Fix: ensure encoding=utf-8 for json
This commit is contained in:
@@ -11,7 +11,7 @@ def set_style_config(json_path, output_path):
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json_dict = json.load(f)
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json_dict = json.load(f)
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json_dict["data"]["num_styles"] = 1
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json_dict["data"]["num_styles"] = 1
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json_dict["data"]["style2id"] = {DEFAULT_STYLE: 0}
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json_dict["data"]["style2id"] = {DEFAULT_STYLE: 0}
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with open(output_path, "w") as f:
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with open(output_path, "w", encoding="utf-8") as f:
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json.dump(json_dict, f, indent=2)
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json.dump(json_dict, f, indent=2)
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logger.info(f"Save style config (only {DEFAULT_STYLE}) to {output_path}")
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logger.info(f"Save style config (only {DEFAULT_STYLE}) to {output_path}")
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@@ -703,8 +703,8 @@ def train_and_evaluate(
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global_step += 1
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global_step += 1
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# 本家ではこれをスピードアップのために消すと書かれていたので、一応消してみる
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# 本家ではこれをスピードアップのために消すと書かれていたので、一応消してみる
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gc.collect()
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# gc.collect()
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torch.cuda.empty_cache()
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# torch.cuda.empty_cache()
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if rank == 0:
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if rank == 0:
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logger.info(f"====> Epoch: {epoch}, step: {global_step}")
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logger.info(f"====> Epoch: {epoch}, step: {global_step}")
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@@ -42,9 +42,13 @@ def merge_style(model_name_a, model_name_b, weight, output_name, style_triple_li
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style_vectors_b = np.load(
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style_vectors_b = np.load(
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os.path.join(model_dir, model_name_b, "style_vectors.npy")
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os.path.join(model_dir, model_name_b, "style_vectors.npy")
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) # (style_num_b, 256)
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) # (style_num_b, 256)
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with open(os.path.join(model_dir, model_name_a, "config.json")) as f:
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with open(
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os.path.join(model_dir, model_name_a, "config.json"), encoding="utf-8"
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) as f:
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config_a = json.load(f)
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config_a = json.load(f)
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with open(os.path.join(model_dir, model_name_b, "config.json")) as f:
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with open(
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os.path.join(model_dir, model_name_b, "config.json"), encoding="utf-8"
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) as f:
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config_b = json.load(f)
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config_b = json.load(f)
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style2id_a = config_a["data"]["style2id"]
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style2id_a = config_a["data"]["style2id"]
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style2id_b = config_b["data"]["style2id"]
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style2id_b = config_b["data"]["style2id"]
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@@ -72,7 +76,9 @@ def merge_style(model_name_a, model_name_b, weight, output_name, style_triple_li
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new_config["data"]["num_styles"] = len(new_style2id)
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new_config["data"]["num_styles"] = len(new_style2id)
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new_config["data"]["style2id"] = new_style2id
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new_config["data"]["style2id"] = new_style2id
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new_config["model_name"] = output_name
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new_config["model_name"] = output_name
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with open(os.path.join(model_dir, output_name, "config.json"), "w") as f:
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with open(
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os.path.join(model_dir, output_name, "config.json"), "w", encoding="utf-8"
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) as f:
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json.dump(new_config, f, indent=2)
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json.dump(new_config, f, indent=2)
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return output_style_path, list(new_style2id.keys())
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return output_style_path, list(new_style2id.keys())
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@@ -189,12 +195,12 @@ def update_two_model_names_dropdown():
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def load_styles_gr(model_name_a, model_name_b):
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def load_styles_gr(model_name_a, model_name_b):
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config_path_a = os.path.join(model_dir, model_name_a, "config.json")
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config_path_a = os.path.join(model_dir, model_name_a, "config.json")
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with open(config_path_a) as f:
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with open(config_path_a, encoding="utf-8") as f:
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config_a = json.load(f)
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config_a = json.load(f)
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styles_a = list(config_a["data"]["style2id"].keys())
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styles_a = list(config_a["data"]["style2id"].keys())
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config_path_b = os.path.join(model_dir, model_name_b, "config.json")
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config_path_b = os.path.join(model_dir, model_name_b, "config.json")
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with open(config_path_b) as f:
