ahaider3

" Adnan Haider
" Colors {{{
syntax enable           " enable syntax processing
" }}}
" Misc {{{
set backspace=indent,eol,start
let g:vimwiki_list = [{'path': '~/.wiki/'}]
" }}}
" Spaces & Tabs {{{
set tabstop=2           " 4 space tab

ahaider3

"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:
  
  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

ahaider3

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

ahaider3

import tensorflow as tf
import numpy as np 

X_DIM=2048
Y_DIM=128
 
tf.set_random_seed(123)
 
varz = tf.get_variable("v", [X_DIM, Y_DIM],
             dtype=tf.float32,

ahaider3

from __future__ import print_function

import sys
import os
import argparse
import numpy as np
import time
import tensorflow as tf

# single node cluster spec params