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checkpoints/t2m/rvq_nq6_dc512_nc512_noshare_qdp0.2/meta/mean.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:0bdb5ba69a3a9e34d71990db15bc535ebc024c8d95ddb5574196f96058faa7d3
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size 2232
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checkpoints/t2m/rvq_nq6_dc512_nc512_noshare_qdp0.2/meta/std.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a5f7d60301c9465972fc225f8ad0ee8f957e7720431189123eb6d15873a9557
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size 2232
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checkpoints/t2m/rvq_nq6_dc512_nc512_noshare_qdp0.2/model/net_best_fid.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd42f54df6d4ecf1226959b5a7de3f849a04e76bfb9d8dde0a588f98de180088
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size 84070519
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checkpoints/t2m/rvq_nq6_dc512_nc512_noshare_qdp0.2/opt.txt
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------------ Options -------------
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batch_size: 256
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checkpoints_dir: ./checkpoints
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code_dim: 512
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commit: 0.02
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dataset_name: t2m
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depth: 3
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dilation_growth_rate: 3
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down_t: 2
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eval_every_e: 1
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feat_bias: 5
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gamma: 0.05
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gpu_id: 0
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is_continue: False
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is_train: True
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log_every: 10
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loss_vel: 0.5
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lr: 0.0002
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lr_scheduler: [150000, 250000]
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max_epoch: 50
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mu: 0.99
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name: rvq_nq6_dc512_nc512_noshare_qdp0.2
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nb_code: 512
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num_quantizers: 6
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output_emb_width: 512
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quantize_dropout_prob: 0.2
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recons_loss: l1_smooth
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save_every_e: 2
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save_latest: 500
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shared_codebook: False
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stride_t: 2
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vq_act: relu
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vq_norm: None
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warm_up_iter: 2000
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weight_decay: 0.0
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width: 512
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window_size: 64
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-------------- End ----------------
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