fatal error: nsync_cv.h: No such file or directory

fatal error: nsync_cv.h: No such file or directory

解决方法：

https://github.com/tensorflow/tensorflow/issues/12482

/* Copyright 2015 The TensorFlow 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.
==============================================================================*/


#ifndef TENSORFLOW_PLATFORM_DEFAULT_MUTEX_H_
#define TENSORFLOW_PLATFORM_DEFAULT_MUTEX_H_


// IWYU pragma: private, include "third_party/tensorflow/core/platform/mutex.h"
// IWYU pragma: friend third_party/tensorflow/core/platform/mutex.h


#include <chrono>
#include <condition_variable>
#include <mutex>
#include "tensorflow/core/platform/thread_annotations.h"
namespace tensorflow {


#undef mutex_lock


enum LinkerInitialized { LINKER_INITIALIZED };


// A class that wraps around the std::mutex implementation, only adding an
// additional LinkerInitialized constructor interface.
class LOCKABLE mutex : public std::mutex {
 public:
  mutex() {}
  // The default implementation of std::mutex is safe to use after the linker
  // initializations
  explicit mutex(LinkerInitialized x) {}


  void lock() ACQUIRE() { std::mutex::lock(); }
  bool try_lock() EXCLUSIVE_TRYLOCK_FUNCTION(true) {
    return std::mutex::try_lock();
  };
  void unlock() RELEASE() { std::mutex::unlock(); }
};


class SCOPED_LOCKABLE mutex_lock : public std::unique_lock<std::mutex> {
 public:
  mutex_lock(class mutex& m) ACQUIRE(m) : std::unique_lock<std::mutex>(m) {}
  mutex_lock(class mutex& m, std::try_to_lock_t t) ACQUIRE(m)
      : std::unique_lock<std::mutex>(m, t) {}
  mutex_lock(mutex_lock&& ml) noexcept
      : std::unique_lock<std::mutex>(std::move(ml)) {}
  ~mutex_lock() RELEASE() {}
};


// Catch bug where variable name is omitted, e.g. mutex_lock (mu);
#define mutex_lock(x) static_assert(0, "mutex_lock_decl_missing_var_name");


using std::condition_variable;


inline ConditionResult WaitForMilliseconds(mutex_lock* mu,
                                           condition_variable* cv, int64 ms) {
  std::cv_status s = cv->wait_for(*mu, std::chrono::milliseconds(ms));
  return (s == std::cv_status::timeout) ? kCond_Timeout : kCond_MaybeNotified;
}


}  // namespace tensorflow


#endif  // TENSORFLOW_PLATFORM_DEFAULT_MUTEX_H_

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原文链接：blog.csdn.net/jacke121/article/details/79667802