remove deprecated API for v0.8

.drone.yml

@@ -38,7 +38,7 @@ steps:
     #- pip install -r ./docs/requirements.txt --user -q
     - pip list
     - python -c "import torch ; print(' & '.join([torch.cuda.get_device_name(i) for i in range(torch.cuda.device_count())]) if torch.cuda.is_available() else 'only CPU')"
-    - coverage run --source pytorch_lightning -m py.test pytorch_lightning tests benchmarks -v  # --flake8
+    - coverage run --source pytorch_lightning -m py.test pytorch_lightning tests benchmarks -v  --durations=25 # --flake8
     #- cd docs; make doctest; make coverage
     - coverage report
     - codecov --token $CODECOV_TOKEN  # --pr $DRONE_PULL_REQUEST --build $DRONE_BUILD_NUMBER --branch $DRONE_BRANCH --commit $DRONE_COMMIT --tag $DRONE_TAG

.github/workflows/code-formatting-check.yml → .github/workflows/code-formatting.yml

@@ -1,5 +1,13 @@
-name: "Check Formatting"
-on: [push, pull_request]
+name: "Check Formatting - Black"
+on:
+  # Trigger the workflow on push or pull request,
+  # but only for the master branch
+  push:
+    branches:
+      - master
+  pull_request:
+    branches:
+      - master
 
 jobs:
   check_code_formatting:

CHANGELOG.md

@@ -52,7 +52,12 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 ### Removed
 
 - Removed unintended Trainer argument `progress_bar_callback`, the callback should be passed in by `Trainer(callbacks=[...])` instead ([#1855](https://github.com/PyTorchLightning/pytorch-lightning/pull/1855))
-- Remove obsolete `self._device` in Trainer ([#1849](https://github.com/PyTorchLightning/pytorch-lightning/pull/1849))
+- Removed obsolete `self._device` in Trainer ([#1849](https://github.com/PyTorchLightning/pytorch-lightning/pull/1849))
+- Removed deprecated API ([#2073](https://github.com/PyTorchLightning/pytorch-lightning/pull/2073))
+   * Packages: `pytorch_lightning.pt_overrides`, `pytorch_lightning.root_module`
+   * Modules: `pytorch_lightning.logging.comet_logger`, `pytorch_lightning.logging.mlflow_logger`, `pytorch_lightning.logging.test_tube_logger`, `pytorch_lightning.overrides.override_data_parallel`, `pytorch_lightning.core.model_saving`, `pytorch_lightning.core.root_module`
+   * Trainer arguments: `add_row_log_interval`, `default_save_path`, `gradient_clip`, `nb_gpu_nodes`, `max_nb_epochs`, `min_nb_epochs`, `nb_sanity_val_steps`
+   * Trainer attributes: `nb_gpu_nodes`, `num_gpu_nodes`, `gradient_clip`, `max_nb_epochs`, `min_nb_epochs`, `nb_sanity_val_steps`, `default_save_path`, `tng_tqdm_dic`
 
 ### Fixed
 
@@ -101,6 +106,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 ### Deprecated
 
 - Deprecated `tags_csv` in favor of `hparams_file` ([#1271](https://github.com/PyTorchLightning/pytorch-lightning/pull/1271))
+- Deprecated `amp_level` in favor of native AMP ([#1561](https://github.com/PyTorchLightning/pytorch-lightning/pull/1561))
 
 ### Fixed
 

docs/source/conf.py

@@ -141,13 +141,7 @@
     'api/modules.rst',
 
     # deprecated/renamed:
-    'api/pytorch_lightning.loggers.comet_logger.rst',           # TODO: remove in v0.8.0
-    'api/pytorch_lightning.loggers.mlflow_logger.rst',          # TODO: remove in v0.8.0
-    'api/pytorch_lightning.loggers.test_tube_logger.rst',       # TODO: remove in v0.8.0
-    'api/pytorch_lightning.callbacks.pt_callbacks.*',           # TODO: remove in v0.8.0
-    'api/pytorch_lightning.pt_overrides.*',                     # TODO: remove in v0.8.0
-    'api/pytorch_lightning.root_module.*',                      # TODO: remove in v0.8.0
-    'api/pytorch_lightning.logging.*',                          # TODO: remove in v0.8.0
+    'api/pytorch_lightning.logging.*',  # TODO: remove in v0.9.0
 ]
 
 # The name of the Pygments (syntax highlighting) style to use.

docs/source/weights_loading.rst

@@ -31,7 +31,7 @@ To change the checkpoint path pass in:
 
 .. testcode::
 
