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fix transformer eval device id

This commit is contained in:
yuchaojie 2020-10-19 15:22:25 +08:00
parent 2b58af0e9d
commit 55ee90e696
2 changed files with 3 additions and 3 deletions
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4
model_zoo/official/nlp/transformer/README.md
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@ -193,10 +193,10 @@ Parameters for learning rate:
- Set options in `config.py`, including loss_scale, learning rate and network hyperparameters. Click [here](https://www.mindspore.cn/tutorial/training/zh-CN/master/use/data_preparation.html) for more information about dataset. - Set options in `config.py`, including loss_scale, learning rate and network hyperparameters. Click [here](https://www.mindspore.cn/tutorial/training/zh-CN/master/use/data_preparation.html) for more information about dataset.
- Run `run_standalone_train_ascend.sh` for non-distributed training of Transformer model. - Run `run_standalone_train.sh` for non-distributed training of Transformer model.
``` bash ``` bash
sh scripts/run_standalone_train_ascend.sh DEVICE_ID EPOCH_SIZE DATA_PATH sh scripts/run_standalone_train.sh DEVICE_TARGET DEVICE_ID EPOCH_SIZE DATA_PATH
``` ```
- Run `run_distribute_train_ascend.sh` for distributed training of Transformer model. - Run `run_distribute_train_ascend.sh` for distributed training of Transformer model.

2
model_zoo/official/nlp/transformer/eval.py
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@ -100,7 +100,7 @@ def run_transformer_eval():
parser = argparse.ArgumentParser(description='tranformer') parser = argparse.ArgumentParser(description='tranformer')
parser.add_argument("--device_target", type=str, default="Ascend", parser.add_argument("--device_target", type=str, default="Ascend",
help="device where the code will be implemented, default is Ascend") help="device where the code will be implemented, default is Ascend")
parser.add_argument('--device_id', type=int, default=None, help='device id of GPU or Ascend. (Default: None)') parser.add_argument('--device_id', type=int, default=0, help='device id of GPU or Ascend, default is 0')
args = parser.parse_args() args = parser.parse_args()
context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target, reserve_class_name_in_scope=False, context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target, reserve_class_name_in_scope=False,