Python pickle.dump方法代碼示例

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def saveState(dataHub):
    import pickle as pickle
    import gzip

    pickle.dump(dataHub, gzip.open(dataHub.args.save_state, "wb"))
    logging.warn("^"*20 + " saving state to pickle and exiting " + "^"*20) 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def register(self, name, serializer):
        """Register ``serializer`` object under ``name``.

        Raises :class:`AttributeError` if ``serializer`` in invalid.

        .. note::

            ``name`` will be used as the file extension of the saved files.

        :param name: Name to register ``serializer`` under
        :type name: ``unicode`` or ``str``
        :param serializer: object with ``load()`` and ``dump()``
            methods

        """
        # Basic validation
        getattr(serializer, 'load')
        getattr(serializer, 'dump')

        self._serializers[name] = serializer 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def cache_data(self, name, data):
        """Save ``data`` to cache under ``name``.

        If ``data`` is ``None``, the corresponding cache file will be
        deleted.

        :param name: name of datastore
        :param data: data to store. This may be any object supported by
                the cache serializer

        """
        serializer = manager.serializer(self.cache_serializer)

        cache_path = self.cachefile('%s.%s' % (name, self.cache_serializer))

        if data is None:
            if os.path.exists(cache_path):
                os.unlink(cache_path)
                self.logger.debug('deleted cache file: %s', cache_path)
            return

        with atomic_writer(cache_path, 'wb') as file_obj:
            serializer.dump(data, file_obj)

        self.logger.debug('cached data: %s', cache_path) 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def gt_roidb(self):
    """
    Return the database of ground-truth regions of interest.

    This function loads/saves from/to a cache file to speed up future calls.
    """
    cache_file = os.path.join(self.cache_path, self.name + '_gt_roidb.pkl')
    if os.path.exists(cache_file):
      with open(cache_file, 'rb') as fid:
        try:
          roidb = pickle.load(fid)
        except:
          roidb = pickle.load(fid, encoding='bytes')
      print('{} gt roidb loaded from {}'.format(self.name, cache_file))
      return roidb

    gt_roidb = [self._load_pascal_labels(index)
                for index in self.image_index]
    with open(cache_file, 'wb') as fid:
      pickle.dump(gt_roidb, fid, pickle.HIGHEST_PROTOCOL)
    print('wrote gt roidb to {}'.format(cache_file))

    return gt_roidb 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def _write_coco_results_file(self, all_boxes, res_file):
    # [{"image_id": 42,
    #   "category_id": 18,
    #   "bbox": [258.15,41.29,348.26,243.78],
    #   "score": 0.236}, ...]
    results = []
    for cls_ind, cls in enumerate(self.classes):
      if cls == '__background__':
        continue
      print('Collecting {} results ({:d}/{:d})'.format(cls, cls_ind,
                                                       self.num_classes - 1))
      coco_cat_id = self._class_to_coco_cat_id[cls]
      results.extend(self._coco_results_one_category(all_boxes[cls_ind],
                                                     coco_cat_id))
    print('Writing results json to {}'.format(res_file))
    with open(res_file, 'w') as fid:
      json.dump(results, fid) 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def save_eval_file(opt, stats, eval_type="losses", split="dev", ext="pickle"):
    if cfg.test_save:
        name = "{}/{}.{}".format(utils.make_name(
            opt, prefix="garbage/{}/".format(eval_type),
            is_dir=True, eval_=True), split, ext)
    else:
        name = "{}/{}.{}".format(utils.make_name(
            opt, prefix="results/{}/".format(eval_type),
            is_dir=True, eval_=True), split, ext)
    print("Saving {} {} to {}".format(split, eval_type, name))

    if ext == "pickle":
        with open(name, "wb") as f:
            pickle.dump(stats, f)
    elif ext == "txt":
        with open(name, "w") as f:
            f.write(stats)
    elif ext == "json":
        with open(name, "w") as f:
            json.dump(stats, f)
    else:
        raise 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def main(cache_dir):
    files_list = list(os.listdir(cache_dir))
    for file in files_list:
        full_filename = os.path.join(cache_dir, file)
        if os.path.isfile(full_filename):
            print("Processing {}".format(full_filename))
            m, stored_kwargs = pickle.load(open(full_filename, 'rb'))
            updated_kwargs = util.get_compatible_kwargs(model.Model, stored_kwargs)

            model_hash = util.object_hash(updated_kwargs)
            print("New hash -> " + model_hash)
            model_filename = os.path.join(cache_dir, "model_{}.p".format(model_hash))
            sys.setrecursionlimit(100000)
            pickle.dump((m,updated_kwargs), open(model_filename,'wb'), protocol=pickle.HIGHEST_PROTOCOL)

            os.remove(full_filename) 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def train(self):
        while (self.epoch < self.option.max_epoch and not self.early_stopped):
            self.one_epoch_train()
            self.one_epoch_valid()
            self.one_epoch_test()
            self.epoch += 1
            model_path = self.saver.save(self.sess, 
                                         self.option.model_path,
                                         global_step=self.epoch)
            print("Model saved at %s" % model_path)
            
            if self.early_stop():
                self.early_stopped = True
                print("Early stopped at epoch %d" % (self.epoch))
        
        all_test_in_top = [np.mean(x[1]) for x in self.test_stats]
        best_test_epoch = np.argmax(all_test_in_top)
        best_test = all_test_in_top[best_test_epoch]
        
        msg = "Best test in top: %0.4f at epoch %d." % (best_test, best_test_epoch + 1)       
        print(msg)
        self.log_file.write(msg + "\n")
        pickle.dump([self.train_stats, self.valid_stats, self.test_stats],
                    open(os.path.join(self.option.this_expsdir, "results.pckl"), "w")) 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def saveSeed(randomStates, saveDir):
    """
    Takes a list of dictionaries of random generator states of different modules
    and saves them in a .pkl format.
    
