fix pretty print (#1441)

* grid sample

* grid sample

* grid sample

* grid sample

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* changelog

* version

Co-authored-by: J. Borovec <[email protected]>

Author: williamFalcon

CHANGELOG.md

@@ -15,6 +15,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed default `DistributedSampler` for DDP training ([#1425](https://github.com/PyTorchLightning/pytorch-lightning/pull/1425))
 - Fixed workers warning not on windows ([#1430](https://github.com/PyTorchLightning/pytorch-lightning/pull/1430))
 - Fixed returning tuple from `run_training_batch` ([#1431](https://github.com/PyTorchLightning/pytorch-lightning/pull/1431))
+- Fixed gradient clipping ([#1438](https://github.com/PyTorchLightning/pytorch-lightning/pull/1438))
+- Fixed pretty print ([#1441](https://github.com/PyTorchLightning/pytorch-lightning/pull/1441))
 
 ## [0.7.2] - 2020-04-07
 

pytorch_lightning/__init__.py

@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '0.7.3rc1'
+__version__ = '0.7.3rc2'
 __author__ = 'William Falcon et al.'
 __author_email__ = '[email protected]'
 __license__ = 'Apache-2.0'

pytorch_lightning/trainer/evaluation_loop.py

@@ -377,10 +377,10 @@ def run_evaluation(self, test_mode: bool = False):
         self.add_tqdm_metrics(prog_bar_metrics)
 
         # log results of test
-        if test_mode and self.proc_rank == 0 and prog_bar_metrics:
+        if test_mode and self.proc_rank == 0 and len(callback_metrics) > 0:
             print('-' * 80)
             print('TEST RESULTS')
-            pprint(prog_bar_metrics)
+            pprint(callback_metrics)
             print('-' * 80)
 
         # log metrics