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examples/benchmarks/compression/final_exp/mcmc_tt_sim.sh

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@@ -41,15 +41,15 @@ run_single_scene() {
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echo "Running $SCENE on GPU: $GPU_ID"
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# train without eval
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# CUDA_VISIBLE_DEVICES=$GPU_ID python simple_trainer.py mcmc --eval_steps -1 --disable_viewer --data_factor 1 \
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# --strategy.cap-max $CAP_MAX \
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# --data_dir $SCENE_DIR/$SCENE/ \
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# --result_dir $RESULT_DIR/$SCENE/ \
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# --compression_sim \
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# --entropy_model_opt \
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# --rd_lambda $RD_LAMBDA \
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# --shN_ada_mask_opt \
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# --compression png
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CUDA_VISIBLE_DEVICES=$GPU_ID python simple_trainer.py mcmc --eval_steps -1 --disable_viewer --data_factor 1 \
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--strategy.cap-max $CAP_MAX \
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--data_dir $SCENE_DIR/$SCENE/ \
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--result_dir $RESULT_DIR/$SCENE/ \
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--compression_sim \
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--entropy_model_opt \
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--rd_lambda $RD_LAMBDA \
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--shN_ada_mask_opt \
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--compression png
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# eval: use vgg for lpips to align with other benchmarks

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