In [1]:

    

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# tensorflow
import tensorflow as tf
print('Tested with TensorFlow 1.2.0')
print ('Your TensorFlow version:', tf.__version__) # tested with v1.2
from tensorflow.contrib.learn.python.learn.estimators import constants
from tensorflow.contrib.learn.python.learn.estimators.dynamic_rnn_estimator import PredictionType

# Estimators
from tensorflow.contrib import learn

# Model builder
from tensorflow.contrib.learn.python.learn.estimators import model_fn as model_fn_lib
from tensorflow.contrib.learn.python.learn.estimators import rnn_common


# Input function
from tensorflow.python.estimator.inputs import numpy_io

# data and data preprocessing
from tensorflow.contrib.keras.python.keras.datasets import imdb 
from tensorflow.contrib.keras.python.keras.preprocessing import sequence

# Run an experiment
from tensorflow.contrib.learn.python.learn import learn_runner

# numpy
import numpy as np

# Enable TensorFlow logs
tf.logging.set_verbosity(tf.logging.INFO)


    

    




Tested with TensorFlow 1.2.0
Your TensorFlow version: 1.2.1

In [3]:

    

# map word to index
word_to_index = imdb.get_word_index()
# map index to word
index_to_word = {}
num_words = 0
for k in word_to_index: 
    index_to_word[word_to_index[k]] = k
    num_words += 1

# turn a sequence into a sentence
def get_sentence(seq):
    sentence = ''
    for v in seq:
        if v != 0: # 0 means it was just added to the sentence so it could have maxlen words
            sentence += index_to_word[int(v)] + ' '
    return sentence

# turn a sentence into a sequence
def gen_sequence(sentence):
    seq = []
    for word in sentence:
        seq.append(word_to_index[word])
    return np.asarray(seq, dtype=np.float32)

print('there are', num_words, 'words in the files')
#for i in range(1, 100):
#    print(i, index_to_word[i])
#print(index_to_word[49], index_to_word[212], index_to_word[242], index_to_word[136])


    

    




there are 88584 words in the files

In [4]:

    

'''
# ------------------- negative
print('-' * 30)
print('Example of a negative review')
print('-' * 30)

x = open('data/train/neg/0_3.txt')
r = x.readline()
print(r)

# ------------------ positive
print()
print('-' * 30)
print('Example of a positive review')
print('-' * 30)

x = open('data/train/pos/0_9.txt')
r = x.readline()
print(r)
'''


    

    
Out[4]:





"\n# ------------------- negative\nprint('-' * 30)\nprint('Example of a negative review')\nprint('-' * 30)\n\nx = open('data/train/neg/0_3.txt')\nr = x.readline()\nprint(r)\n\n# ------------------ positive\nprint()\nprint('-' * 30)\nprint('Example of a positive review')\nprint('-' * 30)\n\nx = open('data/train/pos/0_9.txt')\nr = x.readline()\nprint(r)\n"

In [5]:

    

print('Loading data')
NUM_WORDS = 1000
MAX_LENGTH = 250

(x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=NUM_WORDS)


    

    




Loading data

In [6]:

    

x_train.size


    

    
Out[6]:





25000

In [7]:

    

# parameters
LEARNING_RATE = 0.001
BATCH_SIZE = 16

def get_input_fn(x_in, y_in, shuffle=True, epochs=1):
    def length_bin(length, length_step=10, maxlen=MAX_LENGTH):
        # This function sets the sequence-length bin.
        # The returned value is the length of the longest sequence allowed in the bin.
        bin_id = (length // length_step + 1)*length_step
        return tf.cast(tf.minimum(bin_id, maxlen),tf.int64)
    
    def make_batch(key, ds):
        # Eliminate the extra padding
        ds = ds.map(lambda x,x_len,y: (x[:tf.cast(key,tf.int32)],x_len, y))
        
        # convert the entire contents of the bin to a batch
        ds = ds.batch(BATCH_SIZE)
        return ds
        
    
    def input_fn():
        ys = tf.contrib.data.Dataset.from_tensor_slices(y_in)
        
        x_len = np.minimum(np.array([len(seq) for seq in x_in]), MAX_LENGTH).astype('int32')
        
        # DynalicRNNEstimator uses `rnn_common.select_last_activations`
        #     https://github.com/tensorflow/tensorflow/blob/r1.2/tensorflow/contrib/learn/python/learn/estimators/dynamic_rnn_estimator.py
        # So we want to add padding at the end of the sequence, the default is the start of the sequence:
        #     https://www.tensorflow.org/versions/master/api_docs/python/tf/contrib/keras/preprocessing/sequence/pad_sequences
        xs = sequence.pad_sequences(x_in, maxlen=MAX_LENGTH, padding='post')
        
        ds = tf.contrib.data.Dataset.from_tensor_slices((xs, x_len, y_in))
        
        ds = ds.repeat(epochs)
        
        if shuffle:
            ds = ds.shuffle(10000)

        ds = ds.group_by_window(
            key_func=lambda x, x_len, y: length_bin(x_len), 
            reduce_func=make_batch,
            window_size=BATCH_SIZE)
        
        x,x_len,y = ds.make_one_shot_iterator().get_next()

        return {'x':x, rnn_common.RNNKeys.SEQUENCE_LENGTH_KEY:x_len},y
        
    return input_fn


    

In [8]:

    

train_input_fn = get_input_fn(x_train, y_train, BATCH_SIZE, epochs=100)
test_input_fn = get_input_fn(x_test, y_test, BATCH_SIZE, epochs=1)


    

In [9]:

    

x,y = train_input_fn()

with tf.train.MonitoredSession() as sess:
    for n in range(30):
        x_,y_ = sess.run([x,y])


    

In [10]:

    

x


    

    
Out[10]:





{'sequence_length': <tf.Tensor 'IteratorGetNext:1' shape=(?,) dtype=int32>,
 'x': <tf.Tensor 'IteratorGetNext:0' shape=(?, ?) dtype=int32>}

In [11]:

    

x_


    

    
Out[11]:





{'sequence_length': array([190, 193, 190, 193, 191, 190, 194, 192, 191, 197, 195, 194, 197,
        190, 198, 192], dtype=int32),
 'x': array([[  1,  13, 124, ...,   0,   0,   0],
        [  1,  54,  13, ...,   0,   0,   0],
        [  1, 348,  94, ...,   0,   0,   0],
        ..., 
        [  1, 260, 332, ...,   0,   0,   0],
        [  1,  51, 630, ...,   2,   0,   0],
        [  1,   2,   2, ...,   0,   0,   0]], dtype=int32)}

In [12]:

    

x_['x'].shape


    

    
Out[12]:





(16, 200)

In [13]:

    

x_['x']


    

    
Out[13]:





array([[  1,  13, 124, ...,   0,   0,   0],
       [  1,  54,  13, ...,   0,   0,   0],
       [  1, 348,  94, ...,   0,   0,   0],
       ..., 
       [  1, 260, 332, ...,   0,   0,   0],
       [  1,  51, 630, ...,   2,   0,   0],
       [  1,   2,   2, ...,   0,   0,   0]], dtype=int32)

In [14]:

    

y


    

    
Out[14]:





<tf.Tensor 'IteratorGetNext:2' shape=(?,) dtype=int64>

In [15]:

    

xc = tf.contrib.layers.sparse_column_with_integerized_feature('x',NUM_WORDS)
xc = tf.contrib.layers.embedding_column(xc,30)


    

    




WARNING:tensorflow:The default stddev value of initializer will change from "1/sqrt(vocab_size)" to "1/sqrt(dimension)" after 2017/02/25.

In [16]:

    

estimator = tf.contrib.learn.DynamicRnnEstimator(
     model_dir='tensorboard/RNN_dropout_2',
     problem_type = constants.ProblemType.CLASSIFICATION,
     prediction_type = PredictionType.SINGLE_VALUE,
     sequence_feature_columns = [xc],
     context_feature_columns = None,
     num_units = [256, 128],
     cell_type = 'lstm', 
     optimizer = 'Adam',
     learning_rate = LEARNING_RATE,
     num_classes = 2,
     dropout_keep_probabilities=[0.9,0.9,0.9])

# create experiment
def generate_experiment_fn():
  
  """
  Create an experiment function given hyperparameters.
  Returns:
    A function (output_dir) -> Experiment where output_dir is a string
    representing the location of summaries, checkpoints, and exports.
    this function is used by learn_runner to create an Experiment which
    executes model code provided in the form of an Estimator and
    input functions.
    All listed arguments in the outer function are used to create an
    Estimator, and input functions (training, evaluation, serving).
    Unlisted args are passed through to Experiment.
  """

  def _experiment_fn(output_dir):

    train_input = train_input_fn
    test_input = test_input_fn
    
    return tf.contrib.learn.Experiment(
        estimator,
        train_input_fn=train_input,
        eval_input_fn=test_input,
    )
  return _experiment_fn

# run experiment 
learn_runner.run(generate_experiment_fn(), output_dir='/tmp/sentiment_analysis')


    

    




WARNING:tensorflow:From /usr/local/lib/python3.4/dist-packages/tensorflow/contrib/learn/python/learn/estimators/dynamic_rnn_estimator.py:662: multi_class_target (from tensorflow.contrib.layers.python.layers.target_column) is deprecated and will be removed after 2016-11-12.
Instructions for updating:
This file will be removed after the deprecation date.Please switch to third_party/tensorflow/contrib/learn/python/learn/estimators/head.py
INFO:tensorflow:Using default config.
INFO:tensorflow:Using config: {'_tf_random_seed': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f9cf77ade10>, '_task_type': None, '_is_chief': True, '_num_ps_replicas': 0, '_session_config': None, '_tf_config': gpu_options {
  per_process_gpu_memory_fraction: 1.0
}
, '_evaluation_master': '', '_environment': 'local', '_task_id': 0, '_master': '', '_keep_checkpoint_max': 5, '_save_checkpoints_secs': 600, '_save_checkpoints_steps': None, '_model_dir': 'tensorboard/RNN_dropout_2', '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_num_worker_replicas': 0}
WARNING:tensorflow:From /usr/local/lib/python3.4/dist-packages/tensorflow/contrib/learn/python/learn/monitors.py:268: BaseMonitor.__init__ (from tensorflow.contrib.learn.python.learn.monitors) is deprecated and will be removed after 2016-12-05.
Instructions for updating:
Monitors are deprecated. Please use tf.train.SessionRunHook.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.






    




/usr/local/lib/python3.4/dist-packages/tensorflow/python/ops/gradients_impl.py:93: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.
  "Converting sparse IndexedSlices to a dense Tensor of unknown shape. "






    




INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Saving checkpoints for 1 into tensorboard/RNN_dropout_2/model.ckpt.
INFO:tensorflow:step = 1, loss = 0.69313
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-05-23:56:36
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INFO:tensorflow:Finished evaluation at 2017-07-05-23:56:44
INFO:tensorflow:Saving dict for global step 1: accuracy = 0.49375, global_step = 1, loss = 0.69356
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INFO:tensorflow:Saving checkpoints for 2587 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-00:06:36
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-2587
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INFO:tensorflow:Finished evaluation at 2017-07-06-00:06:43
INFO:tensorflow:Saving dict for global step 2587: accuracy = 0.840625, global_step = 2587, loss = 0.363763
INFO:tensorflow:Validation (step 2587): global_step = 2587, accuracy = 0.840625, loss = 0.363763
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INFO:tensorflow:Saving checkpoints for 5229 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-00:16:36
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INFO:tensorflow:Finished evaluation at 2017-07-06-00:16:44
INFO:tensorflow:Saving dict for global step 5229: accuracy = 0.86, global_step = 5229, loss = 0.331343
INFO:tensorflow:Validation (step 5229): global_step = 5229, accuracy = 0.86, loss = 0.331343
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INFO:tensorflow:Saving checkpoints for 7867 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-00:26:36
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INFO:tensorflow:Finished evaluation at 2017-07-06-00:26:44
INFO:tensorflow:Saving dict for global step 7867: accuracy = 0.886875, global_step = 7867, loss = 0.287673
INFO:tensorflow:Validation (step 7867): global_step = 7867, accuracy = 0.886875, loss = 0.287673
INFO:tensorflow:global_step/sec: 3.17804
INFO:tensorflow:step = 7901, loss = 0.303038 (31.466 sec)
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INFO:tensorflow:Saving checkpoints for 10482 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-00:36:36
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-10482
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INFO:tensorflow:Finished evaluation at 2017-07-06-00:36:44
INFO:tensorflow:Saving dict for global step 10482: accuracy = 0.865625, global_step = 10482, loss = 0.320344
INFO:tensorflow:Validation (step 10482): global_step = 10482, accuracy = 0.865625, loss = 0.320344
INFO:tensorflow:global_step/sec: 3.16137
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INFO:tensorflow:Saving checkpoints for 13119 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-00:46:36
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INFO:tensorflow:Finished evaluation at 2017-07-06-00:46:44
INFO:tensorflow:Saving dict for global step 13119: accuracy = 0.885, global_step = 13119, loss = 0.275164
INFO:tensorflow:Validation (step 13119): global_step = 13119, accuracy = 0.885, loss = 0.275164
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INFO:tensorflow:Saving checkpoints for 15766 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-00:56:36
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INFO:tensorflow:Finished evaluation at 2017-07-06-00:56:44
INFO:tensorflow:Saving dict for global step 15766: accuracy = 0.890625, global_step = 15766, loss = 0.274945
INFO:tensorflow:Validation (step 15766): global_step = 15766, accuracy = 0.890625, loss = 0.274945
INFO:tensorflow:global_step/sec: 3.16952
INFO:tensorflow:step = 15801, loss = 0.355121 (31.551 sec)
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INFO:tensorflow:Saving checkpoints for 18389 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-01:06:36
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-18389
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INFO:tensorflow:Finished evaluation at 2017-07-06-01:06:44
INFO:tensorflow:Saving dict for global step 18389: accuracy = 0.86875, global_step = 18389, loss = 0.334251
INFO:tensorflow:Validation (step 18389): global_step = 18389, accuracy = 0.86875, loss = 0.334251
INFO:tensorflow:global_step/sec: 3.19164
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INFO:tensorflow:Saving checkpoints for 21006 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-01:16:37
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INFO:tensorflow:Finished evaluation at 2017-07-06-01:16:44
INFO:tensorflow:Saving dict for global step 21006: accuracy = 0.875625, global_step = 21006, loss = 0.344151
INFO:tensorflow:Validation (step 21006): global_step = 21006, accuracy = 0.875625, loss = 0.344151
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INFO:tensorflow:Saving checkpoints for 23651 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-01:26:37
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-23651
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INFO:tensorflow:Finished evaluation at 2017-07-06-01:26:44
INFO:tensorflow:Saving dict for global step 23651: accuracy = 0.88, global_step = 23651, loss = 0.355953
INFO:tensorflow:Validation (step 23651): global_step = 23651, accuracy = 0.88, loss = 0.355953
INFO:tensorflow:global_step/sec: 3.18904
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INFO:tensorflow:Saving checkpoints for 26297 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-01:36:37
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-26297
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INFO:tensorflow:Finished evaluation at 2017-07-06-01:36:44
INFO:tensorflow:Saving dict for global step 26297: accuracy = 0.865625, global_step = 26297, loss = 0.450348
INFO:tensorflow:Validation (step 26297): global_step = 26297, accuracy = 0.865625, loss = 0.450348
INFO:tensorflow:global_step/sec: 3.21442
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INFO:tensorflow:Saving checkpoints for 28946 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-01:46:37
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INFO:tensorflow:Finished evaluation at 2017-07-06-01:46:45
INFO:tensorflow:Saving dict for global step 28946: accuracy = 0.868125, global_step = 28946, loss = 0.438408
INFO:tensorflow:Validation (step 28946): global_step = 28946, accuracy = 0.868125, loss = 0.438408
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INFO:tensorflow:Saving checkpoints for 31622 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-01:56:36
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INFO:tensorflow:Finished evaluation at 2017-07-06-01:56:44
INFO:tensorflow:Saving dict for global step 31622: accuracy = 0.883125, global_step = 31622, loss = 0.418232
INFO:tensorflow:Validation (step 31622): global_step = 31622, accuracy = 0.883125, loss = 0.418232
INFO:tensorflow:global_step/sec: 3.33107
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INFO:tensorflow:Saving checkpoints for 34319 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-02:06:37
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INFO:tensorflow:Finished evaluation at 2017-07-06-02:06:44
INFO:tensorflow:Saving dict for global step 34319: accuracy = 0.88625, global_step = 34319, loss = 0.454896
INFO:tensorflow:Validation (step 34319): global_step = 34319, accuracy = 0.88625, loss = 0.454896
INFO:tensorflow:global_step/sec: 3.23729
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INFO:tensorflow:Saving checkpoints for 36996 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-02:16:37
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-36996
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INFO:tensorflow:Finished evaluation at 2017-07-06-02:16:44
INFO:tensorflow:Saving dict for global step 36996: accuracy = 0.85, global_step = 36996, loss = 0.719273
INFO:tensorflow:Validation (step 36996): global_step = 36996, accuracy = 0.85, loss = 0.719273
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INFO:tensorflow:Saving checkpoints for 39671 into tensorboard/RNN_dropout_2/model.ckpt.
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INFO:tensorflow:Starting evaluation at 2017-07-06-02:26:37
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INFO:tensorflow:Finished evaluation at 2017-07-06-02:26:45
INFO:tensorflow:Saving dict for global step 39671: accuracy = 0.87625, global_step = 39671, loss = 0.601876
INFO:tensorflow:Validation (step 39671): global_step = 39671, accuracy = 0.87625, loss = 0.601876
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INFO:tensorflow:Saving checkpoints for 42285 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-02:36:37
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INFO:tensorflow:Finished evaluation at 2017-07-06-02:36:45
INFO:tensorflow:Saving dict for global step 42285: accuracy = 0.8475, global_step = 42285, loss = 0.680942
INFO:tensorflow:Validation (step 42285): global_step = 42285, accuracy = 0.8475, loss = 0.680942
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INFO:tensorflow:Saving checkpoints for 44457 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-02:46:37
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INFO:tensorflow:Finished evaluation at 2017-07-06-02:46:45
INFO:tensorflow:Saving dict for global step 44457: accuracy = 0.871875, global_step = 44457, loss = 0.612056
INFO:tensorflow:Validation (step 44457): global_step = 44457, accuracy = 0.871875, loss = 0.612056
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INFO:tensorflow:Saving checkpoints for 47064 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-02:56:37
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INFO:tensorflow:Finished evaluation at 2017-07-06-02:56:45
INFO:tensorflow:Saving dict for global step 47064: accuracy = 0.8675, global_step = 47064, loss = 0.640487
INFO:tensorflow:Validation (step 47064): global_step = 47064, accuracy = 0.8675, loss = 0.640487
INFO:tensorflow:global_step/sec: 3.22432
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INFO:tensorflow:Saving checkpoints for 49703 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-03:06:37
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INFO:tensorflow:Finished evaluation at 2017-07-06-03:06:45
INFO:tensorflow:Saving dict for global step 49703: accuracy = 0.846875, global_step = 49703, loss = 0.737966
INFO:tensorflow:Validation (step 49703): global_step = 49703, accuracy = 0.846875, loss = 0.737966
INFO:tensorflow:global_step/sec: 3.21642
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INFO:tensorflow:Saving checkpoints for 52327 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-03:16:38
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INFO:tensorflow:Finished evaluation at 2017-07-06-03:16:46
INFO:tensorflow:Saving dict for global step 52327: accuracy = 0.859375, global_step = 52327, loss = 0.718469
INFO:tensorflow:Validation (step 52327): global_step = 52327, accuracy = 0.859375, loss = 0.718469
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INFO:tensorflow:Saving checkpoints for 54910 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-03:26:38
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INFO:tensorflow:Finished evaluation at 2017-07-06-03:26:45
INFO:tensorflow:Saving dict for global step 54910: accuracy = 0.87, global_step = 54910, loss = 0.623973
INFO:tensorflow:Validation (step 54910): global_step = 54910, accuracy = 0.87, loss = 0.623973
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INFO:tensorflow:Saving checkpoints for 57499 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-03:36:38
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INFO:tensorflow:Finished evaluation at 2017-07-06-03:36:45
INFO:tensorflow:Saving dict for global step 57499: accuracy = 0.8575, global_step = 57499, loss = 0.670691
INFO:tensorflow:Validation (step 57499): global_step = 57499, accuracy = 0.8575, loss = 0.670691
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INFO:tensorflow:Saving checkpoints for 60082 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-03:46:38
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INFO:tensorflow:Finished evaluation at 2017-07-06-03:46:46
INFO:tensorflow:Saving dict for global step 60082: accuracy = 0.86375, global_step = 60082, loss = 0.709435
INFO:tensorflow:Validation (step 60082): global_step = 60082, accuracy = 0.86375, loss = 0.709435
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INFO:tensorflow:Saving checkpoints for 62659 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-03:56:38
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INFO:tensorflow:Finished evaluation at 2017-07-06-03:56:46
INFO:tensorflow:Saving dict for global step 62659: accuracy = 0.86625, global_step = 62659, loss = 0.717761
INFO:tensorflow:Validation (step 62659): global_step = 62659, accuracy = 0.86625, loss = 0.717761
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INFO:tensorflow:Saving checkpoints for 65281 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-04:06:39
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INFO:tensorflow:Finished evaluation at 2017-07-06-04:06:46
INFO:tensorflow:Saving dict for global step 65281: accuracy = 0.86875, global_step = 65281, loss = 0.76162
INFO:tensorflow:Validation (step 65281): global_step = 65281, accuracy = 0.86875, loss = 0.76162
INFO:tensorflow:global_step/sec: 3.17913
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INFO:tensorflow:Saving checkpoints for 67903 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-04:16:38
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-67903
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INFO:tensorflow:Finished evaluation at 2017-07-06-04:16:46
INFO:tensorflow:Saving dict for global step 67903: accuracy = 0.878125, global_step = 67903, loss = 0.715037
INFO:tensorflow:Validation (step 67903): global_step = 67903, accuracy = 0.878125, loss = 0.715037
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INFO:tensorflow:Saving checkpoints for 70524 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-04:26:38
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INFO:tensorflow:Finished evaluation at 2017-07-06-04:26:46
INFO:tensorflow:Saving dict for global step 70524: accuracy = 0.859375, global_step = 70524, loss = 0.774364
INFO:tensorflow:Validation (step 70524): global_step = 70524, accuracy = 0.859375, loss = 0.774364
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INFO:tensorflow:Saving checkpoints for 73154 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-04:36:38
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INFO:tensorflow:Finished evaluation at 2017-07-06-04:36:46
INFO:tensorflow:Saving dict for global step 73154: accuracy = 0.86125, global_step = 73154, loss = 0.680078
INFO:tensorflow:Validation (step 73154): global_step = 73154, accuracy = 0.86125, loss = 0.680078
INFO:tensorflow:global_step/sec: 3.2287
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INFO:tensorflow:Saving checkpoints for 75802 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-04:46:39
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-75802
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INFO:tensorflow:Finished evaluation at 2017-07-06-04:46:46
INFO:tensorflow:Saving dict for global step 75802: accuracy = 0.869375, global_step = 75802, loss = 0.758055
INFO:tensorflow:Validation (step 75802): global_step = 75802, accuracy = 0.869375, loss = 0.758055
INFO:tensorflow:global_step/sec: 3.18326
INFO:tensorflow:step = 75901, loss = 0.040328 (31.414 sec)
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INFO:tensorflow:Saving checkpoints for 78423 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-04:56:39
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INFO:tensorflow:Finished evaluation at 2017-07-06-04:56:47
INFO:tensorflow:Saving dict for global step 78423: accuracy = 0.841875, global_step = 78423, loss = 0.831313
INFO:tensorflow:Validation (step 78423): global_step = 78423, accuracy = 0.841875, loss = 0.831313
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INFO:tensorflow:Saving checkpoints for 81099 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-05:06:39
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INFO:tensorflow:Finished evaluation at 2017-07-06-05:06:46
INFO:tensorflow:Saving dict for global step 81099: accuracy = 0.861875, global_step = 81099, loss = 0.757186
INFO:tensorflow:Validation (step 81099): global_step = 81099, accuracy = 0.861875, loss = 0.757186
INFO:tensorflow:global_step/sec: 3.25756
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INFO:tensorflow:Saving checkpoints for 83778 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-05:16:40
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-83778
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INFO:tensorflow:Finished evaluation at 2017-07-06-05:16:48
INFO:tensorflow:Saving dict for global step 83778: accuracy = 0.871875, global_step = 83778, loss = 0.778436