-    trainer = Trainer(default_save_path='/your/path/to/save/checkpoints')
+    trainer = Trainer(default_root_dir='/your/path/to/save/checkpoints')
 
 To modify the behavior of checkpointing pass in your own callback.
 

pytorch_lightning/core/hooks.py

@@ -149,11 +149,6 @@ def backward(self, use_amp, loss, optimizer):
 
             if self.trainer.use_native_amp:
                 self.trainer.scaler.scale(loss).backward()
-
-            # TODO: remove in v0.8.0
-            else:
-                with amp.scale_loss(loss, optimizer) as scaled_loss:
-                    scaled_loss.backward()
         else:
             loss.backward()
 

pytorch_lightning/trainer/__init__.py

@@ -428,13 +428,6 @@ def on_train_end(self, trainer, pl_module):
     # default used by the Trainer
     trainer = Trainer(gradient_clip_val=0.0)
 
-
-gradient_clip:
-
-.. warning:: .. deprecated:: 0.5.0
-
-    Use `gradient_clip_val` instead. Will remove 0.8.0.
-
 log_gpu_memory
 ^^^^^^^^^^^^^^
 Options:
@@ -495,12 +488,6 @@ def on_train_end(self, trainer, pl_module):
     # default used by the Trainer
     trainer = Trainer(max_epochs=1000)
 
-max_nb_epochs:
-
-.. warning:: .. deprecated:: 0.5.0
-
-    Use `max_epochs` instead. Will remove 0.8.0.
-
 min_epochs
 ^^^^^^^^^^
 Force training for at least these many epochs
@@ -510,11 +497,6 @@ def on_train_end(self, trainer, pl_module):
     # default used by the Trainer
     trainer = Trainer(min_epochs=1)
 
-min_nb_epochs:
-
-.. warning:: deprecated:: 0.5.0
-    Use `min_epochs` instead. Will remove 0.8.0.
-
 max_steps
 ^^^^^^^^^
 Stop training after this number of steps
@@ -559,12 +541,6 @@ def on_train_end(self, trainer, pl_module):
     # to train on 8 nodes
     trainer = Trainer(num_nodes=8)
 
-nb_gpu_nodes:
-
-.. warning:: .. deprecated:: 0.5.0
-
-    Use `num_nodes` instead. Will remove 0.8.0.
-
 num_processes
 ^^^^^^^^^^^^^
 
@@ -595,12 +571,6 @@ def on_train_end(self, trainer, pl_module):
     # turn it off
     trainer = Trainer(num_sanity_val_steps=0)
 
-nb_sanity_val_steps:
-
-.. warning:: .. deprecated:: 0.5.0
-
-    Use `num_sanity_val_steps` instead. Will remove 0.8.0.
-
 num_tpu_cores
 ^^^^^^^^^^^^^
 .. warning:: .. deprecated:: 0.7.6
@@ -825,13 +795,6 @@ def on_train_end(self, trainer, pl_module):
     # default used by the Trainer
     trainer = Trainer(row_log_interval=10)
 
-
-add_row_log_interval:
-
-.. warning:: .. deprecated:: 0.5.0
-
-    Use `row_log_interval` instead. Will remove 0.8.0.
-
 use_amp:
 
 .. warning:: .. deprecated:: 0.7.0

pytorch_lightning/trainer/auto_mix_precision.py

@@ -20,11 +20,10 @@ class TrainerAMPMixin(ABC):
     use_native_amp: bool
 
     def init_amp(self, use_amp):
-        # TODO: remove in v 0.8.0
+        # TODO: remove in v 0.9.0
         if self.use_native_amp:
-            rank_zero_warn("`amp_level` has been deprecated since v0.7.4 "
-                           "(native amp does not require it)"
-                           " and this argument will be removed in v0.8.0", DeprecationWarning)
+            rank_zero_warn("`amp_level` has been deprecated since v0.7.4 (native amp does not require it)"
+                           " and this argument will be removed in v0.9.0", DeprecationWarning)
 
         # Backward compatibility, TODO: remove in v0.9.0
         if use_amp is not None:
@@ -38,13 +37,12 @@ def init_amp(self, use_amp):
             log.info('Using 16bit precision.')
             return
 
-        # TODO: remove all below for v0.8.0
+        # TODO: remove all below for v0.9.0
         if use_amp and not APEX_AVAILABLE:  # pragma: no-cover
             raise ModuleNotFoundError("""
             You set `use_amp=True` but do not have apex installed.
             Install apex first using this guide and rerun with use_amp=True:
             https://github.com/NVIDIA/apex#linux
-
             this run will NOT use 16 bit precision
             """)