chore(format): run black on dev (#598)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
This commit is contained in:
github-actions[bot]
2024-07-19 17:17:15 +09:00
committed by GitHub
parent 4ebccbad08
commit 03c4bbef54
4 changed files with 19 additions and 7 deletions
+1
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@@ -1,5 +1,6 @@
import torch
class LlamaRMSNorm(torch.nn.Module):
def __init__(self, hidden_size, eps=1e-6):
"""
+7 -5
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@@ -34,9 +34,7 @@ def replace_decoder(te_decoder_cls, llama_rms_norm_cls):
transformers.models.llama.modeling_llama.LlamaDecoderLayer
)
transformers.models.llama.modeling_llama.LlamaDecoderLayer = te_decoder_cls
original_llama_rms_norm_cls = (
transformers.models.llama.modeling_llama.LlamaRMSNorm
)
original_llama_rms_norm_cls = transformers.models.llama.modeling_llama.LlamaRMSNorm
transformers.models.llama.modeling_llama.LlamaRMSNorm = llama_rms_norm_cls
try:
yield
@@ -44,7 +42,9 @@ def replace_decoder(te_decoder_cls, llama_rms_norm_cls):
transformers.models.llama.modeling_llama.LlamaDecoderLayer = (
original_llama_decoder_cls
)
transformers.models.llama.modeling_llama.LlamaRMSNorm = original_llama_rms_norm_cls
transformers.models.llama.modeling_llama.LlamaRMSNorm = (
original_llama_rms_norm_cls
)
class TELlamaDecoderLayer(te.pytorch.TransformerLayer):
@@ -104,7 +104,9 @@ class TELlamaModel:
"""
def __new__(cls, config: LlamaConfig):
with replace_decoder(te_decoder_cls=TELlamaDecoderLayer, llama_rms_norm_cls=LlamaRMSNorm):
with replace_decoder(
te_decoder_cls=TELlamaDecoderLayer, llama_rms_norm_cls=LlamaRMSNorm
):
model = LlamaModel(config)
return model
+9 -1
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@@ -151,7 +151,15 @@ def refine_text(
def generate_audio(
text, temperature, top_P, top_K, spk_emb_text: str, stream, audio_seed_input, sample_text_input, sample_audio_code_input,
text,
temperature,
top_P,
top_K,
spk_emb_text: str,
stream,
audio_seed_input,
sample_text_input,
sample_audio_code_input,
):
global chat, has_interrupted
+2 -1
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@@ -158,7 +158,8 @@ def main():
sample_audio_input.change(
fn=on_upload_sample_audio,
inputs=sample_audio_input, outputs=sample_audio_code_input,
inputs=sample_audio_input,
outputs=sample_audio_code_input,
).then(fn=lambda: gr.Info("Sampled Audio Code generated at another Tab."))
# 使用Gradio的回调功能来更新数值输入框