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Fix typo in val_batch_size and remove unused imports #908

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Fix typo in val_batch_size and remove unused imports #908

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15 changes: 2 additions & 13 deletions 3.test_cases/pytorch/FSDP/src/train.py
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Original file line number Diff line number Diff line change
@@ -1,35 +1,24 @@
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0

import datetime
import functools
import math
import re
import time

import numpy as np
import torch
from torch import optim
import torch.distributed as dist
import torch.utils.data

import transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
from datasets import load_dataset

from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.distributed.fsdp import MixedPrecision
from torch.distributed.fsdp import ShardingStrategy
from torch.distributed.fsdp import CPUOffload
from torch.distributed.fsdp.wrap import size_based_auto_wrap_policy, transformer_auto_wrap_policy
from torch.utils.data import DataLoader
from torch.distributed.fsdp.wrap import transformer_auto_wrap_policy

from model_utils.concat_dataset import ConcatTokensDataset
from model_utils.train_utils import (get_model_config,
compute_num_params,
get_transformer_layer,
get_sharding_strategy,
get_backward_fetch_policy,
apply_activation_checkpoint,
get_param_groups_by_weight_decay,
get_logger,
Expand Down Expand Up @@ -268,7 +257,7 @@ def main(args):
val_dataloader = create_streaming_dataloader(args.dataset,
args.tokenizer,
name=args.dataset_config_name,
batch_size=args.train_batch_size,
batch_size=args.val_batch_size,
split='validation')

train(model,
Expand Down