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RT3

step1: Download the pre-compressed model

Or

step2: Environment

conda env create -f pytorch_BCM_pruning.yml

  • python=3.6.9
  • pytorch=1.3.0
  • tensorboard=1.14.0
  • torchtext=0.4.0
  • torchvision=0.4.1
  • ......

step3: start from rl_controller.py

  • Modify the rl_input.py "timing_constraint":115#115 for high, 104 for middle,94 for low for different timing constraints
  • run: CUDA_VISIBLE_DEVICES=XXX nohup python -u d_rl_controller.py > result

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