FM / core

/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core/

/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core

Name	Size	Mode	Actions
allocator.h	136	0644	edit dl rm
blob.h	4168	0644	edit dl rm
blob_serialization.h	10791	0644	edit dl rm
blob_serializer_base.h	3905	0644	edit dl rm
blob_stats.h	1127	0644	edit dl rm
common.h	4329	0644	edit dl rm
common_cudnn.h	9893	0644	edit dl rm
common_gpu.h	21414	0644	edit dl rm
common_omp.h	156	0644	edit dl rm
context.h	6174	0644	edit dl rm
context_base.h	4382	0644	edit dl rm
context_gpu.h	11014	0644	edit dl rm
cudnn_wrappers.h	6956	0644	edit dl rm
db.h	9352	0644	edit dl rm
distributions_stubs.h	2161	0644	edit dl rm
event.h	12420	0644	edit dl rm
event_cpu.h	1192	0644	edit dl rm
export_c10_op_to_caffe2.h	9487	0644	edit dl rm
export_caffe2_op_to_c10.h	11101	0644	edit dl rm
flags.h	74	0644	edit dl rm
graph.h	5258	0644	edit dl rm
init.h	6496	0644	edit dl rm
logging.h	75	0644	edit dl rm
macros.h	3426	0644	edit dl rm
memonger.h	817	0644	edit dl rm
module.h	2473	0644	edit dl rm
net.h	4634	0644	edit dl rm
net_async_base.h	7397	0644	edit dl rm
net_async_scheduling.h	993	0644	edit dl rm
net_async_task.h	833	0644	edit dl rm
net_async_task_future.h	1925	0644	edit dl rm
net_async_task_graph.h	2253	0644	edit dl rm
net_async_tracing.h	5093	0644	edit dl rm
net_dag_utils.h	2146	0644	edit dl rm
net_parallel.h	2144	0644	edit dl rm
net_simple.h	2606	0644	edit dl rm
net_simple_refcount.h	2097	0644	edit dl rm
numa.h	72	0644	edit dl rm
observer.h	3809	0644	edit dl rm
operator.h	58872	0644	edit dl rm
operator_gradient.h	10222	0644	edit dl rm
operator_schema.h	18477	0644	edit dl rm
plan_executor.h	219	0644	edit dl rm
prof_dag_counters.h	2751	0644	edit dl rm
qtensor.h	6615	0644	edit dl rm
qtensor_serialization.h	2624	0644	edit dl rm
scope_guard.h	4675	0644	edit dl rm
static_tracepoint.h	398	0644	edit dl rm
static_tracepoint_elfx86.h	5555	0644	edit dl rm
stats.h	10365	0644	edit dl rm
storage.h	733	0644	edit dl rm
tensor.h	18668	0644	edit dl rm
tensor_impl.h	351	0644	edit dl rm
tensor_int8.h	450	0644	edit dl rm
test_utils.h	6285	0644	edit dl rm
timer.h	1218	0644	edit dl rm
transform.h	5741	0644	edit dl rm
types.h	2248	0644	edit dl rm
workspace.h	11305	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core/net.h (4634B)

#ifndef CAFFE2_CORE_NET_H_
#define CAFFE2_CORE_NET_H_

#include <atomic>
#include <climits>
#include <cstddef>
#include <thread> // NOLINT
#include <typeinfo>
#include <unordered_map>
#include <vector>

#include "c10/core/thread_pool.h"
#include "c10/util/Registry.h"
#include "caffe2/core/blob.h"
#include "caffe2/core/common.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/observer.h"
#include "caffe2/core/operator_schema.h"
#include "caffe2/core/tensor.h"
#include "caffe2/proto/caffe2_pb.h"
#include "caffe2/utils/simple_queue.h"

C10_DECLARE_string(caffe2_override_executor);

namespace caffe2 {

class NetBase;
typedef ObserverBase<NetBase> NetObserver;
typedef std::function<std::unique_ptr<NetObserver>(NetBase*)>
    NetObserverCreator;

class OperatorBase;
class Workspace;

