Manually merged in most of the changes from AccidentallyOnPurpose who changed the model to pytorch added suggested actions, a repetition penalty, and a number of other things.

2026-09-10 11:40:48 +08:00 · 2019-12-23 00:17:56 -05:00
parent 78eeab277f
commit 646b589bee
10 changed files with 596 additions and 39 deletions
@@ -0,0 +1,35 @@
+{
+  "attn_pdrop": 0.1,
+  "embd_pdrop": 0.1,
+  "finetuning_task": null,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1"
+  },
+  "initializer_range": 0.02,
+  "is_decoder": false,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "layer_norm_epsilon": 1e-05,
+  "n_ctx": 1024,
+  "n_embd": 1600,
+  "n_head": 25,
+  "n_layer": 48,
+  "n_positions": 1024,
+  "num_labels": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "output_past": true,
+  "pruned_heads": {},
+  "resid_pdrop": 0.1,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torchscript": false,
+  "use_bfloat16": false,
+  "vocab_size": 50257
+}
@@ -0,0 +1,110 @@
+# coding=utf-8
+# Copyright 2018 The HuggingFace Inc. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Convert OpenAI GPT checkpoint."""
+
+from __future__ import absolute_import, division, print_function
+
+import argparse
+from io import open
+
+import torch
+
+from transformers import (
+    CONFIG_NAME,
+    WEIGHTS_NAME,
+    GPT2Config,
+    GPT2Model,
+    load_tf_weights_in_gpt2,
+)
+
+import logging
+
+logging.basicConfig(level=logging.INFO)
+
+
+def convert_gpt2_checkpoint_to_pytorch(
+    gpt2_checkpoint_path, gpt2_config_file, pytorch_dump_folder_path
+):
+    # Construct model
+    if gpt2_config_file == "":
+        config = GPT2Config()
+    else:
+        config = GPT2Config.from_json_file(gpt2_config_file)
+    model = GPT2Model(config)
+
+    # Load weights from numpy
+    load_tf_weights_in_gpt2(model, config, gpt2_checkpoint_path)
+
+    # Save pytorch-model
+    pytorch_weights_dump_path = pytorch_dump_folder_path + "/" + WEIGHTS_NAME
+    pytorch_config_dump_path = pytorch_dump_folder_path + "/" + CONFIG_NAME
+    print("Save PyTorch model to {}".format(pytorch_weights_dump_path))
+    torch.save(model.state_dict(), pytorch_weights_dump_path)
+
+    print("Save configuration file to {}".format(pytorch_config_dump_path))
+    with open(pytorch_config_dump_path, "w", encoding="utf-8") as f:
+        f.write(config.to_json_string())
+
+    # Also save as half precision to save transfer, loading, and inference time and memory
+    pytorch_weights_dump_path += 'half'
+    model.half()
+    torch.save(model.state_dict(), pytorch_weights_dump_path)
+    with open(pytorch_config_dump_path "w", encoding="utf-8") as f:
+        f.write(config.to_json_string())
+    print("Save configuration file to {}".format(pytorch_config_dump_path))
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    ## Required parameters
+    parser.add_argument(
+        "--gpt2_checkpoint_path",
+        default=None,
+        type=str,
+        required=True,
+        help="Path to the TensorFlow checkpoint path.",
+    )
+    parser.add_argument(
+        "--pytorch_dump_folder_path",
+        default=None,
+        type=str,
+        required=True,
+        help="Path to the output PyTorch model.",
+    )
+    parser.add_argument(
+        "--gpt2_config_file",
+        default="",
+        type=str,
+        help="An optional config json file corresponding to the pre-trained OpenAI model. \n"
+        "This specifies the model architecture.",
+    )
+    args = parser.parse_args()
+    convert_gpt2_checkpoint_to_pytorch(
+        args.gpt2_checkpoint_path, args.gpt2_config_file, args.pytorch_dump_folder_path
+    )
+
+
+"""
+download aidungeon2 v5 model from this torrent or elsewhere
+-  magnet:?xt=urn:btih:b343b83b35bff774dab13e0281ce13b3daf37d3e&dn=model_v5&tr=udp%3a%2f%2ftracker.coppersurfer.tk%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.leechers-paradise.org%3a6969%2fannounce
+export OPENAI_GPT2_CHECKPOINT_PATH=../generator/gpt2/models/model_v5
+export PYTORCH_DUMP_OUTPUT=../generator/gpt2/models/model_v5_pytorch
+python convert_gpt2_model.py \
+    --gpt2_checkpoint_path $OPENAI_GPT2_CHECKPOINT_PATH \
+    --pytorch_dump_folder_path $PYTORCH_DUMP_OUTPUT \
+    --gpt2_config_file ./aidungeonv2_model_v5_config.json
+wget https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-xl-merges.txt -o $PYTORCH_DUMP_OUTPUT/merges.txt
+wget https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-xl-vocab.json -o $PYTORCH_DUMP_OUTPUT/vocab.json
+"""