Project dependencies may have API risk issues

[PyDeps]

Hi, In tensorflow-wavenet, inappropriate dependency versioning constraints can cause risks.

Below are the dependencies and version constraints that the project is using

librosa>=0.5
tensorflow>=1.0.0

The version constraint == will introduce the risk of dependency conflicts because the scope of dependencies is too strict.
The version constraint No Upper Bound and * will introduce the risk of the missing API Error because the latest version of the dependencies may remove some APIs.

After further analysis, in this project,
The version constraint of dependency librosa can be changed to >=0.2.0,<=0.7.2.

The above modification suggestions can reduce the dependency conflicts as much as possible,
and introduce the latest version as much as possible without calling Error in the projects.

The invocation of the current project includes all the following methods.

The calling methods from the librosa

librosa.output.write_wav

The calling methods from the all methods

sum
tf.trainable_variables
tf.Variable
tf.nn.embedding_lookup
np.logaddexp.reduce
coord.join
enumerate
np.random.randint
self._generator_conv
net.predict_proba
self._generator_causal_layer
self.coord.should_stop
tf.RunOptions
os.makedirs
q.enqueue_many
tf.train.AdamOptimizer
audio_reader.trim_silence
args.optimizer.optimizer_factory
tf.summary.audio
q.dequeue
tf.train.MomentumOptimizer
argparse.ArgumentTypeError
create_variable
self._one_hot
tf.histogram_summary
get_arguments
tf.div
tf.zeros
tf.sigmoid
sys.stdout.flush
initializer
tf.train.Saver
time_to_batch
writer.add_graph
librosa.load
tf.summary.merge_all
reader.dequeue
np.nonzero
WaveNetModel.calculate_receptive_field
get_default_logdir
load_generic_audio
tf.train.get_checkpoint_state
np.seterr
self._create_generator
tf.size
open
librosa.output.write_wav
var.append
dict
audio.reshape
f.write
create_bias_variable
np.arange
self._generator_dilation_layer
find_files
tf.pad
os.path.join
optimizer.minimize
np.array
tf.constant
trim_silence
write_wav
net.loss
tf.RunMetadata
abs
tf.constant_initializer
saver.restore
list
self._embed_gc
randomize_files
tf.PaddingFIFOQueue
id_reg_expression.findall
self._create_variables
waveform.append
tf.global_variables
np.pad
parser.parse_args
self._create_causal_layer
tf.cond
tf.shape
tf.transpose
np.testing.assert_allclose
float
batch_to_time
np.reshape
sess.run
tf.placeholder
tf.add_n
self._create_dilation_layer
int
len
tf.nn.conv1d
WaveNetModel
librosa.core.frames_to_samples
tf.slice
ckpt.model_checkpoint_path.split
thread.start
create_seed
threading.Thread
tf.nn.l2_loss
fnmatch.filter
ckpt.model_checkpoint_path.split.split
self.threads.append
tf.get_default_graph
tf.Session
tf.summary.FileWriter
tf.name_scope
tf.nn.softmax
tf.to_float
tf.nn.softmax_cross_entropy_with_logits
not_all_have_id
tf.cast
tf.add
datetime.now
time_since_print.total_seconds
mu_law_decode
os.walk
np.identity
tf.one_hot
parser.add_argument
tf.train.RMSPropOptimizer
self.queue.dequeue_many
json.load
format
s.lower
tf.ConfigProto
tf.to_int32
librosa.feature.rmse
create_embedding_table
causal_conv
tf.global_variables_initializer
datetime.now.str.replace
main
push_ops.append
save
global_condition.get_shape
str
self.gc_queue.dequeue_many
tf.train.start_queue_runners
load
outputs.extend
q.enqueue
tf.sign
tf.FIFOQueue
mu_law_encode
net.predict_proba_incremental
tf.train.Coordinator
id_reg_exp.findall
time.time
get_category_cardinality
print
tl.generate_chrome_trace_format
np.exp
argparse.ArgumentParser
writer.add_run_metadata
self._create_network
seed.sess.run.tolist
NotImplementedError
ValueError
tf.reshape
AudioReader
range
files.append
os.path.exists
tf.tanh
np.random.choice
tf.summary.scalar
saver.save
re.compile
tf.nn.relu
tf.reduce_mean
random.randint
tf.minimum
reader.dequeue_gc
timeline.Timeline
np.log
tf.abs
init_ops.append
reader.start_threads
optimizer_factory.keys
self.queue.enqueue
tf.variable_scope
self.gc_queue.enqueue
validate_directories
tf.matmul
outputs.append
tf.log1p
tf.contrib.layers.xavier_initializer_conv2d
writer.add_summary
coord.request_stop

@developer
Could please help me check this issue?
May I pull a request to fix it?
Thank you very much.