Remove warning (#1634)

Remove warning

Update CHANGELOG.md

.github/workflows/ci-testing.yml

@@ -1,6 +1,6 @@
 name: CI testing
 
-# https://help.github.com/en/actions/reference/events-that-trigger-workflows
+# see: https://help.github.com/en/actions/reference/events-that-trigger-workflows
 on:
   # Trigger the workflow on push or pull request,
   # but only for the master branch
@@ -116,6 +116,7 @@ jobs:
         python setup.py check --metadata --strict
         python setup.py sdist
         twine check dist/*
+
     #- name: Try install package
     #  if: ! startsWith(matrix.os, 'windows')
     #  run: |

CHANGELOG.md

@@ -14,6 +14,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Removed
 
+- Removed Warning from trainer loop ([#1634](https://github.com/PyTorchLightning/pytorch-lightning/pull/1634))
+
 ### Fixed
 
 

pytorch_lightning/__init__.py

@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '0.7.4'
+__version__ = '0.7.5rc1'
 __author__ = 'William Falcon et al.'
 __author_email__ = 'waf2107@columbia.edu'
 __license__ = 'Apache-2.0'

pytorch_lightning/trainer/training_loop.py

@@ -299,9 +299,6 @@ def has_arg(self, *args):
         """Warning: this is just empty shell for code implemented in other class."""
 
     def train(self):
-        rank_zero_warn('Displayed epoch numbers in the progress bar start from "1" until v0.6.x,'
-                       ' but will start from "0" in v0.8.0.', RuntimeWarning)
-
         # get model
         model = self.get_model()
 

tests/trainer/test_trainer.py

@@ -120,12 +120,13 @@ class CurrentTestModel(LightTrainDataloader, LightValidationStepMixin, TestModel
     new_weights_path = os.path.join(tmpdir, 'save_test.ckpt')
     trainer.save_checkpoint(new_weights_path)
 
-    # load new model
-    tags_path = tutils.get_data_path(logger, path_dir=tmpdir)
-    tags_path = os.path.join(tags_path, 'meta_tags.csv')
+    # assert ckpt has hparams
+    ckpt = torch.load(new_weights_path)
+    assert 'hparams' in ckpt.keys(), 'hparams missing from checkpoints'
+
+    # won't load without hparams in the ckpt
     model_2 = LightningTestModel.load_from_checkpoint(
         checkpoint_path=new_weights_path,
-        tags_csv=tags_path
     )
     model_2.eval()