SEAL

This is the code for SEAL.

To run the experiments, you need:

Build TVM (we tested on the version published on Feb.21, 2022, we use Python 3.8.10).
Build DietCode (in the main branch).
Run nohup python3 solution0.py --cuda 0 > solution0_nohupout0.log 2>&1 & in TVM environment.
Switch to DietCode environment, go to the folder DietCode/tests/codegen, copy the generated schedules to this foler, and run CUDA_VISIBLE_DEVICES=0 python3 run_local_padding_server.py to measure latency.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
FINAL_feedback_search_log_hub		FINAL_feedback_search_log_hub
FINAL_mick_pysched_hub		FINAL_mick_pysched_hub
measured_cost_hub		measured_cost_hub
source_code_in_TVM		source_code_in_TVM
LICENSE		LICENSE
README.md		README.md
Ssp_black_dict_pyfile.py		Ssp_black_dict_pyfile.py
cost_model_params_bmm_convhull1.py		cost_model_params_bmm_convhull1.py
cost_model_params_bmm_nn_convhull1.py		cost_model_params_bmm_nn_convhull1.py
cost_model_params_conv2d_convhull6.py		cost_model_params_conv2d_convhull6.py
cost_model_params_dense_convhull3.py		cost_model_params_dense_convhull3.py
helper_functions.py		helper_functions.py
prepare_cost_model.py		prepare_cost_model.py
run_local_padding_server.py		run_local_padding_server.py
solution0.py		solution0.py

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