fixed seed arg to ensure reproducibility in conditional-samples model

src/interactive_conditional_samples.py

@@ -20,8 +20,6 @@ def interact_model(
  if batch_size is None:
  batch_size = 1
  assert nsamples % batch_size == 0
- np.random.seed(seed)
- tf.set_random_seed(seed)
 
  enc = encoder.get_encoder(model_name)
  hparams = model.default_hparams()
@@ -35,6 +33,8 @@ def interact_model(
 
  with tf.Session(graph=tf.Graph()) as sess:
  context = tf.placeholder(tf.int32, [batch_size, None])
+ np.random.seed(seed)
+ tf.set_random_seed(seed)
  output = sample.sample_sequence(
  hparams=hparams, length=length,
  context=context,