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| author | Matt Cooper <matthew_cooper@brown.edu> | 2016-12-09 18:47:49 -0500 |
|---|---|---|
| committer | Matt Cooper <matthew_cooper@brown.edu> | 2016-12-09 18:47:49 -0500 |
| commit | 0197b738067ed76cba63b0eff41ca65ae5e0341d (patch) | |
| tree | 4f03b188a35d43942cb5dd01b53fc043ee90c2ff | |
| parent | 9c6b43a967227f7bea591f1647b8dff9953cd7ad (diff) | |
Updated for tensorflow 0.12
| -rw-r--r-- | Code/avg_runner.py | 2 | ||||
| -rw-r--r-- | Code/g_model.py | 9 |
2 files changed, 5 insertions, 6 deletions
diff --git a/Code/avg_runner.py b/Code/avg_runner.py index 959ff90..6809187 100644 --- a/Code/avg_runner.py +++ b/Code/avg_runner.py @@ -51,7 +51,7 @@ class AVGRunner: print 'Init variables...' self.saver = tf.train.Saver(keep_checkpoint_every_n_hours=2) - self.sess.run(tf.initialize_all_variables()) + self.sess.run(tf.global_variables_initializer()) # if load path specified, load a saved model if model_load_path is not None: diff --git a/Code/g_model.py b/Code/g_model.py index 4e0df31..5dc8265 100644 --- a/Code/g_model.py +++ b/Code/g_model.py @@ -106,15 +106,14 @@ class GeneratorModel: scale_height = int(height * scale_factor) scale_width = int(width * scale_factor) - inputs = tf.image.resize_images(inputs, scale_height, scale_width) - scale_gts = tf.image.resize_images(gts, scale_height, scale_width) + inputs = tf.image.resize_images(inputs, [scale_height, scale_width]) + scale_gts = tf.image.resize_images(gts, [scale_height, scale_width]) # for all scales but the first, add the frame generated by the last # scale to the input if scale_num > 0: - last_gen_frames = tf.image.resize_images(last_gen_frames, - scale_height, - scale_width) + last_gen_frames = tf.image.resize_images( + last_gen_frames,[scale_height, scale_width]) inputs = tf.concat(3, [inputs, last_gen_frames]) # generated frame predictions |