diff --git a/docs/source/conf.py b/docs/source/conf.py
index fd872a196a..d0670254b1 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -141,9 +141,6 @@ exclude_patterns = [
     'api/pytorch_lightning.accelerator_backends.*',
     'api/modules.rst',
     'PULL_REQUEST_TEMPLATE.md',
-
-    # deprecated/renamed:
-    'api/pytorch_lightning.logging.*',  # TODO: remove in v0.9.0
 ]
 
 # The name of the Pygments (syntax highlighting) style to use.
diff --git a/pl_examples/domain_templates/computer_vision_fine_tuning.py b/pl_examples/domain_templates/computer_vision_fine_tuning.py
index 973c9f09c5..7ebcbf0b7d 100644
--- a/pl_examples/domain_templates/computer_vision_fine_tuning.py
+++ b/pl_examples/domain_templates/computer_vision_fine_tuning.py
@@ -429,7 +429,7 @@ def main(args: argparse.Namespace) -> None:
 
         trainer = pl.Trainer(
             weights_summary=None,
-            show_progress_bar=True,
+            progress_bar_refresh_rate=1,
             num_sanity_val_steps=0,
             gpus=args.gpus,
             min_epochs=args.nb_epochs,
diff --git a/pytorch_lightning/__init__.py b/pytorch_lightning/__init__.py
index 5adda395c8..220775f9b3 100644
--- a/pytorch_lightning/__init__.py
+++ b/pytorch_lightning/__init__.py
@@ -53,7 +53,7 @@ if __LIGHTNING_SETUP__:
     sys.stdout.write(f'Partial import of `{__name__}` during the build process.\n')  # pragma: no-cover
     # We are not importing the rest of the lightning during the build process, as it may not be compiled yet
 else:
-    from pytorch_lightning.core import LightningDataModule, LightningModule, data_loader
+    from pytorch_lightning.core import LightningDataModule, LightningModule
     from pytorch_lightning.core.step_result import TrainResult, EvalResult
     from pytorch_lightning.callbacks import Callback
     from pytorch_lightning.trainer import Trainer
@@ -65,7 +65,6 @@ else:
         'LightningDataModule',
         'LightningModule',
         'Callback',
-        'data_loader',
         'seed_everything',
         'metrics',
         'EvalResult',
diff --git a/pytorch_lightning/core/__init__.py b/pytorch_lightning/core/__init__.py
index 43861ad6dd..cbb9684487 100644
--- a/pytorch_lightning/core/__init__.py
+++ b/pytorch_lightning/core/__init__.py
@@ -302,12 +302,10 @@ LightningModule Class
 """
 
 from pytorch_lightning.core.datamodule import LightningDataModule
-from pytorch_lightning.core.decorators import data_loader
 from pytorch_lightning.core.lightning import LightningModule
 
 __all__ = [
     'LightningDataModule',
     'LightningModule',
-    'data_loader',
 ]
 # __call__ = __all__
diff --git a/pytorch_lightning/core/decorators.py b/pytorch_lightning/core/decorators.py
index 6023de27d8..97eba56ea2 100644
--- a/pytorch_lightning/core/decorators.py
+++ b/pytorch_lightning/core/decorators.py
@@ -2,20 +2,6 @@ from functools import wraps
 from typing import Callable
 
 from pytorch_lightning.core.lightning import LightningModule
-from pytorch_lightning.utilities import rank_zero_warn
-
-
-def data_loader(fn):
-    """Decorator to make any fx with this use the lazy property.
-
-    Warnings:
-        This decorator deprecated in v0.7.0 and it will be removed v0.9.0.
-    """
-    rank_zero_warn("`data_loader` decorator deprecated in v0.7.0. It will be removed in v0.9.0", DeprecationWarning)
-
-    def inner_fx(self):
-        return fn(self)
-    return inner_fx
 
 
 def auto_move_data(fn: Callable) -> Callable:
diff --git a/pytorch_lightning/core/hooks.py b/pytorch_lightning/core/hooks.py
index aa4e274298..8c6b726ac3 100644
--- a/pytorch_lightning/core/hooks.py
+++ b/pytorch_lightning/core/hooks.py
@@ -65,15 +65,6 @@ class ModelHooks(Module):
         If on DDP it is called on every process
         """
 
-    # TODO: remove in v0.9.0
-    def on_sanity_check_start(self):
-        """
-        Called before starting evaluation.
-
-        Warning:
-            Deprecated. Will be removed in v0.9.0.
-        """
-
     def on_train_start(self) -> None:
         """
         Called at the beginning of training before sanity check.
diff --git a/pytorch_lightning/core/saving.py b/pytorch_lightning/core/saving.py
index 717810ce69..5e3ef1d972 100644
--- a/pytorch_lightning/core/saving.py
+++ b/pytorch_lightning/core/saving.py
@@ -31,19 +31,6 @@ class ModelIO(object):
     CHECKPOINT_HYPER_PARAMS_NAME = 'hparams_name'
     CHECKPOINT_HYPER_PARAMS_TYPE = 'hparams_type'
 
-    @classmethod
-    def load_from_metrics(cls, weights_path, tags_csv, map_location=None):
-        r"""
-        Warning:
-            Deprecated in version 0.7.0. You should use :meth:`load_from_checkpoint` instead.
-            Will be removed in v0.9.0.
-        """
-        rank_zero_warn(
-            "`load_from_metrics` method has been unified with `load_from_checkpoint` in v0.7.0."
-            " The deprecated method will be removed in v0.9.0.", DeprecationWarning
-        )
-        return cls.load_from_checkpoint(weights_path, tags_csv=tags_csv, map_location=map_location)
-
     @classmethod
     def load_from_checkpoint(
             cls,
@@ -51,7 +38,6 @@ class ModelIO(object):
             *args,
             map_location: Optional[Union[Dict[str, str], str, torch.device, int, Callable]] = None,
             hparams_file: Optional[str] = None,
-            tags_csv: Optional[str] = None,  # backward compatible, todo: remove in v0.9.0
             **kwargs
     ):
         r"""
@@ -84,21 +70,6 @@ class ModelIO(object):
                 If your model's `hparams` argument is :class:`~argparse.Namespace`
                 and .yaml file has hierarchical structure, you need to refactor your model to treat
                 `hparams` as :class:`~dict`.
-
-                .csv files are acceptable here till v0.9.0, see tags_csv argument for detailed usage.
-            tags_csv:
-                .. warning:: .. deprecated:: 0.7.6
-
-                    `tags_csv` argument is deprecated in v0.7.6. Will be removed v0.9.0.
-
-                Optional path to a .csv file with two columns (key, value)
-                as in this example::
-
-                    key,value
-                    drop_prob,0.2
-                    batch_size,32
-
-                Use this method to pass in a .csv file with the hparams you'd like to use.
             hparam_overrides: A dictionary with keys to override in the hparams
             kwargs: Any keyword args needed to init the model.
 
@@ -141,11 +112,6 @@ class ModelIO(object):
         else:
             checkpoint = pl_load(checkpoint_path, map_location=lambda storage, loc: storage)
 
-        # add the hparams from csv file to checkpoint
-        if tags_csv is not None:
-            hparams_file = tags_csv
-            rank_zero_warn('`tags_csv` argument is deprecated in v0.7.6. Will be removed v0.9.0', DeprecationWarning)
-
         if hparams_file is not None:
             extension = hparams_file.split('.')[-1]
             if extension.lower() in ('csv'):
diff --git a/pytorch_lightning/logging/__init__.py b/pytorch_lightning/logging/__init__.py
deleted file mode 100644
index 07416ad89e..0000000000
--- a/pytorch_lightning/logging/__init__.py
+++ /dev/null
@@ -1,11 +0,0 @@
-"""
-.. warning:: `logging` package has been renamed to `loggers` since v0.7.0.
- The deprecated package name will be removed in v0.9.0.
-"""
-
-from pytorch_lightning.utilities import rank_zero_warn
-
-rank_zero_warn("`logging` package has been renamed to `loggers` since v0.7.0"
-               " The deprecated package name will be removed in v0.9.0.", DeprecationWarning)
-
-from pytorch_lightning.loggers import *  # noqa: F403 E402
diff --git a/pytorch_lightning/logging/comet.py b/pytorch_lightning/logging/comet.py
deleted file mode 100644
index 5bce210eff..0000000000
--- a/pytorch_lightning/logging/comet.py
+++ /dev/null
@@ -1,10 +0,0 @@
-"""
-.. warning:: `logging` package has been renamed to `loggers` since v0.7.0 and will be removed in v0.9.0
-"""
-
-from pytorch_lightning.utilities import rank_zero_warn
-
-rank_zero_warn("`logging.comet` module has been renamed to `loggers.comet` since v0.7.0."
-               " The deprecated module name will be removed in v0.9.0.", DeprecationWarning)
-
-from pytorch_lightning.loggers.comet import CometLogger  # noqa: F403 E402
diff --git a/pytorch_lightning/logging/mlflow.py b/pytorch_lightning/logging/mlflow.py
deleted file mode 100644
index dea954b1fb..0000000000
--- a/pytorch_lightning/logging/mlflow.py
+++ /dev/null
@@ -1,10 +0,0 @@
-"""
-.. warning:: `logging` package has been renamed to `loggers` since v0.7.0 and will be removed in v0.9.0
-"""
-
-from pytorch_lightning.utilities import rank_zero_warn
-
-rank_zero_warn("`logging.mlflow` module has been renamed to `loggers.mlflow` since v0.7.0."
-               " The deprecated module name will be removed in v0.9.0.", DeprecationWarning)
-
-from pytorch_lightning.loggers.mlflow import MLFlowLogger  # noqa: F403 E402
diff --git a/pytorch_lightning/logging/neptune.py b/pytorch_lightning/logging/neptune.py
deleted file mode 100644
index 19079b686f..0000000000
--- a/pytorch_lightning/logging/neptune.py
+++ /dev/null
@@ -1,10 +0,0 @@
-"""
-.. warning:: `logging` package has been renamed to `loggers` since v0.7.0 and will be removed in v0.9.0
-"""
-
-from pytorch_lightning.utilities import rank_zero_warn
-
-rank_zero_warn("`logging.neptune` module has been renamed to `loggers.neptune` since v0.7.0."
-               " The deprecated module name will be removed in v0.9.0.", DeprecationWarning)
-
-from pytorch_lightning.loggers.neptune import NeptuneLogger  # noqa: F403 E402
diff --git a/pytorch_lightning/logging/test_tube.py b/pytorch_lightning/logging/test_tube.py
deleted file mode 100644
index 2fa566917b..0000000000
--- a/pytorch_lightning/logging/test_tube.py
+++ /dev/null
@@ -1,10 +0,0 @@
-"""
-.. warning:: `logging` package has been renamed to `loggers` since v0.7.0 and will be removed in v0.9.0
-"""
-
-from pytorch_lightning.utilities import rank_zero_warn
-
-rank_zero_warn("`logging.test_tube` module has been renamed to `loggers.test_tube` since v0.7.0."
-               " The deprecated module name will be removed in v0.9.0.", DeprecationWarning)
-
-from pytorch_lightning.loggers.test_tube import TestTubeLogger  # noqa: F403 E402
diff --git a/pytorch_lightning/logging/wandb.py b/pytorch_lightning/logging/wandb.py
deleted file mode 100644
index a10c0af4bc..0000000000
--- a/pytorch_lightning/logging/wandb.py
+++ /dev/null
@@ -1,10 +0,0 @@
-"""
-.. warning:: `logging` package has been renamed to `loggers` since v0.7.0 and will be removed in v0.9.0
-"""
-
-from pytorch_lightning.utilities import rank_zero_warn
-
-rank_zero_warn("`logging.wandb` module has been renamed to `loggers.wandb` since v0.7.0."
-               " The deprecated module name will be removed in v0.9.0.", DeprecationWarning)
-
-from pytorch_lightning.loggers.wandb import WandbLogger  # noqa: F403 E402
diff --git a/pytorch_lightning/trainer/__init__.py b/pytorch_lightning/trainer/__init__.py
index 15fe2f23d3..188e9cf8de 100644
--- a/pytorch_lightning/trainer/__init__.py
+++ b/pytorch_lightning/trainer/__init__.py
@@ -616,12 +616,6 @@ The Trainer uses 2 steps by default. Turn it off or modify it here.
     # check all validation data
     trainer = Trainer(num_sanity_val_steps=-1)
 
-num_tpu_cores
-^^^^^^^^^^^^^
-.. warning:: .. deprecated:: 0.7.6
-
-    Use `tpu_cores` instead. Will remove 0.9.0.
-
 Example::
 
     python -m torch_xla.distributed.xla_dist
@@ -737,15 +731,6 @@ Example::
     # one day
     trainer = Trainer(precision=8|4|2)
 
-print_nan_grads
-^^^^^^^^^^^^^^^
-
-.. warning:: .. deprecated:: 0.7.2.
-
-    Has no effect. When detected, NaN grads will be printed automatically.
-    Will remove 0.9.0.
-
-
 process_position
 ^^^^^^^^^^^^^^^^
 Orders the progress bar. Useful when running multiple trainers on the same node.
@@ -853,18 +838,6 @@ How often to add logging rows (does not write to disk)
     # default used by the Trainer
     trainer = Trainer(row_log_interval=50)
 
-use_amp:
-
-.. warning:: .. deprecated:: 0.7.0
-
-    Use `precision` instead. Will remove 0.9.0.
-
-show_progress_bar
-^^^^^^^^^^^^^^^^^
-
-.. warning:: .. deprecated:: 0.7.2
-
-    Set `progress_bar_refresh_rate` to 0 instead. Will remove 0.9.0.
 
 val_percent_check
 ^^^^^^^^^^^^^^^^^
diff --git a/pytorch_lightning/trainer/auto_mix_precision.py b/pytorch_lightning/trainer/auto_mix_precision.py
index 69931f0d1d..570bcc3aaf 100644
--- a/pytorch_lightning/trainer/auto_mix_precision.py
+++ b/pytorch_lightning/trainer/auto_mix_precision.py
@@ -21,7 +21,6 @@ class TrainerAMPMixin(ABC):
             log.info('Using native 16bit precision.')
             return
 
-        # TODO: replace `use_amp` by `precision` all below for v0.9.0
         if self.use_amp and not APEX_AVAILABLE:  # pragma: no-cover
             raise ModuleNotFoundError(
                 "You set `use_amp=True` but do not have apex installed."
diff --git a/pytorch_lightning/trainer/deprecated_api.py b/pytorch_lightning/trainer/deprecated_api.py
index f38ff6a486..60ef69ce14 100644
--- a/pytorch_lightning/trainer/deprecated_api.py
+++ b/pytorch_lightning/trainer/deprecated_api.py
@@ -6,40 +6,6 @@ from typing import Union
 from pytorch_lightning.utilities import rank_zero_warn
 
 
-class TrainerDeprecatedAPITillVer0_9(ABC):
-    progress_bar_dict: ...
-    progress_bar_callback: ...
-
-    def __init__(self):
-        super().__init__()  # mixin calls super too
-
-    @property
-    def show_progress_bar(self):
-        """Back compatibility, will be removed in v0.9.0"""
-        rank_zero_warn("Attribute `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_callback and self.progress_bar_callback.refresh_rate >= 1
-
-    @show_progress_bar.setter
-    def show_progress_bar(self, tf):
-        """Back compatibility, will be removed in v0.9.0"""
-        rank_zero_warn("Attribute `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)
-
-    @property
-    def training_tqdm_dict(self):
-        """Back compatibility, will be removed in v0.9.0"""
-        rank_zero_warn("`training_tqdm_dict` was renamed to `progress_bar_dict` in v0.7.3"
-                       " and this method will be removed in v0.9.0", DeprecationWarning)
-        return self.progress_bar_dict
-
-    @property
-    def num_tpu_cores(self):
-        """Back compatibility, will be removed in v0.9.0"""
-        rank_zero_warn("Attribute `num_tpu_cores` is now set by `tpu_cores` since v0.7.6"
-                       " and this argument will be removed in v0.9.0", DeprecationWarning)
-
-
 class TrainerDeprecatedAPITillVer0_10(ABC):
     limit_val_batches: Union[int, float]
     limit_test_batches: Union[int, float]
diff --git a/pytorch_lightning/trainer/lr_finder.py b/pytorch_lightning/trainer/lr_finder.py
index 19ba13f588..db6863a60c 100755
--- a/pytorch_lightning/trainer/lr_finder.py
+++ b/pytorch_lightning/trainer/lr_finder.py
@@ -137,12 +137,6 @@ class TrainerLRFinderMixin(ABC):
             trainer.fit(model)
 
         """
-        if num_accumulation_steps is not None:
-            rank_zero_warn("Argument `num_accumulation_steps` has been deprepecated"
-                           " since v0.7.6 and will be removed in 0.9. Please"
-                           " set trainer argument `accumulate_grad_batches` instead.",
-                           DeprecationWarning)
-
         save_path = os.path.join(self.default_root_dir, 'lr_find_temp.ckpt')
 
         self.__lr_finder_dump_params(model)
diff --git a/pytorch_lightning/trainer/trainer.py b/pytorch_lightning/trainer/trainer.py
index a2181c0bca..0a4c9c349f 100644
--- a/pytorch_lightning/trainer/trainer.py
+++ b/pytorch_lightning/trainer/trainer.py
@@ -34,7 +34,7 @@ from pytorch_lightning.trainer.auto_mix_precision import NATIVE_AMP_AVALAIBLE, T
 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_9, TrainerDeprecatedAPITillVer0_10
+from pytorch_lightning.trainer.deprecated_api import TrainerDeprecatedAPITillVer0_10
 from pytorch_lightning.trainer.distrib_data_parallel import TrainerDDPMixin
 from pytorch_lightning.trainer.distrib_parts import (TrainerDPMixin, _parse_gpu_ids, _parse_tpu_cores,
                                                      determine_root_gpu_device, pick_multiple_gpus)
@@ -98,7 +98,6 @@ class Trainer(
     TrainerTrainLoopMixin,
     TrainerCallbackConfigMixin,
     TrainerLRFinderMixin,
-    TrainerDeprecatedAPITillVer0_9,
     TrainerDeprecatedAPITillVer0_10,
 ):
     """
@@ -153,8 +152,6 @@ class Trainer(
         25
     """
 
-    DEPRECATED_IN_0_9 = ('use_amp', 'show_progress_bar', 'training_tqdm_dict', 'num_tpu_cores')
-
     def __init__(
         self,
         logger: Union[LightningLoggerBase, Iterable[LightningLoggerBase], bool] = True,
@@ -188,7 +185,6 @@ class Trainer(
         row_log_interval: int = 50,
         distributed_backend: Optional[str] = None,
         precision: int = 32,
-        print_nan_grads: bool = False,  # backward compatible, todo: remove in v0.9.0
         weights_summary: Optional[str] = ModelSummary.MODE_DEFAULT,
         weights_save_path: Optional[str] = None,
         num_sanity_val_steps: int = 2,
@@ -204,9 +200,6 @@ class Trainer(
         auto_scale_batch_size: Union[str, bool] = False,
         prepare_data_per_node: bool = True,
         amp_level: str = 'O2',  # backward compatible, todo: remove in v1.0.0
-        num_tpu_cores: Optional[int] = None,  # backward compatible, todo: remove in v0.9.0
-        use_amp=None,  # backward compatible, todo: remove in v0.9.0
-        show_progress_bar=None,  # backward compatible, todo: remove in v0.9.0
         val_percent_check: float = None,  # backward compatible, todo: remove in v0.10.0
         test_percent_check: float = None,  # backward compatible, todo: remove in v0.10.0
         train_percent_check: float = None,  # backward compatible, todo: remove in v0.10.0
@@ -230,20 +223,10 @@ class Trainer(
 
             gradient_clip_val: 0 means don't clip.
 
-            gradient_clip:
-                .. warning:: .. deprecated:: 0.7.0
-
-                    Use `gradient_clip_val` instead. Will remove 0.9.0.
-
             process_position: orders the progress bar when running multiple models on same machine.
 
             num_nodes: number of GPU nodes for distributed training.
 
-            nb_gpu_nodes:
-                .. warning:: .. deprecated:: 0.7.0
-
-                    Use `num_nodes` instead. Will remove 0.9.0.
-
             gpus: Which GPUs to train on.
 
             auto_select_gpus:
@@ -255,16 +238,8 @@ class Trainer(
 
             tpu_cores: How many TPU cores to train on (1 or 8) / Single TPU to train on [1]
 
-            num_tpu_cores: How many TPU cores to train on (1 or 8)
-                .. warning:: .. deprecated:: 0.7.6. Will remove 0.9.0.
-
             log_gpu_memory: None, 'min_max', 'all'. Might slow performance
 
-            show_progress_bar:
-                .. warning:: .. deprecated:: 0.7.2
-
-                        Set `progress_bar_refresh_rate` to positive integer to enable. Will remove 0.9.0.
-
             progress_bar_refresh_rate: How often to refresh progress bar (in steps). Value ``0`` disables progress bar.
                 Ignored when a custom callback is passed to :paramref:`~Trainer.callbacks`.
 
@@ -285,18 +260,8 @@ class Trainer(
 
             max_epochs: Stop training once this number of epochs is reached.
 
-            max_nb_epochs:
-                .. warning:: .. deprecated:: 0.7.0
-
-                    Use `max_epochs` instead. Will remove 0.9.0.
-
             min_epochs: Force training for at least these many epochs
 
-            min_nb_epochs:
-                .. warning:: .. deprecated:: 0.7.0
-
-                    Use `min_epochs` instead. Will remove 0.9.0.
-
             max_steps: Stop training after this number of steps. Disabled by default (None).
 
             min_steps: Force training for at least these number of steps. Disabled by default (None).
@@ -328,26 +293,10 @@ class Trainer(
 
             row_log_interval: How often to add logging rows (does not write to disk)
 
-            add_row_log_interval:
-                .. warning:: .. deprecated:: 0.7.0
-
-                    Use `row_log_interval` instead. Will remove 0.9.0.
-
             distributed_backend: The distributed backend to use (dp, ddp, ddp2, ddp_spawn, ddp_cpu)
 
-            use_amp:
-                .. warning:: .. deprecated:: 0.7.0
-
-                    Use `precision` instead. Will remove 0.9.0.
-
             precision: Full precision (32), half precision (16).
 
-            print_nan_grads:
-                .. warning:: .. deprecated:: 0.7.2
-
-                    Has no effect. When detected, NaN grads will be printed automatically.
-                    Will remove 0.9.0.
-
             weights_summary: Prints a summary of the weights when training begins.
 
             weights_save_path: Where to save weights if specified. Will override default_root_dir
@@ -480,16 +429,6 @@ class Trainer(
             raise MisconfigurationException("track_grad_norm can be an int, a float or 'inf' (infinity norm).")
         self.track_grad_norm = float(track_grad_norm)
 