INFO:tensorflow:Validation (step 83778): global_step = 83778, accuracy = 0.871875, loss = 0.778436
INFO:tensorflow:global_step/sec: 3.04163
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INFO:tensorflow:Saving checkpoints for 86219 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-05:26:39
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-86219
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INFO:tensorflow:Finished evaluation at 2017-07-06-05:26:47
INFO:tensorflow:Saving dict for global step 86219: accuracy = 0.859375, global_step = 86219, loss = 0.805616
INFO:tensorflow:Validation (step 86219): global_step = 86219, accuracy = 0.859375, loss = 0.805616
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INFO:tensorflow:Saving checkpoints for 88667 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-05:36:39
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-88667
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INFO:tensorflow:Finished evaluation at 2017-07-06-05:36:47
INFO:tensorflow:Saving dict for global step 88667: accuracy = 0.860625, global_step = 88667, loss = 0.755642
INFO:tensorflow:Validation (step 88667): global_step = 88667, accuracy = 0.860625, loss = 0.755642
INFO:tensorflow:global_step/sec: 3.0896
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INFO:tensorflow:Saving checkpoints for 91095 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-05:46:44
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-91095
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INFO:tensorflow:Finished evaluation at 2017-07-06-05:46:57
INFO:tensorflow:Saving dict for global step 91095: accuracy = 0.86875, global_step = 91095, loss = 0.688681
INFO:tensorflow:Validation (step 91095): global_step = 91095, accuracy = 0.86875, loss = 0.688681
INFO:tensorflow:global_step/sec: 2.18149
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INFO:tensorflow:Saving checkpoints for 93253 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-05:56:39
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INFO:tensorflow:Finished evaluation at 2017-07-06-05:56:47
INFO:tensorflow:Saving dict for global step 93253: accuracy = 0.85125, global_step = 93253, loss = 0.809005
INFO:tensorflow:Validation (step 93253): global_step = 93253, accuracy = 0.85125, loss = 0.809005
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INFO:tensorflow:Saving checkpoints for 95815 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-06:06:40
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INFO:tensorflow:Finished evaluation at 2017-07-06-06:06:48
INFO:tensorflow:Saving dict for global step 95815: accuracy = 0.863125, global_step = 95815, loss = 0.779549
INFO:tensorflow:Validation (step 95815): global_step = 95815, accuracy = 0.863125, loss = 0.779549
INFO:tensorflow:global_step/sec: 2.96221
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INFO:tensorflow:Saving checkpoints for 98244 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-06:16:40
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INFO:tensorflow:Finished evaluation at 2017-07-06-06:16:48
INFO:tensorflow:Saving dict for global step 98244: accuracy = 0.856875, global_step = 98244, loss = 0.818331
INFO:tensorflow:Validation (step 98244): global_step = 98244, accuracy = 0.856875, loss = 0.818331
INFO:tensorflow:global_step/sec: 3.03839
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INFO:tensorflow:Saving checkpoints for 100697 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-06:26:40
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INFO:tensorflow:Finished evaluation at 2017-07-06-06:26:48
INFO:tensorflow:Saving dict for global step 100697: accuracy = 0.854375, global_step = 100697, loss = 0.862186
INFO:tensorflow:Validation (step 100697): global_step = 100697, accuracy = 0.854375, loss = 0.862186
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INFO:tensorflow:Saving checkpoints for 103278 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-06:36:45
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INFO:tensorflow:Finished evaluation at 2017-07-06-06:36:58
INFO:tensorflow:Saving dict for global step 103278: accuracy = 0.8525, global_step = 103278, loss = 0.944405
INFO:tensorflow:Validation (step 103278): global_step = 103278, accuracy = 0.8525, loss = 0.944405
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INFO:tensorflow:Saving checkpoints for 105748 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-06:46:43
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INFO:tensorflow:Finished evaluation at 2017-07-06-06:46:54
INFO:tensorflow:Saving dict for global step 105748: accuracy = 0.86375, global_step = 105748, loss = 0.814916
INFO:tensorflow:Validation (step 105748): global_step = 105748, accuracy = 0.86375, loss = 0.814916
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INFO:tensorflow:Saving checkpoints for 108439 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-06:56:41
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-108439
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INFO:tensorflow:Finished evaluation at 2017-07-06-06:56:54
INFO:tensorflow:Saving dict for global step 108439: accuracy = 0.8625, global_step = 108439, loss = 0.848367
INFO:tensorflow:Validation (step 108439): global_step = 108439, accuracy = 0.8625, loss = 0.848367
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INFO:tensorflow:Saving checkpoints for 111136 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-07:06:43
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INFO:tensorflow:Finished evaluation at 2017-07-06-07:06:54
INFO:tensorflow:Saving dict for global step 111136: accuracy = 0.85875, global_step = 111136, loss = 0.838308
