make fc model works

load_model
add scale, mul Op

paddle/fluid/lite/CMakeLists.txt

@@ -5,3 +5,4 @@ add_subdirectory(operators)
 add_subdirectory(kernels)
 add_subdirectory(model_parser)
 add_subdirectory(utils)
+add_subdirectory(api)

paddle/fluid/lite/api/CMakeLists.txt

+cc_library(cxx_api_lite SRCS cxx_api.h DEPS scope_lite executor_lite host_kernels ops_lite)
+
+cc_test(test_cxx_api_lite SRCS cxx_api_test.cc DEPS cxx_api_lite model_parser_lite)

paddle/fluid/lite/api/cxx_api.cc

+// Copyright (c) 2019 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.
+
+//
+// Created by chunwei on 19-4-11.
+//
+
+#include "paddle/fluid/lite/api/cxx_api.h"

paddle/fluid/lite/api/cxx_api.h

+// Copyright (c) 2019 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 "paddle/fluid/lite/model_parser/model_parser.h"
+
+namespace paddle {
+namespace lite {}  // namespace lite
+}  // namespace paddle

paddle/fluid/lite/api/cxx_api_test.cc

+// Copyright (c) 2019 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 "paddle/fluid/lite/api/cxx_api.h"
+#include <gtest/gtest.h>
+#include "paddle/fluid/lite/core/executor.h"
+#include "paddle/fluid/lite/core/op_registry.h"
+
+namespace paddle {
+namespace lite {
+
+TEST(CXXApi, test) {
+  Scope scope;
+  framework::proto::ProgramDesc prog;
+  LoadModel("/home/chunwei/project2/models/model2", &scope, &prog);
+  framework::ProgramDesc prog_desc(prog);
+
+  lite::Executor executor(&scope,
+                          {OpLite::Place{TARGET(kHost), PRECISION(kFloat)}});
+
+  auto x = scope.Var("a")->GetMutable<Tensor>();
+  x->Resize({100, 100});
+  x->mutable_data<float>();
+
+  executor.PrepareWorkspace(prog_desc, &scope);
+  executor.Build(prog_desc);
+  executor.Run();
+}
+
+}  // namespace lite
+}  // namespace paddle
+
+USE_LITE_OP(mul);
+USE_LITE_OP(fc);
+USE_LITE_OP(scale);
+USE_LITE_KERNEL(fc, kHost, kFloat);
+USE_LITE_KERNEL(mul, kHost, kFloat);
+USE_LITE_KERNEL(scale, kHost, kFloat);

paddle/fluid/lite/core/executor.h

@@ -47,6 +47,7 @@ class Executor {
     // Create operators.
     for (auto* op_desc : program.Block(0).AllOps()) {
       auto op_type = op_desc->Type();
+      if (op_type == "feed" || op_type == "fetch") continue;
       LOG(INFO) << "create Op [" << op_type << "]";
       ops_.emplace_back(LiteOpRegistry::Global().Create(op_type));
       // pick initial kernel

paddle/fluid/lite/core/kernel.h

@@ -67,6 +67,9 @@ class OpKernel : public KernelBase {
 
   void Touch() {}
 
+  TargetType target() const override { return Target; }
+  PrecisionType precision() const override { return Precision; }
+
   OpKernel() = default;
 
   virtual ~OpKernel() = default;

paddle/fluid/lite/core/op_lite.cc

@@ -20,12 +20,13 @@ namespace paddle {
 namespace lite {
 
 std::vector<std::unique_ptr<KernelBase>> OpLite::CreateKernels(
-    const std::vector<OpLite::Place> &places) {
+    const std::vector<OpLite::Place> &places, const std::string &kernel_type) {
   std::vector<std::unique_ptr<KernelBase>> kernels;
   CHECK(!op_type_.empty()) << "op_type_ should be set first";
 
   for (auto place : places) {
-    kernels.emplace_back(KernelRegistry::Global().Create(op_type_, place.target,
+    kernels.emplace_back(KernelRegistry::Global().Create(
+        (kernel_type.empty() ? op_type_ : kernel_type), place.target,
         place.precision));
   }
 

paddle/fluid/lite/core/op_lite.h

@@ -119,7 +119,8 @@ class OpLite : public Registry {
 
   // Create all the kernels for the valid targets.
   std::vector<std::unique_ptr<KernelBase>> CreateKernels(
-      const std::vector<Place> &places);
+      const std::vector<OpLite::Place> &places,
+      const std::string &kernel_type = "");
 
