diff --git a/src/common/types.cpp b/src/common/types.cpp
index 7edfde6f857daad252fc8ef6174417e4f639d093..cbaf289e27ffcd34eff7b113e06219a595de5257 100644
--- a/src/common/types.cpp
+++ b/src/common/types.cpp
@@ -104,6 +104,11 @@ const char *G_OP_TYPE_SEQUENCE_EXPAND = "sequence_expand";
 const char *G_OP_TYPE_SEQUENCE_POOL = "sequence_pool";
 const char *G_OP_TYPE_SEQUENCE_SOFTMAX = "sequence_softmax";
 
+const char *G_OP_TYPE_SLICE = "slice";
+const char *G_OP_TYPE_ANCHOR_GENERATOR = "anchor_generator";
+const char *G_OP_TYPE_GENERATE_PROPOSALS = "generate_proposals";
+const char *G_OP_TYPE_PSROI_POOL = "psroi_pool";
+
 std::unordered_map<
     std::string, std::pair<std::vector<std::string>, std::vector<std::string>>>
     op_input_output_key = {
@@ -193,5 +198,11 @@ std::unordered_map<
         {G_OP_TYPE_LOGICAL_XOR, {{"X", "Y"}, {"Out"}}},
         {G_OP_TYPE_LOGICAL_NOT, {{"X"}, {"Out"}}},
         {G_OP_TYPE_WRITE_TO_ARRAY, {{"X", "I"}, {"Out"}}},
-        {G_OP_TYPE_READ_FROM_ARRAY, {{"X", "I"}, {"Out"}}}};
+        {G_OP_TYPE_READ_FROM_ARRAY, {{"X", "I"}, {"Out"}}},
+        {G_OP_TYPE_SLICE, {{"Input"}, {"Out"}}},
+        {G_OP_TYPE_ANCHOR_GENERATOR, {{"Input"}, {"Anchors", "Variances"}}},
+        {G_OP_TYPE_GENERATE_PROPOSALS,
+         {{"Scores", "BboxDeltas", "ImInfo", "Anchors", "Variances"},
+          {"RpnRois", "RpnRoiProbs"}}},
+        {G_OP_TYPE_PSROI_POOL, {{"X", "ROIs"}, {"Out"}}}};
 }  // namespace paddle_mobile
diff --git a/src/common/types.h b/src/common/types.h
index 31d8020d4d3a715683f08f0d27e5463f7865abcc..267015539fa7d3ed7868f841ce22a83ed665e972 100644
--- a/src/common/types.h
+++ b/src/common/types.h
@@ -192,6 +192,11 @@ extern const char *G_OP_TYPE_SEQUENCE_EXPAND;
 extern const char *G_OP_TYPE_SEQUENCE_POOL;
 extern const char *G_OP_TYPE_SEQUENCE_SOFTMAX;
 
+extern const char *G_OP_TYPE_SLICE;
+extern const char *G_OP_TYPE_ANCHOR_GENERATOR;
+extern const char *G_OP_TYPE_GENERATE_PROPOSALS;
+extern const char *G_OP_TYPE_PSROI_POOL;
+
 extern std::unordered_map<
     std::string, std::pair<std::vector<std::string>, std::vector<std::string>>>
     op_input_output_key;
diff --git a/src/framework/load_ops.h b/src/framework/load_ops.h
index eadef7d6688291af2b44c686d78ba6b950abbbba..0727c0cb04ec93047e612863f23dd92cb131cbed 100644
--- a/src/framework/load_ops.h
+++ b/src/framework/load_ops.h
@@ -306,3 +306,12 @@ LOAD_OP1(write_to_array, CPU);
 #ifdef READ_FROM_ARRAY_OP
 LOAD_OP1(read_from_array, CPU);
 #endif
+#ifdef ANCHOR_GENERATOR_OP
+LOAD_OP1(anchor_generator, CPU);
+#endif
+#ifdef PROPOSAL_OP
+LOAD_OP1(generate_proposals, CPU);
+#endif
+#ifdef PSROI_POOL_OP
+LOAD_OP1(psroi_pool, CPU);
+#endif
diff --git a/src/operators/detection_ops.cpp b/src/operators/detection_ops.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..5ce53dca939f5725d03fa0137ee4655515d242ab
--- /dev/null
+++ b/src/operators/detection_ops.cpp
@@ -0,0 +1,81 @@
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include "operators/detection_ops.h"
+#include <vector>
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef ANCHOR_GENERATOR_OP
+template <typename DeviceType, typename T>
+void AnchorGeneratorOp<DeviceType, T>::InferShape() const {
+  const auto &input_dims = this->param_.input_->dims();
