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logging cleanup

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Signed-off-by: vladmandic <mandic00@live.com>
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vladmandic
2026-01-16 11:32:09 +01:00
parent 952696ab20
commit b3d65f4559
4 changed files with 7 additions and 4 deletions
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modules/model_quant.py
+2 -1
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@@ -236,7 +236,8 @@ def create_sdnq_config(kwargs = None, allow: bool = True, module: str = 'Model',
)
if quantized_matmul_dtype is None:
quantized_matmul_dtype = "auto" # set for logging
log.debug(f'Quantization: module="{module}" type=sdnq mode=pre dtype={weights_dtype} matmul_dtype={quantized_matmul_dtype} matmul={shared.opts.sdnq_use_quantized_matmul} group_size={shared.opts.sdnq_quantize_weights_group_size} svd_rank={shared.opts.sdnq_svd_rank} svd_steps={shared.opts.sdnq_svd_steps} use_svd={shared.opts.sdnq_use_svd} dynamic={shared.opts.sdnq_use_dynamic_quantization} loss={shared.opts.sdnq_dynamic_loss_threshold} quant_conv={shared.opts.sdnq_quantize_conv_layers} matmul_conv={shared.opts.sdnq_use_quantized_matmul_conv} dequantize_fp32={shared.opts.sdnq_dequantize_fp32} quantize_with_gpu={shared.opts.sdnq_quantize_with_gpu} quantization_device={quantization_device} return_device={return_device} device_map={shared.opts.device_map} offload_mode={shared.opts.diffusers_offload_mode} non_blocking={shared.opts.diffusers_offload_nonblocking} modules_to_not_convert={modules_to_not_convert} modules_dtype_dict={modules_dtype_dict}')
svd = f'{shared.opts.sdnq_use_svd} rank={shared.opts.sdnq_svd_rank} steps={shared.opts.sdnq_svd_steps}' if shared.opts.sdnq_use_svd else f'{shared.opts.sdnq_use_svd}'
log.debug(f'Quantization: module="{module}" type=sdnq mode=pre dtype={weights_dtype} svd={svd} dynamic={shared.opts.sdnq_use_dynamic_quantization} group={shared.opts.sdnq_quantize_weights_group_size} loss={shared.opts.sdnq_dynamic_loss_threshold} matmul_dtype={quantized_matmul_dtype} matmul_quant={shared.opts.sdnq_use_quantized_matmul} matmul_conv={shared.opts.sdnq_use_quantized_matmul_conv} quant_conv={shared.opts.sdnq_quantize_conv_layers} fp32={shared.opts.sdnq_dequantize_fp32} device={quantization_device} return={return_device} use_gpu={shared.opts.sdnq_quantize_with_gpu} map={shared.opts.device_map} offload={shared.opts.diffusers_offload_mode} non_blocking={shared.opts.diffusers_offload_nonblocking} skip_modules={modules_to_not_convert} dict={modules_dtype_dict}')
if kwargs is None:
return sdnq_config
else: