put type back to float32
@@ -40,9 +40,9 @@ base_params = {
#"summaries": ['learning_rate', 'variables', 'gradients', 'larc_summaries',
# 'variable_norm', 'gradient_norm', 'global_gradient_norm'],
#"max_grad_norm": 32768.0,
- #"dtype": tf.float32,
- "dtype": "mixed",
- "loss_scaling": "Backoff",
+ "dtype": tf.float32,
+ #"dtype": "mixed",
+ #"loss_scaling": "Backoff",
"encoder": GNMTLikeEncoderWithEmbedding,
"encoder_params": {
"initializer": tf.random_uniform_initializer,
