multithreading mech_pipeline again, block_pipeline later
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parent
181b7cf986
commit
a0266641f7
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@ -1,6 +1,7 @@
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from pathos.threading import ThreadPool
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from copy import deepcopy
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from fn.op import foldr, call
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import numpy as np
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import pprint
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pp = pprint.PrettyPrinter(indent=4)
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@ -72,9 +73,7 @@ class Executor:
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# make env proc trigger field agnostic
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self.apply_env_proc(env_processes, last_in_copy, last_in_copy['timestamp']) # mutating last_in_copy
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# print()
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# pp.pprint(last_in_copy)
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# exit()
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def set_sys_metrics(m_step, t_step, run):
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last_in_copy["mech_step"], last_in_copy["time_step"], last_in_copy['run'] = m_step, t_step, run
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@ -90,12 +89,9 @@ class Executor:
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del last_in_copy
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# print()
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# pp.pprint(sL)
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# exit()
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return sL
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def mech_pipeline(self, states_list, configs, env_processes, t_step, run):
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m_step = 0
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states_list_copy = deepcopy(states_list)
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@ -110,20 +106,27 @@ class Executor:
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for config in configs:
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s_conf, b_conf = config[0], config[1]
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last_states = states_list[-1]
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dropped_right_sL = drop_right(states_list, 1)
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print()
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# print(states_list)
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if isinstance(last_states, list):
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x = list(map(lambda last_state_dict: dropped_right_sL.append(last_state_dict), last_states))
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print(x)
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pool = ThreadPool(nodes=len(last_states)) # ToDo: Optimize
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dropped_right_sL = drop_right(states_list, 1)
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def multithreaded_mech_step(mod_states_list):
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return self.mech_step(m_step, mod_states_list, s_conf, b_conf, env_processes, t_step, run)
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states_lists = pool.map(
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lambda last_state_dict: dropped_right_sL + [last_state_dict],
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last_states
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)
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print()
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pp.pprint(configs)
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else:
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states_lists = self.mech_step(m_step, states_list, s_conf, b_conf, env_processes, t_step, run)
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# states_list = self.mech_step(m_step, states_list, s_conf, b_conf, env_processes, t_step, run)
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m_step += 1
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t_step += 1
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print()
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# print(states_list)
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exit()
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return states_list
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@ -132,9 +135,17 @@ class Executor:
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def block_pipeline(self, states_list, configs, env_processes, time_seq, run):
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time_seq = [x + 1 for x in time_seq]
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simulation_list = [states_list]
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print(len(configs))
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for time_step in time_seq:
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pipe_run = self.mech_pipeline(simulation_list[-1], configs, env_processes, time_step, run)
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# print(simulation_list)
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if len(simulation_list) == 1:
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pipe_run = self.mech_pipeline(simulation_list[-1], configs, env_processes, time_step, run)
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exit()
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# elif np.array(pipe_run[-1]) == 2:
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# pipe_run = self.mech_pipeline(simulation_list[-1], configs, env_processes, time_step, run)
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# print(pipe_run)
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_, *pipe_run = pipe_run
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# print(pipe_run)
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simulation_list.append(pipe_run)
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return simulation_list
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@ -33,7 +33,7 @@ def flatten(l):
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return flattenDict(l)
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def drop_right(l, n=1):
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def drop_right(l, n):
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return l[:len(l)-n]
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# def flatmap(f, items):
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