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Functions2,539 in github.com/Yonv1943/Python

⨍ Functions 2,539◇ Types & classes 504

↓ 1 callersMethodselect_action

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:25

↓ 1 callersMethodselect_action

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:59

↓ 1 callersMethodselect_action

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:332

↓ 1 callersMethodselect_actions

ElegantRL/agent.py:533

↓ 1 callersMethodselect_actions

ElegantRL/Beta/agent.py:545

↓ 1 callersMethodselect_actions

ElegantRL/Beta/elegantrl/agent.py:533

↓ 1 callersMethodselect_actions

ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/agent.py:197

↓ 1 callersMethodselect_actions

ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/agent.py:701

↓ 1 callersMethodselect_actions

`tensor state` state.shape = (batch_size, state_dim) return `tensor action` action.shape = (batch_size, action_dim) return

ElegantRL/Beta/elegantrl2/agent.py:542

↓ 1 callersMethodselect_actions

`tensor state` state.shape = (batch_size, state_dim) return `tensor action` action.shape = (batch_size, action_dim) return

ElegantRL/elegantrl2/agent.py:617

↓ 1 callersFunctionsoft_target_update

(target, online, tau=5e-3)

Demo_deep_learning/Tutorial.py:174

↓ 1 callersFunctionsoft_update

(target_net, current_net, tau)

Demo_deep_learning/classify_train_mp_ring.py:494

↓ 1 callersFunctionsoft_update

(target_net, current_net, tau)

ElegantRL/Beta/DeepLearning/classify_train_mp_ring.py:494

↓ 1 callersFunctionsoft_update

(target_net, current_net, tau)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/classify_train_mp_ring.py:494

↓ 1 callersMethodstep

(self, actions)

ElegantRL/Beta/beta0.py:173

↓ 1 callersMethodstep_vec

(self, actions)

ElegantRL/Beta/StockTrading.py:373

↓ 1 callersMethodstep_vec

(self, actions)

ElegantRL/Beta/env.py:113

↓ 1 callersMethodstep_vec

(self, actions)

ElegantRL/Beta/beta0.py:47

↓ 1 callersMethodstep_vec

(self, actions)

ElegantRL/Beta/elegantrl2/env.py:91

↓ 1 callersMethodstep_vec

(self, actions)

ElegantRL/elegantrl2/env.py:91

↓ 1 callersFunctiontrain_and_evaluate

ElegantRL/Beta/other/Example_SingleFilePPO.py:439

↓ 1 callersFunctiontrain_and_evaluate

ElegantRL/AgentZoo/ElegantRL-MultiGPU/run.py:277

↓ 1 callersFunctiontrain_and_evaluate_mp_ring

Demo_deep_learning/classify_train_mp_ring.py:170

↓ 1 callersFunctiontrain_and_evaluate_mp_ring

Demo_deep_learning/classify_train_mp.py:169

↓ 1 callersFunctiontrain_and_evaluate_mp_ring

ElegantRL/Beta/DeepLearning/classify_train_mp_ring.py:170

↓ 1 callersFunctiontrain_and_evaluate_mp_ring

ElegantRL/Beta/DeepLearning/classify_train_mp.py:169

↓ 1 callersFunctiontrain_and_evaluate_mp_ring

ElegantRL/AgentZoo/ElegantRL-MultiGPU/classify_train_mp_ring.py:170

↓ 1 callersFunctiontrain_and_evaluate_mp_ring

ElegantRL/AgentZoo/ElegantRL-MultiGPU/classify_train_mp.py:169

↓ 1 callersFunctiontrain_it

ElegantRL/Beta/ceta1.py:35

↓ 1 callersFunctiontrain_mlp_ddp

Demo_deep_learning/DEMO_DataParallel.py:195

↓ 1 callersFunctiontrain_session

(sess_para, data_para, save_gap)

Plan/TUTO_mnist_3layers.py:130

↓ 1 callersMethodupdate_id

(self, data_id, prob=10)

ElegantRL/replay.py:272

↓ 1 callersMethodupdate_id

(self, data_id, prob=10)

ElegantRL/Beta/replay.py:235

↓ 1 callersMethodupdate_id

(self, data_id, prob=10)

ElegantRL/Beta/elegantrl/replay.py:235

↓ 1 callersMethodupdate_id

(self, data_id, prob=10)

ElegantRL/Beta/elegantrl2/replay.py:235

↓ 1 callersMethodupdate_id

(self, data_id, prob=10)

ElegantRL/elegantrl2/replay.py:263

↓ 1 callersMethodupdate_img_shape

(self, img_name)

Plan/DEMO-tensorflow_xml.py:68

↓ 1 callersMethodupdate_net

(self, buffer, batch_size, repeat_times, soft_update_tau)

ElegantRL/Example_SingleFilePPO.py:158

↓ 1 callersMethodupdate_net

(self, buffer, _target_step, batch_size, repeat_times=8)

ElegantRL/Beta/other/Example_SingleFilePPO.py:113

↓ 1 callersMethodupdate_now_len

ElegantRL/Example_SingleFilePPO.py:338

↓ 1 callersMethodupdate_now_len_before_sample

ElegantRL/Beta/other/Example_SingleFilePPO.py:239

↓ 1 callersFunctionupload_file

Demo_camera_and_network/ftp_upload_download.py:24

↓ 1 callersFunctionurl_to_text

(url, tag, tag_class)

Demo/DEMO_url_get_image_urllib.requests.py:21

↓ 1 callersFunctionvida

Plan/DEMO-EvArea-cv2-mp-np.py:38

↓ 1 callersFunctionwhere_is_the_mouse

Demo/DEMO_cv2_MouseDetect.py:206

↓ 1 callersFunctionwrite_xml

(xml_pwd, xml_d, same_key_l, pretty_print=False)

