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the layer in onnx file corresponding to the tensorrt engine is "Gemm->BatchNormalizaiton->Relu", where 'ctr_hidden_0.weight', 'ctr_hidden_0.bias' in Gemm. I think (Gemm,BN,Relu) has already fused a Conv, but I do not know what is tmp_weight_9 and tmp_weight_8?
Environment
TensorRT Version: 8.5.1.7
The text was updated successfully, but these errors were encountered:
Those are typically created by the ONNX parser in cases where the TensorRT requires weights but the corresponding ONNX op uses an attribute instead. In this case it's most likely the scale/shift for the BN layer.
Those are typically created by the ONNX parser in cases where the TensorRT requires weights but the corresponding ONNX op uses an attribute instead. In this case it's most likely the scale/shift for the BN layer.
Description
When I use refitter.get_all_weights() in engine refitting, it appears "tmp_weight".
'ctr_hidden_0.weight', 'ctr_hidden_0.bias', 'tmp_weight_9', 'tmp_weight_8'
the layer in onnx file corresponding to the tensorrt engine is "Gemm->BatchNormalizaiton->Relu", where 'ctr_hidden_0.weight', 'ctr_hidden_0.bias' in Gemm. I think (Gemm,BN,Relu) has already fused a Conv, but I do not know what is tmp_weight_9 and tmp_weight_8?
Environment
TensorRT Version: 8.5.1.7
The text was updated successfully, but these errors were encountered: