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Fix Funnel Transformer conversion script #9683

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Merged
sgugger merged 1 commit into from
Jan 20, 2021
Merged

Fix Funnel Transformer conversion script #9683

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13 changes: 9 additions & 4 deletions src/transformers/models/funnel/convert_funnel_original_tf_checkpoint_to_pytorch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,18 +19,18 @@

import torch

from transformers import FunnelConfig, FunnelForPreTraining, load_tf_weights_in_funnel
from transformers import FunnelBaseModel, FunnelConfig, FunnelModel, load_tf_weights_in_funnel
from transformers.utils import logging


logging.set_verbosity_info()


def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, config_file, pytorch_dump_path):
def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, config_file, pytorch_dump_path, base_model):
# Initialise PyTorch model
config = FunnelConfig.from_json_file(config_file)
print("Building PyTorch model from configuration: {}".format(str(config)))
model = FunnelForPreTraining(config)
model = FunnelBaseModel(config) if base_model else FunnelModel(config)

# Load weights from tf checkpoint
load_tf_weights_in_funnel(model, config, tf_checkpoint_path)
Expand All @@ -57,5 +57,10 @@ def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, config_file, pytorch_du
parser.add_argument(
"--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
)
parser.add_argument(
"--base_model", action="store_true", help="Whether you want just the base model (no decoder) or not."
)
args = parser.parse_args()
convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)
convert_tf_checkpoint_to_pytorch(
args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path, args.base_model
)