repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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dbcsr | dbcsr-master/src/acc/libsmm_acc/notebooks/nb_helper.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 4,300 | 37.401786 | 100 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/predict/predict_collect.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 10,977 | 39.810409 | 116 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/predict/predict_evaluate.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 6,385 | 35.491429 | 118 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/predict/prepare_training_data.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 31,743 | 37.108043 | 128 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/predict/predict_genpars.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 15,537 | 37.176904 | 128 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/predict/predict_helpers.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 9,209 | 29.496689 | 100 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/predict/predict_train.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 60,672 | 34.986358 | 123 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/smm_acc_dnt_base.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 7,148 | 34.216749 | 180 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/smm_acc_dnt_medium.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 8,066 | 37.051887 | 115 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/smm_acc_dnt_small.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 7,540 | 35.785366 | 115 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/smm_acc_dnt_largeDB2.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 9,535 | 37.607287 | 115 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/smm_acc_predict.py | ####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. #
# ... | 30,722 | 38.693798 | 128 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/smm_acc.py | ####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. #
# ... | 5,917 | 33.208092 | 111 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/smm_acc_dnt_largeDB1.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 9,554 | 37.841463 | 115 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/smm_acc_dnt_tiny.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 6,060 | 34.863905 | 115 | py |
dbcsr | dbcsr-master/src/acc/libsmm_acc/kernels/__init__.py | # -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 941 | 84.636364 | 108 | py |
dbcsr | dbcsr-master/tests/generate_libsmm_acc_timer_multiply.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 5,272 | 35.874126 | 128 | py |
dbcsr | dbcsr-master/tests/generate_libsmm_acc_unittest_multiply.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 4,958 | 36.568182 | 128 | py |
dbcsr | dbcsr-master/.pre-commit/check_header.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
####################################################################################################
# Copyright (C) by the DBCSR developers group - All rights reserved #
# This file is part of the DBCSR library. ... | 3,541 | 34.42 | 100 | py |
neural_graph_evolution | neural_graph_evolution-master/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/html_visual/vis_spc_tree.py | '''
visualizing the tree structure specific to one species
'''
import init_path
import os
import numpy as np
import argparse
import json
import glob
from pprint import pprint
# local imports
from util import visdom_util
def get_config():
''' parse the arguments for visualizing the evolution process
'''... | 4,203 | 27.214765 | 88 | py |
neural_graph_evolution | neural_graph_evolution-master/html_visual/init_path.py | # ------------------------------------------------------------------------------
# @brief:
# In this file we init the path
# @author:
# Written by Tingwu Wang, 2016/Sep/22
# ------------------------------------------------------------------------------
import os.path as osp
import sys
import datetime
... | 1,039 | 18.622642 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/html_visual/html_visual.py | ''' create visualization all the training sessions in ../evolution_data/
'''
import os
import init_path
import glob
import json
import argparse
import subprocess
from shutil import copyfile
# local imports
from html_visual import vis_tree
from html_visual import vis_spc_tree
GENEALOGY_HTML = \
os.path.join(init... | 3,354 | 29.779817 | 82 | py |
neural_graph_evolution | neural_graph_evolution-master/html_visual/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/html_visual/vis_tree.py | ''' this file implements the functionality to visualize
gene tree (possibly with physical structure visualization)
preliminary settings:
1. set up local host server because of the d3 library being used.
need to have the directory to be correct (preferably use the root
directory of the project).
