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Refactor: Format Code with Ruff and Update Deprecated G2PW Link (#2255)

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* ruff check --fix

* ruff format --line-length 120 --target-version py39

* Change the link for G2PW Model

* update pytorch version and colab
This commit is contained in:
XXXXRT666
2025-04-07 09:42:47 +01:00
committed by GitHub
parent 9da7e17efe
commit 53cac93589
132 changed files with 8185 additions and 6648 deletions
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13
GPT_SoVITS/AR/modules/patched_mha_with_cache_onnx.py
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@@ -1,11 +1,9 @@
from torch.nn.functional import *
from torch.nn.functional import (
_mha_shape_check,
_canonical_mask,
_none_or_dtype,
_in_projection_packed,
)
def multi_head_attention_forward_patched(
query,
key,
@@ -34,7 +32,6 @@ def multi_head_attention_forward_patched(
is_causal: bool = False,
cache=None,
) -> Tuple[Tensor, Optional[Tensor]]:
# set up shape vars
_, _, embed_dim = query.shape
attn_mask = _canonical_mask(
@@ -80,12 +77,8 @@ def multi_head_attention_forward_patched(
q = q.view(num_heads, -1, head_dim).unsqueeze(0)
k = k.view(num_heads, -1, head_dim).unsqueeze(0)
v = v.view(num_heads, -1, head_dim).unsqueeze(0)
attn_output = scaled_dot_product_attention(
q, k, v, attn_mask, dropout_p, is_causal
)
attn_output = (
attn_output.permute(2, 0, 1, 3).contiguous().view(-1, embed_dim)
)
attn_output = scaled_dot_product_attention(q, k, v, attn_mask, dropout_p, is_causal)
attn_output = attn_output.permute(2, 0, 1, 3).contiguous().view(-1, embed_dim)
attn_output = linear(attn_output, out_proj_weight, out_proj_bias)
attn_output = attn_output.view(-1, 1, attn_output.size(1))