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Upload diffusion policy checkpoint at step 100000

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  1. pretrained_model/config.json +76 -0
pretrained_model/config.json ADDED
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+ {
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+ "type": "diffusion",
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+ "n_obs_steps": 2,
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+ "normalization_mapping": {
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+ "VISUAL": "MEAN_STD",
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+ "STATE": "MIN_MAX",
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+ "ACTION": "MIN_MAX"
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+ },
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+ "input_features": {
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+ "observation.state": {
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+ "type": "STATE",
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+ "shape": [
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+ 14
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+ ]
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+ },
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+ "observation.images.head_camera": {
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+ "type": "VISUAL",
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+ "shape": [
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+ 3,
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+ 256,
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+ 256
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+ ]
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+ }
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+ },
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+ "output_features": {
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+ "action": {
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+ "type": "ACTION",
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+ "shape": [
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+ 16
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+ ]
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+ }
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+ },
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+ "device": "cuda",
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+ "use_amp": false,
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+ "horizon": 16,
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+ "n_action_steps": 8,
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+ "drop_n_last_frames": 7,
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+ "vision_backbone": "resnet18",
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+ "crop_shape": [
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+ 224,
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+ 224
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+ ],
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+ "crop_is_random": true,
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+ "pretrained_backbone_weights": null,
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+ "use_group_norm": true,
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+ "spatial_softmax_num_keypoints": 32,
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+ "use_separate_rgb_encoder_per_camera": false,
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+ "down_dims": [
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+ 512,
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+ 1024,
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+ 2048
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+ ],
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+ "kernel_size": 5,
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+ "n_groups": 8,
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+ "diffusion_step_embed_dim": 128,
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+ "use_film_scale_modulation": true,
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+ "noise_scheduler_type": "DDPM",
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+ "num_train_timesteps": 100,
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+ "beta_schedule": "squaredcos_cap_v2",
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+ "beta_start": 0.0001,
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+ "beta_end": 0.02,
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+ "prediction_type": "epsilon",
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+ "clip_sample": true,
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+ "clip_sample_range": 1.0,
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+ "num_inference_steps": null,
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+ "do_mask_loss_for_padding": false,
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+ "optimizer_lr": 0.0001,
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+ "optimizer_betas": [
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+ 0.95,
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+ 0.999
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+ ],
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+ "optimizer_eps": 1e-08,
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+ "optimizer_weight_decay": 1e-06,
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+ "scheduler_name": "cosine",
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+ "scheduler_warmup_steps": 500
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+ }