python -m htt... | 15,384 | 28.643545 | 86 | py |
neural_graph_evolution | neural_graph_evolution-master/config/evolutionary_config.py | # ------------------------------------------------------------------------------
# @brief:
# All the parameters of evolutionary agents are listed here
# @author:
# Tingwu Wang, 2017, June, 12th
# ------------------------------------------------------------------------------
import numpy as np
def get_... | 6,283 | 45.895522 | 89 | py |
neural_graph_evolution | neural_graph_evolution-master/config/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
neural_graph_evolution | neural_graph_evolution-master/config/config.py | # ------------------------------------------------------------------------------
# @brief:
# record the parameters here
# @author:
# Tingwu Wang, 2017, June, 12th
# ------------------------------------------------------------------------------
import argparse
from .evolutionary_config import get_evolut... | 11,499 | 46.916667 | 85 | py |
neural_graph_evolution | neural_graph_evolution-master/config/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/evolution/species_bank.py | # -----------------------------------------------------------------------------
# @brief:
# The species_bank save all the information of the species
# written by Tingwu Wang
# -----------------------------------------------------------------------------
import numpy as np
import init_path
from util import... | 10,560 | 38.114815 | 94 | py |
neural_graph_evolution | neural_graph_evolution-master/evolution/agent_bank.py | # -----------------------------------------------------------------------------
# @brief:
# The species_bank save all the information of the species
# written by Tingwu Wang
# -----------------------------------------------------------------------------
import multiprocessing
from agent import evolution_a... | 1,786 | 28.295082 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/evolution/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
neural_graph_evolution | neural_graph_evolution-master/evolution/species2species.py | # -----------------------------------------------------------------------------
# @brief:
# util function for assigning running_mean and embedding for the agent
# Note these functions should be called by the evolutionary agent!
# written by Tingwu Wang
# ---------------------------------------------... | 13,156 | 36.48433 | 84 | py |
neural_graph_evolution | neural_graph_evolution-master/evolution/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/evolution/evo_analysis.py | '''
@brief:
analyze the population after each generation
'''
import init_path
from util import logger
from sklearn.decomposition import PCA
import numpy as np
# local imports
from util import visdom_util
__BASE_PATH = init_path.get_abs_base_dir()
def print_info(args):
''' print important training h... | 9,737 | 38.585366 | 88 | py |
neural_graph_evolution | neural_graph_evolution-master/util/tree_util.py | import pdb
class Node():
def __init__(self, attr, name=''):
self.name = name
self.attr = attr
self.parent = None
self.children = []
def add_child(self, new_Node):
self.children.append(new_Node)
def get_parent(self):
return self.parent
class BiTree():
... | 431 | 12.5 | 38 | py |
neural_graph_evolution | neural_graph_evolution-master/util/nn_cells.py | """
Basic cells of neural network
Renjie Liao
"""
import tensorflow as tf
from six.moves import xrange
def weight_variable(shape,
init_method=None,
dtype=tf.float32,
init_para=None,
wd=None,
seed=1234,
... | 19,159 | 31.255892 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/util/summary_handler.py | # -----------------------------------------------------------------------------
# @brief:
# define the how to record the summary
# @author:
# Tingwu Wang
# -----------------------------------------------------------------------------
import init_path
from util import logger
import tensorflow as tf
impo... | 3,068 | 33.875 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/util/ob_normalizer.py | # -----------------------------------------------------------------------------
# @brief:
# do a running mean and normalization on the observation
# This is actually very important for the performances
# @Updated:
# Jun., 22rd, 2017, by Tingwu Wang
# Aug., 8th, 2017, add the running mean by ... | 2,322 | 29.168831 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/util/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
neural_graph_evolution | neural_graph_evolution-master/util/visdom_util.py | ''' visdom related functions to print the curves
'''
import pdb
from visdom import Visdom
import numpy as np
import time
# viz = Visdom(server='http://18.218.194.87', port=4212) # aws server port
viz = None
def visdom_initialize(args):
'''
'''
global viz
if args.vis_port < 4212 or args.vis_port > 4... | 3,756 | 27.9 | 85 | py |
neural_graph_evolution | neural_graph_evolution-master/util/parallel_util.py | # -----------------------------------------------------------------------------
# @brief: Define some signals used during parallel
# -----------------------------------------------------------------------------
# it makes the main trpo agent push its weights into the tunnel
START_SIGNAL = 1
# it ends the training
E... | 825 | 28.5 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/util/utils.py | # -----------------------------------------------------------------------------
# @brief:
# some helper functions about stats and layers
# -----------------------------------------------------------------------------
import tensorflow as tf
import numpy as np
import scipy.signal
from six.moves import xrange
... | 6,273 | 26.884444 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/util/logger.py | # -----------------------------------------------------------------------------
# @brief:
# The logger here will be called all across the project. It is inspired
# by Yuxin Wu (ppwwyyxx@gmail.com)
#
# @author:
# Tingwu Wang, 2017, Feb, 20th
# -----------------------------------------------------------... | 2,698 | 28.336957 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/util/fpdb.py | # -----------------------------------------------------------------------------
# @brief:
# some helper functions about pdb.
# -----------------------------------------------------------------------------
import sys
import pdb
class fpdb(pdb.Pdb):
'''
@brief:
a Pdb subclass that may b... | 621 | 24.916667 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/util/dm_control_util.py | # -----------------------------------------------------------------------------
# @brief:
# wrapper for the dm_control ob dictionary
# @author:
# Tingwu Wang
# -----------------------------------------------------------------------------
# import pdb
# import sys
import init_path
import numpy as np
# im... | 4,418 | 34.071429 | 83 | py |
neural_graph_evolution | neural_graph_evolution-master/util/model_gen_util.py | '''
@brief
utility functions can be used for model gen
(mostly just some analytical geometry)
@author:
Henry Zhou, April 1st, 2018
'''
import pdb
import numpy as np
import math
import random
def gaussian_noise(mu, std, discrete, step_size=None,):
'''
'''
if discrete and (st... | 5,393 | 27.539683 | 85 | py |
neural_graph_evolution | neural_graph_evolution-master/util/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/util/agent_util.py | from network.baseline_network import tf_baseline_network
def build_baseline_network(args, session, name_scope,
observation_size, gnn_placeholder_list,
obs_placeholder):
assert not args.use_gnn_as_value
baseline_network = tf_baseline_network(
sessi... | 711 | 31.363636 | 75 | py |
neural_graph_evolution | neural_graph_evolution-master/util/model_saver.py | # -----------------------------------------------------------------------------
# @brief: it is out-dated
# in this model, we save the weights by our own function
# written by Tingwu Wang
# -----------------------------------------------------------------------------
import init_path
import numpy as np
fr... | 9,731 | 37.466403 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/mujoco_parser.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# Some helper functions to parse the mujoco xml template files
# @author:
# Tingwu Wang, Jun 23rd, 2017
# @UPDATE:
# 1. add the tendon support
# 2. add support for HumanoidStand... | 32,826 | 37.62 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/gen_gnn_param.py | '''
@brief:
@author:
Henry Zhou, March 31st, 2018
@update:
'''
import init_path
import numpy as np
from util import model_gen_util
from env import model_gen
ROOT_PATH = init_path.get_abs_base_dir()
'''
definition of nodes:
@root:
the 'root' node
'''
_NODE_TYPE = ['root', 'joint', ... | 16,323 | 37.774347 | 91 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/gnn_util.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# Some helper functions to parse the mujoco xml template files
# @author:
# Tingwu Wang, Jun 23rd, 2017
# @UPDATE:
# ------------------------------------------------------------------------... | 6,609 | 32.21608 | 81 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/nervenetplus_util.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# Build the nervenet placeholders. Basically, we now have a different
# setting as [nstep, minibatch_size / nstep]
# @author:
# Tingwu Wang, August. 13th, 2018
# -----------------------... | 1,270 | 33.351351 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/structure_mapper.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @author:
# Tingwu Wang, Jun 23rd, 2017
# -----------------------------------------------------------------------------
import init_path
from util import logger
from . import mujoco_parser
import numpy as n... | 7,819 | 39.942408 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/graph_data_util.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# In this function, we change the data from [batch_size, ob_dim] into
# [batch_size * num_node, hidden_dim]
# @author:
# Tingwu Wang, Jul. 13th, 2017
# ---------------------------------... | 9,776 | 35.89434 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/gnn_io_util.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# Some helper functions to prepare the input
# @author:
# Tingwu Wang, April 10th, 2018
# -----------------------------------------------------------------------------
import init_path
impo... | 7,542 | 37.28934 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/graph_util/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/network/pruning_network.py | # -----------------------------------------------------------------------------
# @brief:
# For the baseline network, we only need three functions to be defined
# @fit, @save_checkpoint, and @load_checkpoint
# @author:
# Tingwu Wang, modified from kvfran and ppo repository.
# ---------------------... | 13,966 | 38.678977 | 83 | py |
neural_graph_evolution | neural_graph_evolution-master/network/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
neural_graph_evolution | neural_graph_evolution-master/network/nervenetplus_policy.py | # ------------------------------------------------------------------------------
# @brief:
# The nervenet plus! Where we use truncated bp to optimize the weights
# @Input:
# _input_obs: [num_prop_steps * batch_size, ob_size]
# _input_hidden_state: [batch_size, hidden_dim],
# ... | 25,674 | 39.179969 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/network/nervenet_policy.py | # ------------------------------------------------------------------------------
# @author:
# Tingwu Wang, modified from the code of Renjie Liao.
# @UPDATE:
# The code for the evolutionary environment
# ------------------------------------------------------------------------------
import init_path
impor... | 24,517 | 39.325658 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/network/baseline_network.py | # -----------------------------------------------------------------------------
# @brief:
# For the baseline network, we only need three functions to be defined
# @fit, @save_checkpoint, and @load_checkpoint
# @author:
# Tingwu Wang, modified from kvfran and ppo repository.
# ---------------------... | 2,937 | 28.979592 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/network/policy_network.py | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# TODO: 1. modify the mlp layer setting (list)
# -----------------------------------------------------------------------------
import init_path
import tensorflow as tf
import numpy as np
from util.utils im... | 6,959 | 35.825397 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/network/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/network/gated_graph_policy_network.py | # ------------------------------------------------------------------------------
# @author:
# Tingwu Wang, modified from the code of Renjie Liao.
# @UPDATE:
# 27th, Aug: MAJOR UPDATE: change the node input totally.
# NOTE: Now the input is in node order
# ------------------------------------------... | 27,387 | 39.755952 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/network/treenet_policy.py | # ------------------------------------------------------------------------------
# @brief:
# The nervenet plus! Where we use truncated bp to optimize the weights
# @Input:
# _input_obs: [num_prop_steps * batch_size, ob_size]
# _input_hidden_state: [batch_size, hidden_dim],
# ... | 25,785 | 39.040373 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/visual/gen_vid.py | '''
utility file for generating videos in <evolution_data> directory
'''
import sh
import os
import subprocess
if __name__ == '__main__':
for directory in os.listdir('../evolution_data'):
print(directory)
cmd = 'python ../env/visualize_species.py -i ../evolution_data/%s/species_video -v 1' % (... | 354 | 24.357143 | 107 | py |
neural_graph_evolution | neural_graph_evolution-master/visual/visual_info.py | '''
some special requirements for some experiment configuration
'''
import init_path
USE_TIME_AS_X = 2
BF_EVOLUTION = 1
SINGLE_TOPO_FILE = 3
special_requirement = {
'bump': {
'1': 0,
'2': 0,
'FishSpeed': 0
},
'fishspeed': {
'BruteForce_100': 1,
'BruteForce_20':... | 13,313 | 30.549763 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/visual/visualize_species_struct.py | ''' this script takes in a remote directory
henryzhou@<server>:<path to /evolution/trn_sess>
to local ../evolution_data
select the top performing structures and bursts its images
'''
import init_path
import argparse
# system import
import os
import time
import glob
import subprocess
# computation
import ... | 4,116 | 30.427481 | 84 | py |
neural_graph_evolution | neural_graph_evolution-master/visual/sew_vid.py | '''
utility file for sewing generated images
'''
import os
import sh
import subprocess
if __name__ == '__main__':
for directory in os.listdir('../evolution_data'):
print(directory)
cmd = 'python evo_video.py --trn_sess ../evolution_data/%s --vid_name %s' \
% (directory, directo... | 347 | 22.2 | 83 | py |
neural_graph_evolution | neural_graph_evolution-master/visual/init_path.py | # ------------------------------------------------------------------------------
# @brief:
# In this file we init the path
# @author:
# Written by Tingwu Wang, 2016/Sep/22
# ------------------------------------------------------------------------------
import os.path as osp
import sys
import datetime
... | 1,039 | 18.622642 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/visual/visual_util.py | '''
utility function for visualizing stats about a training session
'''
import init_path
