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## tf_trt_converting_test.ipynb

      
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                / tf_trt_converting_test.ipynb
            
            
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              January 3, 2020 23:24
            
              
                testing tf-trt conversion with official sample code
              
          
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## min-char-rnn.py
"""
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)

## gist:711d0a014cc8ea16f77b5739a534503f
"""
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):

## index.html
<!doctype HTML>
<meta charset = 'utf-8'>
<!--http://rcharts.io/viewer/?6abeed2609dce3ea8479 -->
<html>
  <head>
    <link rel='stylesheet' href='//cdnjs.cloudflare.com/ajax/libs/nvd3/1.1.15-beta/nv.d3.min.css'>

    <script src='//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js' type='text/javascript'></script>
    <script src='//d3js.org/d3.v3.min.js' type='text/javascript'></script>
    <script src='//cdnjs.cloudflare.com/ajax/libs/nvd3/1.1.15-beta/nv.d3.min.js' type='text/javascript'></script>
	"""
	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)
	"""
	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):
	<!doctype HTML>
	<meta charset = 'utf-8'>
	<!--http://rcharts.io/viewer/?6abeed2609dce3ea8479 -->
	<html>
	<head>
	<link rel='stylesheet' href='//cdnjs.cloudflare.com/ajax/libs/nvd3/1.1.15-beta/nv.d3.min.css'>

	<script src='//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js' type='text/javascript'></script>
	<script src='//d3js.org/d3.v3.min.js' type='text/javascript'></script>
	<script src='//cdnjs.cloudflare.com/ajax/libs/nvd3/1.1.15-beta/nv.d3.min.js' type='text/javascript'></script>