Hi,
I use ONNX official mobilenetv2 model([https://s3.amazonaws.com/onnx-model-zoo/mobilenet/mobilenetv2-1.0/mobilenetv2-1.0.onnx](mobilenetv2 onnx)), and follow the tutorialshttps://docs.tvm.ai/tutorials/frontend/from_onnx.html. But I get a very slow performance, each inference cost 8.9s on Nvidia P40.
when I compile the model, I got lots of WARNING like “WARNING:autotvm:Cannot find config for target=cuda -model=unknown, workload=(‘conv2d’, (1, 96, 56, 56, ‘float32’), (24, 96, 1, 1, ‘float32’), (1, 1), (0, 0), (1, 1), ‘NCHW’, ‘float32’). A fallback configuration is used, which may bring great performance regression.
WARNING:autotvm:Cannot find config for target=cuda -model=unknown, workload=(‘depthwise_conv2d_nchw’, (1, 96, 112, 112, ‘float32’), (96, 1, 3, 3, ‘float32’), (2, 2), (1, 1), (1, 1), ‘float32’). A fallback configuration is used, which may bring great performance regression.”
does anyone meet this?