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Functions864 in github.com/ReinFlow/ReinFlow

Method__init__
(self, cfg)
agent/eval/eval_shortcut_img_agent.py:34
Method__init__
(self, cfg)
agent/eval/eval_agent_base.py:45
Method__init__
(self, cfg)
agent/eval/eval_agent_img_base.py:35
Method__init__
(self, cfg)
agent/finetune/train_agent.py:42
Method__init__
(self, cfg)
agent/finetune/reinflow/train_ppo_diffusion_img_agent.py:40
Method__init__
(self, cfg)
agent/finetune/reinflow/train_ppo_flow_agent.py:48
Method__init__
(self, cfg)
agent/finetune/reinflow/train_ppo_flow_img_agent.py:40
Method__init__
(self, cfg)
agent/finetune/reinflow/train_agent.py:40
Method__init__
(self, cfg)
agent/finetune/reinflow/train_ppo_agent.py:48
Method__init__
(self, cfg)
agent/finetune/reinflow/train_ppo_gaussian_agent.py:40
Method__init__
(self, cfg)
agent/finetune/reinflow/train_ppo_shortcut_img_agent.py:35
Method__init__
(self, cfg)
agent/finetune/reinflow/train_ppo_shortcut_agent.py:44
Method__init__
(self, cfg)
agent/finetune/reinflow/train_ppo_diffusion_agent.py:43
Method__init__
(self, n_steps, n_envs, n_ft_denoising_steps,
agent/finetune/reinflow/buffer.py:245
Method__init__
(self, n_steps, n_envs, n_ft_denoising_steps,
agent/finetune/reinflow/buffer.py:312
Method__init__
(self, n_steps, n_envs, n_ft_denoising_steps,
agent/finetune/reinflow/buffer.py:463
Method__init__
(self, n_steps, n_envs, n_ft_denoising_steps,
agent/finetune/reinflow/buffer.py:638
Method__init__
(self, n_steps, n_envs, n_ft_denoising_steps,
agent/finetune/reinflow/buffer.py:802
Method__init__
(self, n_steps, n_envs, n_ft_denoising_steps,
agent/finetune/reinflow/buffer.py:870
Method__init__
(self, n_steps, n_envs, n_ft_denoising_steps,
agent/finetune/reinflow/buffer.py:1026
Method__init__
(self, n_steps, n_envs, n_ft_denoising_steps,
agent/finetune/reinflow/buffer.py:1212
Method__init__
(self, cfg)
agent/finetune/flow_baselines/train_sac_agent.py:43
Method__init__
(self, cfg)
agent/finetune/flow_baselines/train_fql_agent.py:42
Method__init__
(self, cfg)
agent/finetune/offlinerl_baselines/train_rlpd_agent.py:45
Method__init__
(self, cfg)
agent/finetune/offlinerl_baselines/train_calql_agent.py:43
Method__init__
(self, cfg)
agent/finetune/offlinerl_baselines/train_ibrl_agent.py:45
Method__init__
(self, cfg)
agent/finetune/dppo/train_ppo_gaussian_img_agent.py:44
Method__init__
(self, cfg)
agent/finetune/dppo/train_ppo_diffusion_img_agent.py:46
Method__init__
(self, cfg)
agent/finetune/dppo/train_ppo_agent.py:40
Method__init__
(self, cfg)
agent/finetune/dppo/train_ppo_gaussian_agent.py:44
Method__init__
(self, cfg)
agent/finetune/dppo/train_ppo_diffusion_agent.py:44
Method__init__
(self, cfg)
agent/finetune/diffusion_baselines/train_idql_diffusion_agent.py:48
Method__init__
(self, cfg)
agent/finetune/diffusion_baselines/train_rwr_diffusion_agent.py:44
Method__init__
(self, cfg)
agent/finetune/diffusion_baselines/train_awr_diffusion_agent.py:89
Method__init__
(self, cfg)
agent/finetune/diffusion_baselines/train_qsm_diffusion_agent.py:48
Method__init__
(self, cfg)
agent/finetune/diffusion_baselines/train_dql_diffusion_agent.py:51
Method__init__
(self, cfg)
agent/finetune/diffusion_baselines/train_dipo_diffusion_agent.py:50
Method__init__
(self, cfg)
agent/pretrain/train_reflow_agent.py:33
Method__init__
(self, cfg)
agent/pretrain/train_gaussian_agent.py:34
Method__init__
(self, n_envs, name, max_episode_steps, reset_at_iterati
