AIStoryBoard/python/venv/Lib/site-packages/torch/include/kineto/ITraceActivity.h

#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
/*
 * Copyright (c) Meta Platforms, Inc. and affiliates.
 * All rights reserved.
 *
 * This source code is licensed under the BSD-style license found in the
 * LICENSE file in the root directory of this source tree.
 */

#pragma once

#include <string>

#include "ActivityType.h"

namespace libkineto {

class ActivityLogger;
struct TraceSpan;

// Generic activity interface is borrowed from tensorboard protobuf format.
struct ITraceActivity {
  virtual ~ITraceActivity() {}
  // Device is a physical or logical entity, e.g. CPU, GPU or process
  virtual int64_t deviceId() const = 0;
  // A resource is something on the device, h/w thread,
  // functional units etc.
  virtual int64_t resourceId() const = 0;
  // s/w thread
  virtual int32_t getThreadId() const = 0;
  // Start timestamp in nanoseconds
  virtual int64_t timestamp() const = 0;
  // Duration in nanoseconds
  virtual int64_t duration() const = 0;
  // Used to link up async activities
  virtual int64_t correlationId() const = 0;
  // Part of a flow, identified by flow id and type
  virtual int flowType() const = 0;
  virtual int64_t flowId() const = 0;
  virtual bool flowStart() const = 0;
  virtual ActivityType type() const = 0;
  virtual const std::string name() const = 0;
  // Optional linked activity
  virtual const ITraceActivity* linkedActivity() const = 0;
  // Optional containing trace object
  virtual const TraceSpan* traceSpan() const = 0;
  // Log activity
  virtual void log(ActivityLogger& logger) const = 0;
  // Return json formatted metadata
  // FIXME: Return iterator to dynamic type map here instead
  virtual const std::string metadataJson() const = 0;
  // Return the metadata value in string format with key
  // @lint-ignore CLANGTIDY: clang-diagnostic-unused-parameter
  virtual const std::string getMetadataValue(const std::string& key) const {
    return "";
  }

  static int64_t nsToUs(int64_t ns) {
    // It's important that this conversion is the same everywhere.
    // No rounding!
    return ns / 1000;
  }
};

} // namespace libkineto

#else
#error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined."
#endif  // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)