  protected:
   std::unique_ptr<OpContext> op_context_;

paddle/fluid/lite/core/tensor.cc

@@ -32,8 +32,8 @@ std::ostream &operator<<(std::ostream &os, const DDim &dims) {
 }
 
 std::ostream &operator<<(std::ostream &os, const Tensor &tensor) {
-  os << "Tensor:" << std::endl;
-  os << "dim: " << tensor.dims();
+  os << "Tensor:" << '\n';
+  os << "dim: " << tensor.dims() << '\n';
   for (int i = 0; i < product(tensor.dims()); i++) {
     os << tensor.data<float>()[i] << " ";
   }

paddle/fluid/lite/core/types.h

@@ -25,6 +25,21 @@ using any_context_t = variant<Context<TARGET(kX86)>,  //
                               Context<TARGET(kCUDA)>  //
                               >;
 
+struct dim2 {
+  int x{};
+  int y{};
+
+  dim2(int x, int y) : x(x), y(y) {}
+};
+
+struct dim3 {
+  int x{};
+  int y{};
+  int z{};
+
+  dim3(int x, int y, int z) : x(x), y(y), z(z) {}
+};
+
 }  // namespace core
 }  // namespace lite
 }  // namespace paddle

paddle/fluid/lite/kernels/host/CMakeLists.txt

 cc_library(fc_compute_host SRCS fc_compute.cc DEPS tensor_lite)
 cc_library(relu_compute_host SRCS relu_compute.cc DEPS tensor_lite)
+cc_library(mul_compute_host SRCS mul_compute.cc DEPS tensor_lite)
+cc_library(scale_compute_host SRCS scale_compute.cc DEPS tensor_lite)
 
 cc_library(host_kernels DEPS
         fc_compute_host
-        relu_compute_host)
+        relu_compute_host
+        mul_compute_host
+        scale_compute_host
+        )
 
 cc_test(test_fc_compute SRCS fc_compute_test.cc DEPS fc_compute_host fc_op_lite)

paddle/fluid/lite/kernels/host/mul_compute.cc

+// Copyright (c) 2019 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 <Eigen/Core>
+#include "paddle/fluid/lite/core/kernel.h"
+#include "paddle/fluid/lite/core/op_registry.h"
+#include "paddle/fluid/lite/core/types.h"
+
+namespace paddle {
+namespace lite {
+namespace kernels {
+namespace host {
+
+template <typename T>
+void mul_compute_eigen(const T* x, int x_h, int x_w, const T* y, int y_h,
+                       int y_w, T* out) {
+  using matrix_t =
+      Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>;
+
+  Eigen::Map<const matrix_t> X(x, x_h, x_w);
+  Eigen::Map<const matrix_t> Y(y, y_h, y_w);
+  Eigen::Map<matrix_t> Out(out, x_h, y_w);
+
+  Out = X * Y;
+}
+
+class MulCompute : public OpKernel<TARGET(kHost), PRECISION(kFloat)> {
+ public:
+  using param_t = operators::MulParam;
+
+  void Run() override {
+    auto& theparam = param<operators::MulParam>();
+    core::dim2 x_shape(
+        {product(theparam.x->dims().begin(),
+                 theparam.x->dims().begin() + theparam.x_num_col_dims),
+         product(theparam.x->dims().begin() + theparam.x_num_col_dims,
+                 theparam.x->dims().end())});
+
+    core::dim2 y_shape(
+        {product(theparam.y->dims().begin(),
+                 theparam.y->dims().begin() + theparam.x_num_col_dims),
+         product(theparam.y->dims().begin() + theparam.x_num_col_dims,
+                 theparam.y->dims().end())});
+
+    mul_compute_eigen(theparam.x->data<float>(), x_shape.x, x_shape.y,  //
+                      theparam.y->data<float>(), y_shape.x, y_shape.y,  //
+                      theparam.output->mutable_data<float>());
+  }
+
+  virtual ~MulCompute() = default;
+};
+
+}  // namespace host
+}  // namespace kernels
+}  // namespace lite
+}  // namespace paddle
+
+REGISTER_LITE_KERNEL(mul, kHost, kFloat,
+                     paddle::lite::kernels::host::MulCompute);

