Is there a way for PyTorch to use Caffe2's convolution layer?

After converting my PyTorch model to Caffe2, my model gives slightly different result. It is due to the slight numerical difference in the implementation of convolution layer. Hopefully, there is a way for PyTorch to use Caffe2’s version of convolution layer.