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Functions1,187 in github.com/TeleHuman/TextOp

↓ 109 callersMethodto
(self, device)
TextOpRobotMDAR/robotmdar/model/operator/position_encoding.py:21
↓ 57 callersMethodmean
(self)
deps/rsl_rl-modular-normed/rsl_rl/modules/normalizer.py:35
↓ 51 callersFunctionstrcpy_arr
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/array_safety.h:102
↓ 40 callersMethodload
(self, path: str, load_optimizer: bool = True)
deps/rsl_rl-modular-normed/rsl_rl/runners/on_policy_runner.py:426
↓ 36 callersMethodparameters
(self)
TextOpRobotMDAR/robotmdar/diffusion/respace.py:138
↓ 32 callersFunction_extract_into_tensor
Extract values from a 1-D numpy array for a batch of indices. :param arr: the 1-D numpy array. :param timesteps: a tensor of indices int
TextOpRobotMDAR/robotmdar/diffusion/gaussian_diffusion.py:1446
↓ 27 callersMethodlog
(self, *args, level=INFO)
TextOpRobotMDAR/robotmdar/diffusion/logger.py:376
↓ 27 callersMethodupdate
TextOpDeploy/src/textop_ctrl/include/common/gamepad.hpp:55
↓ 23 callersMethodeval
(self)
deps/rsl_rl-modular-normed/rsl_rl/modules/rnd.py:147
↓ 20 callersFunctionquat_apply
(a: Tensor, b: Tensor, w_last: bool)
TextOpRobotMDAR/robotmdar/dtype/rotation.py:21
↓ 19 callersFunctionsprintf_arr
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/array_safety.h:71
↓ 17 callersMethodload_state_dict
Load the parameters of the actor-critic model. Args: state_dict (dict): State dictionary of the model. strict (bool):
deps/rsl_rl-modular-normed/rsl_rl/modules/actor_critic.py:135
↓ 16 callersMethodadd_scalar
(self, tag, scalar_value, global_step=None, walltime=None, new_style=False)
deps/rsl_rl-modular-normed/rsl_rl/utils/wandb_utils.py:57
↓ 15 callersFunctionmjui0_update_section
update an entire section of ui0
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/simulate.cc:600
↓ 15 callersMethodset
TextOpDeploy/src/textop_ctrl/src/remote_controller.cpp:11
↓ 14 callersFunctionUiModify
modify UI
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/simulate.cc:1428
↓ 14 callersMethodreconstruct_motion
Reconstruct motion from features
TextOpRobotMDAR/robotmdar/dataloader/data.py:365
↓ 13 callersMethodclear
(self)
deps/rsl_rl-modular-normed/rsl_rl/storage/rollout_storage.py:142
↓ 13 callersMethodclose
(self)
TextOpRobotMDAR/robotmdar/diffusion/logger.py:391
↓ 12 callersMethodInit
TextOpDeploy/src/unitree_mujoco/example/cpp/stand_go2.cpp:86
↓ 12 callersFunctioneuler_angles_to_quaternion
Convert Euler angles to quaternion. Input: euler (..., 3) → roll, pitch, yaw Output: quaternion (..., 4) in xyzw order
TextOpRobotMDAR/robotmdar/dtype/rotation.py:735
↓ 12 callersMethodget_axis
(j)
TextOpRobotMDAR/robotmdar/skeleton/forward_kinematics.py:156
↓ 12 callersFunctionlist_to_str
(vec)
TextOpDeploy/src/unitree_mujoco/terrain_tool/terrain_generator.py:74
↓ 12 callersFunctionquat_mul
(a, b, w_last: bool)
TextOpRobotMDAR/robotmdar/dtype/rotation.py:388
↓ 11 callersMethodstep
Apply input action on the environment. The extra information is a dictionary. It includes metrics such as the episode reward, episode length,
deps/rsl_rl-modular-normed/rsl_rl/env/vec_env.py:89
↓ 11 callersFunctionstrcat_arr
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/array_safety.h:83
↓ 10 callersMethodnormalize
Normalize features
TextOpRobotMDAR/robotmdar/dataloader/data.py:357
↓ 10 callersMethodreset
(self, env_ids: Sequence[int])
