delete save_inference_mode fun, because the dev paddle has support export crnn model
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606a387354
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@ -333,22 +333,6 @@ def eval(model, valid_dataloader, post_process_class, eval_class):
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return metirc
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return metirc
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def save_inference_mode(model, config, logger):
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if dist.get_rank() == 0:
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model.eval()
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print('infer')
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save_path = '{}/infer/{}'.format(config['Global']['save_model_dir'],
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config['Architecture']['model_type'])
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if config['Architecture']['model_type'] == 'rec':
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input_shape = [None, 3, 32, None]
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jit_model = paddle.jit.to_static(
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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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def preprocess():
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def preprocess():
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FLAGS = ArgsParser().parse_args()
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FLAGS = ArgsParser().parse_args()
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config = load_config(FLAGS.config)
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config = load_config(FLAGS.config)
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@ -89,7 +89,6 @@ def main(config, device, logger, vdl_writer):
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program.train(config, train_dataloader, valid_dataloader, device, model,
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program.train(config, train_dataloader, valid_dataloader, device, model,
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loss_class, optimizer, lr_scheduler, post_process_class,
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loss_class, optimizer, lr_scheduler, post_process_class,
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eval_class, pre_best_model_dict, logger, vdl_writer)
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eval_class, pre_best_model_dict, logger, vdl_writer)
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program.save_inference_mode(model, config, logger)
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def test_reader(config, device, logger):
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def test_reader(config, device, logger):
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