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Functions2,539 in github.com/Yonv1943/Python

⨍ Functions 2,539◇ Types & classes 504
↓ 2 callersMethodget_obj_alpha
(self, logprob)
ElegantRL/Beta/elegantrl2/net.py:170
↓ 2 callersMethodget_obj_alpha
(self, logprob)
ElegantRL/elegantrl2/net.py:170
↓ 2 callersMethodget_obj_critic
(self, buffer, batch_size)
ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:185
↓ 2 callersMethodget_obj_critic
(self, buffer, batch_size)
ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:234
↓ 2 callersMethodget_obj_critic
(self, buffer, batch_size, alpha)
ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:298
↓ 2 callersMethodget_obj_critic
(self, buffer, batch_size)
ElegantRL/Beta/elegantrl2/tutorial/agent.py:172
↓ 2 callersMethodget_obj_critic
(self, buffer, batch_size)
ElegantRL/Beta/elegantrl2/tutorial/agent.py:205
↓ 2 callersMethodget_obj_critic
(self, buffer, batch_size, alpha)
ElegantRL/Beta/elegantrl2/tutorial/agent.py:246
↓ 2 callersMethodget_old_logprob
(self, _action, noise)
ElegantRL/net.py:217
↓ 2 callersMethodget_old_logprob
(self, _action, noise)
ElegantRL/Beta/elegantrl/net.py:212
↓ 2 callersFunctionget_optim_parameters
(optim)
ElegantRL/Beta/elegantrl2/run.py:629
↓ 2 callersMethodget_orderly_zip_list_return
(self)
Demo_deep_learning/tutorial__subp_vec_env_gym.py:199
↓ 2 callersMethodget_polygon_contours
(self, img, img_back)
Demo/DEMO_edge_detection.py:141
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/run.py:1068
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/Example_SingleFilePPO.py:580
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/Beta/run.py:1059
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/Beta/elegantrl/run.py:1057
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/run.py:508
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/Beta/elegantrl2/run.py:730
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/Beta/elegantrl2/tutorial/run.py:234
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/tutorial/run.py:234
↓ 2 callersMethodget_r_avg_std_s_avg_std
(rewards_steps_list)
ElegantRL/elegantrl2/evaluator.py:94
↓ 2 callersFunctionget_saver__init_load_model
(sess)
Plan/TUTO_mnist_3layers.py:66
↓ 2 callersMethodget_state
(self, price)
ElegantRL/Beta/StockTrading.py:414
↓ 2 callersFunctionhex_str_to_rgb_tuple
(hex_str)
Demo/DEMO_cv2_MouseDetect.py:85
↓ 2 callersMethodinit
(self, net_dim, state_dim, action_dim, learning_rate=1e-4, if_use_per=False)
ElegantRL/agent.py:165
↓ 2 callersMethodinit
(self, net_dim, state_dim, action_dim, learning_rate=1e-4, if_use_gae=False)
ElegantRL/agent.py:524
↓ 2 callersMethodinit
(self, net_dim, state_dim, action_dim, learning_rate=1e-4, if_use_per=False)
ElegantRL/Beta/agent.py:167
↓ 2 callersMethodinit
(self, net_dim, state_dim, action_dim, learning_rate=1e-4, if_use_gae=False)
ElegantRL/Beta/agent.py:527
↓ 2 callersMethodinit
(self, net_dim, state_dim, action_dim, learning_rate=1e-4, if_use_per=False)
ElegantRL/Beta/elegantrl/agent.py:165
↓ 2 callersMethodinit
(self, net_dim, state_dim, action_dim, learning_rate=1e-4, if_use_gae=False)
ElegantRL/Beta/elegantrl/agent.py:524
↓ 2 callersMethodinit
(self, net_dim, state_dim, action_dim, learning_rate=1e-4, if_use_per=False, gpu_id=0)
ElegantRL/Beta/elegantrl2/agent.py:168