INFO:tensorflow:Validation (step 111136): global_step = 111136, accuracy = 0.85875, loss = 0.838308
INFO:tensorflow:global_step/sec: 2.76386
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INFO:tensorflow:Saving checkpoints for 113829 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-07:16:42
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-113829
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INFO:tensorflow:Finished evaluation at 2017-07-06-07:16:55
INFO:tensorflow:Saving dict for global step 113829: accuracy = 0.8775, global_step = 113829, loss = 0.79591
INFO:tensorflow:Validation (step 113829): global_step = 113829, accuracy = 0.8775, loss = 0.79591
INFO:tensorflow:global_step/sec: 2.74873
INFO:tensorflow:step = 113901, loss = 0.000138678 (36.380 sec)
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INFO:tensorflow:Saving checkpoints for 116524 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-07:26:41
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-116524
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INFO:tensorflow:Finished evaluation at 2017-07-06-07:26:52
INFO:tensorflow:Saving dict for global step 116524: accuracy = 0.875, global_step = 116524, loss = 0.691075
INFO:tensorflow:Validation (step 116524): global_step = 116524, accuracy = 0.875, loss = 0.691075
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INFO:tensorflow:Saving checkpoints for 119234 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-07:36:43
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INFO:tensorflow:Finished evaluation at 2017-07-06-07:36:56
INFO:tensorflow:Saving dict for global step 119234: accuracy = 0.86875, global_step = 119234, loss = 0.800944
INFO:tensorflow:Validation (step 119234): global_step = 119234, accuracy = 0.86875, loss = 0.800944
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INFO:tensorflow:Saving checkpoints for 121920 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-07:46:45
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INFO:tensorflow:Finished evaluation at 2017-07-06-07:46:59
INFO:tensorflow:Saving dict for global step 121920: accuracy = 0.864375, global_step = 121920, loss = 0.704449
INFO:tensorflow:Validation (step 121920): global_step = 121920, accuracy = 0.864375, loss = 0.704449
INFO:tensorflow:global_step/sec: 2.44094
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INFO:tensorflow:Saving checkpoints for 124599 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-07:56:45
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-124599
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INFO:tensorflow:Finished evaluation at 2017-07-06-07:56:59
INFO:tensorflow:Saving dict for global step 124599: accuracy = 0.871875, global_step = 124599, loss = 0.743453
INFO:tensorflow:Validation (step 124599): global_step = 124599, accuracy = 0.871875, loss = 0.743453
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INFO:tensorflow:Saving checkpoints for 127277 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-08:06:46
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INFO:tensorflow:Finished evaluation at 2017-07-06-08:06:56
INFO:tensorflow:Saving dict for global step 127277: accuracy = 0.86375, global_step = 127277, loss = 0.754613
INFO:tensorflow:Validation (step 127277): global_step = 127277, accuracy = 0.86375, loss = 0.754613
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INFO:tensorflow:Saving checkpoints for 129964 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-08:16:42
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INFO:tensorflow:Finished evaluation at 2017-07-06-08:16:55
INFO:tensorflow:Saving dict for global step 129964: accuracy = 0.858125, global_step = 129964, loss = 0.946075
INFO:tensorflow:Validation (step 129964): global_step = 129964, accuracy = 0.858125, loss = 0.946075
INFO:tensorflow:global_step/sec: 2.74409
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INFO:tensorflow:Saving checkpoints for 132661 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-08:26:41
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-132661
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INFO:tensorflow:Finished evaluation at 2017-07-06-08:26:56
INFO:tensorflow:Saving dict for global step 132661: accuracy = 0.865625, global_step = 132661, loss = 0.867325
INFO:tensorflow:Validation (step 132661): global_step = 132661, accuracy = 0.865625, loss = 0.867325
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INFO:tensorflow:Saving checkpoints for 135359 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-08:36:42
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INFO:tensorflow:Finished evaluation at 2017-07-06-08:36:49
INFO:tensorflow:Saving dict for global step 135359: accuracy = 0.87875, global_step = 135359, loss = 0.773227
INFO:tensorflow:Validation (step 135359): global_step = 135359, accuracy = 0.87875, loss = 0.773227
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INFO:tensorflow:Saving checkpoints for 138083 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-08:46:42
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INFO:tensorflow:Finished evaluation at 2017-07-06-08:46:50
INFO:tensorflow:Saving dict for global step 138083: accuracy = 0.86875, global_step = 138083, loss = 0.763312
INFO:tensorflow:Validation (step 138083): global_step = 138083, accuracy = 0.86875, loss = 0.763312
INFO:tensorflow:global_step/sec: 3.26414
INFO:tensorflow:step = 138101, loss = 8.77397e-05 (30.636 sec)
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INFO:tensorflow:Saving checkpoints for 140796 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-08:56:42
