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context.h
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context.h
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#ifndef CAFFE2_CORE_CONTEXT_H_
#define CAFFE2_CORE_CONTEXT_H_
#include <cstdlib>
#include <ctime>
#include <random>
#include <unordered_map>
#include "caffe2/core/allocator.h"
#include "caffe2/core/context_base.h"
#include "caffe2/core/event.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/typeid.h"
#include "caffe2/proto/caffe2_pb.h"
#include <ATen/core/ATenCoreTest.h>
#include <ATen/core/ArrayRef.h>
C10_DECLARE_bool(caffe2_report_cpu_memory_usage);
namespace caffe2 {
/**
* A function to generate a random number seed that is unique in a best-effort
* basis, using an ever-incrementing seed and the current time.
*/
CAFFE2_API uint32_t RandomNumberSeed();
/**
* The CPU Context, representing the bare minimum of what a Context class in
* Caffe2 should implement.
*
* // TODO modify docs
* See operator.h, especially Operator<Context>, for how Context are used in
* actual operator implementations that are associated with specific devices.
* In general, the Context class is passed in as a template argument, and
* the operator can use the functions defined in the context to execute whatever
* computation it has.
*
*/
class CAFFE2_API CPUContext final : public BaseContext {
public:
typedef std::mt19937 rand_gen_type;
CPUContext() : random_seed_(RandomNumberSeed()) {}
explicit CPUContext(const DeviceOption& option)
: random_seed_(
option.has_random_seed() ? option.random_seed()
: RandomNumberSeed()) {
CAFFE_ENFORCE_EQ(option.device_type(), PROTO_CPU);
}
explicit CPUContext(const at::Device& device)
: CPUContext(DeviceToOption(device)) {}
~CPUContext() noexcept override {}
inline void SwitchToDevice(int /*stream_id*/) override {}
using BaseContext::SwitchToDevice;
inline void WaitEvent(const Event& ev) override {
ev.Wait(CPU, this);
}
inline void Record(Event* ev, const char* err_msg = nullptr) const override {
CAFFE_ENFORCE(ev, "Event must not be null.");
ev->Record(CPU, this, err_msg);
}
inline void FinishDeviceComputation() override {}
inline rand_gen_type& RandGenerator() {
if (!random_generator_.get()) {
random_generator_.reset(new rand_gen_type(random_seed_));
}
return *random_generator_.get();
}
inline static at::DataPtr New(size_t nbytes) {
return GetCPUAllocator()->allocate(nbytes);
}
void CopyBytesSameDevice(size_t nbytes, const void* src, void* dst) override {
if (nbytes == 0) {
return;
}
CAFFE_ENFORCE(src);
CAFFE_ENFORCE(dst);
memcpy(dst, src, nbytes);
}
void CopyBytesFromCPU(size_t nbytes, const void* src, void* dst) override {
CopyBytesSameDevice(nbytes, src, dst);
}
void CopyBytesToCPU(size_t nbytes, const void* src, void* dst) override {
CopyBytesSameDevice(nbytes, src, dst);
}
bool SupportsNonFundamentalTypes() const override {
// CPU non fumdamental type copy OK
return true;
}
template <class SrcContext, class DstContext>
inline void CopyBytes(size_t nbytes, const void* src, void* dst);
template <typename T, class SrcContext, class DstContext>
inline void Copy(size_t n, const T* src, T* dst) {
if (std::is_fundamental<T>::value) {
CopyBytes<SrcContext, DstContext>(
n * sizeof(T),
static_cast<const void*>(src),
static_cast<void*>(dst));
} else {
for (int i = 0; i < n; ++i) {
dst[i] = src[i];
}
}
}
template <class SrcContext, class DstContext>
inline void
CopyItems(const TypeMeta& meta, size_t n, const void* src, void* dst) {
if (meta.copy()) {
meta.copy()(src, dst, n);
} else {
CopyBytes<SrcContext, DstContext>(n * meta.itemsize(), src, dst);
}
}
// By default CPU operators don't have async device parts
static bool HasAsyncPartDefault() {
return false;
}
static bool SupportsAsyncScheduling() {
return false;
}
// CPU streams are not implemented and are silently ignored by CPU ops,
// return true to signal executor to schedule a CPU op
static bool IsStreamFree(
const DeviceOption& /* option */,
int /* stream_id */) {
return true;
}
at::Device device() const override {
// TODO: numa?
return at::Device(CPU);
}
DeviceType device_type() const override {
return CPU;
}
static constexpr DeviceType GetDeviceType() {
return CPU;
}
protected:
// TODO(jiayq): instead of hard-coding a generator, make it more flexible.
int random_seed_{1701};
std::unique_ptr<rand_gen_type> random_generator_;
};
template <>
inline void CPUContext::CopyBytes<CPUContext, CPUContext>(
size_t nbytes,
const void* src,
void* dst) {
if (nbytes == 0) {
return;
}
CAFFE_ENFORCE(src);
CAFFE_ENFORCE(dst);
memcpy(dst, src, nbytes);
}
} // namespace caffe2
#endif // CAFFE2_CORE_CONTEXT_H_