    Inputs:
        randomStates (list): The length of this list is equal to the number of
            modules whose states want to be saved (torch, numpy, etc.). Each
            element in this list is a dictionary. The dictionary has three keys:
            'module' with the name of the module in string format ('numpy' or
            'torch', for example), 'state' with the saved generator state and,
            if corresponds, 'seed' with the specific seed for the generator
            (note that torch has both state and seed, but numpy only has state)
        saveDir (path): where to save the seed, it will be saved under the 
            filename 'randomSeedUsed.pkl'
    """
    pathToSeed = os.path.join(saveDir, 'randomSeedUsed.pkl')
    with open(pathToSeed, 'wb') as seedFile:
        pickle.dump({'randomStates': randomStates}, seedFile) 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def saveToDisk(self):
        """Saves the data to disk."""
        out.info('Saving to disk (%s)\n' % (self.filename))

        # Make sure they want to save
        if(not self.attrSaveable()):
            return

        # Get whatever the data is
        pyld = self.exportAttr(self.getAttr())

        # Write the file to disk, truncate if it exists
        try:
            with open(self.filename, 'wb') as output:
                pickle.dump(pyld, output)
                os.fsync(output.fileno())
        except Exception as e:
            out.err('Error writing to disk %s\n' % (str(e)))

        try:
            with open(self.filename + ".yaml", "w") as output:
                yaml.dump(pyld, output)
        except Exception as error:
            out.err("Error writing yaml file: {}".format(error)) 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def gt_roidb(self):
    """
    Return the database of ground-truth regions of interest.

    This function loads/saves from/to a cache file to speed up future calls.
    """
    cache_file = os.path.join(self.cache_path, self.name + '_gt_roidb.pkl')
    if os.path.exists(cache_file):
      with open(cache_file, 'rb') as fid:
        try:
          roidb = pickle.load(fid)
        except:
          roidb = pickle.load(fid, encoding='bytes')
      print('{} gt roidb loaded from {}'.format(self.name, cache_file))
      return roidb

    gt_roidb = [self._load_pascal_annotation(index)
                for index in self.image_index]
    with open(cache_file, 'wb') as fid:
      pickle.dump(gt_roidb, fid, pickle.HIGHEST_PROTOCOL)
    print('wrote gt roidb to {}'.format(cache_file))

    return gt_roidb 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def gt_roidb(self):
        """
        Return the database of ground-truth regions of interest.

        This function loads/saves from/to a cache file to speed up future calls.
        """
        cache_file = os.path.join(self.cache_path, self.name + '_gt_roidb.pkl')
        if os.path.exists(cache_file):
            with open(cache_file, 'rb') as fid:
                roidb = pickle.load(fid)
            print('{} gt roidb loaded from {}'.format(self.name, cache_file))
            return roidb

        gt_roidb = [self._load_pascal_annotation(index)
                    for index in self.image_index]
        with open(cache_file, 'wb') as fid:
            pickle.dump(gt_roidb, fid, pickle.HIGHEST_PROTOCOL)
        print('wrote gt roidb to {}'.format(cache_file))

        return gt_roidb 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def gt_roidb(self):
        """
        Return the database of ground-truth regions of interest.
        This function loads/saves from/to a cache file to speed up future calls.
        """
        cache_file = os.path.join(self.cache_path, self.name + '_gt_roidb.pkl')
        if os.path.exists(cache_file):
            with open(cache_file, 'rb') as fid:
                roidb = pickle.load(fid)
            print('{} gt roidb loaded from {}'.format(self.name, cache_file))
            return roidb

        gt_roidb = [self._load_imagenet_annotation(index)
                    for index in self.image_index]
        with open(cache_file, 'wb') as fid:
            pickle.dump(gt_roidb, fid, pickle.HIGHEST_PROTOCOL)
        print('wrote gt roidb to {}'.format(cache_file))

        return gt_roidb 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def gt_roidb(self):
        """
        Return the database of ground-truth regions of interest.

        This function loads/saves from/to a cache file to speed up future calls.
        """        
        cache_file = os.path.join(self.cache_path, self.name + '_gt_roidb.pkl')
        if os.path.exists(cache_file):
            fid = gzip.open(cache_file,'rb')
            roidb = pickle.load(fid)
            fid.close()
            print('{} gt roidb loaded from {}'.format(self.name, cache_file))
            return roidb

        gt_roidb = [self._load_vg_annotation(index)
                    for index in self.image_index]
        fid = gzip.open(cache_file,'wb')
        pickle.dump(gt_roidb, fid, pickle.HIGHEST_PROTOCOL)
        fid.close()
        print('wrote gt roidb to {}'.format(cache_file))
        return gt_roidb 

# 需要導入模塊: import pickle [as 別名]
# 或者: from pickle import dump [as 別名]
def write(self, file):
        """Write the content index to file and update the header.
        """
        pos = file.tell()
        pickle.dump((self.index, self.meta, self.info), file)
        file.seek(0)

        # update the header with the position of the content index.
        file.write(struct.pack('<Q', pos))