Ignore MatMul due to non constant B: /[/transformer/layers.0/self_attn/MatMul]

[Luyuxiang-Hi]

When I run the code below in the notebook "onnx_model_example.ipynb", a warning occurs: quantize_dynamic( model_input=onnx_model_path, model_output=onnx_model_quantized_path, optimize_model=True, per_channel=False, reduce_range=False, weight_type=QuantType.QUInt8, ) onnx_model_path = onnx_model_quantized_path the warning is: Ignore MatMul due to non constant B: /[/transformer/layers.0/self_attn/MatMul] Ignore MatMul due to non constant B: /[/transformer/layers.0/self_attn/MatMul_1] Ignore MatMul due to non constant B: /[/transformer/layers.0/cross_attn_token_to_image/MatMul] Ignore MatMul due to non constant B: /[/transformer/layers.0/cross_attn_token_to_image/MatMul_1] Ignore MatMul due to non constant B: /[/transformer/layers.0/cross_attn_image_to_token/MatMul] Ignore MatMul due to non constant B: /[/transformer/layers.0/cross_attn_image_to_token/MatMul_1] Ignore MatMul due to non constant B: /[/transformer/layers.1/self_attn/MatMul] Ignore MatMul due to non constant B: /[/transformer/layers.1/self_attn/MatMul_1] Ignore MatMul due to non constant B: /[/transformer/layers.1/cross_attn_token_to_image/MatMul] Ignore MatMul due to non constant B: /[/transformer/layers.1/cross_attn_token_to_image/MatMul_1] Ignore MatMul due to non constant B: /[/transformer/layers.1/cross_attn_image_to_token/MatMul] Ignore MatMul due to non constant B: /[/transformer/layers.1/cross_attn_image_to_token/MatMul_1] Ignore MatMul due to non constant B: /[/transformer/final_attn_token_to_image/MatMul] Ignore MatMul due to non constant B: /[/transformer/final_attn_token_to_image/MatMul_1] Ignore MatMul due to non constant B: /[/MatMul_1]

Will this affect the performance of the SAM?