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修复ips和batch_cost输出错误的bug
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@ -236,7 +236,6 @@ def train(config,
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train_batch_cost = 0.0
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train_batch_cost = 0.0
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train_reader_cost = 0.0
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train_reader_cost = 0.0
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batch_sum = 0
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batch_sum = 0
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batch_start = time.time()
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# eval
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# eval
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if global_step > start_eval_step and \
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if global_step > start_eval_step and \
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(global_step - start_eval_step) % eval_batch_step == 0 and dist.get_rank() == 0:
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(global_step - start_eval_step) % eval_batch_step == 0 and dist.get_rank() == 0:
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@ -275,6 +274,7 @@ def train(config,
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best_model_dict[main_indicator],
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best_model_dict[main_indicator],
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global_step)
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global_step)
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global_step += 1
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global_step += 1
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batch_start = time.time()
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if dist.get_rank() == 0:
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if dist.get_rank() == 0:
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save_model(
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save_model(
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model,
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model,
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@ -334,17 +334,19 @@ def eval(model, valid_dataloader, post_process_class, eval_class):
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def save_inference_mode(model, config, logger):
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def save_inference_mode(model, config, logger):
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model.eval()
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if dist.get_rank() == 0:
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save_path = '{}/infer/{}'.format(config['Global']['save_model_dir'],
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model.eval()
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config['Architecture']['model_type'])
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print('infer')
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if config['Architecture']['model_type'] == 'rec':
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save_path = '{}/infer/{}'.format(config['Global']['save_model_dir'],
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input_shape = [None, 3, 32, None]
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config['Architecture']['model_type'])
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jit_model = paddle.jit.to_static(
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if config['Architecture']['model_type'] == 'rec':
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model, input_spec=[paddle.static.InputSpec(input_shape)])
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input_shape = [None, 3, 32, None]
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paddle.jit.save(jit_model, save_path)
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jit_model = paddle.jit.to_static(
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logger.info('inference model save to {}'.format(save_path))
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model, input_spec=[paddle.static.InputSpec(input_shape)])
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paddle.jit.save(jit_model, save_path)
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logger.info('inference model save to {}'.format(save_path))
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model.train()
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model.train()
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def preprocess():
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def preprocess():
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