add cl files

src/framework/cl/cl_engine.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. */
+
+#include "framework/cl/cl_engine.h"
+
+#include <CL/cl.h>
+#include <cstdlib>
+#include <cstring>
+
+namespace paddle_mobile {
+namespace framework {
+
+bool CLEngine::Init() {
+  cl_int status;
+  setPlatform();
+  setClDeviceId();
+  setClContext();
+  setClCommandQueue();
+  std::string filename = "./HelloWorld_Kernel.cl";
+  loadKernelFromFile(filename.c_str());
+  buildProgram();
+  initialized_ = true;
+}
+
+CLEngine *CLEngine::Instance() {
+  static CLEngine cl_engine_;
+  return &cl_engine_;
+}
+
+std::unique_ptr<_cl_kernel, clKernel_deleter> CLEngine::GSetKernel(
+    const std::string &kernel_name) {
+  std::unique_ptr<_cl_kernel, clKernel_deleter> kernel(
+      clCreateKernel(program_.get(), kernel_name.c_str(), NULL));
+  return std::move(kernel);
+}
+
+bool CLEngine::SetClCommandQueue() {
+  cl_int status;
+  command_queue_.reset(
+      clCreateCommandQueue(context_.get(), devices_[0], 0, &status));
+  return true;
+}
+
+bool CLEngine::SetPlatform() {
+  platform_ = NULL;      // the chosen platform
+  cl_uint numPlatforms;  // the NO. of platforms
+  cl_int status = clGetPlatformIDs(0, NULL, &numPlatforms);
+
+  /**For clarity, choose the first available platform. */
+  if (numPlatforms > 0) {
+    cl_platform_id *platforms = reinterpret_cast<cl_platform_id *>(
+        malloc(numPlatforms * sizeof(cl_platform_id)));
+    status = clGetPlatformIDs(numPlatforms, platforms, NULL);
+    platform_ = platforms[0];
+    free(platforms);
+    return true;
+  } else {
+    return false;
+  }
+}
+
+bool CLEngine::SetClContext() {
+  context_.reset(clCreateContext(NULL, 1, devices_, NULL, NULL, NULL));
+  return true;
+}
+
+bool CLEngine::SetClDeviceId() {
+  cl_uint numDevices = 0;
+  devices_ = NULL;
+  cl_int status =
+      clGetDeviceIDs(platform_, CL_DEVICE_TYPE_GPU, 0, NULL, &numDevices);
+
+  if (numDevices > 0) {
+    std::cout << numDevices << std::endl;
+    devices_ = reinterpret_cast<cl_platform_id *>(
+        malloc(numDevices * sizeof(cl_device_id)));
+    status = clGetDeviceIDs(platform_, CL_DEVICE_TYPE_GPU, numDevices, devices_,
+                            NULL);
+    return true;
+  }
+  return false;
+}
+
+bool CLEngine::LoadKernelFromFile(const char *kernel_file) {
+  size_t size;
+  char *str;
+  std::fstream f(kernel_file, (std::fstream::in | std::fstream::binary));
+
+  if (!f.is_open()) {
+    return false;
+  }
+
+  size_t fileSize;
+  f.seekg(0, std::fstream::end);
+  size = fileSize = (size_t)f.tellg();
+  f.seekg(0, std::fstream::beg);
+  str = new char[size + 1];
+  if (!str) {
+    f.close();
+    return 0;
+  }
+
+  f.read(str, fileSize);
+  f.close();
+  str[size] = '\0';
+  const char *source = str;
+  size_t sourceSize[] = {strlen(source)};
+  program_.reset(
+      clCreateProgramWithSource(context_.get(), 1, &source, sourceSize, NULL));
+  return true;
+}
+
+bool CLEngine::BuildProgram() {
+  cl_int status;
+  status = clBuildProgram(program_.get(), 0, 0, "-cl-fast-relaxed-math", 0, 0);
+  return true;
+}
+
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/cl/cl_engine.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. */
+
+#pragma once
+
+#include <CL/cl.h>
+// #include "CL/cl.h"
+#include <fstream>
+#include <iostream>
+#include <memory>
+#include <string>
+
+namespace paddle_mobile {
+namespace framework {
+
+struct CLContext {};
+
+struct CLKernelDeleter {
+  template <class T>
+  void operator()(T *clKernelObj) {
+    clReleaseKernel(clKernelObj);
+  }
+};
+
+struct CLMemDeleter {
+  template <class T>
+  void operator()(T *clMemObj) {
+    clReleaseMemObject(clMemObj);
+  }
+};
+
+struct CLCommQueueDeleter {
+  template <class T>
+  void operator()(T *clQueueObj) {
+    clReleaseCommandQueue(clQueueObj);
+  }
+};
+
+struct CLContextDeleter {
+  template <class T>
+  void operator()(T *clContextObj) {
+    clReleaseContext(clContextObj);
+  }
+};
+
+struct CLProgramDeleter {
+  template <class T>
+  void operator()(T *clProgramObj) {
+    clReleaseProgram(clProgramObj);
+  }
+};
+
+class CLEngine {
+ public:
+  static CLEngine *Instance();
+
+  bool Init();
+
+  std::unique_ptr<_cl_kernel, clKernel_deleter> GetKernel(
+      const std::string &kernel_name);
+
+  const cl_context GetContext() { return context_.get(); }
+
+  const cl_program GetProgram() { return program_.get(); }
+
+  const cl_command_queue GetCommandQueue() { return command_queue_.get(); }
+
+ private:
+  CLEngine() { initialized_ = false; }
+
+  bool SetPlatform();
+
+  bool SetClDeviceId();
+
+  bool SetClContext();
+
+  bool SetClCommandQueue();
+
+  bool LoadKernelFromFile(const char *kernel_file);
+
+  bool BuildProgram();
+
+  bool initialized_;
+  cl_platform_id platform_;
+  cl_device_id *devices_;
+  std::unique_ptr<_cl_context, CLContextDeleter> context_;
+  std::unique_ptr<_cl_command_queue, CLCommQueueDeleter> command_queue_;
+  std::unique_ptr<_cl_program, clProgram_deleter> program_;
+};
+
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/cl/cl_tensor.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. */
+
+#pragma once
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "framework/tensor_base.h"
+
+namespace paddle_mobile {
+namespace framework {
+
+class CLTensor {
+ public:
+  CLTensor() {}
+
+  /*! Resize the dimensions of the memory block. */
+  inline CLTensor &Resize(const DDim &dims) {
+    dims_ = dims;
+    return *this;
+  }
+
+  //  template<typename T>
+  //  inline T *mutable_with_data(void *data) {
+  //    int64_t size = numel() * sizeof(float);
+  //    holder_.reset(new PlaceholderImpl(size, data, typeid(T)));
+  //    return reinterpret_cast<T *>(reinterpret_cast<void *>(
+  //            reinterpret_cast<uintptr_t>(holder_->ptr())));
+  //  }
+
+  inline void *mutable_data(std::type_index type) {
+    if (holder_ != nullptr) {
+      holder_->set_type(type);
+    }
+    PADDLE_MOBILE_ENFORCE(numel() >= 0, "the Tensor's numel must >=0.")
+    int64_t size = numel() * SizeOfType(type);
+    if (holder_ == nullptr || holder_->size() < size + offset_) {
+      holder_.reset(new PlaceholderImpl(size, type));
+      offset_ = 0;
+    }
+    return reinterpret_cast<void *>(
+        reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_);
+  }
+
+  /**
+   * @brief   Return a pointer to mutable memory block.
+   * @note    If not exist, then allocation.
+   */
+  template <typename T>
+  inline T *mutable_data() {
+    static_assert(std::is_pod<T>::value, "T must be POD");
+    return reinterpret_cast<T *>(mutable_data(typeid(T)));
+  }
+
+  /**
+   * @brief     Return a pointer to mutable memory block.
+   *
+   * @param[in] dims    The dimensions of the memory block.
+   * @param[in] place   The place of the memory block.
+   *
+   * @note      If not exist, then allocation.
+   */
+  template <typename T>
+  inline T *mutable_data(DDim dims) {
+    static_assert(std::is_pod<T>::value, "T must be POD");
+    Resize(dims);
+    return mutable_data<T>();
+  }
+
+ private:
+  /*
+   *   virtual ~Placeholder() = default;
+
+    virtual void *ptr() const = 0;
+
+    virtual size_t size() const = 0;
+
+    virtual std::type_index type() const = 0;
+
+    virtual void set_type(std::type_index type) = 0;
+   * */
+  struct PlaceholderImpl : public Placeholder {
+    PlaceholderImpl(size_t size, void *input, std::type_index type)
+        : ptr_(clCreateBuffer(CLEngine::instance()->getContext(),
+                              CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, size,
+                              reinterpret_cast<void *>(input), NULL)),
+          size_(size),
+          type_(type) {}
+
+    PlaceholderImpl(size_t size, std::type_index type)
+        : ptr_(clCreateBuffer(CLEngine::instance()->getContext(),
+                              CL_MEM_READ_WRITE, size, NULL, NULL)),
+          size_(size),
+          type_(type) {}
+
+    virtual size_t size() const { return size_; }
+
+    virtual void *ptr() const { return static_cast<void *>(ptr_.get()); }
+
+    virtual std::type_index type() const { return type_; }
+
+    virtual void set_type(std::type_index type) { type_ = type; }
+
+    std::unique_ptr<_cl_mem, clMem_deleter> ptr_;
+
+    size_t size_;
+
+    /* the current type of memory */
+    std::type_index type_;
+  };
+};
+
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/tensor.h