paddle/fluid/lite/kernels/host/scale_compute.cc

+// Copyright (c) 2019 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 <Eigen/Core>
+#include "paddle/fluid/lite/core/kernel.h"
+#include "paddle/fluid/lite/core/op_registry.h"
+#include "paddle/fluid/lite/core/types.h"
+
+namespace paddle {
+namespace lite {
+namespace kernels {
+namespace host {
+
+template <typename T>
+void scale_compute(const T* x, T* out, int size, float scale, float bias,
+                   bool bias_before) {
+  if (bias_before) bias *= scale;
+  for (int i = 0; i < size; i++) {
+    out[i] = x[i] * scale + bias;
+  }
+}
+
+class ScaleCompute : public OpKernel<TARGET(kHost), PRECISION(kFloat)> {
+ public:
+  using param_t = operators::MulParam;
+
+  void Run() override {
+    auto& theparam = param<operators::ScaleParam>();
+    scale_compute(theparam.x->data<float>(), theparam.x->mutable_data<float>(),
+                  product(theparam.x->dims()), theparam.scale, theparam.bias,
+                  theparam.bias_after_scale);
+  }
+
+  virtual ~ScaleCompute() = default;
+};
+
+}  // namespace host
+}  // namespace kernels
+}  // namespace lite
+}  // namespace paddle
+
+REGISTER_LITE_KERNEL(scale, kHost, kFloat,
+                     paddle::lite::kernels::host::ScaleCompute);

paddle/fluid/lite/model_parser/CMakeLists.txt

-cc_library(model_parser_lite SRCS model_parser.cc DEPS variable_lite scope_lite)
+cc_library(model_parser_lite SRCS model_parser.cc DEPS variable_lite scope_lite tensor_lite scope_lite)
 cc_library(runtime_lite SRCS runtime.cc)
 cc_test(test_model_parser_lite SRCS model_parser_test.cc DEPS model_parser_lite)

paddle/fluid/lite/model_parser/model_parser.cc

@@ -138,15 +138,27 @@ void LoadParam(const std::string &path, Variable *out) {
   LoadLoDTensor(fin, out);
 }
 
-void LoadModel(const std::string &model_dir, Scope *scope) {
+void LoadModel(const std::string &model_dir, Scope *scope,
+               framework::proto::ProgramDesc *prog) {
   const std::string prog_path = model_dir + "/__model__";
-  auto prog = LoadProgram(prog_path);
+  *prog = *LoadProgram(prog_path);
 
   auto main_block = prog->blocks(0);
   for (auto &var : main_block.vars()) {
+    if (var.name() == "feed" || var.name() == "fetch" || !var.persistable())
+      continue;
+
     std::string file_path = model_dir + "/" + var.name();
+    LOG(INFO) << "reading weight " << var.name();
+
     std::ifstream file(file_path);
+    switch (var.type().type()) {
+      case framework::proto::VarType_Type_LOD_TENSOR:
         LoadLoDTensor(file, scope->Var(var.name()));
+        break;
+      default:
+        CHECK(false) << "unknown weight type";
+    }
   }
 }
 

paddle/fluid/lite/model_parser/model_parser.h

@@ -19,6 +19,7 @@
 #include <string>
 #include <vector>
 #include "paddle/fluid/framework/framework.pb.h"
+#include "paddle/fluid/lite/core/scope.h"
 #include "paddle/fluid/lite/core/tensor.h"
 #include "paddle/fluid/lite/core/variable.h"
 
@@ -36,7 +37,8 @@ void LoadParams(const std::string& path);
 void LoadParam(const std::string& path, Variable* out);
 
 // Read a model and files of parameters.
-void LoadModel(const std::string& model_dir);
+void LoadModel(const std::string& model_dir, Scope* scope,
+               framework::proto::ProgramDesc* prog);
 
 }  // namespace lite
 }  // namespace paddle

paddle/fluid/lite/model_parser/model_parser_test.cc

@@ -14,6 +14,7 @@
 
 #include "paddle/fluid/lite/model_parser/model_parser.h"
 #include <gtest/gtest.h>
+#include "paddle/fluid/lite/core/scope.h"
 
 namespace paddle {
 namespace lite {
@@ -23,5 +24,20 @@ TEST(ModelParser, LoadProgram) {
       "/home/chunwei/project2/models/fc/fluid_checkpoint/__model__");
 }
 