+  PADDLE_MOBILE_ENFORCE(input_dims.size() == 4, "The layout of input is NCHW.");
+  const auto &anchor_sizes = this->param_.anchor_sizes_;
+  const auto &aspect_ratios = this->param_.aspect_ratios_;
+
+  size_t num_anchors = aspect_ratios.size() * anchor_sizes.size();
+  std::vector<int64_t> dim_vec(4);
+  dim_vec[0] = input_dims[2];
+  dim_vec[1] = input_dims[3];
+  dim_vec[2] = num_anchors;
+  dim_vec[3] = 4;
+
+  this->param_.output_anchors_->Resize(framework::make_ddim(dim_vec));
+  this->param_.output_variances_->Resize(framework::make_ddim(dim_vec));
+}
+#endif
+
+#ifdef PROPOSAL_OP
+template <typename DeviceType, typename T>
+void ProposalOp<DeviceType, T>::InferShape() const {
+  this->param_.rpn_rois_->Resize(framework::make_ddim({-1, 4}));
+  this->param_.rpn_probs_->Resize(framework::make_ddim({-1, 1}));
+}
+#endif
+
+#ifdef PSROI_POOL_OP
+template <typename DeviceType, typename T>
+void PSRoiPoolOp<DeviceType, T>::InferShape() const {
+  const auto &rois_dims = this->param_.input_rois_->dims();
+  const int pooled_height = this->param_.pooled_height_;
+  const int pooled_width = this->param_.pooled_width_;
+  const int output_channels = this->param_.output_channels_;
+
+  auto out_dims = this->param_.input_x_->dims();
+  out_dims[0] = rois_dims[0];
+  out_dims[1] =
+      output_channels;  // input_dims[1] / (pooled_height * pooled_width);
+  out_dims[2] = pooled_height;
+  out_dims[3] = pooled_width;
+  this->param_.output_->Resize(out_dims);
+}
+#endif
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+namespace ops = paddle_mobile::operators;
+#ifdef PADDLE_MOBILE_CPU
+#ifdef ANCHOR_GENERATOR_OP
+REGISTER_OPERATOR_CPU(anchor_generator, ops::AnchorGeneratorOp);
+#endif
+#ifdef PROPOSAL_OP
+REGISTER_OPERATOR_CPU(generate_proposals, ops::ProposalOp);
+#endif
+#ifdef PSROI_POOL_OP
+REGISTER_OPERATOR_CPU(psroi_pool, ops::PSRoiPoolOp);
+#endif
+#endif
diff --git a/src/operators/detection_ops.h b/src/operators/detection_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..e69a2d3e7dff43b42d25ca63f67c1ce067e28df9
--- /dev/null
+++ b/src/operators/detection_ops.h
@@ -0,0 +1,38 @@
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#pragma once
+
+#include <string>
+#include "framework/operator.h"
+#include "operators/kernel/detection_kernel.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef ANCHOR_GENERATOR_OP
+DECLARE_OPERATOR(AnchorGenerator, AnchorGeneratorParam, AnchorGeneratorKernel);
+#endif
+
+#ifdef PROPOSAL_OP
+DECLARE_OPERATOR(Proposal, ProposalParam, ProposalKernel);
+#endif
+
+#ifdef PSROI_POOL_OP
+DECLARE_OPERATOR(PSRoiPool, PSRoiPoolParam, PSRoiPoolKernel);
+#endif
+
+}  // namespace operators
+}  // namespace paddle_mobile
diff --git a/src/operators/kernel/arm/anchor_generator_kernel.cpp b/src/operators/kernel/arm/anchor_generator_kernel.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..c493d78bb0955593cfd2528bd54ec115daa66916
--- /dev/null
+++ b/src/operators/kernel/arm/anchor_generator_kernel.cpp
@@ -0,0 +1,37 @@
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#ifdef ANCHOR_GENERATOR_OP
+
+#include <vector>
+#include "operators/kernel/detection_kernel.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+template <>
+bool AnchorGeneratorKernel<CPU, float>::Init(AnchorGeneratorParam<CPU> *param) {
+  return true;
+}
+
+template <>
+void AnchorGeneratorKernel<CPU, float>::Compute(
+    const AnchorGeneratorParam<CPU> &param) {
+  // TODO(hjchen2)
+}
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+#endif  // ANCHOR_GENERATOR_OP
diff --git a/src/operators/kernel/arm/proposal_kernel.cpp b/src/operators/kernel/arm/proposal_kernel.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..c9d0c18448c6b19effa7ca4d905eadfe03e6fbaf
--- /dev/null
+++ b/src/operators/kernel/arm/proposal_kernel.cpp
@@ -0,0 +1,36 @@
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#ifdef PROPOSAL_OP
+
+#include <vector>
+#include "operators/kernel/detection_kernel.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+template <>
+bool ProposalKernel<CPU, float>::Init(ProposalParam<CPU> *param) {
+  return true;
+}
+
+template <>
+void ProposalKernel<CPU, float>::Compute(const ProposalParam<CPU> &param) {
+  // TODO(hjchen2)
+}
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+#endif  // PROPOSAL_OP
diff --git a/src/operators/kernel/arm/psroi_pool_kernel.cpp b/src/operators/kernel/arm/psroi_pool_kernel.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..6ed4c77d2d7ab8ed31c8b409d54fd52036e60210
--- /dev/null
+++ b/src/operators/kernel/arm/psroi_pool_kernel.cpp
@@ -0,0 +1,36 @@
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#ifdef PSROI_POOL_OP
+
+#include <vector>
+#include "operators/kernel/detection_kernel.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+template <>
+bool PSRoiPoolKernel<CPU, float>::Init(PSRoiPoolParam<CPU> *param) {
+  return true;
+}
+
+template <>
+void PSRoiPoolKernel<CPU, float>::Compute(const PSRoiPoolParam<CPU> &param) {
+  // TODO(hjchen2)
+}
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+#endif  // PSROI_POOL_OP
diff --git a/src/operators/kernel/detection_kernel.h b/src/operators/kernel/detection_kernel.h
new file mode 100644
index 0000000000000000000000000000000000000000..c0047c23901922ae87ba188d605b0ccca8128fc0
--- /dev/null
+++ b/src/operators/kernel/detection_kernel.h
@@ -0,0 +1,140 @@
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#pragma once
+
+#include <vector>
+#include "framework/operator.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+#ifdef ANCHOR_GENERATOR_OP
+template <typename Dtype>
+class AnchorGeneratorParam : public OpParam {
+ public:
+  AnchorGeneratorParam(const VariableNameMap &inputs,
+                       const VariableNameMap &outputs,
+                       const AttributeMap &attrs, const Scope &scope) {
+    input_ = OpParam::GetVarValue<framework::Tensor>("Input", inputs, scope);
+    output_anchors_ =
+        OpParam::GetVarValue<framework::Tensor>("Anchors", outputs, scope);
+    output_variances_ =
+        OpParam::GetVarValue<framework::Tensor>("Variances", outputs, scope);
+
+    anchor_sizes_ = OpParam::GetAttr<std::vector<float>>("anchor_sizes", attrs);
+    aspect_ratios_ =
+        OpParam::GetAttr<std::vector<float>>("aspect_ratios", attrs);
+    variances_ = OpParam::GetAttr<std::vector<float>>("variances", attrs);
+    stride_ = OpParam::GetAttr<std::vector<float>>("stride", attrs);
+    offset_ = OpParam::GetAttr<float>("offset", attrs);