↓ 2 callersMethodinit_before_sample
(self)
Demo_deep_learning/Tutorial.py:149
↓ 2 callersFunctionlayer_norm
(layer, std=1.0, bias_const=1e-6)
ElegantRL/Example_SingleFilePPO.py:105
↓ 2 callersFunctionlayer_norm
(layer, std=1.0, bias_const=1e-6)
ElegantRL/Beta/other/Example_SingleFilePPO.py:55
↓ 2 callersFunctionload_mnist_data
(data_dir='./data')
Demo_deep_learning/DEMO_DataParallel.py:10
↓ 2 callersFunctionload_torch_model
(mod_dir, model)
Demo_deep_learning/yonv_utils.py:157
↓ 2 callersFunctionload_torch_model
(mod_dir, model)
ElegantRL/Beta/DeepLearning/yonv_utils.py:164
↓ 2 callersFunctionload_torch_model
(mod_dir, model)
ElegantRL/AgentZoo/ElegantRL-MultiGPU/yonv_utils.py:164
↓ 2 callersFunctionnn_hswish
(_, x)
Demo_deep_learning/GAN_network.py:129
↓ 2 callersFunctionnn_linear_bn
(inp_dim, out_dim, bias)
Demo_deep_learning/GAN_network.py:139
↓ 2 callersFunctionnn_reshape
(cls, x)
Demo_deep_learning/GAN_network.py:134
↓ 2 callersFunctionnn_se_1d
(inp_dim)
Demo_deep_learning/classify_network.py:350
↓ 2 callersFunctionnn_se_1d
(inp_dim)
ElegantRL/Beta/DeepLearning/classify_network.py:350
↓ 2 callersFunctionnn_se_1d
(inp_dim)
ElegantRL/AgentZoo/ElegantRL-MultiGPU/classify_network.py:350
↓ 2 callersFunctionoptimizer_update
(optimizer, objective)
Demo_deep_learning/DEMO_DataParallel.py:79
↓ 2 callersMethodoutput_y_hc
(self, x, hc)
Demo_deep_learning/Demo_RNN_time_seq_predict.py:310
↓ 2 callersMethodoutput_y_hc
(self, x, hc)
Demo_deep_learning/RNN_demo_time_seq_predict.py:307
↓ 2 callersMethodpre_explore1
(self, agent, buffer_mp, batch_size, repeat_times, soft_update_tau)
ElegantRL/elegantrl2/run.py:316
↓ 2 callersMethodprepare_buffer
(self, buffer)
ElegantRL/agent.py:581
↓ 2 callersMethodprepare_buffer
(self, s_r_m_a_n_list)
ElegantRL/Beta/elegantrl/agent.py:585
↓ 2 callersMethodprepare_buffer
(self, s_r_m_a_n_list)
ElegantRL/elegantrl2/agent.py:680
↓ 2 callersMethodprepare_buffers
(self, buffer)
ElegantRL/agent.py:598
↓ 2 callersFunctionprocess_safely_terminate
(process)
ElegantRL/Beta/elegantrl2/run.py:541
↓ 2 callersFunctionprocess_safely_terminate
(process)
ElegantRL/elegantrl2/run.py:810
↓ 2 callersMethodrandom_sample
(self, batch_size, device)
Demo_deep_learning/Tutorial.py:152
↓ 2 callersMethodreset
(self)
ElegantRL/Beta/StockTrading.py:54
↓ 2 callersMethodreset_vec
(self)
ElegantRL/Beta/StockTrading.py:357
↓ 2 callersMethodreset_vec
(self)
ElegantRL/Beta/beta0.py:23
↓ 2 callersFunctionrgb2gray
(rgb)
ElegantRL/env.py:328
↓ 2 callersFunctionrgb2gray
(rgb)
ElegantRL/Beta/env.py:349
↓ 2 callersFunctionrgb2gray
(rgb)
ElegantRL/Beta/elegantrl/env.py:330
↓ 2 callersFunctionrgb2gray
(rgb)
ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/env.py:453
↓ 2 callersFunctionrgb2gray
(rgb)
ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/env.py:404
↓ 2 callersFunctionrgb2gray
(rgb)
ElegantRL/Beta/elegantrl2/env.py:280
↓ 2 callersFunctionrgb2gray
(rgb)
ElegantRL/elegantrl2/env.py:280
↓ 2 callersFunctionrgb2gray
(rgb)
ElegantRL/AgentZoo/ElegantRL-MultiGPU/env.py:397
↓ 2 callersFunctionrun
()
Plan/PLAN_ftp_download.py:5
↓ 2 callersMethodsample_all
(self)
ElegantRL/tutorial/agent.py:427
↓ 2 callersMethodsave_load_model
save or load model files `str cwd` current working directory, we save model file here `bool if_save` save model or load model
