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Refactor: run "hatch run style:fmt"

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tsukumi
2024-10-25 22:18:57 +09:00
parent d762bf4401
commit 375eb7f3a9
2 changed files with 17 additions and 11 deletions
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16
gradio_tabs/merge.py
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@@ -106,7 +106,7 @@ def merge_style_usual(
new_config["data"]["num_styles"] = len(new_style2id)
new_config["data"]["style2id"] = new_style2id
if new_config["data"]["n_speakers"] == 1:
new_config["data"]["spk2id"] = { output_name : 0}
new_config["data"]["spk2id"] = {output_name: 0}
new_config["model_name"] = output_name
save_config(new_config, output_name)
@@ -163,7 +163,7 @@ def merge_style_add_diff(
new_config["data"]["num_styles"] = len(new_style2id)
new_config["data"]["style2id"] = new_style2id
if new_config["data"]["n_speakers"] == 1:
new_config["data"]["spk2id"] = { output_name : 0}
new_config["data"]["spk2id"] = {output_name: 0}
new_config["model_name"] = output_name
save_config(new_config, output_name)
@@ -224,7 +224,7 @@ def merge_style_weighted_sum(
new_config["data"]["num_styles"] = len(new_style2id)
new_config["data"]["style2id"] = new_style2id
if new_config["data"]["n_speakers"] == 1:
new_config["data"]["spk2id"] = { output_name : 0}
new_config["data"]["spk2id"] = {output_name: 0}
new_config["model_name"] = output_name
save_config(new_config, output_name)
@@ -275,7 +275,7 @@ def merge_style_add_null(
new_config["data"]["num_styles"] = len(new_style2id)
new_config["data"]["style2id"] = new_style2id
if new_config["data"]["n_speakers"] == 1:
new_config["data"]["spk2id"] = { output_name : 0}
new_config["data"]["spk2id"] = {output_name: 0}
new_config["model_name"] = output_name
save_config(new_config, output_name)
@@ -371,7 +371,7 @@ def merge_models_usual(
new_config["data"]["num_styles"] = 1
new_config["data"]["style2id"] = {DEFAULT_STYLE: 0}
if new_config["data"]["n_speakers"] == 1:
new_config["data"]["spk2id"] = { output_name : 0}
new_config["data"]["spk2id"] = {output_name: 0}
save_config(new_config, output_name)
neutral_vector_a = style_vectors_a[0]
@@ -455,7 +455,7 @@ def merge_models_add_diff(
new_config["data"]["num_styles"] = 1
new_config["data"]["style2id"] = {DEFAULT_STYLE: 0}
if new_config["data"]["n_speakers"] == 1:
new_config["data"]["spk2id"] = { output_name : 0}
new_config["data"]["spk2id"] = {output_name: 0}
with open(assets_root / output_name / "config.json", "w", encoding="utf-8") as f:
json.dump(new_config, f, indent=2, ensure_ascii=False)
@@ -532,7 +532,7 @@ def merge_models_weighted_sum(
new_config["data"]["num_styles"] = 1
new_config["data"]["style2id"] = {DEFAULT_STYLE: 0}
if new_config["data"]["n_speakers"] == 1:
new_config["data"]["spk2id"] = { output_name : 0}
new_config["data"]["spk2id"] = {output_name: 0}
with open(assets_root / output_name / "config.json", "w", encoding="utf-8") as f:
json.dump(new_config, f, indent=2, ensure_ascii=False)
@@ -610,7 +610,7 @@ def merge_models_add_null(
new_config["data"]["num_styles"] = 1
new_config["data"]["style2id"] = {DEFAULT_STYLE: 0}
if new_config["data"]["n_speakers"] == 1:
new_config["data"]["spk2id"] = { output_name : 0}
new_config["data"]["spk2id"] = {output_name: 0}
with open(assets_root / output_name / "config.json", "w", encoding="utf-8") as f:
json.dump(new_config, f, indent=2, ensure_ascii=False)

12
style_bert_vits2/tts_model.py
View File

@@ -150,7 +150,9 @@ class TTSModel:
hps=self.hyper_parameters,
)
# 愚直。もっと上手い方法ありそう
params = zip(self.net_g.dec.parameters(), null_model_add.dec.parameters())
params = zip(
self.net_g.dec.parameters(), null_model_add.dec.parameters()
)
for v in params:
v[0].data.add_(v[1].data, alpha=float(null_model_info["weight"]))
params = zip(
@@ -165,14 +167,18 @@ class TTSModel:
for v in params:
v[0].data.add_(v[1].data, alpha=float(null_model_info["style"]))
# テンポは sdp と dp 二つあるからとりあえずどっちも足す
params = zip(self.net_g.sdp.parameters(), null_model_add.sdp.parameters())
params = zip(
self.net_g.sdp.parameters(), null_model_add.sdp.parameters()
)
for v in params:
v[0].data.add_(v[1].data, alpha=float(null_model_info["tempo"]))
params = zip(self.net_g.dp.parameters(), null_model_add.dp.parameters())
for v in params:
v[0].data.add_(v[1].data, alpha=float(null_model_info["tempo"]))
logger.info(f"Null models merged successfully ({time.time() - start_time:.2f}s)")
logger.info(
f"Null models merged successfully ({time.time() - start_time:.2f}s)"
)
# ONNX 推論時
else: