pytorch/caffe2/core/blob.h
Sebastian Messmer 8f0db9bbbb Removing some dependency edges from Blob to other caffe2 (#12043)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12043

Re-trying D9979976, this time with all call sites fixed.

D9979976 got reverted because there was a call site that wasn't covered by sandcastle it seems.
I fixed it and used 'grep' to ensure there aren't any more call sites in fbsource.

Reviewed By: ezyang

Differential Revision: D10026392

fbshipit-source-id: cd341514a8e53a40147ea0ee3e52f63bb6444157
2018-09-25 11:40:24 -07:00

255 lines
6.7 KiB
C++

#ifndef CAFFE2_CORE_BLOB_H_
#define CAFFE2_CORE_BLOB_H_
#include <cstddef>
#include <sstream>
#include <typeinfo>
#include <type_traits>
#include <vector>
#include "caffe2/core/common.h"
#include <ATen/core/typeid.h>
#include "caffe2/core/logging.h"
#include "caffe2/core/tensor.h"
namespace caffe2 {
class Tensor;
/**
* @brief Blob is a general container that hosts a typed pointer.
*
* A Blob hosts a pointer as well as its type, and takes charge of deleting it
* properly when the blob is deallocated or re-allocated with a new type. A blob
* could contain anything, although the most common case is to contain a Tensor.
*/
class CAFFE2_API Blob final {
public:
using DestroyCall = void(void*);
/**
* Initializes an empty Blob.
*/
Blob() noexcept : meta_(), pointer_(nullptr), destroy_(nullptr) {}
~Blob() { Reset(); }
Blob(Blob&& other) noexcept : Blob() {
swap(other);
}
Blob& operator=(Blob&& other) noexcept {
Blob(std::move(other)).swap(*this);
return *this;
}
/**
* Checks if the content stored in the blob is of type T.
*/
template <class T>
bool IsType() const noexcept {
return meta_.Match<T>();
}
/**
* Returns the meta info of the blob.
*/
inline const TypeMeta& meta() const noexcept { return meta_; }
/**
* Returns a printable typename of the blob.
*/
inline const char* TypeName() const noexcept { return meta_.name(); }
/**
* @brief Gets the const reference of the stored object. The code checks if
* the stored object is of the desired type.
*/
// TODO(jerryzh): add a Get(DeviceType) function?
template <class T>
const T& Get() const {
CAFFE_ENFORCE(
IsType<T>(),
"wrong type for the Blob instance. Blob contains ",
meta_.name(),
" while caller expects ",
TypeMeta::TypeName<T>());
// TODO: after we add Get<Tensor>(DeviceType)
// and changed all the callsites, we can add
// a static assert here to enforce T != Tensor
return *static_cast<const T*>(pointer_);
}
const void* GetRaw() const noexcept {
return pointer_;
}
void* GetRaw() noexcept {
return pointer_;
}
/**
* @brief Gets a mutable pointer to the stored object.
*
* If the current object is not of the right type, a new object is created
* and the old object is freed. Note that type T should have a default
* constructor. Otherwise, create the object yourself first, and use
* Reset().
*/
template <class T>
T* GetMutable() {
static_assert(
std::is_default_constructible<T>::value,
"GetMutable can't be called with non-default-constructible types. "
"Try using specialized methods");
if (IsType<T>()) {
return static_cast<T*>(pointer_);
} else {
VLOG(1) << "Create new mutable object " << TypeMeta::TypeName<T>();
return Reset<T>(new T());
}
}
template <class T>
T* GetMutableOrNull() {
if (IsType<T>()) {
return static_cast<T*>(pointer_);
} else {
return nullptr;
}
}
/**
* Sets the underlying object to the allocated one. The Blob then takes over
* the ownership of the passed in pointer. If there is already an object in
* the Blob, the old object is freed.
*
* This is used when the underlying class T does not have a default ctor, or
* complex initializations needs to be done outside the blob.
*/
template <class T>
T* Reset(T* allocated) {
if (pointer_ && destroy_) {
destroy_(pointer_);
}
meta_ = TypeMeta::Make<T>();
pointer_ = static_cast<void*>(allocated);
destroy_ = &Destroy<T>;
return allocated;
}
inline void*
Reset(void* allocated, const TypeMeta& meta, DestroyCall* destroy) {
if (pointer_ && destroy_) {
destroy_(pointer_);
}
meta_ = meta;
pointer_ = static_cast<void*>(allocated);
destroy_ = destroy;
return allocated;
}
/**
* Releases the ownership, if any, this Blob has on the underlying pointer.
* The user is then responsible for freeing the data if needed
*/
inline DestroyCall* Release() {
DestroyCall* d = destroy_;
destroy_ = nullptr;
return d;
}
/**
* Sets the underlying object to the allocated one, but does not take over
* the ownership of the passed in pointer. If there is already an object in
* the Blob, the old object is freed.
*
* Unlike Reset, this does not take over the ownership of the pointer and the
* caller is responsible for making sure that the lifetime of the allocated
* blob outlasts the lifetime of any access to this blob, until another Reset
* call is made or the blob is destructed.
*/
template <class T>
typename std::remove_const<T>::type* ShareExternal(
typename std::remove_const<T>::type* allocated) {
return static_cast<T*>(ShareExternal(
static_cast<void*>(allocated),
TypeMeta::Make<typename std::remove_const<T>::type>()));
}
void* ShareExternal(void* allocated, const TypeMeta& meta) {
if (pointer_ && destroy_) {
destroy_(pointer_);
}
meta_ = meta;
pointer_ = static_cast<void*>(allocated);
destroy_ = nullptr;
return allocated;
}
/**
* Resets the Blob to an empty one.
*/
inline void Reset() {
if (pointer_ && destroy_) {
destroy_(pointer_);
}
pointer_ = nullptr;
meta_ = TypeMeta();
destroy_ = nullptr;
}
/**
* @brief Swaps the underlying storage of two blobs.
*/
void swap(Blob& rhs) {
using std::swap;
swap(meta_, rhs.meta_);
swap(pointer_, rhs.pointer_);
swap(destroy_, rhs.destroy_);
}
private:
/**
* @brief A destroy call that is used to properly deconstruct objects.
*/
template <class T>
static void Destroy(void* pointer) {
delete static_cast<T*>(pointer);
}
TypeMeta meta_;
void* pointer_ = nullptr;
DestroyCall* destroy_ = nullptr;
AT_DISABLE_COPY_AND_ASSIGN(Blob);
};
inline void swap(Blob& lhs, Blob& rhs) {
lhs.swap(rhs);
}
inline bool BlobIsTensorType(const Blob& blob, DeviceType device_type) {
bool is_match = blob.meta().Match<Tensor>();
if (!is_match) {
return false;
}
const Tensor* tensor = &blob.Get<Tensor>();
return tensor && tensor->GetDeviceType() == device_type;
}
inline Tensor* BlobGetMutableTensor(Blob* blob, DeviceType device_type) {
if (blob->IsType<Tensor>()) {
Tensor* tensor = blob->GetMutable<Tensor>();
if (tensor->GetDeviceType() == device_type) {
return tensor;
}
}
// if we're here, then either Blob didn't hold a Tensor
// or that Tensor had the wrong DeviceType.
VLOG(1) << "Create new mutable object " << TypeMeta::TypeName<Tensor>()
<< " DeviceType:" << device_type;
return blob->Reset<Tensor>(new Tensor(device_type));
}
} // namespace caffe2
#endif // CAFFE2_CORE_BLOB_H_