ElegantRL/agent.py:125
↓ 2 callersMethodsave_load_model
save or load model files `str cwd` current working directory, we save model file here `bool if_save` save model or load model
ElegantRL/Beta/elegantrl/agent.py:125
↓ 2 callersMethodselect_action
(self, state)
ElegantRL/agent.py:174
↓ 2 callersMethodselect_action
(self, state)
ElegantRL/Example_SingleFilePPO.py:139
↓ 2 callersMethodselect_action
(self, state)
ElegantRL/Beta/agent.py:176
↓ 2 callersMethodselect_action
(self, state)
ElegantRL/Beta/elegantrl/agent.py:174
↓ 2 callersMethodselect_action
(self, state)
ElegantRL/Beta/elegantrl2/agent.py:177
↓ 2 callersMethodselect_action
(self, state)
ElegantRL/Beta/elegantrl2/tutorial/agent.py:71
↓ 2 callersMethodselect_action
(self, state)
ElegantRL/tutorial/agent.py:71
↓ 2 callersMethodselect_action
(self, state)
ElegantRL/elegantrl2/agent.py:175
↓ 2 callersMethodselect_actions
(self, states)
ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/agent.py:55
↓ 2 callersFunctiontrain_and_evaluate
(args)
ElegantRL/Example_SingleFilePPO.py:611
↓ 2 callersFunctionuniform_exploration
(env, max_step, max_action, gamma, reward_scale, memo, action_dim)
Demo_deep_learning/ReplayBufferComparison.py:147
↓ 2 callersFunctionupdate_buffer
(_trajectory_list)
ElegantRL/elegantrl2/run.py:141
↓ 2 callersMethodupdate_buffer
(self, env, buffer, target_step, reward_scale, gamma)
ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/agent.py:64
↓ 2 callersMethodupdate_id
(self, data_id, prob=10)
ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/replay.py:516
↓ 2 callersMethodupdate_ids
(self, data_ids, prob=10)
ElegantRL/replay.py:284
↓ 2 callersMethodupdate_ids
(self, data_ids, prob=10)
ElegantRL/Beta/replay.py:247
↓ 2 callersMethodupdate_ids
(self, data_ids, prob=10)
ElegantRL/Beta/elegantrl/replay.py:247
↓ 2 callersMethodupdate_ids
(self, data_ids, prob=10)
ElegantRL/Beta/elegantrl2/replay.py:247
↓ 2 callersMethodupdate_ids
(self, data_ids, prob=10)
ElegantRL/elegantrl2/replay.py:275
↓ 2 callersMethodupdate_net
(self, buffer, target_step, batch_size, repeat_times)
ElegantRL/Beta/elegantrl/tutorial/agent.py:78
↓ 2 callersMethodupdate_net
(self, buffer, target_step, batch_size, repeat_times)
ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:78
↓ 2 callersMethodupdate_net
(self, buffer, batch_size, repeat_times, soft_update_tau)
ElegantRL/Beta/elegantrl2/tutorial/agent.py:94
↓ 2 callersMethodupdate_net
(self, buffer, batch_size, repeat_times, soft_update_tau)
ElegantRL/tutorial/agent.py:94
↓ 2 callersMethodupdate_net
(self, buffer, target_step, batch_size, repeat_times)
ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:78
↓ 2 callersFunctionurl_to_image
(url)
Demo/DEMO_url_get_image_urllib.requests.py:11
↓ 1 callersMethod__init__
(self, pipe: Pipe, env_class, env_args: dict, env_id: int = 0)
Demo_deep_learning/tutorial__subp_vec_env_gym.py:54
↓ 1 callersMethod__init__
(self, inp_dim, out_dim, mod_dim, mid_layers)
Demo_deep_learning/Demo_RNN_time_seq_predict.py:321
↓ 1 callersMethod__init__
(self, inp_dim, out_dim, mod_dim, mid_layers)
Demo_deep_learning/RNN_demo_time_seq_predict.py:318
↓ 1 callersMethod__init__
(self, pipe)
Demo_deep_learning/tutorial__sub_process_comm.py:7
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