# Copyright 2022 The OFA-Sys Team. # All rights reserved. # This source code is licensed under the Apache 2.0 license # found in the LICENSE file in the root directory. import os import torch import pickle class FileDataset: def __init__(self, file_path, selected_col_ids=None, dtypes=None, separator="\t", cached_index=False): self.file_path = file_path assert os.path.exists(self.file_path), "Error: The local datafile {} not exists!".format(self.file_path) self.separator = separator if selected_col_ids is None: # default to all fields self.selected_col_ids = list( range(len(open(self.file_path).readline().rstrip("\n").split(self.separator)))) else: self.selected_col_ids = [int(col_id) for col_id in selected_col_ids.split(",")] if dtypes is None: # default to str self.dtypes = [str for col_id in self.selected_col_ids] else: self.dtypes = [eval(col_dtype) for col_dtype in dtypes.split(",")] assert len(self.dtypes) == len(self.selected_col_ids) self.data_cnt = 0 try: self.slice_id = torch.distributed.get_rank() self.slice_count = torch.distributed.get_world_size() except Exception: self.slice_id = 0 self.slice_count = 1 self.cached_index = cached_index self._init_seek_index() self._reader = self._get_reader() print("file {} slice_id {} row count {} total row count {}".format( self.file_path, self.slice_id, self.row_count, self.total_row_count) ) def _init_seek_index(self): if self.cached_index: cache_path = "{}.index".format(self.file_path) assert os.path.exists(cache_path), "cache file {} not exists!".format(cache_path) self.total_row_count, self.lineid_to_offset = pickle.load(open(cache_path, "rb")) print("local datafile {} slice_id {} use cached row_count and line_idx-to-offset mapping".format( self.file_path, self.slice_id)) else: # make an iteration over the file to get row_count and line_idx-to-offset mapping fp = open(self.file_path, "rb") print("local datafile {} slice_id {} begin to initialize row_count and line_idx-to-offset mapping".format( self.file_path, self.slice_id)) self.total_row_count = 0 offset = 0 self.lineid_to_offset = [] for line in fp: self.lineid_to_offset.append(offset) self.total_row_count += 1 # offset += len(line.encode('utf-8')) offset += len(line) #fp.tell() #len(line) self._compute_start_pos_and_row_count() print("local datafile {} slice_id {} finished initializing row_count and line_idx-to-offset mapping".format( self.file_path, self.slice_id)) def _compute_start_pos_and_row_count(self): self.row_count = self.total_row_count // self.slice_count if self.slice_id < self.total_row_count - self.row_count * self.slice_count: self.row_count += 1 self.start_pos = self.row_count * self.slice_id else: self.start_pos = self.row_count * self.slice_id + (self.total_row_count - self.row_count * self.slice_count) def _get_reader(self): fp = open(self.file_path, "r") fp.seek(self.lineid_to_offset[self.start_pos]) return fp def _seek(self, offset=0): try: print("slice_id {} seek offset {}".format(self.slice_id, self.start_pos + offset)) self._reader.seek(self.lineid_to_offset[self.start_pos + offset]) self.data_cnt = offset except Exception: print("slice_id {} seek offset {}".format(self.slice_id, offset)) self._reader.seek(self.lineid_to_offset[offset]) self.data_cnt = offset def __del__(self): self._reader.close() def __len__(self): return self.row_count def get_total_row_count(self): return self.total_row_count def __getitem__(self, index): if self.data_cnt == self.row_count: print("reach the end of datafile, start a new reader") self.data_cnt = 0 self._reader = self._get_reader() column_l = self._reader.readline().rstrip("\n").split(self.separator) self.data_cnt += 1 # try: column_l = [dtype(column_l[col_id]) for col_id, dtype in zip(self.selected_col_ids, self.dtypes)] # except: # print(column_l, self.data_cnt, self.start_pos, self.slice_id) # print(self._reader.readline().rstrip("\n").split(self.separator)) return column_l