change default ft_denoising_steps in eval configs to 0 (assume evaluating pre-trained models)
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@@ -19,7 +19,7 @@ denoising_steps: 20
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cond_steps: 1
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horizon_steps: 4
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act_steps: 4
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ft_denoising_steps: 10
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ft_denoising_steps: 0
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n_steps: 250 # each episode can take maximum (max_episode_steps / act_steps, =250 right now) steps but may finish earlier in gym. We only count episodes finished within n_steps for evaluation.
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render_num: 0
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@@ -41,7 +41,7 @@ env:
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reset_within_step: True
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model:
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_target_: model.diffusion.diffusion_eval_ft.DiffusionEvalFT
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_target_: model.diffusion.diffusion_eval_ft.DiffusionEval
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ft_denoising_steps: ${ft_denoising_steps}
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predict_epsilon: True
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denoised_clip_value: 1.0
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