TextOpTracker/source/textop_tracker/textop_tracker/robots/actuator.py:36
↓ 9 callersMethoddecode
( self, z: Tensor, history_motion, nfuture, scale_latent: bool = False
TextOpRobotMDAR/robotmdar/model/mld_vae.py:172
↓ 9 callersFunctionget_current
()
TextOpRobotMDAR/robotmdar/diffusion/logger.py:325
↓ 9 callersFunctionquaternion_to_euler_angles
Convert quaternion (xyzw) to Euler angles (roll, pitch, yaw) using XYZ convention. Input: q (..., 4) with xyzw format Output: (..., 3) →
TextOpRobotMDAR/robotmdar/dtype/rotation.py:708
↓ 8 callersFunctionIsDifferent
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/simulate.cc:62
↓ 8 callersFunction_get_clones
(module, N)
TextOpRobotMDAR/robotmdar/model/operator/cross_attention.py:387
↓ 8 callersMethodcreate_float32_multi_array
Helper function to create Float32MultiArray with proper dimension info Args: data: numpy array or list of data
TextOpDeploy/src/textop_ctrl/scripts/npz_motion_publisher.py:165
↓ 8 callersMethodforward_kinematics
输入: motion_dict (root_trans_offset, root_rot, dof, contact_mask) 输出: FK后的全局位姿信息(dict,含global_translation, global_rotation等) 支
TextOpRobotMDAR/robotmdar/skeleton/robot.py:47
↓ 8 callersFunctionget_zero_abs_pose
(batch_shape: Tuple[int, ...], device: str = 'cuda')
TextOpRobotMDAR/robotmdar/dtype/motion.py:1181
↓ 8 callersMethodlog
(self, locs: dict, width: int = 80, pad: int = 35)
deps/rsl_rl-modular-normed/rsl_rl/runners/on_policy_runner.py:290
↓ 8 callersMethodp_mean_variance
Apply the model to get p(x_{t-1} | x_t), as well as a prediction of the initial x, x_0. :param model: the model, which takes
TextOpRobotMDAR/robotmdar/diffusion/gaussian_diffusion.py:294
↓ 8 callersMethodupdate
(self)
deps/rsl_rl-modular-normed/rsl_rl/algorithms/ppo.py:188
↓ 7 callersMethod_predict_eps_from_xstart
(self, x_t, t, pred_xstart)
TextOpRobotMDAR/robotmdar/diffusion/gaussian_diffusion.py:428
↓ 7 callersMethodbackward
(ctx, *output_grads)
TextOpRobotMDAR/robotmdar/diffusion/nn.py:161
↓ 7 callersMethodhold_model
(self, vae, denoiser, optimizer, dataset)
TextOpRobotMDAR/robotmdar/train/manager.py:697
↓ 7 callersMethodq_sample
Diffuse the dataset for a given number of diffusion steps. In other words, sample from q(x_t | x_0). :param x_start: the in
TextOpRobotMDAR/robotmdar/diffusion/gaussian_diffusion.py:255
↓ 7 callersMethodsave
Save the model and training information.
TextOpTracker/source/textop_tracker/textop_tracker/utils/my_on_policy_runner.py:38
↓ 7 callersFunctionstrlen_arr
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/array_safety.h:56
↓ 7 callersMethodtrain
(self, mode: bool = True)
deps/rsl_rl-modular-normed/rsl_rl/modules/rnd.py:138
↓ 7 callersMethodzero_grad
(self)
TextOpRobotMDAR/robotmdar/diffusion/fp16_util.py:173
↓ 6 callersMethod__init__
(self, d_model=512, nhead=8, num_encoder_layers=6, num_decoder_layers=6, dim_feedforward=2048
TextOpRobotMDAR/robotmdar/model/operator/cross_attention.py:129
↓ 6 callersFunction_get_body_indexes
(command: MotionCommand, body_names: list[str] | None)
TextOpTracker/source/textop_tracker/textop_tracker/tasks/tracking/mdp/rewards.py:17
↓ 6 callersFunctiongenerate_next_motion
Generate next motion segment using DAR model. Args: vae: VAE model for encoding/decoding denoiser: Denoiser model for di
TextOpRobotMDAR/robotmdar/eval/generate_dar.py:42
↓ 6 callersFunctionlog
Write the sequence of args, with no separators, to the console and output files (if you've configured an output file).
