Spaces:
Runtime error
Runtime error
| 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, "r") | |
| 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')) | |
| 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 | |
| column_l = [dtype(column_l[col_id]) for col_id, dtype in zip(self.selected_col_ids, self.dtypes)] | |
| return column_l |