+TEST(ModelParser, LoadParam) {
+  Scope scope;
+  auto* v = scope.Var("xxx");
+  LoadParam("/home/chunwei/project2/models/fc/fluid_checkpoint/b1", v);
+  const auto& t = v->Get<Tensor>();
+  LOG(INFO) << "loaded\n";
+  LOG(INFO) << t;
+}
+
+TEST(ModelParser, LoadModel) {
+  Scope scope;
+  framework::proto::ProgramDesc prog;
+  LoadModel("/home/chunwei/project2/models/fc/fluid_checkpoint", &scope, &prog);
+}
+
 }  // namespace lite
 }  // namespace paddle

paddle/fluid/lite/operators/CMakeLists.txt

 cc_library(fc_op_lite SRCS fc_op.cc DEPS op_lite op_params_lite tensor_lite proto_desc)
 cc_library(relu_op_lite SRCS relu_op.cc DEPS op_lite)
+cc_library(mul_op_lite SRCS mul_op.cc DEPS op_lite)
+cc_library(scale_op_lite SRCS scale_op.cc DEPS op_lite)
+
 cc_library(op_params_lite SRCS op_params.cc DEPS tensor_lite)
 cc_library(ops_lite DEPS
         fc_op_lite
-        relu_op_lite)
+        relu_op_lite
+        mul_op_lite
+        scale_op_lite
+        )
 
 cc_test(test_fc_op_lite SRCS fc_op_test.cc DEPS fc_op_lite fc_compute_host)

paddle/fluid/lite/operators/fc_op.h

@@ -66,11 +66,6 @@ class FcOpLite : public OpLite {
 
   std::string DebugString() const override { return "fc"; }
 
-  void StaticPickKernel(const std::vector<Place> &valid_targets) override {
-    auto kernels = CreateKernels(valid_targets);
-    kernel_ = std::move(kernels.front());
-  }
-
  private:
   mutable FcParam param_;
 };

paddle/fluid/lite/operators/mul_op.cc

+// Copyright (c) 2019 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 "paddle/fluid/lite/operators/mul_op.h"
+#include "paddle/fluid/lite/core/op_registry.h"
+
+namespace paddle {
+namespace lite {
+namespace operators {
+
+bool MulOpLite::CheckShape() const {
+  CHECK_OR_FALSE(param_.x);
+  CHECK_OR_FALSE(param_.y);
+  CHECK_OR_FALSE(param_.output);
+  // bias is optional.
+
+  const auto x_dims = param_.x->dims();
+  const auto y_dims = param_.y->dims();
+
+  CHECK_EQ_OR_FALSE(y_dims.size(), 2UL);
+  CHECK_GT_OR_FALSE(x_dims.size(), static_cast<size_t>(param_.x_num_col_dims));
+
+  return true;
+}
+
+bool MulOpLite::InferShape() const {
+  const auto x_dims = param_.x->dims();
+  const auto y_dims = param_.y->dims();
+
+  // Set output dims
+  std::vector<int64_t> out_dims(param_.x_num_col_dims + 1, 0);
+  for (int i = 0; i < param_.x_num_col_dims; ++i) {
+    out_dims[i] = x_dims[i];
+  }
+  out_dims.back() = y_dims[1];
+  param_.output->Resize(out_dims);
+
+  // share LoD
+  // param_.output->set_lod(param_.input->lod());
+  return true;
+}
+
+}  // namespace operators
+}  // namespace lite
+}  // namespace paddle
+
+REGISTER_LITE_OP(mul, paddle::lite::operators::MulOpLite);

paddle/fluid/lite/operators/mul_op.h

+// Copyright (c) 2019 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 <vector>
+#include "paddle/fluid/lite/core/kernel.h"
+#include "paddle/fluid/lite/core/op_lite.h"
+#include "paddle/fluid/lite/core/scope.h"
+#include "paddle/fluid/lite/core/tensor.h"
+#include "paddle/fluid/lite/operators/op_params.h"
+#include "paddle/fluid/lite/utils/all.h"
+
+namespace paddle {
+namespace lite {
+namespace operators {
+
+class MulOpLite : public OpLite {
+ public:
+  MulOpLite() {}
+
+  explicit MulOpLite(const std::string &type) : OpLite(type) {}
+
+  bool CheckShape() const override;
+
+  bool InferShape() const override;
+
+  // TODO(Superjomn) replace framework::OpDesc with a lite one.
+  bool Attach(const framework::OpDesc &op_desc, lite::Scope *scope) override {
+    auto input = op_desc.Input("X").front();
+    auto W = op_desc.Input("Y").front();
+    auto out = op_desc.Output("Out").front();
+
+    param_.x = scope->FindVar(input)->GetMutable<Tensor>();
+    param_.y = scope->FindVar(W)->GetMutable<Tensor>();
+    CHECK(scope->FindVar(out));
+    param_.output = scope->FindVar(out)->GetMutable<Tensor>();
+    param_.x_num_col_dims = boost::get<int>(op_desc.GetAttr("x_num_col_dims"));
+    param_.y_num_col_dims = boost::get<int>(op_desc.GetAttr("y_num_col_dims"));
+
+    CHECK(kernel_);
+    kernel_->SetParam(param_);
+
+    return true;
+  }
+
+  std::string DebugString() const override { return "mul"; }
+
+ private:
+  mutable MulParam param_;
+};
+
+}  // namespace operators
+}  // namespace lite
+}  // namespace paddle

