add reshape2 op

src/common/types.cpp

@@ -40,6 +40,7 @@ const char *G_OP_TYPE_POOL2D = "pool2d";
 const char *G_OP_TYPE_PRIOR_BOX = "prior_box";
 const char *G_OP_TYPE_RELU = "relu";
 const char *G_OP_TYPE_RESHAPE = "reshape";
+const char *G_OP_TYPE_RESHAPE2 = "reshape2";
 const char *G_OP_TYPE_SIGMOID = "sigmoid";
 const char *G_OP_TYPE_SOFTMAX = "softmax";
 const char *G_OP_TYPE_TRANSPOSE = "transpose";
@@ -99,6 +100,7 @@ std::unordered_map<
         {G_OP_TYPE_POLYGON_BOX_TRANSFORM, {{"Input"}, {"Output"}}},
         {G_OP_TYPE_FC, {{"X", "Y", "Z"}, {"Out"}}},
         {G_OP_TYPE_RESHAPE, {{"X"}, {"Out"}}},
+        {G_OP_TYPE_RESHAPE2, {{"X"}, {"Out", "XShape"}}},
         {G_OP_TYPE_DEPTHWISE_CONV, {{"Input"}, {"Output"}}},
         {G_OP_TYPE_FILL_CONSTANT, {{}, {"Out"}}},
         {G_OP_TYPE_FUSION_CONV_ADD_RELU, {{"Input"}, {"Out"}}},

src/framework/load_ops.h

@@ -109,6 +109,9 @@ LOAD_FUSION_MATCHER(fusion_conv_add_bn_relu);
 #ifdef RESHAPE_OP
 LOAD_OP2(reshape, CPU, MALI_GPU);
 #endif
+#ifdef RESHAPE2_OP
+LOAD_OP2(reshape2, CPU, MALI_GPU);
+#endif
 #ifdef TRANSPOSE_OP
 LOAD_OP1(transpose, CPU);
 #endif

src/operators/kernel/arm/reshape2_kernel.cpp

+/* 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 RESHAPE2_OP
+
+#include "operators/kernel/reshape2_kernel.h"
+#include "operators/kernel/central-arm-func/reshape2_arm_func.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+template <>
+bool Reshape2Kernel<CPU, float>::Init(Reshape2Param<CPU> *param) {
+  return true;
+}
+
+template <>
+void Reshape2Kernel<CPU, float>::Compute(
+    const Reshape2Param<CPU> &param) const {
+  Reshape2Compute<float>(param);
+}
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+#endif

src/operators/kernel/central-arm-func/reshape2_arm_func.h

+/* 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 RESHAPE2_OP
+#pragma once
+
+#include <vector>
+#include "operators/kernel/reshape_kernel.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+template <typename P>
+void Reshape2Compute(const Reshape2Param<CPU> &param) {
+  const auto *input_x = param.InputX();
+  const auto &input_x_dims = input_x->dims();
+  auto *out = param.Out();
+  framework::DDim out_dims = out->dims();
+  const auto *input_shape = param.InputShape();
+
+  if (input_shape) {
+    auto *shape_data = input_shape->data<int>();
+    framework::Tensor cpu_shape_tensor;
+    auto shape =
+        std::vector<int>(shape_data, shape_data + input_shape->numel());
+    out_dims = ValidateShape(shape, input_x->dims());
+  } else {
+    auto &shape = param.Shape();
+    out_dims = ValidateShape(shape, input_x_dims);
+  }
+
+  bool inplace = param.Inplace();
+  out->Resize(out_dims);
+  if (!inplace) {
+    out->mutable_data<float>();
+    framework::TensorCopy(*input_x, out);
+    out->Resize(out_dims);
+  } else {
+    out->ShareDataWith(*input_x);
+    out->Resize(out_dims);
+  }
+}
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+#endif

src/operators/kernel/reshape2_kernel.h

+/* 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 RESHAPE2_OP
+
+#pragma once
+
+#include <vector>
+#include "framework/operator.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+template <typename DeviceType, typename T>
+class Reshape2Kernel
+    : public framework::OpKernelBase<DeviceType, Reshape2Param<DeviceType>> {
+ public:
+  void Compute(const Reshape2Param<DeviceType>& param) const;
+  bool Init(Reshape2Param<DeviceType>* param);
+};
+}  // namespace operators
+}  // namespace paddle_mobile
+
+#endif

src/operators/op_param.h

@@ -243,6 +243,12 @@ class OpParam {
     return GetVarValue<T>("Y", outputs, scope);
   }
 
+  template <typename T>
+  static T *OutputXShapeFrom(const VariableNameMap &outputs,
+                             const Scope &scope) {
+    return GetVarValue<T>("XShape", outputs, scope);
+  }
+
   template <typename T>
   static T *OutputBoxesFrom(const VariableNameMap &outputs,
                             const Scope &scope) {
@@ -1233,6 +1239,49 @@ class ReshapeParam : public OpParam {
 };
 #endif
 
