Functions — github.com/Yonv1943/Python

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Functions2,539 in github.com/Yonv1943/Python

⨍ Functions 2,539◇ Types & classes 504

↓ 8 callersFunctionto_images

(ary, )

ElegantRL/AgentZoo/ElegantRL-MultiGPU/yonv_utils.py:15

↓ 8 callersFunctiontrain_and_evaluate_mp

(args)

ElegantRL/Beta/run.py:181

↓ 7 callersMethod__init__

(self, mid_dim, state_dim, action_dim)

ElegantRL/Beta/elegantrl/tutorial/net.py:6

↓ 7 callersMethod__init__

(self, mid_dim, state_dim, action_dim)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/net.py:6

↓ 7 callersMethod__init__

(self, mid_dim, state_dim, action_dim)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/net.py:6

↓ 7 callersMethodcompute_reward

(self, buffer, buf_reward, buf_mask, buf_value)

ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/agent.py:773

↓ 7 callersMethodget_obj_critic

(self, buffer, batch_size)

ElegantRL/tutorial/agent.py:104

↓ 7 callersMethodget_q1_q2

(self, state)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/net.py:31

↓ 7 callersMethodget_q1_q2

(self, state)

ElegantRL/Beta/elegantrl2/tutorial/net.py:32

↓ 7 callersMethodget_q1_q2

(self, state)

ElegantRL/tutorial/net.py:32

↓ 7 callersMethodget_q1_q2

(self, state)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/net.py:31

↓ 7 callersMethodinit

(self)

ElegantRL/Beta/test.py:117

↓ 7 callersFunctionnn_conv2d_bn_avg2

(inp_dim, out_dim, kernel_size, stride, padding, bias)

Demo_deep_learning/classify_network.py:333

↓ 7 callersMethodoptim_update

(optimizer, objective)

ElegantRL/Beta/elegantrl2/tutorial/agent.py:53

↓ 7 callersMethodoptim_update

(optimizer, objective)

ElegantRL/tutorial/agent.py:53

↓ 7 callersMethodreset

(self)

ElegantRL/Beta/env.py:160

↓ 7 callersFunctiontrain_and_evaluate_mp

(args)

ElegantRL/Beta/elegantrl2/run.py:184

↓ 7 callersMethodupdate_now_len

update the a pointer `now_len`, which is the current data number of ReplayBuffer

ElegantRL/replay.py:134

↓ 6 callersMethod__init__

(self)

ElegantRL/Beta/elegantrl2/tutorial/agent.py:65

↓ 6 callersMethod__init__

(self)

ElegantRL/tutorial/agent.py:65

↓ 6 callersMethodget_action

(self, state, action_std)

ElegantRL/net.py:107

↓ 6 callersMethodget_action

(self, state, action_std)

ElegantRL/Beta/net.py:107

↓ 6 callersMethodget_action

(self, state, action_std)

ElegantRL/Beta/elegantrl/net.py:107

↓ 6 callersMethodget_action

(self, state, action_std)

ElegantRL/Beta/elegantrl2/net.py:107

↓ 6 callersMethodget_eva_reward__sv

(self, act, max_step, action_max, is_discrete, is_render=False)

Demo_deep_learning/Tutorial.py:15

↓ 6 callersMethodget_reward_sum

(self, buf_len, reward, mask, value, pre_r_sum)

ElegantRL/tutorial/agent.py:331

↓ 6 callersMethodinit

(self)

ElegantRL/elegantrl2/test.py:117

↓ 6 callersFunctionload_data_ary

(data_path, img_shape=(32, 32, 3), if_one_hot=True)

Demo_deep_learning/yonv_utils.py:127

↓ 6 callersFunctionload_data_ary

(data_path, img_shape=(32, 32, 3), if_one_hot=True)

ElegantRL/Beta/DeepLearning/yonv_utils.py:134

↓ 6 callersFunctionload_data_ary

(data_path, img_shape=(32, 32, 3), if_one_hot=True)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/yonv_utils.py:134

↓ 6 callersMethodsoft_update

(target_net, current_net, tau)

ElegantRL/Beta/elegantrl/tutorial/agent.py:38

↓ 6 callersMethodsoft_update

(target_net, current_net, tau)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:38

↓ 6 callersMethodsoft_update

(target_net, current_net, tau)

ElegantRL/Beta/elegantrl2/tutorial/agent.py:59

↓ 6 callersMethodsoft_update

(target_net, current_net, tau)

ElegantRL/tutorial/agent.py:59

↓ 6 callersMethodsoft_update

(target_net, current_net, tau)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:38

↓ 6 callersFunctionto_images

(ary, )

Demo_deep_learning/yonv_utils.py:15

↓ 6 callersFunctionto_labels

(ary, )

ElegantRL/Beta/DeepLearning/yonv_utils.py:25

↓ 6 callersFunctionto_labels

(ary, )

ElegantRL/AgentZoo/ElegantRL-MultiGPU/yonv_utils.py:25

↓ 6 callersFunctiontrain_and_evaluate

(args, agent_id=0)

ElegantRL/elegantrl2/run.py:91

↓ 6 callersFunctiontrain_and_evaluate__multiprocessing

(args)

ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/run.py:656

↓ 6 callersMethodupdate_net

(self, buffer, batch_size, repeat_times, soft_update_tau)

ElegantRL/agent.py:197

↓ 6 callersMethodupdate_now_len

update the a pointer `now_len`, which is the current data number of ReplayBuffer

ElegantRL/Beta/replay.py:104

↓ 6 callersMethodupdate_now_len

update the a pointer `now_len`, which is the current data number of ReplayBuffer

ElegantRL/Beta/elegantrl/replay.py:104

↓ 6 callersMethodupdate_now_len

update the a pointer `now_len`, which is the current data number of ReplayBuffer

ElegantRL/Beta/elegantrl2/replay.py:104

↓ 5 callersMethod__init__

(self)

ElegantRL/Beta/elegantrl/tutorial/agent.py:44

↓ 5 callersMethod__init__

(self)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:44

↓ 5 callersMethod__init__

(self)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:44

↓ 5 callersFunctiondet

(a, b)

Demo/DEMO_cv2_MouseDetect.py:72

↓ 5 callersMethodexplore_env

(self, env, target_step, reward_scale, gamma)

ElegantRL/Beta/elegantrl/agent.py:183

↓ 5 callersMethodextend_buffer

(self, state, other)

ElegantRL/elegantrl2/replay.py:50

↓ 5 callersMethodget_action

(self, state, action_std)

ElegantRL/elegantrl2/net.py:107

↓ 5 callersMethodget_action_logprob

(self, state)

ElegantRL/elegantrl2/net.py:146

↓ 5 callersMethodget_obj_critic

(self, buffer, batch_size)

ElegantRL/Beta/elegantrl/tutorial/agent.py:91

↓ 5 callersMethodget_reward_sum

(self, buf_len, reward, mask, value, pre_r_sum)

ElegantRL/Beta/elegantrl2/tutorial/agent.py:331

↓ 5 callersMethodinit_before_training

(self, process_id=0)

ElegantRL/Beta/run.py:55

↓ 5 callersMethodinit_before_training

(self, if_main)

ElegantRL/elegantrl2/run.py:56

↓ 5 callersMethodsample_batch

(self, batch_size)

ElegantRL/Beta/elegantrl/tutorial/agent.py:453

↓ 5 callersMethodsample_batch

(self, batch_size)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:453

↓ 5 callersMethodsample_batch

(self, batch_size)

ElegantRL/Beta/elegantrl2/tutorial/agent.py:418

↓ 5 callersMethodsample_batch

(self, batch_size)

ElegantRL/tutorial/agent.py:418

↓ 5 callersMethodsample_batch

(self, batch_size)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:453

↓ 5 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/agent.py:127

↓ 5 callersMethodstep

(self, actions)

ElegantRL/Beta/env.py:165

↓ 5 callersMethodtd_error_update

(self, td_error)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/replay.py:432

↓ 5 callersFunctiontrain_and_evaluate

(args)

ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/run.py:586

↓ 5 callersFunctiontrain_and_evaluate_mp

(args)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/run.py:177

↓ 5 callersFunctiontrain_and_evaluate_mp

(args)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/run.py:354

↓ 5 callersMethodupdate_net

(self, buffer, batch_size, repeat_times, soft_update_tau)

