormat(schema::Format_NHWC4);
-
   return RET_OK;
 }
 
diff --git a/mindspore/lite/test/ut/src/runtime/kernel/opencl/slice_tests.cc b/mindspore/lite/test/ut/src/runtime/kernel/opencl/slice_tests.cc
index 3faefcd935..bef522530b 100644
--- a/mindspore/lite/test/ut/src/runtime/kernel/opencl/slice_tests.cc
+++ b/mindspore/lite/test/ut/src/runtime/kernel/opencl/slice_tests.cc
@@ -49,7 +49,7 @@ TEST_F(TestSliceOpenCLfp32, Slicefp32input_dim4) {
   MS_LOG(INFO) << " Read tensors from .bin ";
   std::vector<int> input_shape = {1, 19, 19, 96};
   std::vector<int> output_shape = {1, 10, 10, 13};
-  std::vector<int> begin = {0, 2, 3, 4};
+  std::vector<int> begin = {0, 2, 3, 3};
   std::vector<int> size = {1, 10, 10, 13};
   auto data_type = kNumberTypeFloat32;
   auto tensor_type = schema::NodeType_ValueNode;
@@ -68,7 +68,7 @@ TEST_F(TestSliceOpenCLfp32, Slicefp32input_dim4) {
     return;
   }
   auto *output_tensor =
-    new (std::nothrow) lite::tensor::Tensor(data_type, output_shape, schema::Format_NHWC4, tensor_type);
+    new (std::nothrow) lite::tensor::Tensor(data_type, output_shape, schema::Format_NHWC, tensor_type);
   if (output_tensor == nullptr) {
     delete tensor_data;
     MS_LOG(INFO) << " init tensor failed ";