游雁
2023-05-16 3d9f094e9652d4b84894c6fd4eae39a4a753b0f0
funasr/utils/prepare_data.py
@@ -189,5 +189,21 @@
    else:
        args.train_data_file = os.path.join(args.data_dir, args.train_set, "data.list")
        args.valid_data_file = os.path.join(args.data_dir, args.valid_set, "data.list")
        if args.embed_path is not None:
            if not distributed or distributed_option.dist_rank == 0:
                for d in [args.train_set, args.valid_set]:
                    file = os.path.join(args.data_dir, d, "data.list")
                    with open(file) as f:
                        lines = f.readlines()
                    out_file = os.path.join(args.data_dir, d, "data_with_embed.list")
                    with open(out_file, "w") as out_f:
                        for line in lines:
                            parts = line.strip().split()
                            idx = parts[0].split("/")[-2]
                            embed_file = os.path.join(args.embed_path, "embeds", args.valid_set, "ark",
                                                      "embeds.{}.ark".format(idx))
                            out_f.write(parts[0] + " " + parts[1] + " " + embed_file + "\n")
            args.train_data_file = os.path.join(args.data_dir, args.train_set, "data_with_embed.list")
            args.valid_data_file = os.path.join(args.data_dir, args.valid_set, "data_with_embed.list")
    if distributed:
        dist.barrier()