// Net is a thin struct that owns all the operators together with the operator
// contexts.
class TORCH_API NetBase : public Observable<NetBase> {
 public:
  NetBase(const std::shared_ptr<const NetDef>& net_def, Workspace* ws);
  virtual ~NetBase() noexcept {}

virtual bool SupportsAsync() = 0;
  inline const vector<const Event*>& events() const {
    return events_;
  }

virtual void Wait() {
    // by default just wait till all events are finished
    for (const auto& event : events_) {
      event->Finish();
    }
  }

virtual bool Run() {
    if (!RunAsync()) {
      LOG(ERROR) << "Failed to execute async run";
      return false;
    }
    Wait();
    return handleRunError();
  }

virtual bool RunAsync();

virtual void Cancel();

/* Benchmarks a network for one individual run so that we can feed new
   * inputs on additional calls.
   * This function returns the number of microseconds spent
   * during the benchmark
   */
  virtual float TEST_Benchmark_One_Run();

/**
   * Benchmarks a network.
   *
   * This function returns a vector of float recording the number of milli-
   * seconds spent during the benchmark. The 0-th item is the time spent per
   * each network run, and if a net instantiation supports run_individual,
   * the remainder of the vector returns the number of milliseconds spent per
   * operator.
   */
  virtual vector<float> TEST_Benchmark(
      const int /*warmup_runs*/,
      const int /*main_runs*/,
      const bool /*run_individual*/);

inline const vector<string>& external_output() const {
    return external_output_;
  }

inline const vector<string>& external_input() const {
    return external_input_;
  }

/* Used to attach Observers to operators of a Net
   *
   * Returns pointers to objects owned with unique_ptrs.
   * Use with caution.
   */
  virtual vector<OperatorBase*> GetOperators() const = 0;

const string& Name() const {
    return name_;
  }

inline const NetDef& debug_def() const {
    CAFFE_ENFORCE(has_debug_def(), "net_def was null!");
    return *net_def_;
  }

inline bool has_debug_def() const {
    return net_def_ != nullptr;
  }

protected:
  virtual bool DoRunAsync() {
    CAFFE_THROW("Not implemented");
  };

virtual bool handleRunError() {
    for (const Event* event : events_) {
      if (event->Query() != EventStatus::EVENT_SUCCESS) {
        CAFFE_THROW(event->ErrorMessage());
      }
    }
    return true;
  }

vector<string> external_input_;
  vector<string> external_output_;
  string name_;
  vector<const Event*> events_;
  std::shared_ptr<const NetDef> net_def_;
  C10_DISABLE_COPY_AND_ASSIGN(NetBase);
};

class TORCH_API ExecutorHelper {
 public:
  ExecutorHelper() {}
  virtual TaskThreadPoolBase* GetPool(const DeviceOption& option) const;
  virtual std::vector<OperatorBase*> GetOperators() const;
  virtual int GetNumWorkers() const;
  virtual ~ExecutorHelper() {}
};

C10_DECLARE_REGISTRY(
    NetRegistry,
    NetBase,
    const std::shared_ptr<const NetDef>&,
    Workspace*);
#define REGISTER_NET_CREATOR(key, ...) \
  C10_REGISTER_CREATOR(NetRegistry, key, __VA_ARGS__)
#define REGISTER_NET(name, ...) \
  C10_REGISTER_CLASS(NetRegistry, name, __VA_ARGS__)

/**
 * @brief Creates a network, accessing / creating blobs in the given workspace.
 *
 * Note that this is different from Workspace::CreateNet. The latter adds the
 * created net object to the workspace's net map, while this function returns
 * a standalone net object.
 */
TORCH_API unique_ptr<NetBase> CreateNet(const NetDef& net_def, Workspace* ws);
TORCH_API unique_ptr<NetBase> CreateNet(
    const std::shared_ptr<const NetDef>& net_def,
    Workspace* ws);

TORCH_API void AddGlobalNetObserverCreator(NetObserverCreator creator);

TORCH_API void ClearGlobalNetObservers();

} // namespace caffe2

#endif // CAFFE2_CORE_NET_H_

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