agent/pretrain/train_agent.py:22
Method__init__
(self, cfg)
agent/pretrain/train_agent.py:51
Method__init__
(self, cfg)
agent/pretrain/train_shortcut_agent.py:35
Method__init__
(self, cfg)
agent/pretrain/train_diffusion_agent.py:31
Method__len__
(self)
agent/dataset/sequence.py:172
Method__len__
(self)
agent/dataset/d3il_dataset/stacking_dataset.py:209
Method__len__
(self)
agent/dataset/d3il_dataset/stacking_dataset.py:384
Method__len__
(self)
agent/dataset/d3il_dataset/pushing_dataset.py:150
Method__len__
(self)
agent/dataset/d3il_dataset/sorting_dataset.py:273
Method__len__
(self)
agent/dataset/d3il_dataset/sorting_dataset.py:463
Method__len__
(self)
agent/dataset/d3il_dataset/avoiding_dataset.py:115
Method__len__
(self)
agent/dataset/d3il_dataset/aligning_dataset.py:155
Method__len__
(self)
agent/dataset/d3il_dataset/aligning_dataset.py:328
Method__repr__
(self)
env/gym_utils/vector_env.py:243
Method__repr__
(self)
env/gym_utils/vector_env.py:300
Method_check_spaces
(self)
env/gym_utils/async_vector_env.py:635
Method_init_weights
(self, module)
model/common/transformer.py:338
Function_make_env
()
env/gym_utils/__init__.py:155
Function_worker
(index, env_fn, pipe, parent_pipe, shared_memory, error_queue)
env/gym_utils/async_vector_env.py:736
Function_worker_shared_memory
(index, env_fn, pipe, parent_pipe, shared_memory, error_queue)
env/gym_utils/async_vector_env.py:799
Methodadd
(self, step, state_venv, chains_actions_venv, reward_venv, terminated_venv, truncated_venv, value_venv, logpro
agent/finetune/reinflow/buffer.py:292
Methodadd
(self, step, state_venv, chains_actions_venv, reward_venv, terminated_venv, truncated_venv, value_venv, logpro
agent/finetune/reinflow/buffer.py:377
Methodadd
(self, step, prev_obs_venv, chains_actions_venv, reward_venv, terminated_venv, truncated_venv)
agent/finetune/reinflow/buffer.py:522
Methodadd
(self, step, prev_obs_venv, chains_actions_venv, reward_venv, terminated_venv, truncated_venv)
agent/finetune/reinflow/buffer.py:712
Methodadd
(self, step, state_venv, chains_actions_venv, reward_venv, terminated_venv, truncated_venv, value_venv, logpro
agent/finetune/reinflow/buffer.py:848
Methodadd
(self, step, state_venv, chains_actions_venv, reward_venv, terminated_venv, truncated_venv, value_venv, logpro
agent/finetune/reinflow/buffer.py:928
Methodadd
(self, step, prev_obs_venv, chains_actions_venv, reward_venv, terminated_venv, truncated_venv)
agent/finetune/reinflow/buffer.py:1088
Methodadd
(self, step, prev_obs_venv, chains_actions_venv, reward_venv, terminated_venv, truncated_venv)
agent/finetune/reinflow/buffer.py:1287
Methodcall
(self, name, *args, **kwargs)
env/gym_utils/sync_vector_env.py:184
Methodcall_async
Parameters ---------- name : string Name of the method or property to call. *args Arguments
env/gym_utils/async_vector_env.py:480
Methodcall_wait
Parameters ---------- timeout : int or float, optional Number of seconds before the call to `step_wait` times out
env/gym_utils/async_vector_env.py:505
Methodcheck_gradient_flow
(self)
model/flow/ft_ppo/ppoflow.py:152
Methodclose
(self, **kwargs)
env/gym_utils/vector_env.py:281
Methodclose_extras
Close the environments & clean up the extra resources (processes and pipes). Parameters ---------- timeout : int or f
env/gym_utils/async_vector_env.py:572
Methodclose_extras
(self, **kwargs)
env/gym_utils/vector_env.py:284
Methodclose_extras
Close the environments.