Plan/DEMO-tensorflow_xml.py:20

output a OU-noise :return array ou_noise: a noise generated by Ornstein-Uhlenbeck Process

ElegantRL/agent.py:959

output a OU-noise :return array ou_noise: a noise generated by Ornstein-Uhlenbeck Process

ElegantRL/Beta/agent.py:965

output a OU-noise :return array ou_noise: a noise generated by Ornstein-Uhlenbeck Process

ElegantRL/Beta/elegantrl/agent.py:953

output a OU-noise :return array ou_noise: a noise generated by Ornstein-Uhlenbeck Process

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/agent.py:994

ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/agent.py:1221

output a OU-noise :return array ou_noise: a noise generated by Ornstein-Uhlenbeck Process

ElegantRL/Beta/elegantrl2/agent.py:946

output a OU-noise :return array ou_noise: a noise generated by Ornstein-Uhlenbeck Process

ElegantRL/elegantrl2/agent.py:1020

output a OU-noise :return array ou_noise: a noise generated by Ornstein-Uhlenbeck Process

ElegantRL/AgentZoo/ElegantRL-MultiGPU/agent.py:1233

(self, input_size, out_dim, mid_dim, mid_layers)

Demo_deep_learning/SignalDetectRNN.py:18

(self, env_class: object, env_args: dict, gpu_id: int = -1)

Demo_deep_learning/tutorial__subp_vec_env_gym.py:87

(self, pipe: Pipe, main_p: Pipe, env_class, env_args: dict, env_id: int = 0)

Demo_deep_learning/tutorial__subp_vec_env_gym.py:126

(self, env_class: object, env_args: dict, gpu_id: int = -1)

Demo_deep_learning/tutorial__subp_vec_env_gym.py:160

(self, model, loss)

Demo_deep_learning/DEMO_DataParallel.py:59

(self, inp_dim, mid_dim, out_dim)

Demo_deep_learning/GAN_network.py:49

Demo_deep_learning/GAN_network.py:118

(self, memo_max_len)

Demo_deep_learning/ReplayBufferComparison.py:23

(self, memo_max_len)

Demo_deep_learning/ReplayBufferComparison.py:63

(self, memo_max_len, state_dim, action_dim, )

Demo_deep_learning/ReplayBufferComparison.py:103

Demo_deep_learning/classify_train_mp_ring.py:34

(self, eval__imgs, eval__labs, eval_size, eval_gap, show_gap, criterion)

Demo_deep_learning/classify_train_mp_ring.py:437

Demo_deep_learning/Tutorial.py:11

(self, state_dim, action_dim, mid_dim)

Demo_deep_learning/Tutorial.py:48

(self, state_dim, action_dim, mid_dim)

Demo_deep_learning/Tutorial.py:60

(self, memo_max_len)

Demo_deep_learning/Tutorial.py:73

(self, memo_max_len, state_dim, action_dim, )

Demo_deep_learning/Tutorial.py:113

(self, inp_dim, out_dim, mid_dim, mid_layers)

Demo_deep_learning/Demo_RNN_time_seq_predict.py:281

Demo_deep_learning/classify_train_mp.py:33

(self, eval__imgs, eval__labs, eval_size, eval_gap, show_gap, criterion)

Demo_deep_learning/classify_train_mp.py:411

(self, inp_dim, out_dim, mid_dim, mid_layers)

Demo_deep_learning/RNN_demo_time_seq_predict.py:278

Demo_deep_learning/classify_network.py:10

Demo_deep_learning/classify_network.py:69

Demo_deep_learning/classify_network.py:109

(self, mid_dim=128, img_shape=(32, 32, 3))

Demo_deep_learning/classify_network.py:143

(self, mid_dim=128, img_shape=(32, 32, 3))

Demo_deep_learning/classify_network.py:177

(self, mid_dim=128, img_shape=(32, 32, 3))

Demo_deep_learning/classify_network.py:212

(self, mid_dim=128, img_shape=(32, 32, 3))

Demo_deep_learning/classify_network.py:262

Demo_deep_learning/classify_network.py:315

Demo_deep_learning/tutorial__sub_process_comm.py:23

(self, dir_pwd, root='annotation')

Plan/DEMO-tensorflow_xml.py:37

Demo/DEMO_edge_detection.py:15

(self, img, roi_pts)

Demo/DEMO_edge_detection.py:114

(self, agent=None, env=None, gpu_id=None, if_on_policy=False)

ElegantRL/run.py:15

(self, cwd, agent_id, eval_times1, eval_times2, eval_gap, env, device)

ElegantRL/run.py:990

ElegantRL/test.py:114

(self, mid_dim, state_dim, action_dim)

ElegantRL/net.py:23

(self, mid_dim, state_dim, action_dim)

ElegantRL/net.py:40

(self, mid_dim, state_dim, action_dim)

ElegantRL/net.py:61

(self, mid_dim, state_dim, action_dim)

ElegantRL/net.py:97

(self, mid_dim, state_dim, action_dim, if_use_dn=True)

ElegantRL/net.py:114

(self, mid_dim, state_dim, action_dim, if_use_dn=False)

ElegantRL/net.py:179

(self, mid_dim, state_dim, action_dim, if_use_dn=False)

ElegantRL/net.py:222

(self, mid_dim, state_dim, action_dim)

ElegantRL/net.py:262

(self, mid_dim, state_dim, _action_dim, if_use_dn=False)

ElegantRL/net.py:273

(self, mid_dim, state_dim, action_dim, if_use_dn=False)

ElegantRL/net.py:295

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