paddle/fluid/lite/operators/op_params.h

@@ -30,7 +30,7 @@ struct FcParam {
   Tensor* bias{};
   Tensor* output{};
   DDim in_mat_dims;
-  int in_num_col_dims{0};
+  int in_num_col_dims{1};
 };
 
 struct ReluParam {
@@ -38,7 +38,27 @@ struct ReluParam {
   Tensor* output{};
 };
 
-using param_t = variant<FcParam, ReluParam>;
+// For Mul Op
+struct MulParam {
+  Tensor* x{};
+  Tensor* y{};
+  Tensor* output{};
+
+  int x_num_col_dims{1};
+  int y_num_col_dims{1};
+};
+
+// For Scale Op
+struct ScaleParam {
+  Tensor* x{};
+  Tensor* output{};
+
+  float scale{1.};
+  float bias{};
+  bool bias_after_scale{true};
+};
+
+using param_t = variant<FcParam, ReluParam, MulParam, ScaleParam>;
 
 }  // namespace operators
 }  // namespace lite

paddle/fluid/lite/operators/relu_op.h

@@ -36,11 +36,6 @@ class ReluOp : public OpLite {
 
   std::string DebugString() const override { return "tanh"; }
 
-  void StaticPickKernel(
-      const std::vector<OpLite::Place> &valid_targets) override {
-    kernel_ = std::move(CreateKernels(valid_targets).front());
-  }
-
  private:
   mutable ReluParam param_;
 };

paddle/fluid/lite/operators/scale_op.cc

+// Copyright (c) 2019 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 <string>
+#include <vector>
+#include "paddle/fluid/lite/core/kernel.h"
+#include "paddle/fluid/lite/core/op_lite.h"
+#include "paddle/fluid/lite/core/op_registry.h"
+#include "paddle/fluid/lite/core/scope.h"
+#include "paddle/fluid/lite/core/tensor.h"
+#include "paddle/fluid/lite/operators/op_params.h"
+#include "paddle/fluid/lite/utils/all.h"
+
+namespace paddle {
+namespace lite {
+namespace operators {
+
+class ScaleOp : public OpLite {
+ public:
+  ScaleOp() {}
+
+  explicit ScaleOp(const std::string &type) : OpLite(type) {}
+
+  bool CheckShape() const override {
+    CHECK_OR_FALSE(param_.x);
+    CHECK_OR_FALSE(param_.output);
+    return true;
+  }
+
+  bool InferShape() const override {
+    param_.output->Resize(param_.x->dims());
+    return true;
+  }
+
+  // TODO(Superjomn) replace framework::OpDesc with a lite one.
+  bool Attach(const framework::OpDesc &op_desc, lite::Scope *scope) override {
+    auto x = op_desc.Input("X").front();
+    auto out = op_desc.Output("Out").front();
+
+    param_.x = scope->FindVar(x)->GetMutable<Tensor>();
+    CHECK(scope->FindVar(out));
+    param_.output = scope->FindVar(out)->GetMutable<Tensor>();
+    param_.scale = boost::get<float>(op_desc.GetAttr("scale"));
+    param_.bias = boost::get<float>(op_desc.GetAttr("bias"));
+    param_.bias_after_scale =
+        boost::get<bool>(op_desc.GetAttr("bias_after_scale"));
+
+    CHECK(kernel_);
+    kernel_->SetParam(param_);
+
+    return true;
+  }
+
+  std::string DebugString() const override { return op_type_; }
+
+ private:
+  mutable ScaleParam param_;
+};
+
+}  // namespace operators
+}  // namespace lite
+}  // namespace paddle
+
+REGISTER_LITE_OP(scale, paddle::lite::operators::ScaleOp);