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INFO:tensorflow:Finished evaluation at 2017-07-06-08:56:50
INFO:tensorflow:Saving dict for global step 140796: accuracy = 0.86, global_step = 140796, loss = 0.792829
INFO:tensorflow:Validation (step 140796): global_step = 140796, accuracy = 0.86, loss = 0.792829
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INFO:tensorflow:Saving checkpoints for 143525 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-09:06:42
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-143525
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INFO:tensorflow:Finished evaluation at 2017-07-06-09:06:50
INFO:tensorflow:Saving dict for global step 143525: accuracy = 0.8675, global_step = 143525, loss = 0.865234
INFO:tensorflow:Validation (step 143525): global_step = 143525, accuracy = 0.8675, loss = 0.865234
INFO:tensorflow:global_step/sec: 3.24742
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INFO:tensorflow:Saving checkpoints for 146072 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-09:16:46
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-146072
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INFO:tensorflow:Finished evaluation at 2017-07-06-09:16:58
INFO:tensorflow:Saving dict for global step 146072: accuracy = 0.865625, global_step = 146072, loss = 0.796318
INFO:tensorflow:Validation (step 146072): global_step = 146072, accuracy = 0.865625, loss = 0.796318
INFO:tensorflow:global_step/sec: 2.46807
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INFO:tensorflow:Saving checkpoints for 148559 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-09:26:47
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-148559
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INFO:tensorflow:Finished evaluation at 2017-07-06-09:27:01
INFO:tensorflow:Saving dict for global step 148559: accuracy = 0.87, global_step = 148559, loss = 0.747112
INFO:tensorflow:Validation (step 148559): global_step = 148559, accuracy = 0.87, loss = 0.747112
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INFO:tensorflow:Saving checkpoints for 151030 into tensorboard/RNN_dropout_2/model.ckpt.
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INFO:tensorflow:Starting evaluation at 2017-07-06-09:36:43
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INFO:tensorflow:Finished evaluation at 2017-07-06-09:36:56
INFO:tensorflow:Saving dict for global step 151030: accuracy = 0.855, global_step = 151030, loss = 0.801583
INFO:tensorflow:Validation (step 151030): global_step = 151030, accuracy = 0.855, loss = 0.801583
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INFO:tensorflow:Saving checkpoints for 153538 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-09:46:47
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INFO:tensorflow:Finished evaluation at 2017-07-06-09:47:01
INFO:tensorflow:Saving dict for global step 153538: accuracy = 0.865625, global_step = 153538, loss = 0.819129
INFO:tensorflow:Validation (step 153538): global_step = 153538, accuracy = 0.865625, loss = 0.819129
INFO:tensorflow:global_step/sec: 2.30643
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INFO:tensorflow:Saving checkpoints for 155999 into tensorboard/RNN_dropout_2/model.ckpt.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-09:56:44
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INFO:tensorflow:Finished evaluation at 2017-07-06-09:56:53
INFO:tensorflow:Saving dict for global step 155999: accuracy = 0.87625, global_step = 155999, loss = 0.774048
INFO:tensorflow:Validation (step 155999): global_step = 155999, accuracy = 0.87625, loss = 0.774048
INFO:tensorflow:global_step/sec: 2.83789
INFO:tensorflow:step = 156001, loss = 0.0414298 (35.238 sec)
INFO:tensorflow:global_step/sec: 4.05082
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INFO:tensorflow:global_step/sec: 4.01443
INFO:tensorflow:step = 156201, loss = 0.000319121 (24.910 sec)
INFO:tensorflow:Saving checkpoints for 156260 into tensorboard/RNN_dropout_2/model.ckpt.
INFO:tensorflow:Loss for final step: 0.00131441.
WARNING:tensorflow:sequence_input_from_feature_columns (from tensorflow.contrib.layers.python.layers.feature_column_ops) is experimental and may change or be removed at any time, and without warning.
INFO:tensorflow:Starting evaluation at 2017-07-06-09:57:56
INFO:tensorflow:Restoring parameters from tensorboard/RNN_dropout_2/model.ckpt-156260
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INFO:tensorflow:Finished evaluation at 2017-07-06-09:58:04
INFO:tensorflow:Saving dict for global step 156260: accuracy = 0.863125, global_step = 156260, loss = 0.740761






    
Out[16]:





({'accuracy': 0.86312503, 'global_step': 156260, 'loss': 0.7407614}, [])

In [ ]:

    

estimator = tf.contrib.learn.DynamicRnnEstimator(
     model_dir='tensorboard/RNN',
     problem_type = constants.ProblemType.CLASSIFICATION,
     prediction_type = PredictionType.SINGLE_VALUE,
     sequence_feature_columns = [xc],
     context_feature_columns = None,
     num_units = [256, 128],
     cell_type = 'lstm', 
     optimizer = 'Adam',
     learning_rate = LEARNING_RATE,
     num_classes = 2)


    

In [ ]:

    

# generate predictions
preds = list(estimator.predict(input_fn=test_input_fn))

# number of outputs we want to see the prediction
NUM_EVAL = 10
def check_prediction(x, y, p, index):
    print('prediction:', p[index]['classes'])
    print('target:', y[index])
    print('sentence:', get_sentence(x[index]))

for i in range(NUM_EVAL):
    index = np.random.randint(limit)
    print('test:', index)
    print('-' * 30)
    print(np.asarray(x_test[index], dtype=np.int32))
    check_prediction(x_test, y_test, preds, index)
    print()


    

In [ ]: