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|
================================================================================
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])
~~~~~~~~~~~~~~~~
|
