we in there

Execute.py

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+# encoding: UTF-8
+# Copyright 2017 Google.com
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import tensorflow as tf
+import numpy as np
+import my_txtutils
+
+# these must match what was saved !
+ALPHASIZE = my_txtutils.ALPHASIZE
+NLAYERS = 3
+INTERNALSIZE = 512
+
+# Data files can be downloaded from the following locations:
+#    - Fully trained on Shakespeare or Tensorflow Python source:
+#      https://drive.google.com/file/d/0B5njS_LX6IsDc2lWTmtyanRpOHc/view?usp=sharing
+#    - Partially trained, to see how they make progress in training:
+#      https://drive.google.com/file/d/0B5njS_LX6IsDUlFsMkdhclNSazA/view?usp=sharing
+
+shakespeareC0 = "checkpoints/rnn_train_1495455686-0"      # random
+shakespeareC1 = "checkpoints/rnn_train_1495455686-150000"  # lower case gibberish
+shakespeareC2 = "checkpoints/rnn_train_1495455686-300000"  # words, paragraphs
+shakespeareC3 = "checkpoints/rnn_train_1495455686-450000"  # structure of a play, unintelligible words
+shakespeareC4 = "checkpoints/rnn_train_1495447371-15000000"  # better structure of a play, character names (not very good), 4-letter words in correct English
+shakespeareC5 = "checkpoints/rnn_train_1495447371-45000000"  # good names, even when invented (ex: SIR NATHANIS LORD OF SYRACUSE), correct 6-8 letter words
+shakespeareB10 = "checkpoints/rnn_train_1495440473-102000000" # ACT V SCENE IV, [Re-enter KING JOHN with MARDIAN], DON ADRIANO DRAGHAMONE <- invented!
+# most scene directions correct: [Enter FERDINAND] [Dies] [Exit ROSALIND] [To COMINIUS with me] [Enter PRINCE HENRY, and Attendants], correct English.
+
+pythonA0 = "checkpoints/rnn_train_1495458538-300000"  # gibberish
+pythonA1 = "checkpoints/rnn_train_1495458538-1200000"  # some function calls with parameters and ()
+pythonA2 = "checkpoints/rnn_train_1495458538-10200000"  # starts looking Tensorflow Python, nested () and [] not perfect yet
+pythonB10 = "checkpoints/rnn_train_1495458538-201600000"  # can even recite the Apache license
+
+# use topn=10 for all but the last one which works with topn=2 for Shakespeare and topn=3 for Python
+author = shakespeareB10
+
+ncnt = 0
+with tf.Session() as sess:
+    new_saver = tf.train.import_meta_graph('checkpoints/rnn_train_1495455686-0.meta')
+    new_saver.restore(sess, author)
+    x = my_txtutils.convert_from_alphabet(ord("L"))
+    x = np.array([[x]])  # shape [BATCHSIZE, SEQLEN] with BATCHSIZE=1 and SEQLEN=1
+
+    # initial values
+    y = x
+    h = np.zeros([1, INTERNALSIZE * NLAYERS], dtype=np.float32)  # [ BATCHSIZE, INTERNALSIZE * NLAYERS]
+    file = open("generated_output.txt", "w")
+    file.write("Hi there, this a generated output poem from the shakespeare machine. have fun! \n\n")
+    for i in range(10000):
+        yo, h = sess.run(['Yo:0', 'H:0'], feed_dict={'X:0': y, 'pkeep:0': 1., 'Hin:0': h, 'batchsize:0': 1})
+
+        # If sampling is be done from the topn most likely characters, the generated text
+        # is more credible and more "english". If topn is not set, it defaults to the full
+        # distribution (ALPHASIZE)
+
+        # Recommended: topn = 10 for intermediate checkpoints, topn=2 or 3 for fully trained checkpoints
+
+        c = my_txtutils.sample_from_probabilities(yo, topn=2)
+        y = np.array([[c]])  # shape [BATCHSIZE, SEQLEN] with BATCHSIZE=1 and SEQLEN=1
+        c = chr(my_txtutils.convert_to_alphabet(c))
+        print(c, end="")
+        file.write(c)
+
+        if c == '\n':
+            ncnt = 0
+        else:
+            ncnt += 1
+        if ncnt == 100:
+            print("")
+            file.write("")
+            ncnt = 0
+    file.close()
+
+
+#        Example output:
+#
+#
+# ACT I
+#
+#
+#
+# SCENE III	An ante-chamber. The COUNT's palace.
+#
+#
+# [Enter CLEOMENES, with the Lord SAY]
+#
+# Chamberlain	Let me see your worshing in my hands.
+#
+# LUCETTA	I am a sign of me, and sorrow sounds it.
+#
+# [Enter CAPULET and LADY MACBETH]
+#
+# What manner of mine is mad, and soon arise?
+#
+# JULIA	What shall by these things were a secret fool,
+# That still shall see me with the best and force?
+#
+# Second Watchman	Ay, but we see them not at home: the strong and fair of thee,
+# The seasons are as safe as the time will be a soul,
+# That works out of this fearful sore of feather
+# To tell her with a storm of something storms
+# That have some men of man is now the subject.
+# What says the story, well say we have said to thee,
+# That shall she not, though that the way of hearts,
+# We have seen his service that we may be sad.
+#
+# [Retains his house]
+# ADRIANA	What says my lord the Duke of Burgons of Tyre?
+#
+# DOMITIUS ENOBARBUS	But, sir, you shall have such a sweet air from the state,
+# There is not so much as you see the store,
+# As if the base should be so foul as you.
+#
+# DOMITIUS ENOY	If I do now, if you were not to seek to say,
+# That you may be a soldier's father for the field.
+#
+# [Exit]