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修复ips和batch_cost输出错误的bug

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This commit is contained in:
WenmuZhou 2020-11-24 15:47:12 +08:00
parent 0c287c41ea
commit 40023f76a6
1 changed files with 13 additions and 11 deletions
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4
tools/program.py
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@ -236,7 +236,6 @@ def train(config,
train_batch_cost = 0.0
train_reader_cost = 0.0
batch_sum = 0
batch_start = time.time()
# eval
if global_step > start_eval_step and \
(global_step - start_eval_step) % eval_batch_step == 0 and dist.get_rank() == 0:
@ -275,6 +274,7 @@ def train(config,
best_model_dict[main_indicator],
global_step)
global_step += 1
batch_start = time.time()
if dist.get_rank() == 0:
save_model(
model,
@ -334,7 +334,9 @@ def eval(model, valid_dataloader, post_process_class, eval_class):
def save_inference_mode(model, config, logger):
if dist.get_rank() == 0:
model.eval()
print('infer')
save_path = '{}/infer/{}'.format(config['Global']['save_model_dir'],
config['Architecture']['model_type'])
if config['Architecture']['model_type'] == 'rec':