move show_progress_bar to deprecated 0.9 api

Author: gbkh2015

pytorch_lightning/trainer/deprecated_api.py

@@ -87,3 +87,23 @@ def nb_sanity_val_steps(self, nb):
                       "`num_sanity_val_steps` since v0.5.0"
                       " and this method will be removed in v0.8.0", DeprecationWarning)
         self.num_sanity_val_steps = nb
+
+
+class TrainerDeprecatedAPITillVer0_9(ABC):
+
+    def __init__(self):
+        super().__init__()  # mixin calls super too
+
+    @property
+    def show_progress_bar(self):
+        """Back compatibility, will be removed in v0.9.0"""
+        warnings.warn("Argument `show_progress_bar` is now set by `progress_bar_refresh_rate` since v0.7.2"
+                      " and this method will be removed in v0.9.0", DeprecationWarning)
+        return self.progress_bar_refresh_rate >= 1
+
+    @show_progress_bar.setter
+    def show_progress_bar(self, tf):
+        """Back compatibility, will be removed in v0.9.0"""
+        warnings.warn("Argument `show_progress_bar` is now set by `progress_bar_refresh_rate` since v0.7.2"
+                      " and this method will be removed in v0.9.0", DeprecationWarning)
+        self.show_progress_bar = tf

pytorch_lightning/trainer/evaluation_loop.py

@@ -278,7 +278,7 @@ def evaluate(self, model: LightningModule, dataloaders, max_batches: int, test_m
                 dl_outputs.append(output)
 
                 # batch done
-                if self.show_progress_bar and batch_idx % self.progress_bar_refresh_rate == 0:
+                if self.progress_bar_refresh_rate >= 1 and batch_idx % self.progress_bar_refresh_rate == 0:
                     if test_mode:
                         self.test_progress_bar.update(self.progress_bar_refresh_rate)
                     else:

pytorch_lightning/trainer/trainer.py

@@ -24,7 +24,8 @@
 from pytorch_lightning.trainer.callback_config import TrainerCallbackConfigMixin
 from pytorch_lightning.trainer.callback_hook import TrainerCallbackHookMixin
 from pytorch_lightning.trainer.data_loading import TrainerDataLoadingMixin
-from pytorch_lightning.trainer.deprecated_api import TrainerDeprecatedAPITillVer0_8
+from pytorch_lightning.trainer.deprecated_api import (TrainerDeprecatedAPITillVer0_8,
+                                                      TrainerDeprecatedAPITillVer0_9)
 from pytorch_lightning.trainer.distrib_data_parallel import TrainerDDPMixin
 from pytorch_lightning.trainer.distrib_parts import TrainerDPMixin, parse_gpu_ids, determine_root_gpu_device
 from pytorch_lightning.trainer.evaluation_loop import TrainerEvaluationLoopMixin
@@ -66,12 +67,13 @@ class Trainer(
     TrainerCallbackConfigMixin,
     TrainerCallbackHookMixin,
     TrainerDeprecatedAPITillVer0_8,
+    TrainerDeprecatedAPITillVer0_9,
 ):
     DEPRECATED_IN_0_8 = (
         'gradient_clip', 'nb_gpu_nodes', 'max_nb_epochs', 'min_nb_epochs',
         'add_row_log_interval', 'nb_sanity_val_steps'
     )
-    DEPRECATED_IN_0_9 = ('use_amp',)
+    DEPRECATED_IN_0_9 = ('use_amp', 'show_progress_bar')
 
     def __init__(
             self,
@@ -88,7 +90,7 @@ def __init__(
             gpus: Optional[Union[List[int], str, int]] = None,
             num_tpu_cores: Optional[int] = None,
             log_gpu_memory: Optional[str] = None,
-            show_progress_bar=None,  # backward compatible, todo: remove in v0.8.0
+            show_progress_bar=None,  # backward compatible, todo: remove in v0.9.0
             progress_bar_refresh_rate: int = 1,
             overfit_pct: float = 0.0,
             track_grad_norm: int = -1,
@@ -416,12 +418,11 @@ def __init__(
         # nvidia setup
         self.set_nvidia_flags(self.is_slurm_managing_tasks, self.data_parallel_device_ids)
 
-        # Backward compatibility, TODO: remove in v0.8.0
-        if show_progress_bar is not None:
-            warnings.warn("Argument `show_progress_bar` is now set by `progress_bar_refresh_rate` since v0.7.1"
-                          " and this method will be removed in v0.8.0", DeprecationWarning)
         # can't init progress bar here because starting a new process
         # means the progress_bar won't survive pickling
+        # backward compatibility
+        if show_progress_bar is not None:
+            self.show_progress_bar = show_progress_bar
 
         # logging
         self.log_save_interval = log_save_interval
@@ -567,10 +568,6 @@ def from_argparse_args(cls, args):
         params = vars(args)
         return cls(**params)
 
-    @property
-    def show_progress_bar(self) -> bool:
-        return self.progress_bar_refresh_rate >= 1
-
     @property
     def num_gpus(self) -> int:
         gpus = self.data_parallel_device_ids

pytorch_lightning/trainer/training_loop.py

@@ -606,7 +606,7 @@ def optimizer_closure():
                 self.get_model().on_batch_end()
 
         # update progress bar
-        if self.show_progress_bar and batch_idx % self.progress_bar_refresh_rate == 0:
+        if self.progress_bar_refresh_rate >= 1 and batch_idx % self.progress_bar_refresh_rate == 0:
             self.main_progress_bar.update(self.progress_bar_refresh_rate)
             self.main_progress_bar.set_postfix(**self.training_tqdm_dict)