@@ -24,65 +24,24 @@ limitations under the License. */
 #include <vector>
 
 #include "common/enforce.h"
-#include "common/types.h"
 #include "framework/data_layout.h"
-#include "framework/ddim.h"
+#include "framework/tensor_base.h"
 #include "memory/t_malloc.h"
 
 namespace paddle_mobile {
 namespace framework {
-template <typename... T>
-struct SizeOfTypeFunctor;
-
-template <typename T>
-struct SizeOfTypeFunctor<T> {
-  size_t operator()(std::type_index type) const {
-    if (typeid(T).hash_code() == type.hash_code()) {
-      return sizeof(T);
-    } else {
-      return 0UL;
-    }
-  }
-};
-
-template <>
-struct SizeOfTypeFunctor<> {
-  size_t operator()(std::type_index type) const { return 0UL; }
-};
-
-template <typename HEAD, typename... TAIL>
-struct SizeOfTypeFunctor<HEAD, TAIL...> {
-  size_t operator()(std::type_index type) const {
-    SizeOfTypeFunctor<HEAD> head;
-    size_t head_size = head(type);
-    if (head_size != 0) {
-      return head_size;
-    }
-    SizeOfTypeFunctor<TAIL...> tail;
-    return tail(type);
-  }
-};
-
-static inline size_t SizeOfType(std::type_index type) {
-  SizeOfTypeFunctor<int8_t, int, half, float, double, int16_t, int64_t, bool,
-                    size_t>
-      functor;
-  size_t size = functor(type);
-
-  PADDLE_MOBILE_ENFORCE(size != 0UL, "Cannot get size of type %s", type.name());
-  return size;
-}
 
 class LoDTensor;
 
