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Diffstat (limited to 'report.txt')
| -rw-r--r-- | report.txt | 306 |
1 files changed, 306 insertions, 0 deletions
diff --git a/report.txt b/report.txt new file mode 100644 index 0000000..ef6775f --- /dev/null +++ b/report.txt @@ -0,0 +1,306 @@ +================================================================================ +Input tree: 'Code' +================================================================================ +-------------------------------------------------------------------------------- +Processing file 'Code/tfutils_test.py' + outputting to 'Code2/tfutils_test.py' +-------------------------------------------------------------------------------- + + +-------------------------------------------------------------------------------- +Processing file 'Code/d_scale_model.py' + outputting to 'Code2/d_scale_model.py' +-------------------------------------------------------------------------------- + + +-------------------------------------------------------------------------------- +Processing file 'Code/constants.py' + outputting to 'Code2/constants.py' +-------------------------------------------------------------------------------- + + +-------------------------------------------------------------------------------- +Processing file 'Code/loss_functions.py' + outputting to 'Code2/loss_functions.py' +-------------------------------------------------------------------------------- + +'Code/loss_functions.py' Line 64 +-------------------------------------------------------------------------------- + +Renamed function 'tf.pack' to 'tf.stack' + + Old: return tf.reduce_mean(tf.pack(scale_losses)) + ~~~~~~~ + New: return tf.reduce_mean(tf.stack(scale_losses)) + ~~~~~~~~ + +'Code/loss_functions.py' Line 99 +-------------------------------------------------------------------------------- + +Renamed function 'tf.pack' to 'tf.stack' + + Old: return tf.reduce_mean(tf.pack(scale_losses)) + ~~~~~~~ + New: return tf.reduce_mean(tf.stack(scale_losses)) + ~~~~~~~~ + +'Code/loss_functions.py' Line 83 +-------------------------------------------------------------------------------- + +Renamed function 'tf.pack' to 'tf.stack' + + Old: filter_x = tf.expand_dims(tf.pack([neg, pos]), 0) # [-1, 1] + ~~~~~~~ + New: filter_x = tf.expand_dims(tf.stack([neg, pos]), 0) # [-1, 1] + ~~~~~~~~ + +'Code/loss_functions.py' Line 84 +-------------------------------------------------------------------------------- + +Renamed function 'tf.pack' to 'tf.stack' + + Old: filter_y = tf.pack([tf.expand_dims(pos, 0), tf.expand_dims(neg, 0)]) # [[1],[-1]] + ~~~~~~~ + New: filter_y = tf.stack([tf.expand_dims(pos, 0), tf.expand_dims(neg, 0)]) # [[1],[-1]] + ~~~~~~~~ + +'Code/loss_functions.py' Line 118 +-------------------------------------------------------------------------------- + +Renamed function 'tf.pack' to 'tf.stack' + + Old: return tf.reduce_mean(tf.pack(scale_losses)) + ~~~~~~~ + New: return tf.reduce_mean(tf.stack(scale_losses)) + ~~~~~~~~ + + +-------------------------------------------------------------------------------- +Processing file 'Code/avg_runner.py' + outputting to 'Code2/avg_runner.py' +-------------------------------------------------------------------------------- + + +-------------------------------------------------------------------------------- +Processing file 'Code/process_data.py' + outputting to 'Code2/process_data.py' +-------------------------------------------------------------------------------- + + +-------------------------------------------------------------------------------- +Processing file 'Code/tfutils.py' + outputting to 'Code2/tfutils.py' +-------------------------------------------------------------------------------- + +'Code/tfutils.py' Line 