Hi all,
I've been compiling some gluoncv models and I noticed that the params size of the compiled model increases by a significant amount (1.5x) after optimizing, versus compiling without optimizing. I'm just wondering why this is the case. Concretely, for resnet18v2, if I just compile the model without any autotvm optimization, the compiled model has about 46MB params; if I do even just one iteration of optimization, the compiled model jumps to 77MB params. I'm compiling for CUDA GPU. See here for the example compiled models: * http://people.mpi-sws.org/~jcmace/tvm/resnet18_v2_opt/tvm-model.json * http://people.mpi-sws.org/~jcmace/tvm/resnet18_v2_noopt/tvm-model.json * (for the .so and .params files, replace .json in the above URLs; this message board has a limit of 2 URLs per post) Is this expected behavior? Thanks in advance. Jon --- [Visit Topic](https://discuss.tvm.ai/t/inconsistent-params-size-of-optimized-models-vs-non-optimized/6444/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/a3136571b883d38801d0d82968a6641f230c780e9efc9dc8ba0f1d679a841ad5).