-class Tensor {
+class Tensor : public TensorBase {
  public:
-  Tensor() : offset_(0) {}
+  Tensor() {}
   template <typename T>
-  Tensor(std::vector<T> input, DDim ddim) : offset_(0) {
+  Tensor(std::vector<T> input, DDim ddim) {
     PADDLE_MOBILE_ENFORCE(
         input.size() == framework::product(ddim),
         "input vector'length should be equal to tensor's length");
+
     auto input_ptr = mutable_data<T>(ddim);
     for (int i = 0; i < input.size(); ++i) {
       input_ptr[i] = input[i];
@@ -95,46 +54,6 @@ class Tensor {
     this->offset_ = inTensor.offset_;
   }
 
-  /*! Return a pointer to mutable memory block. */
-  template <typename T>
-  inline T *data() {
-    check_memory_size();
-    PADDLE_MOBILE_ENFORCE(
-        (std::is_same<T, void>::value ||
-         holder_->type().hash_code() == typeid(T).hash_code()),
-        "Tensor holds the wrong type, it holds %s",
-        this->holder_->type().name());
-
-    return reinterpret_cast<T *>(reinterpret_cast<uintptr_t>(holder_->ptr()) +
-                                 offset_);
-  }
-
-  /*! Return a pointer to constant memory block. */
-  template <typename T>
-  inline const T *data() const {
-    check_memory_size();
-    PADDLE_MOBILE_ENFORCE(
-        (std::is_same<T, void>::value ||
-         holder_->type().hash_code() == typeid(T).hash_code()),
-        "Tensor holds the wrong type, it holds %s ,requested:%s",
-        this->holder_->type().name(), typeid(T).name());
-
-    return reinterpret_cast<const T *>(
-        reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_);
-  }
-
-  inline bool IsInitialized() const { return holder_ != nullptr; }
-
-  /**
-   * @brief   Return a pointer to mutable memory block.
-   * @note    If not exist, then allocation.
-   */
-  template <typename T>
-  inline T *mutable_data() {
-    static_assert(std::is_pod<T>::value, "T must be POD");
-    return reinterpret_cast<T *>(mutable_data(typeid(T)));
-  }
-
 #ifdef PADDLE_MOBILE_DEBUG
   template <typename T>
   inline void dump(std::string filename) const {
@@ -151,6 +70,21 @@ class Tensor {
   }
 #endif
 
+  /*! Resize the dimensions of the memory block. */
+  inline Tensor &Resize(const DDim &dims) {
+    dims_ = dims;
+    return *this;
+  }
+
+  /*! The internal of two tensors share the same memory block. */
+  inline Tensor &ShareDataWith(const Tensor &src) {
+    src.check_memory_size();
+    if (holder_.get() != src.holder_.get()) {
+      *this = src;
+    }
+    return *this;
+  }
+
   inline void *mutable_data(std::type_index type) {
     if (holder_ != nullptr) {
       holder_->set_type(type);
@@ -165,6 +99,16 @@ class Tensor {
         reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_);
   }
 
+  /**
+   * @brief   Return a pointer to mutable memory block.
+   * @note    If not exist, then allocation.
+   */
+  template <typename T>
+  inline T *mutable_data() {
+    static_assert(std::is_pod<T>::value, "T must be POD");
+    return reinterpret_cast<T *>(mutable_data(typeid(T)));
+  }
+
   /**
    * @brief     Return a pointer to mutable memory block.
    *
@@ -180,27 +124,6 @@ class Tensor {
     return mutable_data<T>();
   }
 
-  /*! Return the dimensions of the memory block. */
-  inline const DDim &dims() const { return dims_; }
-
-  /*! Return the numel of the memory block. */
-  inline int64_t numel() const { return product(dims_); }
-
-  /*! Resize the dimensions of the memory block. */
-  inline Tensor &Resize(const DDim &dims) {
-    dims_ = dims;
-    return *this;
-  }
-
-  /*! The internal of two tensors share the same memory block. */
-  inline Tensor &ShareDataWith(const Tensor &src) {
-    src.check_memory_size();
-    if (holder_.get() != src.holder_.get()) {
-      *this = src;
-    }
-    return *this;
-  }
-
   /**
    * @brief  Return a sub-tensor of the given tensor.
    *
@@ -234,44 +157,7 @@ class Tensor {
     }
   }
 