96 +-------------------------------------------------------------------------------- + +Added keyword 'concat_dim' to reordered function 'tf.concat' +Added keyword 'values' to reordered function 'tf.concat' + + Old: elif num_tpad > 0: padded = tf.concat(1, [tpad, padded]) + + New: elif num_tpad > 0: padded = tf.concat(axis=1, values=[tpad, padded]) + ~~~~~ ~~~~~~~ + +'Code/tfutils.py' Line 97 +-------------------------------------------------------------------------------- + +Added keyword 'concat_dim' to reordered function 'tf.concat' +Added keyword 'values' to reordered function 'tf.concat' + + Old: elif num_bpad > 0: padded = tf.concat(1, [padded, bpad]) + + New: elif num_bpad > 0: padded = tf.concat(axis=1, values=[padded, bpad]) + ~~~~~ ~~~~~~~ + +'Code/tfutils.py' Line 98 +-------------------------------------------------------------------------------- + +Added keyword 'concat_dim' to reordered function 'tf.concat' +Added keyword 'values' to reordered function 'tf.concat' + + Old: if num_lpad > 0 and num_rpad > 0: padded = tf.concat(2, [lpad, padded, rpad]) + + New: if num_lpad > 0 and num_rpad > 0: padded = tf.concat(axis=2, values=[lpad, padded, rpad]) + ~~~~~ ~~~~~~~ + +'Code/tfutils.py' Line 99 +-------------------------------------------------------------------------------- + +Added keyword 'concat_dim' to reordered function 'tf.concat' +Added keyword 'values' to reordered function 'tf.concat' + + Old: elif num_lpad > 0: padded = tf.concat(2, [lpad, padded]) + + New: elif num_lpad > 0: padded = tf.concat(axis=2, values=[lpad, padded]) + ~~~~~ ~~~~~~~ + +'Code/tfutils.py' Line 100 +-------------------------------------------------------------------------------- + +Added keyword 'concat_dim' to reordered function 'tf.concat' +Added keyword 'values' to reordered function 'tf.concat' + + Old: elif num_rpad > 0: padded = tf.concat(2, [padded, rpad]) + + New: elif num_rpad > 0: padded = tf.concat(axis=2, values=[padded, rpad]) + ~~~~~ ~~~~~~~ + +'Code/tfutils.py' Line 95 +-------------------------------------------------------------------------------- + +Added keyword 'concat_dim' to reordered function 'tf.concat' +Added keyword 'values' to reordered function 'tf.concat' + + Old: if num_tpad > 0 and num_bpad > 0: padded = tf.concat(1, [tpad, padded, bpad]) + + New: if num_tpad > 0 and num_bpad > 0: padded = tf.concat(axis=1, values=[tpad, padded, bpad]) + ~~~~~ ~~~~~~~ + + +-------------------------------------------------------------------------------- +Processing file 'Code/loss_functions_test.py' + outputting to 'Code2/loss_functions_test.py' +-------------------------------------------------------------------------------- + + +-------------------------------------------------------------------------------- +Processing file 'Code/g_model.py' + outputting to 'Code2/g_model.py' +-------------------------------------------------------------------------------- + +'Code/g_model.py' Line 225 +-------------------------------------------------------------------------------- + +Renamed function 'tf.scalar_summary' to 'tf.summary.scalar' + + Old: summary_psnr_test = tf.scalar_summary('test_PSNR', + ~~~~~~~~~~~~~~~~~ + New: summary_psnr_test = tf.summary.scalar('test_PSNR', + ~~~~~~~~~~~~~~~~~ + +'Code/g_model.py' Line 227 +-------------------------------------------------------------------------------- + +Renamed function 'tf.scalar_summary' to 'tf.summary.scalar' + + Old: summary_sharpdiff_test = tf.scalar_summary('test_SharpDiff', + ~~~~~~~~~~~~~~~~~ + New: summary_sharpdiff_test = tf.summary.scalar('test_SharpDiff', + ~~~~~~~~~~~~~~~~~ + +'Code/g_model.py' Line 199 +-------------------------------------------------------------------------------- + +Renamed function 'tf.scalar_summary' to 'tf.summary.scalar' + + Old: loss_summary = tf.scalar_summary('train_loss_G', self.global_loss) + ~~~~~~~~~~~~~~~~~ + New: loss_summary = tf.summary.scalar('train_loss_G', self.global_loss) + ~~~~~~~~~~~~~~~~~ + +'Code/g_model.py' Line 232 +-------------------------------------------------------------------------------- + +Renamed function 'tf.merge_summary' to 'tf.summary.merge' + + Old: self.summaries_train = tf.merge_summary(self.summaries_train) + ~~~~~~~~~~~~~~~~ + New: self.summaries_train = tf.summary.merge(self.summaries_train) + ~~~~~~~~~~~~~~~~ + +'Code/g_model.py' Line 233 +-------------------------------------------------------------------------------- + +Renamed function 'tf.merge_summary' to 'tf.summary.merge' + + Old: self.summaries_test = tf.merge_summary(self.summaries_test) + ~~~~~~~~~~~~~~~~ + New: self.summaries_test = tf.summary.merge(self.summaries_test) + ~~~~~~~~~~~~~~~~ + +'Code/g_model.py' Line 117 +-------------------------------------------------------------------------------- + +Added keyword 'concat_dim' to reordered function 'tf.concat' +Added keyword 'values' to reordered function 'tf.concat' + + Old: inputs = tf.concat(3, [inputs, last_gen_frames]) + + New: inputs = tf.concat(axis=3, values=[inputs, last_gen_frames]) + ~~~~~ ~~~~~~~ + +'Code/g_model.py' Line 218 +-------------------------------------------------------------------------------- + +Renamed function 'tf.scalar_summary' to 'tf.summary.scalar' + + Old: summary_psnr_train = tf.scalar_summary('train_PSNR', + ~~~~~~~~~~~~~~~~~ + New: summary_psnr_train = tf.summary.scalar('train_PSNR', + ~~~~~~~~~~~~~~~~~ + +'Code/g_model.py' Line 220 +-------------------------------------------------------------------------------- + +Renamed function 'tf.scalar_summary' to 'tf.summary.scalar' + + Old: summary_sharpdiff_train = tf.scalar_summary('train_SharpDiff', + ~~~~~~~~~~~~~~~~~ + New: summary_sharpdiff_train = tf.summary.scalar('train_SharpDiff', + ~~~~~~~~~~~~~~~~~ + + +-------------------------------------------------------------------------------- +Processing file 'Code/utils.py' + outputting to 'Code2/utils.py' +-------------------------------------------------------------------------------- + +'Code/utils.py' Line 196 +-------------------------------------------------------------------------------- + +Renamed function 'tf.pack' to 'tf.stack' + + Old: filter_x = tf.expand_dims(tf.pack([neg, pos]), 0) # [-1, 1] + ~~~~~~~ + New: filter_x = tf.expand_dims(tf.stack([neg, pos]), 0) # [-1, 1] + ~~~~~~~~ + +'Code/utils.py' Line 197 +-------------------------------------------------------------------------------- + +Renamed function 'tf.pack' to 'tf.stack' + + Old: filter_y = tf.pack([tf.expand_dims(pos, 0), tf.expand_dims(neg, 0)]) # [[1],[-1]] + ~~~~~~~ + New: filter_y = tf.stack([tf.expand_dims(pos, 0), tf.expand_dims(neg, 0)]) # [[1],[-1]] + ~~~~~~~~ + + +-------------------------------------------------------------------------------- +Processing file 'Code/d_model.py' + outputting to 'Code2/d_model.py' +-------------------------------------------------------------------------------- + +'Code/d_model.py' Line 92 +-------------------------------------------------------------------------------- + +Renamed function 'tf.scalar_summary' to 'tf.summary.scalar' + + Old: loss_summary = tf.scalar_summary('loss_D', self.global_loss) + ~~~~~~~~~~~~~~~~~ + New: loss_summary = tf.summary.scalar('loss_D', self.global_loss) + ~~~~~~~~~~~~~~~~~ + +'Code/d_model.py' Line 93 +-------------------------------------------------------------------------------- + +Renamed function 'tf.merge_summary' to 'tf.summary.merge' + + Old: self.summaries = tf.merge_summary([loss_summary]) + ~~~~~~~~~~~~~~~~ + New: self.summaries = tf.summary.merge([loss_summary]) + ~~~~~~~~~~~~~~~~ + + |