fixed unconditional sampling reproducibility issue

src/generate_unconditional_samples.py

@@ -17,9 +17,6 @@ def sample_model(
  temperature=1,
  top_k=0,
 ):
- np.random.seed(seed)
- tf.set_random_seed(seed)
-
  enc = encoder.get_encoder(model_name)
  hparams = model.default_hparams()
  with open(os.path.join('models', model_name, 'hparams.json')) as f:
@@ -31,6 +28,9 @@ def sample_model(
  raise ValueError("Can't get samples longer than window size: %s" % hparams.n_ctx)
 
  with tf.Session(graph=tf.Graph()) as sess:
+ np.random.seed(seed)
+ tf.set_random_seed(seed)
+
  output = sample.sample_sequence(
  hparams=hparams, length=length,
  start_token=enc.encoder['<|endoftext|>'],