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lint

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Signed-off-by: vladmandic <mandic00@live.com>
This commit is contained in:
vladmandic
2026-01-01 16:33:49 +01:00
parent 98d304a493
commit 4e8b0f83b4
4 changed files with 10 additions and 9 deletions
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TODO.md
+2 -1
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@@ -54,7 +54,8 @@ TODO: *Prioritize*!
- [Bytedance Lynx](https://github.com/bytedance/lynx)
- [ByteDance OneReward](https://github.com/bytedance/OneReward)
- [ByteDance USO](https://github.com/bytedance/USO)
- [Chroma1 Radiance](https://huggingface.co/lodestones/Chroma1-Radiance)
- [Chroma Radiance](https://huggingface.co/lodestones/Chroma1-Radiance)
- [Chroma Zeta](https://huggingface.co/lodestones/Zeta-Chroma)
- [DiffSynth Studio](https://github.com/modelscope/DiffSynth-Studio)
- [DiffusionForcing](https://github.com/kwsong0113/diffusion-forcing-transformer)
- [Dream0 guidance](https://huggingface.co/ByteDance/DreamO)
modules/sdnq/loader.py
+2 -2
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@@ -179,8 +179,8 @@ def apply_sdnq_options_to_module(model, dtype: torch.dtype = None, dequantize_fp
output_channel_size, channel_size = module.sdnq_dequantizer.original_shape
else:
current_use_quantized_matmul = False
current_use_quantized_matmul = current_use_quantized_matmul and channel_size >= 32 and output_channel_size >= 32
current_use_quantized_matmul = current_use_quantized_matmul and output_channel_size % 16 == 0 and channel_size % 16 == 0
current_use_quantized_matmul = current_use_quantized_matmul and channel_size >= 32 and output_channel_size >= 32 # pylint: disable=possibly-used-before-assignment
current_use_quantized_matmul = current_use_quantized_matmul and output_channel_size % 16 == 0 and channel_size % 16 == 0 # pylint: disable=possibly-used-before-assignment
if dtype is not None and module.sdnq_dequantizer.result_dtype != torch.float32:
module.sdnq_dequantizer.result_dtype = dtype
modules/sdnq/packed_float.py
+3 -3
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@@ -21,13 +21,13 @@ def pack_float(x: torch.FloatTensor, weights_dtype: str) -> torch.Tensor:
total_bits = dtype_dict[weights_dtype]["num_bits"]
if dtype_dict[weights_dtype]["is_unsigned"]:
sign_mask = (1 << (total_bits-1))
sign_mask = (1 << (total_bits-1)) # pylint: disable=superfluous-parens
else:
sign_mask = (1 << (total_bits-1)) + (1 << (total_bits-2))
mantissa_difference = 23 - mantissa_bits
exponent_difference = 8 - exponent_bits
mantissa_mask = (1 << mantissa_difference)
mantissa_mask = (1 << mantissa_difference) # pylint: disable=superfluous-parens
x = x.to(dtype=torch.float32).view(torch.int32)
@@ -65,7 +65,7 @@ def unpack_float(x: torch.Tensor, shape: torch.Size, weights_dtype: str) -> torc
total_bits = dtype_dict[weights_dtype]["num_bits"]
if dtype_dict[weights_dtype]["is_unsigned"]:
sign_mask = (1 << (total_bits-1))
sign_mask = (1 << (total_bits-1)) # pylint: disable=superfluous-parens
else:
sign_mask = (1 << (total_bits-1)) + (1 << (total_bits-2))
modules/ui_extensions.py
+3 -3
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@@ -275,9 +275,9 @@ def search_extensions(search_text, sort_column):
def make_wrappable_html(text: str) -> str:
text = html.escape(text)
text = re_snake_case.sub("<wbr />_", text)
return re_camelCase.sub(r"<wbr />\1", text)
text = html.escape(text)
text = re_snake_case.sub("<wbr />_", text)
return re_camelCase.sub(r"<wbr />\1", text)
def create_html(search_text, sort_column):