TextOpRobotMDAR/robotmdar/diffusion/logger.py:247
↓ 6 callersMethodlogkv_mean
(self, key, val)
TextOpRobotMDAR/robotmdar/diffusion/logger.py:350
↓ 6 callersFunctionmatrix_to_rot6d
Convert rotation matrix to 6D rotation representation. Args: rotmat (B x T x 3 x 3): Batch of rotation matrices with temporal dimensi
TextOpRobotMDAR/robotmdar/dtype/rotation.py:569
↓ 6 callersFunctionnormalize
(x, eps: float = 1e-9)
deps/isaac_utils/isaac_utils/maths.py:9
↓ 6 callersMethodreport_scalar
(self, name, value, iteration, group_name=None)
TextOpRobotMDAR/robotmdar/train/train_platforms.py:9
↓ 6 callersMethodstd
(self)
deps/rsl_rl-modular-normed/rsl_rl/modules/normalizer.py:39
↓ 6 callersMethodwith_pos_embed
(self, tensor, pos: Optional[Tensor])
TextOpRobotMDAR/robotmdar/model/operator/cross_attention.py:320
↓ 5 callersMethodAddBox
(self, position=[1.0, 0.0, 0.0], euler=[0.0, 0.0, 0.0], size=[0.
TextOpDeploy/src/unitree_mujoco/terrain_tool/terrain_generator.py:87
↓ 5 callersMethod__init__
(self, in_dim, h_dims=[128, 128], activation='tanh',
TextOpRobotMDAR/robotmdar/model/mld_denoiser.py:236
↓ 5 callersMethod_predict_xstart_from_eps
(self, x_t, t, eps)
TextOpRobotMDAR/robotmdar/diffusion/gaussian_diffusion.py:413
↓ 5 callersMethodencode
( self, future_motion, history_motion, scale_latent: bool = False, )
TextOpRobotMDAR/robotmdar/model/mld_vae.py:121
↓ 5 callersMethodevaluate
(self, critic_observations, **kwargs)
deps/rsl_rl-modular-normed/rsl_rl/modules/actor_critic.py:131
↓ 5 callersFunctionmean_flat
Take the mean over all non-batch dimensions.
TextOpRobotMDAR/robotmdar/diffusion/nn.py:87
↓ 5 callersFunctionmotion_dict_to_abs_pose
Pick the Last frame's absolute pose from the feature
TextOpRobotMDAR/robotmdar/dtype/motion.py:72
↓ 5 callersFunctionmotion_dict_to_qpos
(motion_dict: MotionDict)
TextOpRobotMDAR/robotmdar/dtype/motion.py:98
↓ 5 callersFunctionquaternion_to_matrix
WXYZ Convert rotations given as quaternions to rotation matrices. Args: quaternions: quaternions with real part first,
TextOpRobotMDAR/robotmdar/dtype/rotation.py:493
↓ 5 callersFunctionresolve_nn_activation
(act_name: str)
deps/rsl_rl-modular-normed/rsl_rl/utils/utils.py:16
↓ 5 callersFunctionreward_cond_on_pfail
(rew_fn: Callable)
TextOpTracker/source/textop_tracker/textop_tracker/tasks/tracking/mdp/rewards.py:21
↓ 5 callersFunctionstrcmp_arr
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/array_safety.h:48
↓ 5 callersFunctiontree_to_numpy
(x: Union[torch.Tensor, Dict[str, Any], Tuple, list])
TextOpRobotMDAR/robotmdar/dtype/device.py:18
↓ 5 callersFunctionxyzw_to_wxyz
(quat)
TextOpRobotMDAR/robotmdar/dtype/rotation.py:565
↓ 4 callersFunctionCopy
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/simulate.cc:98
↓ 4 callersFunctionGetSavePath
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/simulate.cc:47
↓ 4 callersMethod__init__
(self, tensors, mask: Optional[Tensor])
TextOpRobotMDAR/robotmdar/model/operator/position_encoding.py:17
↓ 4 callersMethod__post_init__
(self)
TextOpTracker/source/textop_tracker/textop_tracker/tasks/tracking/config/g1/flat_env_cfg.py:11
