Fix layer output for RNN models.
@@ -1668,7 +1668,7 @@ class Model(Network):
random_mutation=random_mutation, log_level=log_level)
else:
parameters = DLPyDict(table=table, model=model, init_weights=init_weights, text_parms=text_parms,
- layers=layers, copy_vars=copy_vars, casout=casout,
+ layer_image_type='WIDE', layers=layers, copy_vars=copy_vars, casout=casout,
gpu=gpu, mini_batch_buf_size=mini_batch_buf_size, buffer_size=buffer_size,
layer_out=layer_out, encode_name=encode_name, n_threads=n_threads,
random_flip=random_flip, random_crop=random_crop, top_probs=top_probs,
