Method__init__(self, env,
plan_horizon,
plan_paths=10,
kappa=1.0,
stage3_RL/mjrl/mjrl/algos/model_accel/model_learning_mpc.py:6
Method__init__(self, state_dim, act_dim,
learn_reward=False,
hidden_size=(64,64),
stage3_RL/mjrl/mjrl/algos/model_accel/nn_dynamics.py:8
Method__init__(self, state_dim, act_dim, hidden_size=(64,64),
s_shift = None,
s_scale = No
stage3_RL/mjrl/mjrl/algos/model_accel/nn_dynamics.py:167
Method__init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0.0, proj_drop=0.0)
stage2_adapt/lib/dino/vision_transformer_flexible.py:72
Method__init__(
self,
dim,
num_heads,
mlp_ratio=4.0,
qkv_bias=False,
qk_scal
stage2_adapt/lib/dino/vision_transformer_flexible.py:103
Method__init__(
self,
img_size=[224],
patch_size=16,
in_chans=3,
num_classes=0,
stage2_adapt/lib/dino/vision_transformer_flexible.py:166
Method__init__(
self, in_dim, out_dim, use_bn=False, norm_last_layer=True, nlayers=3, hidden_dim=2048, bottleneck_di
stage2_adapt/lib/dino/vision_transformer_flexible.py:355
Method__init__(self, img_size, pretrain_k=200, tau_img=1.0, tau_mesh=1.0,
corr_h=56, corr_w=56,
stage2_adapt/lib/dino/corr.py:10
Method__init__(self, cfg, root, image_set, is_train, transform=None, task_name="none")
stage2_adapt/lib/dataset/robotic.py:31
Method__init__(self, num_branches, blocks, num_blocks, num_inchannels,
num_channels, fuse_method, multi_sca
stage2_adapt/lib/models/pose_hrnet.py:102