-  std::type_index type() const {
-    PADDLE_MOBILE_ENFORCE(
-        holder_ != nullptr,
-        "Tensor not initialized yet when Tensor::type() is called.")
-    return holder_->type();
-  }
-
-  // memory size returns the holding memory size in byte.
-  size_t memory_size() const {
-    return holder_ == nullptr ? 0UL : holder_->size() - offset_;
-  }
-
-  inline void check_memory_size() const {
-    PADDLE_MOBILE_ENFORCE(
-        holder_ != nullptr,
-        "Tensor holds no memory. Call Tensor::mutable_data first.");
-    PADDLE_MOBILE_ENFORCE(numel() * SizeOfType(type()) <= memory_size(),
-                          "Tensor's dims_ is out of bound. ");
-  }
-
  private:
-  /**
-   * @note    Placeholder hides type T, so it doesn't appear as a
-   * template
-   *          parameter of Variable.
-   */
-  struct Placeholder {
-    virtual ~Placeholder() = default;
-
-    virtual void *ptr() const = 0;
-
-    virtual size_t size() const = 0;
-
-    virtual std::type_index type() const = 0;
-
-    virtual void set_type(std::type_index type) = 0;
-  };
-
   struct PlaceholderImpl : public Placeholder {
     PlaceholderImpl(size_t size, std::type_index type)
         : ptr_(static_cast<uint8_t *>(memory::Alloc(size)),
@@ -299,30 +185,12 @@ class Tensor {
     std::type_index type_;
   };
 
-  /*! holds the memory block if allocated. */
-  std::shared_ptr<Placeholder> holder_;
-
-  /**
-   * @brief points to elements dimensions.
-   *
-   * @note dims_ do not indicate the memory block size.
-   */
-
-  DDim dims_;
-
-  /**
-   * @brief   A PlaceHolder may be shared by more than one tensor.
-   *
-   * @note    Some of them may be slices of the others. So the offset_
-   *          is introduced here to indicate the byte offset between
-   *          PlaceHolder::ptr_ and where the tensor data really
-   * begins.
-   */
-  size_t offset_;
 #ifdef PADDLE_MOBILE_FPGA
+
  public:
   inline void reset_data_ptr(void *p) {
-    ((PlaceholderImpl *)(holder_.get()))->ptr_.reset((uint8_t *)p);
+    (reinterpret_cast<PlaceholderImpl *>(holder_.get()))
+        ->ptr_.reset(reinterpret_cast<uint8_t *>(p));
   }
   float scale[2];  // scale[0]= MAX/127.0, scale[1]= 127.0/MAX
 #endif