+#ifdef RESHAPE2_OP
+template <typename Dtype>
+class Reshape2Param : public OpParam {
+  typedef typename DtypeTensorTrait<Dtype>::gtype GType;
+  typedef typename DtypeTensorTrait<Dtype>::rtype RType;
+
+ public:
+  Reshape2Param(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);
+    output_xshape_ = OutputXShapeFrom<GType>(outputs, scope);
+    shape_ = GetAttr<vector<int>>("shape", attrs);
+    if (HasAttr("inplace", attrs)) {
+      inplace_ = GetAttr<bool>("inplace", attrs);
+    } else {
+      inplace_ = false;
+    }
+  }
+
+  const RType *InputX() const { return input_x_; }
+
+  const RType *InputShape() const { return input_shape_; }
+
+  RType *Out() const { return out_; }
+
+  RType *OutputXShape() const { return output_xshape_; }
+
+  const vector<int> &Shape() const { return shape_; }
+
+  const bool &Inplace() const { return inplace_; }
+
+ private:
+  RType *input_x_;
+  RType *input_shape_;
+  RType *out_;
+  RType *output_xshape_;
+  vector<int> shape_;
+  bool inplace_;
+};
+#endif
+
 #ifdef SCALE_OP
 template <typename Dtype>
 class ScaleParam : public OpParam {

src/operators/reshape2_op.cpp

+/* 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 RESHAPE2_OP
+
+#include "operators/reshape2_op.h"
+#include <vector>
+#include "operators/kernel/reshape_kernel.h"
+namespace paddle_mobile {
+namespace operators {
+
+template <typename Dtype, typename T>
+void Reshape2Op<Dtype, T>::InferShape() const {
+  auto &shape = this->param_.Shape();
+  auto input_x_dims = this->param_.InputX()->dims();
+  auto out_dims = ValidateShape(shape, input_x_dims);
+  this->param_.Out()->Resize(out_dims);
+  std::vector<int64_t> xshape_dims(input_x_dims.size() + 1, 0);
+  for (int i = 0; i < input_x_dims.size(); ++i) {
+    xshape_dims[i + 1] = input_x_dims[i];
+  }
+  this->param_.OutputXShape()->Resize(framework::make_ddim(xshape_dims));
+}
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+namespace ops = paddle_mobile::operators;
+#ifdef PADDLE_MOBILE_CPU
+REGISTER_OPERATOR_CPU(reshape2, ops::Reshape2Op);
+#endif
+#ifdef PADDLE_MOBILE_MALI_GPU
+REGISTER_OPERATOR_MALI_GPU(reshape2, ops::Reshape2Op);
+#endif
+
+#endif

src/operators/reshape2_op.h

+/* 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 RESHAPE2_OP
+
+#pragma once
+
+#include <string>
+
+#include "framework/operator.h"
+#include "operators/kernel/reshape2_kernel.h"
+#include "operators/op_param.h"
+
+namespace paddle_mobile {
+namespace operators {
+
+using paddle_mobile::framework::Tensor;
+
+template <typename DeviceType, typename T>
+class Reshape2Op : public framework::OperatorWithKernel<
+                       DeviceType, Reshape2Param<DeviceType>,
+                       operators::Reshape2Kernel<DeviceType, T>> {
+ public:
+  Reshape2Op(const std::string &type, const VariableNameMap &inputs,
+             const VariableNameMap &outputs,
+             const framework::AttributeMap &attrs,
+             std::shared_ptr<framework::Scope> scope)
+      : framework::OperatorWithKernel<DeviceType, Reshape2Param<DeviceType>,
+                                      operators::Reshape2Kernel<DeviceType, T>>(
+            type, inputs, outputs, attrs, scope) {}
+
+  using framework::OperatorWithKernel<
+      DeviceType, Reshape2Param<DeviceType>,
+      operators::Reshape2Kernel<DeviceType, T>>::OperatorWithKernel;
+  void InferShape() const override;
+
+ protected:
+};
+
+}  // namespace operators
+}  // namespace paddle_mobile
+
+#endif

tools/op.cmake

@@ -201,6 +201,7 @@ if(NOT FOUND_MATCH)
   set(PRIORBOX_OP ON)
   set(RELU_OP ON)
   set(RESHAPE_OP ON)
+  set(RESHAPE2_OP ON)
   set(SIGMOID_OP ON)
   set(SOFTMAX_OP ON)
   set(TRANSPOSE_OP ON)
@@ -246,6 +247,7 @@ endif()
   # option(PRIORBOX_OP "" ON)
   # option(RELU_OP "" ON)
   # option(RESHAPE_OP "" ON)
+  # option(RESHAPE2_OP "" ON)
   # option(SIGMOID_OP "" ON)
   # option(SOFTMAX_OP "" ON)
   # option(TRANSPOSE_OP "" ON)
@@ -314,6 +316,9 @@ endif()
 if (RESHAPE_OP)
   add_definitions(-DRESHAPE_OP)
 endif()
+if (RESHAPE2_OP)
+  add_definitions(-DRESHAPE2_OP)
+endif()
 if (SIGMOID_OP)
   add_definitions(-DSIGMOID_OP)
 endif()