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using namespace std; | |
#include <algorithm> | |
#include <iostream> | |
#include <iterator> | |
#include <sstream> | |
#include <fstream> | |
#include <cassert> | |
#include <climits> | |
#include <cstdlib> | |
#include <cstring> |
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# The MIT License (MIT) | |
# Copyright (c) 2016 Vladimir Ignatev | |
# | |
# Permission is hereby granted, free of charge, to any person obtaining | |
# a copy of this software and associated documentation files (the "Software"), | |
# to deal in the Software without restriction, including without limitation | |
# the rights to use, copy, modify, merge, publish, distribute, sublicense, | |
# and/or sell copies of the Software, and to permit persons to whom the Software | |
# is furnished to do so, subject to the following conditions: | |
# |
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import tensorflow as tf | |
import numpy as np | |
if __name__ == '__main__': | |
np.random.seed(1) | |
# the size of the hidden state for the lstm (notice the lstm uses 2x of this amount so actually lstm will have state of size 2) | |
size = 1 | |
# 2 different sequences total | |
batch_size= 2 | |
# the maximum steps for both sequences is 10 |
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# Working example for my blog post at: | |
# https://danijar.github.io/structuring-your-tensorflow-models | |
import functools | |
import tensorflow as tf | |
from tensorflow.examples.tutorials.mnist import input_data | |
def doublewrap(function): | |
""" | |
A decorator decorator, allowing to use the decorator to be used without |