# system imports
import os
import csv
import glob
import datetime
# compute imports
import numpy as np
# plotting and data processing imports
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import rc
rc('fo... | 26,225 | 30.559567 | 88 | py |
neural_graph_evolution | neural_graph_evolution-master/visual/evo_video.py | '''
this script generates the k-th best performing species in the generation
'''
import init_path
# system
import os
import glob
import argparse
import cv2
from tqdm import tqdm
# compute
import numpy as np
'''
there are 2 training sessions serve as a good candidate
../evolution_data/evofish3d-speed_2018... | 3,176 | 26.868421 | 77 | py |
neural_graph_evolution | neural_graph_evolution-master/visual/vis_data.py | ''' plot learning curves for evolution data
'''
# setups
DATA_DIR = '/Users/Jarvis/Desktop/evolutionary_data'
# DATA_DIR = '/Users/Jarvis/Desktop/evo_data/evolutionary_data'
DATA_TEST_CSV_FILE1 = \
'/Users/Jarvis/Desktop/evolutionary_data/fishspeed/FC_100.csv'
DATA_TEST_CSV_FILE2 = \
'/Users/Jarvis/Desktop/evo... | 11,664 | 36.629032 | 99 | py |
neural_graph_evolution | neural_graph_evolution-master/tool/main.py | # -----------------------------------------------------------------------------
# @brief: main fucntion
# -----------------------------------------------------------------------------
import os
import gym
# import pdb
import init_path
from agent import optimization_agent
from agent import rollout_master_agent
from c... | 5,774 | 32.970588 | 82 | py |
neural_graph_evolution | neural_graph_evolution-master/tool/init_path.py | # ------------------------------------------------------------------------------
# @brief:
# In this file we init the path
# @author:
# Written by Tingwu Wang, 2016/Sep/22
# ------------------------------------------------------------------------------
import os.path as osp
import sys
import datetime
... | 1,039 | 18.622642 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/tool/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/tool/evolution_main.py | # -----------------------------------------------------------------------------
# @brief: main function
# -----------------------------------------------------------------------------
import os
import init_path
from config.config import get_config
from util import parallel_util
from util import logger
from util impo... | 4,055 | 35.872727 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/env/test_model_gen.py | '''
script to test the functionality of model_gen
'''
# my imports
import init_path
from config.config import get_config
# import os
import pdb
from env import fish_env_wrapper
from env import walker_env_wrapper
# import lxml
import lxml.etree as etree
import numpy as np
# local imports
from env import model_gen... | 5,410 | 32.401235 | 102 | py |
neural_graph_evolution | neural_graph_evolution-master/env/model_perturb.py | '''
function to perturb a mujoco model given the 'genes' (adj_matrix and node_attributes)
the function was originally implemented in model_gen.py
create a new directory for better structure
'''
from __future__ import division
import init_path
import pdb
import numpy as np
import random
import copy
# local... | 12,956 | 38.027108 | 90 | py |
neural_graph_evolution | neural_graph_evolution-master/env/test_fish.py | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# @brief:
# The environment wrapper
# -----------------------------------------------------------------------------
import init_path
from config.config import get_config
import os
# os.environ['DISAB... | 1,964 | 28.328358 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/env/init_path.py | # ------------------------------------------------------------------------------
# @brief:
# In this file we init the path
# @author:
# Written by Tingwu Wang, 2016/Sep/22
# ------------------------------------------------------------------------------
import os.path as osp
import sys
import datetime
... | 1,056 | 18.943396 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/env/hierarchy_model.py | '''
@brief: introduct hiearchical structure in the model
@author: henry zhou
'''
import init_path
import numpy as np
import random
from copy import deepcopy
import lxml.etree as etree
# local import
from env import model_gen
from env import model_perturb
from util import model_gen_util
from util import logger... | 23,057 | 32.465893 | 97 | py |
neural_graph_evolution | neural_graph_evolution-master/env/walker_env_wrapper.py | '''
'''
import init_path
from util import dm_control_util
from util import model_gen_util
import os
import numpy as np
from env.dm_env_wrapper import dm_env_wrapper
import collections
# from env.dm_env_wrapper import NUM_EPISODE_RECORED
class dm_walker_wrapper(dm_env_wrapper):
'''
'''
def __init__(self,... | 8,433 | 33.145749 | 87 | py |
neural_graph_evolution | neural_graph_evolution-master/env/fish_env_wrapper.py | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# @brief:
