Making it compatible with TF2.0, adding basic requirements.txt

parser/base_network.py

@@ -27,7 +27,9 @@
 import codecs
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
+
 from tensorflow.python.client import timeline
 
 from debug.timer import Timer

parser/elmo_network.py

@@ -27,7 +27,8 @@
 import codecs
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.base_network import BaseNetwork
 from parser.neural import nn, nonlin, embeddings, recurrent, classifiers

parser/graph_outputs.py

@@ -30,7 +30,8 @@
 import time
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.neural import nn
 from scripts.chuliu_edmonds import chuliu_edmonds_one_root

parser/graph_parser_network.py

@@ -27,7 +27,8 @@
 import codecs
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.base_network import BaseNetwork
 from parser.neural import nn, nonlin, embeddings, recurrent, classifiers

parser/neural/classifiers.py

@@ -20,7 +20,8 @@
 from __future__ import print_function
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from . import nn
 from . import nonlin

parser/neural/embeddings.py

@@ -20,7 +20,8 @@
 from __future__ import print_function
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from . import nn
 from .classifiers import linear_attention

parser/neural/nn.py

@@ -60,15 +60,15 @@ def dropout(inputs, keep_prob, noise_shape=None):
 
   if isinstance(noise_shape, (tuple, list)):
     noise_shape = tf.stack(noise_shape)
-  return tf.nn.dropout(inputs, keep_prob=keep_prob, noise_shape=noise_shape)
+  return tf.nn.dropout(inputs, rate=1 - keep_prob, noise_shape=noise_shape)
 
 #===============================================================
 def unscaled_dropout(inputs, keep_prob, noise_shape=None):
   """"""
 
   if isinstance(noise_shape, (tuple, list)):
     noise_shape = tf.stack(noise_shape)
-  return tf.nn.dropout(inputs, keep_prob=keep_prob, noise_shape=noise_shape)*keep_prob
+  return tf.nn.dropout(inputs, rate=1 - keep_prob, noise_shape=noise_shape)*keep_prob
 
 #===============================================================
 def drop_mask(shape, keep_prob):

parser/neural/nonlin.py

@@ -20,8 +20,9 @@
 from __future__ import print_function
 
 import numpy as np
-import tensorflow as tf
-
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
+
 from tensorflow import identity, tanh, asinh
 from tensorflow.python.ops.nn import relu, elu
 

parser/neural/optimizers/adam_optimizer.py

@@ -19,7 +19,8 @@
 from __future__ import division
 from __future__ import print_function
 
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.neural.optimizers.optimizer import Optimizer
 

parser/neural/optimizers/amsgrad_optimizer.py

@@ -19,7 +19,8 @@
 from __future__ import division
 from __future__ import print_function
 
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.neural.optimizers.optimizer import Optimizer
 

parser/neural/optimizers/optimizer.py

@@ -21,7 +21,8 @@
 import six
 
 import re
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 #***************************************************************
 class Optimizer(object):

parser/neural/recurrent.py

@@ -20,7 +20,8 @@
 from __future__ import print_function
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from . import nn
 from . import nonlin

parser/parser_network.py

@@ -27,7 +27,8 @@
 import codecs
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.base_network import BaseNetwork
 from parser.neural import nn, nonlin, embeddings, recurrent, classifiers

parser/structs/buckets/dict_bucket.py

@@ -20,7 +20,8 @@
 from __future__ import print_function
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from .base_bucket import BaseBucket
 

parser/structs/buckets/list_bucket.py

@@ -20,7 +20,8 @@
 from __future__ import print_function
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from .base_bucket import BaseBucket
 

parser/structs/buckets/list_multibucket.py

@@ -21,7 +21,8 @@
 import six
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from .base_multibucket import BaseMultibucket
 from .list_bucket import ListBucket

parser/structs/conllu_dataset.py

@@ -36,7 +36,8 @@
 from collections import Counter
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.structs.buckets import DictMultibucket
 

parser/structs/vocabs/base_vocabs.py

@@ -27,7 +27,8 @@
 from collections import defaultdict as DefaultDict
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 import parser.neural.nn
 # id_vocab.root = 0

parser/structs/vocabs/feature_vocabs.py

@@ -27,7 +27,8 @@
 from collections import defaultdict as DefaultDict
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.structs.vocabs.base_vocabs import BaseVocab
 from . import conllu_vocabs as cv

parser/structs/vocabs/index_vocabs.py

@@ -21,7 +21,8 @@
 import six
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from .base_vocabs import BaseVocab 
 from . import conllu_vocabs as cv

parser/structs/vocabs/multivocabs.py

@@ -20,7 +20,8 @@
 from __future__ import print_function
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from .base_vocabs import BaseVocab
 from . import conllu_vocabs as cv

parser/structs/vocabs/pretrained_vocabs.py

@@ -39,7 +39,8 @@
 from collections import Counter
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.structs.vocabs.base_vocabs import SetVocab
 from . import conllu_vocabs as cv

parser/structs/vocabs/subtoken_vocabs.py

@@ -26,7 +26,8 @@
 from collections import Counter
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.structs.buckets import ListMultibucket
 from .base_vocabs import CountVocab

parser/structs/vocabs/token_vocabs.py

@@ -25,7 +25,8 @@
 from collections import Counter
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from parser.structs.vocabs.base_vocabs import CountVocab
 from . import conllu_vocabs as cv

parser/tagger_network.py

@@ -27,7 +27,8 @@
 import codecs
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
+tf.disable_v2_behavior()
 
 from debug.timer import Timer
 

requirements.txt

@@ -0,0 +1,5 @@
+tensorflow
+pandas
+matplotlib
+scipy
+psutil