+  }
+
+ public:
+  // input
+  framework::Tensor *input_;
+  // outputs
+  framework::Tensor *output_anchors_;
+  framework::Tensor *output_variances_;
+
+  std::vector<float> anchor_sizes_;
+  std::vector<float> aspect_ratios_;
+  std::vector<float> variances_;
+  std::vector<float> stride_;
+  float offset_;
+};
+
+DECLARE_KERNEL(AnchorGenerator, AnchorGeneratorParam);
+#endif
+
+#ifdef PROPOSAL_OP
+template <typename Dtype>
+class ProposalParam : public OpParam {
+ public:
+  ProposalParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
+                const AttributeMap &attrs, const Scope &scope) {
+    scores_ = OpParam::GetVarValue<framework::Tensor>("Scores", inputs, scope);
+    bbox_deltas_ =
+        OpParam::GetVarValue<framework::Tensor>("BboxDeltas", inputs, scope);
+    im_info_ = OpParam::GetVarValue<framework::Tensor>("ImInfo", inputs, scope);
+    anchors_ =
+        OpParam::GetVarValue<framework::Tensor>("Anchors", inputs, scope);
+    variances_ =
+        OpParam::GetVarValue<framework::Tensor>("Variances", inputs, scope);
+
+    rpn_rois_ =
+        OpParam::GetVarValue<framework::LoDTensor>("RpnRois", outputs, scope);
+    rpn_probs_ = OpParam::GetVarValue<framework::LoDTensor>("RpnRoiProbs",
+                                                            outputs, scope);
+
+    pre_nms_topn_ = OpParam::GetAttr<int>("pre_nms_topN", attrs);
+    post_nms_topn_ = OpParam::GetAttr<int>("post_nms_topN", attrs);
+    nms_thresh_ = OpParam::GetAttr<float>("nms_thresh", attrs);
+    min_size_ = OpParam::GetAttr<float>("min_size", attrs);
+    eta_ = OpParam::GetAttr<float>("eta", attrs);
+  }
+
+ public:
+  framework::Tensor *scores_;
+  framework::Tensor *bbox_deltas_;
+  framework::Tensor *im_info_;
+  framework::Tensor *anchors_;
+  framework::Tensor *variances_;
+
+  framework::LoDTensor *rpn_rois_;
+  framework::LoDTensor *rpn_probs_;
+
+  int pre_nms_topn_;
+  int post_nms_topn_;
+  float nms_thresh_;
+  float min_size_;
+  float eta_;
+};
+
+DECLARE_KERNEL(Proposal, ProposalParam);
+#endif
+
+#ifdef PSROI_POOL_OP
+template <typename Dtype>
+class PSRoiPoolParam : public OpParam {
+ public:
+  PSRoiPoolParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
+                 const AttributeMap &attrs, const Scope &scope) {
+    input_x_ = OpParam::GetVarValue<framework::Tensor>("X", inputs, scope);
+    input_rois_ =
+        OpParam::GetVarValue<framework::LoDTensor>("ROIs", inputs, scope);
+    output_ = OpParam::GetVarValue<framework::Tensor>("Out", outputs, scope);
+
+    output_channels_ = OpParam::GetAttr<int>("output_channels", attrs);
+    pooled_height_ = OpParam::GetAttr<int>("pooled_height", attrs);
+    pooled_width_ = OpParam::GetAttr<int>("pooled_width", attrs);
+    spatial_scale_ = OpParam::GetAttr<float>("spatial_scale", attrs);
+  }
+
+ public:
+  framework::Tensor *input_x_;
+  framework::LoDTensor *input_rois_;
+  framework::Tensor *output_;
+  int output_channels_;
+  int pooled_height_;
+  int pooled_width_;
+  float spatial_scale_;
+};
+
+DECLARE_KERNEL(PSRoiPool, PSRoiPoolParam);
+#endif
+
+}  // namespace operators
+}  // namespace paddle_mobile
diff --git a/src/operators/op_param.h b/src/operators/op_param.h
index 959bfd7f743401a453ab0169ca773285e2904d4e..46d4de05f0653f4bc614984a6a322cdf75060c8a 100644
--- a/src/operators/op_param.h
+++ b/src/operators/op_param.h
@@ -1498,33 +1498,20 @@ class SliceParam : public OpParam {
  public:
   SliceParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
              const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_shape_ = InputShapeFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
-    axis_ = GetAttr<int>("axis", attrs);
-    slice_points_ = GetAttr<vector<int>>("slice_points", attrs);
-    inplace_ = GetAttr<bool>("inplace", attrs);
-  }
-
-  const RType *InputX() const { return input_x_; }
-
-  const RType *InputShape() const { return input_shape_; }
-
-  RType *Out() const { return out_; }
-
-  const int &Axis() const { return axis_; }
-
-  const vector<int> &SlicePoints() const { return slice_points_; }
+    input_ = InputFrom<GType>(inputs, scope);
+    output_ = OutFrom<GType>(outputs, scope);
 
-  const bool &Inplace() const { return inplace_; }
+    axes_ = GetAttr<std::vector<int>>("axes", attrs);
+    starts_ = GetAttr<std::vector<int>>("starts", attrs);
+    ends_ = GetAttr<std::vector<int>>("ends", attrs);
+  }
 
- private:
-  RType *input_x_;
-  RType *input_shape_;
-  RType *out_;
-  int axis_;
-  vector<int> slice_points_;
-  bool inplace_;
+ public:
+  GType *input_;
+  GType *output_;
+  std::vector<int> axes_;
+  std::vector<int> starts_;
+  std::vector<int> ends_;
 };
 #endif
 
diff --git a/test/operators/test_conv_op.cpp b/test/operators/test_conv_op.cpp
index ecc2455817d73c511190cb19d8ef5e09736fdef6..3a949daefeb89df1c72702f1207a0d0f0e652f93 100644
--- a/test/operators/test_conv_op.cpp
+++ b/test/operators/test_conv_op.cpp
@@ -228,39 +228,39 @@ int TestAll(const int in_channels, const int in_height, const int in_width,
   std::cerr << "in_channels=" << in_channels << ", in_height=" << in_height
             << ", in_width=" << in_width << ", out_channels=" << out_channels
             << ", groups=" << groups << std::endl;
-  // kernel = 3, pad = 0, stride = 1
-  std::cerr << "float, kernel=3, pad=0, stride=1" << std::endl;
-  paddle_mobile::TestConvOp<float, float, 3, 0, 1>(
-      in_channels, in_height, in_width, out_channels, groups);
-  // kernel = 3, pad = 1, stride = 1
-  std::cerr << "float, kernel=3, pad=1, stride=1" << std::endl;
-  paddle_mobile::TestConvOp<float, float, 3, 1, 1>(
-      in_channels, in_height, in_width, out_channels, groups);
-  // kernel = 3, pad = 2, stride = 1
-  std::cerr << "float, kernel=3, pad=2, stride=1" << std::endl;
-  paddle_mobile::TestConvOp<float, float, 3, 2, 1>(
-      in_channels, in_height, in_width, out_channels, groups);
-  // kernel = 3, pad = 5, stride = 1
-  std::cerr << "float, kernel=3, pad=5, stride=1" << std::endl;
-  paddle_mobile::TestConvOp<float, float, 3, 5, 1>(
-      in_channels, in_height, in_width, out_channels, groups);
-
-  // kernel = 3, pad = 0, stride = 2
-  std::cerr << "float, kernel=3, pad=0, stride=2" << std::endl;
-  paddle_mobile::TestConvOp<float, float, 3, 0, 2>(
-      in_channels, in_height, in_width, out_channels, groups);
-  // kernel = 3, pad = 1, stride = 2
-  std::cerr << "float, kernel=3, pad=1, stride=2" << std::endl;
-  paddle_mobile::TestConvOp<float, float, 3, 1, 2>(
-      in_channels, in_height, in_width, out_channels, groups);
-  // kernel = 3, pad = 2, stride = 2
-  std::cerr << "float, kernel=3, pad=2, stride=2" << std::endl;
-  paddle_mobile::TestConvOp<float, float, 3, 2, 2>(
-      in_channels, in_height, in_width, out_channels, groups);
-  // kernel = 3, pad = 5, stride = 2
-  std::cerr << "float, kernel=3, pad=5, stride=2" << std::endl;
-  paddle_mobile::TestConvOp<float, float, 3, 5, 2>(
-      in_channels, in_height, in_width, out_channels, groups);
+  //  // kernel = 3, pad = 0, stride = 1
+  //  std::cerr << "float, kernel=3, pad=0, stride=1" << std::endl;
+  //  paddle_mobile::TestConvOp<float, float, 3, 0, 1>(
+  //      in_channels, in_height, in_width, out_channels, groups);
+  //  // kernel = 3, pad = 1, stride = 1
+  //  std::cerr << "float, kernel=3, pad=1, stride=1" << std::endl;
+  //  paddle_mobile::TestConvOp<float, float, 3, 1, 1>(
+  //      in_channels, in_height, in_width, out_channels, groups);
+  //  // kernel = 3, pad = 2, stride = 1
+  //  std::cerr << "float, kernel=3, pad=2, stride=1" << std::endl;
+  //  paddle_mobile::TestConvOp<float, float, 3, 2, 1>(
+  //      in_channels, in_height, in_width, out_channels, groups);
+  //  // kernel = 3, pad = 5, stride = 1
+  //  std::cerr << "float, kernel=3, pad=5, stride=1" << std::endl;
+  //  paddle_mobile::TestConvOp<float, float, 3, 5, 1>(
+  //      in_channels, in_height, in_width, out_channels, groups);
+  //
+  //  // kernel = 3, pad = 0, stride = 2
+  //  std::cerr << "float, kernel=3, pad=0, stride=2" << std::endl;
+  //  paddle_mobile::TestConvOp<float, float, 3, 0, 2>(
+  //      in_channels, in_height, in_width, out_channels, groups);
+  //  // kernel = 3, pad = 1, stride = 2
+  //  std::cerr << "float, kernel=3, pad=1, stride=2" << std::endl;
+  //  paddle_mobile::TestConvOp<float, float, 3, 1, 2>(
+  //      in_channels, in_height, in_width, out_channels, groups);
+  //  // kernel = 3, pad = 2, stride = 2
+  //  std::cerr << "float, kernel=3, pad=2, stride=2" << std::endl;
+  //  paddle_mobile::TestConvOp<float, float, 3, 2, 2>(
+  //      in_channels, in_height, in_width, out_channels, groups);
+  //  // kernel = 3, pad = 5, stride = 2
+  //  std::cerr << "float, kernel=3, pad=5, stride=2" << std::endl;
+  //  paddle_mobile::TestConvOp<float, float, 3, 5, 2>(
+  //      in_channels, in_height, in_width, out_channels, groups);
 
 #ifndef __aarch64__
   // kernel = 3, pad = 0, stride = 1
diff --git a/tools/op.cmake b/tools/op.cmake
index 65afb07054e107dfc29d27c7ce547f926b318df0..0f37eb7e98f053f519a1fb0d6a2829b33e82e45a 100644
--- a/tools/op.cmake
+++ b/tools/op.cmake
@@ -288,6 +288,9 @@ if(NOT FOUND_MATCH)
   set(WHILE_OP ON)
   set(WRITE_TO_ARRAY_OP ON)
   set(READ_FROM_ARRAY_OP ON)
+  set(ANCHOR_GENERATOR_OP ON)
+  set(PROPOSAL_OP ON)
+  set(PSROI_POOL_OP ON)
 endif()
 
   # option(BATCHNORM_OP "" ON)
@@ -572,3 +575,13 @@ endif()
 if (READ_FROM_ARRAY_OP)
   add_definitions(-DREAD_FROM_ARRAY_OP)
 endif()
+
+if (ANCHOR_GENERATOR_OP)
+  add_definitions(-DANCHOR_GENERATOR_OP)
+endif()
+if (PROPOSAL_OP)
+  add_definitions(-DPROPOSAL_OP)
+endif()
+if (PSROI_POOL_OP)
+  add_definitions(-DPSROI_POOL_OP)
+endif()