Compute Specifications
- Ubuntu 16.04
- Intel® Xeon® CPU E3-1275 v6 @ 3.80GHz
- llvm - 9.0.1
- tvm - ‘0.7.dev0’
Issue Description
I am trying to run the script tune_relay_x86.py with all the default configurations except target = "llvm -mcpu=core-avx2"
. However, I am still observing the following warnings for all convolution and dense layers.
Cannot find config for target=llvm -device=tracing, workload=('conv2d', (1, 128, 28, 28, 'float32'), (128, 128, 3, 3, 'float32'), (1, 1), (1, 1, 1, 1), (1, 1), 'NCHW' , 'float32'). A fallback configuration is used, which may bring great performance regression.
Even though these are merely warning and the script executes successfully, the new compiled models are having slower inference time ,and hence it seems that autotuning isnt performing well at all.
Please let me know where I am going wrong, or how to resolve the issue.
Thanks