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Huggingface gptj convert script supports sharded checkpoint #695

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Huggingface gptj convert script supports sharded checkpoint #695

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8 changes: 4 additions & 4 deletions examples/pytorch/gptj/utils/huggingface_gptj_ckpt_convert.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@

import torch
import configparser
from transformers import PretrainedConfig
from transformers import PretrainedConfig, GPTJForCausalLM

torch.set_printoptions(linewidth=130, sci_mode=False)
np.set_printoptions(linewidth=130, suppress=True)
Expand Down Expand Up @@ -111,9 +111,9 @@ def save(w, save_dir, n_inference_gpus, n_layers, layer_id):
)
args = parser.parse_args()

ckpt_file = args.ckpt_dir + "/pytorch_model.bin"
checkpoint = torch.load(ckpt_file)
print(f"loading from {ckpt_file}")
checkpoint = GPTJForCausalLM.from_pretrained(args.ckpt_dir)
checkpoint = checkpoint.state_dict()
print(f"loading from {args.ckpt_dir}")

out_path = args.output_dir
output_dir = out_path + f"/{args.n_inference_gpus}-gpu/"
Expand Down