ElegantRL/elegantrl2/agent.py:198

↓ 5 callersMethodupdate_now_len

(self)

ElegantRL/Beta/elegantrl2/tutorial/agent.py:436

↓ 5 callersMethodupdate_now_len

(self)

ElegantRL/tutorial/agent.py:436

↓ 5 callersMethodupdate_now_len_before_sample

(self)

ElegantRL/Beta/elegantrl/tutorial/agent.py:471

↓ 5 callersMethodupdate_now_len_before_sample

(self)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:471

↓ 5 callersMethodupdate_now_len_before_sample

(self)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:471

↓ 4 callersMethod__init__

(self, mid_dim, state_dim, action_dim)

ElegantRL/Example_SingleFilePPO.py:21

↓ 4 callersMethodappend_buffer

(self, state, other)

ElegantRL/Beta/elegantrl/tutorial/agent.py:441

↓ 4 callersMethodappend_buffer

(self, state, other)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/replay.py:278

↓ 4 callersMethodappend_buffer

(self, state, other)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:441

↓ 4 callersMethodappend_buffer

(self, state, other)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/agent.py:1019

↓ 4 callersMethodappend_buffer

(self, state, other)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/tutorial/agent.py:441

↓ 4 callersMethodappend_memo

(self, state, other)

ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/agent.py:992

↓ 4 callersFunctionavg_update_net

(dst_net, src_net, device)

ElegantRL/elegantrl2/run.py:868

↓ 4 callersMethodcomm_data

(self, data, gpu_id, round_id, if_cuda=False)

ElegantRL/elegantrl2/run.py:606

↓ 4 callersMethodempty_buffer_before_explore

we empty the buffer by set now_len=0. On-policy need to empty buffer before exploration

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/replay.py:374

↓ 4 callersMethodempty_buffer_before_explore

we empty the buffer by set now_len=0. On-policy need to empty buffer before exploration

ElegantRL/AgentZoo/ElegantRL-MultiGPU/agent.py:1092

↓ 4 callersMethodexplore_env

(self, env, target_step, reward_scale, gamma)

ElegantRL/Beta/agent.py:185

↓ 4 callersMethodexplore_env

(self, env, target_step, reward_scale, gamma)

ElegantRL/Beta/elegantrl2/agent.py:186

↓ 4 callersMethodextend_buffer_from_list

(self, trajectory_list)

ElegantRL/replay.py:77

↓ 4 callersMethodget__action__log_prob

(self, state)

ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/net.py:188

↓ 4 callersMethodget_action_logprob

(self, state)

ElegantRL/net.py:146

↓ 4 callersMethodget_action_logprob

(self, state)

ElegantRL/Beta/net.py:146

↓ 4 callersMethodget_action_logprob

(self, state)

ElegantRL/Beta/elegantrl/net.py:146

↓ 4 callersMethodget_action_logprob

(self, state)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/net.py:201

↓ 4 callersMethodget_action_logprob

(self, state)

ElegantRL/Beta/elegantrl2/net.py:146

↓ 4 callersMethodget_action_logprob

(self, state)

ElegantRL/AgentZoo/ElegantRL-MultiGPU/net.py:187

↓ 4 callersFunctionget_gpu_max_memo_percent

(gpu_id: int)

Demo_deep_learning/DEMO_DataParallel.py:74

↓ 4 callersFunctionget_gpu_memo_percent

(gpu_id: int)

Demo_deep_learning/DEMO_DataParallel.py:69

↓ 4 callersMethodget_obj_critic

(self, buffer, batch_size)

ElegantRL/Beta/elegantrl/2021-04-04 ElegantRL/tutorial/agent.py:91

↓ 4 callersFunctionget_optim_parameters

(optim)

ElegantRL/elegantrl2/run.py:855

↓ 4 callersMethodinit

(self, net_dim, state_dim, action_dim, learning_rate=1e-4, if_use_per=False, gpu_id=0)

ElegantRL/elegantrl2/agent.py:166

↓ 4 callersMethodinit_before_training

(self, process_id=0)

ElegantRL/run.py:55

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