# The environment wrapper for the fishes!
# -----------------------------------------------------------------------------
import init_path
from util import dm_control_util
from util import ... | 13,377 | 36.473389 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/env/visualize_agent.py | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# @brief:
# generate the videos into the same directory
# -----------------------------------------------------------------------------
import env_wrapper
import numpy as np
import argparse
import gl... | 2,657 | 29.204545 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/env/model_gen.py | '''
function to generate a mujoco model xml file
'''
from __future__ import division
import init_path
import pdb
import lxml.etree as etree
import numpy as np
import random
import copy
import os
# local import
from util import model_gen_util
from env import species_info
# from env import hierarchy_model
# library... | 68,512 | 40.801708 | 175 | py |
neural_graph_evolution | neural_graph_evolution-master/env/visualize_species.py | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# @brief:
# generate the videos into the same directory
# -----------------------------------------------------------------------------
import numpy as np
import argparse
import glob
import cv2
impor... | 8,276 | 36.283784 | 115 | py |
neural_graph_evolution | neural_graph_evolution-master/env/test_hierarchy_model.py | '''
script to test the functionality of hierarchical model
'''
import init_path
from config.config import get_config
import os
from env import fish_env_wrapper
from env import model_gen
from util import model_gen_util
from env import hierarchy_model
from env import test_model_gen as test_func
import cv2
max_fr... | 2,169 | 23.942529 | 71 | py |
neural_graph_evolution | neural_graph_evolution-master/env/__init__.py | 0 | 0 | 0 | py | |
neural_graph_evolution | neural_graph_evolution-master/env/env_wrapper.py | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# @brief:
# The environment wrapper
# -----------------------------------------------------------------------------
import init_path
from util import dm_control_util
import os
# os.environ['DISABLE_M... | 2,241 | 27.74359 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/env/species_info.py | '''
@brief:
document the constraints of parameters for different creatures
'''
import init_path
import numpy as np
CREATURE_ROOT_INFO = {
'fish': {
'geom_type': -1,
'u': -1,
'v': -1,
'axis_x': -233,
'axis_y': -233,
'a_size': 0.01,
'b_size': 0.08,
... | 9,595 | 24.186352 | 81 | py |
neural_graph_evolution | neural_graph_evolution-master/env/dm_env_wrapper.py | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# @brief:
# The environment wrapper for dm controller
# -----------------------------------------------------------------------------
import init_path
from util import dm_control_util
import os
impor... | 3,433 | 28.86087 | 79 | py |
neural_graph_evolution | neural_graph_evolution-master/agent/evolution_agent.py | # ------------------------------------------------------------------------------
# @brief:
# The evolutionary agent is responsible for everything. It takes the
# @weights, and the @xml of the env And it output the updated weights
# @author:
# Tingwu Wang
# -----------------------------------------... | 50,276 | 39.545968 | 90 | py |
neural_graph_evolution | neural_graph_evolution-master/agent/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
neural_graph_evolution | neural_graph_evolution-master/agent/rollout_master_agent.py | # -----------------------------------------------------------------------------
# @brief:
# modified from the code of kvfran
# @modified:
# Tingwu Wang
# -----------------------------------------------------------------------------
import multiprocessing
import init_path
import os
from util import log... | 7,693 | 33.972727 | 80 | py |
neural_graph_evolution | neural_graph_evolution-master/agent/rollout_agent.py | # -----------------------------------------------------------------------------
# @brief:
# the agent that do the sampling of trajectories.
# @author:
# modified from the code of kvfran, modified by Tingwu Wang
# -----------------------------------------------------------------------------
import numpy... | 9,676 | 35.794677 | 82 | py |
neural_graph_evolution | neural_graph_evolution-master/agent/optimization_agent.py | # ------------------------------------------------------------------------------
# @brief:
# The optimization agent is responsible for doing the updates.
# @author:
# modified from the code of kvfran, modified by Tingwu Wang
# -----------------------------------------------------------------------------... | 42,422 | 40.028046 | 102 | py |
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