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with open(config_path_b, encoding="utf-8") as f:
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config_b = json.load(f)
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config_b = json.load(f)
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styles_b = list(config_b["data"]["style2id"].keys())
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styles_b = list(config_b["data"]["style2id"].keys())
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return gr.Textbox(value=", ".join(styles_a)), gr.Textbox(value=", ".join(styles_b))
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return gr.Textbox(value=", ".join(styles_a)), gr.Textbox(value=", ".join(styles_b))
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@@ -131,12 +131,12 @@ def save_style_vectors(model_name, style_names: str):
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return f"スタイルの数が合いません。`,`で正しく{len(centroids)}個に区切られているか確認してください: {style_names}"
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return f"スタイルの数が合いません。`,`で正しく{len(centroids)}個に区切られているか確認してください: {style_names}"
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style_name_list = [name.strip() for name in style_name_list]
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style_name_list = [name.strip() for name in style_name_list]
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with open(config_path, "r") as f:
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with open(config_path, "r", encoding="utf-8") as f:
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json_dict = json.load(f)
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json_dict = json.load(f)
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json_dict["data"]["num_styles"] = len(style_name_list)
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json_dict["data"]["num_styles"] = len(style_name_list)
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style_dict = {name: i for i, name in enumerate(style_name_list)}
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style_dict = {name: i for i, name in enumerate(style_name_list)}
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json_dict["data"]["style2id"] = style_dict
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json_dict["data"]["style2id"] = style_dict
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with open(config_path, "w") as f:
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with open(config_path, "w", encoding="utf-8") as f:
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json.dump(json_dict, f, indent=2)
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json.dump(json_dict, f, indent=2)
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return f"成功!\n{style_vector_path}に保存し{config_path}を更新しました。"
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return f"成功!\n{style_vector_path}に保存し{config_path}を更新しました。"
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@@ -178,13 +178,13 @@ def save_style_vectors_from_files(model_name, audio_files_text, style_names_text
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style_name_list = style_name_list + style_names
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style_name_list = style_name_list + style_names
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assert len(style_name_list) == len(style_vectors)
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assert len(style_name_list) == len(style_vectors)
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with open(config_path, "r") as f:
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with open(config_path, "r", encoding="utf-8") as f:
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json_dict = json.load(f)
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json_dict = json.load(f)
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json_dict["data"]["num_styles"] = len(style_name_list)
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json_dict["data"]["num_styles"] = len(style_name_list)
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style_dict = {name: i for i, name in enumerate(style_name_list)}
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style_dict = {name: i for i, name in enumerate(style_name_list)}
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json_dict["data"]["style2id"] = style_dict
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json_dict["data"]["style2id"] = style_dict
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with open(config_path, "w") as f:
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with open(config_path, "w", encoding="utf-8") as f:
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json.dump(json_dict, f, indent=2)
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json.dump(json_dict, f, indent=2)
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return f"成功!\n{style_vector_path}に保存し{config_path}を更新しました。"
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return f"成功!\n{style_vector_path}に保存し{config_path}を更新しました。"
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@@ -39,10 +39,12 @@ def initialize(model_name, batch_size, epochs, save_every_steps, bf16_run):
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logger.info("Step 1: start initialization...")
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logger.info("Step 1: start initialization...")
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dataset_path, _, train_path, val_path, config_path = get_path(model_name)
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dataset_path, _, train_path, val_path, config_path = get_path(model_name)
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if os.path.isfile(config_path):
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if os.path.isfile(config_path):
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config = json.load(open(config_path, "r", encoding="utf-8"))
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with open(config_path, "r", encoding="utf-8") as f:
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config = json.load(f)
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else:
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else:
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# Use default config
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# Use default config
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config = json.load(open("configs/config.json", "r", encoding="utf-8"))
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with open("configs/config.json", "r", encoding="utf-8") as f:
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config = json.load(f)
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config["model_name"] = model_name
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config["model_name"] = model_name
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config["data"]["training_files"] = train_path
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config["data"]["training_files"] = train_path
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config["data"]["validation_files"] = val_path
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config["data"]["validation_files"] = val_path
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