↓ 4 callersMethod_create_msg_array
Helper function to create Float32MultiArray with proper dimension info
TextOpDeploy/src/textop_ctrl/scripts/rmdar.py:251
↓ 4 callersMethod_scale_timesteps
(self, t)
TextOpRobotMDAR/robotmdar/diffusion/respace.py:110
↓ 4 callersMethod_wrap_model
(self, model)
TextOpRobotMDAR/robotmdar/diffusion/respace.py:104
↓ 4 callersMethodact_inference
(self, observations)
deps/rsl_rl-modular-normed/rsl_rl/modules/actor_critic.py:127
↓ 4 callersMethodcalc_loss
( self, future_motion_gt, future_motion_pred, latent, dist=None,
TextOpRobotMDAR/robotmdar/train/manager.py:786
↓ 4 callersFunctionconv2d_gradfix
( transpose, weight_shape, stride, padding, output_padding, dilation, groups )
TextOpRobotMDAR/robotmdar/model/operator/conv2d_gradfix.py:104
↓ 4 callersFunctioncopysign
(a, b)
deps/isaac_utils/isaac_utils/maths.py:20
↓ 4 callersMethoddetach_hidden_states
(self, dones=None)
deps/rsl_rl-modular-normed/rsl_rl/networks/memory.py:53
↓ 4 callersFunctionensure_tuple
(xs, ndim)
TextOpRobotMDAR/robotmdar/model/operator/conv2d_gradfix.py:95
↓ 4 callersFunctioneuler_to_quat
(roll, pitch, yaw)
TextOpDeploy/src/unitree_mujoco/terrain_tool/terrain_generator.py:12
↓ 4 callersMethodextract_array_data
Extract data from Float32MultiArray message
TextOpDeploy/src/textop_ctrl/scripts/motion_watcher.py:106
↓ 4 callersFunctionlog_memory
(message)
dataset/smplx_to_robot_dataset.py:41
↓ 4 callersMethodpost_step
每步训练后调用
TextOpRobotMDAR/robotmdar/train/manager.py:98
↓ 4 callersMethodpre_step
每步训练前调用
TextOpRobotMDAR/robotmdar/train/manager.py:81
↓ 4 callersMethodq_posterior_mean_variance
Compute the mean and variance of the diffusion posterior: q(x_{t-1} | x_t, x_0)
TextOpRobotMDAR/robotmdar/diffusion/gaussian_diffusion.py:274
↓ 4 callersMethodquantization
(tensor, bits=8)
TextOpRobotMDAR/robotmdar/train/manager.py:327
↓ 4 callersFunctionquat_conjugate
(a: Tensor, w_last: bool)
TextOpRobotMDAR/robotmdar/dtype/rotation.py:51
↓ 4 callersFunctionquat_inverse
The inverse of the rotation
TextOpRobotMDAR/robotmdar/dtype/rotation.py:304
↓ 4 callersFunctionquat_unit
(a)
deps/isaac_utils/isaac_utils/rotations.py:17
↓ 4 callersMethodreset
Reset all environment instances. Returns: Tuple containing the observations and extras.
deps/rsl_rl-modular-normed/rsl_rl/env/vec_env.py:80
↓ 4 callersMethodsample
Importance-sample timesteps for a batch. :param batch_size: the number of timesteps. :param device: the torch device to save
TextOpRobotMDAR/robotmdar/diffusion/resample.py:42
↓ 4 callersMethodsave
(self, path: str, infos=None)
deps/rsl_rl-modular-normed/rsl_rl/runners/on_policy_runner.py:402
↓ 4 callersFunctionset
(seed=0, torch_deterministic=False)
TextOpRobotMDAR/robotmdar/dtype/seed.py:8
↓ 4 callersFunctiontermination_cond_on_pfail
(term_fn: Callable)
TextOpTracker/source/textop_tracker/textop_tracker/tasks/tracking/mdp/terminations.py:43
↓ 3 callersFunctionClearTimers
clear all times
TextOpDeploy/src/unitree_mujoco/simulate/src/mujoco/simulate.cc:1252
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