env/gym_utils/sync_vector_env.py:208
Methodcritic_wrapper
for vmap
model/gaussian/gaussian_ibrl.py:79
Methodcritic_wrapper
for vmap
model/gaussian/gaussian_rlpd.py:72
Methodcritic_wrapper
for vmap
model/rl/gaussian_ibrl.py:79
Methodcritic_wrapper
for vmap
model/rl/gaussian_rlpd.py:72
Methoddiscretize
Discretize the SDE in the form: x_{i+1} = x_i + f_i(x_i) + G_i z_i. Useful for reverse diffusion sampling and probabiliy flow sampling.
model/diffusion/sde_lib.py:116
Methoddiscretize
Create discretized iteration rules for the reverse diffusion sampler.
model/diffusion/sde_lib.py:168
Methoddiscretize
DDPM discretization.
model/diffusion/sde_lib.py:227
Functiondummy
(*args, **kwargs)
env/plot_traj.py:48
Functioneuler2point_euler
(euler)
agent/dataset/d3il_dataset/geo_transform.py:247
Methodextra_repr
(self)
model/common/modules.py:50
Functionfind_duplicates_in_tensor
(tensor)
util/process.py:78
Methodfit
(self, data_dict)
env/gym_utils/furniture_normalizer.py:38
Methodforward
x : [ batch_size x in_channels x horizon_steps ] cond : [ batch_size x cond_dim] returns: out : [ batch_size x out_c
model/diffusion/unet.py:122
Methodforward
x: (B, Ta, act_dim) time: (B,) or int, diffusion step cond: dict with key state/rgb; more recent obs at the end s
model/diffusion/unet.py:541
Methodforward
x: (B, Ta, Da) time: (B,) or int, diffusion step cond: dict with key state/rgb; more recent obs at the end state:
model/diffusion/mlp_diffusion.py:123
Methodforward
Modifying denoising schedule
model/diffusion/diffusion_rwr.py:87
Methodforward
Forward pass for sampling actions. Args: cond: dict with key state/rgb; more recent obs at the end state
model/diffusion/diffusion_vpg.py:250
Methodforward
Forward pass for sampling actions. Used in evaluating pre-trained/fine-tuned policy. Not modifying diffusion clipping. Args:
model/diffusion/diffusion.py:289
Methodforward
(self, x)
model/diffusion/modules.py:42
Methodforward
(self, x)
model/diffusion/modules.py:58
Methodforward
(self, x)
model/diffusion/modules.py:68
Methodforward
(self, x)
model/diffusion/modules.py:116
Methodforward
assume state-only, no rgb in cond
model/diffusion/diffusion_idql.py:146
Methodforward
inputs: x: (B, Ta, Da) time: (B,) floating point in {0,1/2,1/4,1/8,...1/2^n} shortcut flow time cond: dic
model/flow/mlp_shortcut.py:548
Methodforward
inputs: x: (B, Ta, Da) time: (B,) floating point in {0,1/2,1/4,1/8,...1/2^n} shortcut flow time cond: dic
model/flow/mlp_shortcut.py:630
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