Jinhyeok Yang Yangyangii

## st-gumbel.py
from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable

def sample_gumbel(shape, eps=1e-20):
    U = torch.rand(shape).cuda()
    return -Variable(torch.log(-torch.log(U + eps) + eps))

## race-car-CV2-NN-network-TD0-15-possible-actions.ipynb

      
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                lmclupr
                / race-car-CV2-NN-network-TD0-15-possible-actions.ipynb
            
            
              Created
              August 30, 2017 18:18
            
              
                Python notebook for the Box2D Race car reinforce learning problem.
              
          
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## tensorflow_rename_variables.py
import sys, getopt

import tensorflow as tf

usage_str = 'python tensorflow_rename_variables.py --checkpoint_dir=path/to/dir/ ' \
            '--replace_from=substr --replace_to=substr --add_prefix=abc --dry_run'


def rename(checkpoint_dir, replace_from, replace_to, add_prefix, dry_run):
    checkpoint = tf.train.get_checkpoint_state(checkpoint_dir)
	from __future__ import print_function
	import torch
	import torch.nn as nn
	import torch.nn.functional as F
	from torch.autograd import Variable

	def sample_gumbel(shape, eps=1e-20):
	U = torch.rand(shape).cuda()
	return -Variable(torch.log(-torch.log(U + eps) + eps))
	import sys, getopt

	import tensorflow as tf

	usage_str = 'python tensorflow_rename_variables.py --checkpoint_dir=path/to/dir/ ' \
	'--replace_from=substr --replace_to=substr --add_prefix=abc --dry_run'


	def rename(checkpoint_dir, replace_from, replace_to, add_prefix, dry_run):
	checkpoint = tf.train.get_checkpoint_state(checkpoint_dir)