src/framework/tensor_base.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. */
+
+#pragma once
+
+#include <type_traits>
+#include <typeindex>
+
+#include "common/enforce.h"
+#include "common/types.h"
+#include "framework/ddim.h"
+
+namespace paddle_mobile {
+namespace framework {
+
+template <typename... T>
+struct SizeOfTypeFunctor;
+
+template <typename T>
+struct SizeOfTypeFunctor<T> {
+  size_t operator()(std::type_index type) const {
+    if (typeid(T).hash_code() == type.hash_code()) {
+      return sizeof(T);
+    } else {
+      return 0UL;
+    }
+  }
+};
+
+template <>
+struct SizeOfTypeFunctor<> {
+  size_t operator()(std::type_index type) const { return 0UL; }
+};
+
+template <typename HEAD, typename... TAIL>
+struct SizeOfTypeFunctor<HEAD, TAIL...> {
+  size_t operator()(std::type_index type) const {
+    SizeOfTypeFunctor<HEAD> head;
+    size_t head_size = head(type);
+    if (head_size != 0) {
+      return head_size;
+    }
+    SizeOfTypeFunctor<TAIL...> tail;
+    return tail(type);
+  }
+};
+
+static inline size_t SizeOfType(std::type_index type) {
+  SizeOfTypeFunctor<int8_t, int, half, float, double, int16_t, int64_t, bool,
+                    size_t>
+      functor;
+  size_t size = functor(type);
+
+  PADDLE_MOBILE_ENFORCE(size != 0UL, "Cannot get size of type %s", type.name());
+  return size;
+}
+
+class TensorBase {
+ public:
+  virtual inline TensorBase &Resize(const DDim &dims) = 0;
+
+  inline bool IsInitialized() const { return holder_ != nullptr; }
+
+  virtual inline void *mutable_data(std::type_index type) = 0;
+
+  /*! Return a pointer to mutable memory block. */
+  template <typename T>
+  inline T *data() {
+    check_memory_size();
+    PADDLE_MOBILE_ENFORCE(
+        (std::is_same<T, void>::value ||
+         holder_->type().hash_code() == typeid(T).hash_code()),
+        "Tensor holds the wrong type, it holds %s",
+        this->holder_->type().name());
+
+    return reinterpret_cast<T *>(reinterpret_cast<uintptr_t>(holder_->ptr()) +
+                                 offset_);
+  }
+
+  /*! Return a pointer to constant memory block. */
+  template <typename T>
+  inline const T *data() const {
+    check_memory_size();
+    PADDLE_MOBILE_ENFORCE(
+        (std::is_same<T, void>::value ||
+         holder_->type().hash_code() == typeid(T).hash_code()),
+        "Tensor holds the wrong type, it holds %s ,requested:%s",
+        this->holder_->type().name(), typeid(T).name());
+
+    return reinterpret_cast<const T *>(
+        reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_);
+  }
+
+  /*! Return the dimensions of the memory block. */
+  inline const DDim &dims() const { return dims_; }
+
+  /*! Return the numel of the memory block. */
+  inline int64_t numel() const { return product(dims_); }
+
+  std::type_index type() const {
+    PADDLE_MOBILE_ENFORCE(
+        holder_ != nullptr,
+        "Tensor not initialized yet when Tensor::type() is called.")
+    return holder_->type();
+  }
+
+  // memory size returns the holding memory size in byte.
+  size_t memory_size() const {
+    return holder_ == nullptr ? 0UL : holder_->size() - offset_;
+  }
+
+  inline void check_memory_size() const {
+    PADDLE_MOBILE_ENFORCE(
+        holder_ != nullptr,
+        "Tensor holds no memory. Call Tensor::mutable_data first.");
+    PADDLE_MOBILE_ENFORCE(numel() * SizeOfType(type()) <= memory_size(),
+                          "Tensor's dims_ is out of bound. ");
+  }
+
+ protected:
+  /**
+   * @note    Placeholder hides type T, so it doesn't appear as a
+   * template
+   *          parameter of Variable.
+   */
+  struct Placeholder {
+    virtual ~Placeholder() = default;
+
+    virtual void *ptr() const = 0;
+
+    virtual size_t size() const = 0;
+
+    virtual std::type_index type() const = 0;
+
+    virtual void set_type(std::type_index type) = 0;
+  };
+
+  /**
+   * @brief points to elements dimensions.
+   *
+   * @note dims_ do not indicate the memory block size.
+   */
+
+  DDim dims_;
+
+  /*! holds the memory block if allocated. */
+  std::shared_ptr<Placeholder> holder_;
+
+  /**
+   * @brief   A PlaceHolder may be shared by more than one tensor.
+   *
+   * @note    Some of them may be slices of the others. So the offset_
+   *          is introduced here to indicate the byte offset between
+   *          PlaceHolder::ptr_ and where the tensor data really
+   * begins.
+   */
+  size_t offset_ = 0;
+};
+
+}  // namespace framework
+}  // namespace paddle_mobile