-        # tpu config
-        if num_tpu_cores is not None:
-            rank_zero_warn(
-                "Argument `num_tpu_cores` is now set by `tpu_cores` since v0.7.6"
-                " and this argument will be removed in v0.9.0",
-                DeprecationWarning,
-            )
-
-        if tpu_cores is None:
-            tpu_cores = num_tpu_cores
         self.tpu_cores = _parse_tpu_cores(tpu_cores)
         self.on_tpu = self.tpu_cores is not None
 
@@ -511,14 +450,6 @@ class Trainer(
         else:
             self.num_sanity_val_steps = min(num_sanity_val_steps, limit_val_batches)
 
-        # Backward compatibility, TODO: remove in v0.9.0
-        if print_nan_grads:
-            rank_zero_warn(
-                "Argument `print_nan_grads` has no effect and will be removed in v0.9.0."
-                " NaN grads will be printed automatically when detected.",
-                DeprecationWarning,
-            )
-
         self.reload_dataloaders_every_epoch = reload_dataloaders_every_epoch
 
         self.auto_lr_find = auto_lr_find
@@ -587,10 +518,6 @@ class Trainer(
         # NVIDIA setup
         self.set_nvidia_flags(self.is_slurm_managing_tasks, self.data_parallel_device_ids)
 
-        # backward compatibility
-        if show_progress_bar is not None:
-            self.show_progress_bar = show_progress_bar
-
         self._progress_bar_callback = self.configure_progress_bar(progress_bar_refresh_rate, process_position)
 
         # logging
@@ -651,15 +578,6 @@ class Trainer(
         self.precision = precision
         self.scaler = None
 
-        # Backward compatibility, TODO: remove in v0.9.0
-        if use_amp is not None:
-            rank_zero_warn(
-                "Argument `use_amp` is now set by `precision` since v0.7.0"
-                " and this method will be removed in v0.9.0",
-                DeprecationWarning,
-            )
-            self.precision = 16 if use_amp else 32
-
         self.amp_level = amp_level
         self.init_amp()
 
@@ -729,7 +647,6 @@ class Trainer(
              ...
              ('precision', (<class 'int'>,), 32),
              ('prepare_data_per_node', (<class 'bool'>,), True),
-             ('print_nan_grads', (<class 'bool'>,), False),
              ('process_position', (<class 'int'>,), 0),
              ('profiler',
               (<class 'pytorch_lightning.profiler.profilers.BaseProfiler'>,
@@ -1264,7 +1181,6 @@ class Trainer(
 
             # hook and callback
             self.running_sanity_check = True
-            ref_model.on_sanity_check_start()
             self.on_sanity_check_start()
 
             num_loaders = len(self.val_dataloaders)
diff --git a/requirements/examples.txt b/requirements/examples.txt
index 24506bbba7..e126b74504 100644
--- a/requirements/examples.txt
+++ b/requirements/examples.txt
@@ -1,2 +1,2 @@
-torchvision>=0.4.0
+torchvision>=0.4.0, <0.7
 gym>=0.17.0
\ No newline at end of file
diff --git a/tests/test_deprecated.py b/tests/test_deprecated.py
index 9d4d69faa3..a34b3b3d72 100644
--- a/tests/test_deprecated.py
+++ b/tests/test_deprecated.py
@@ -55,44 +55,6 @@ def test_tbd_remove_in_v0_10_0_trainer():
         assert trainer.ckpt_path == trainer.weights_save_path == 'foo'
 
 
-def test_tbd_remove_in_v0_9_0_trainer():
-    # test show_progress_bar set by progress_bar_refresh_rate
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        trainer = Trainer(progress_bar_refresh_rate=0, show_progress_bar=True)
-    assert not getattr(trainer, 'show_progress_bar')
-
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        trainer = Trainer(progress_bar_refresh_rate=50, show_progress_bar=False)
-    assert getattr(trainer, 'show_progress_bar')
-
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        trainer = Trainer(num_tpu_cores=8)
-        assert trainer.tpu_cores == 8
-
-
-def test_tbd_remove_in_v0_9_0_module_imports():
-    _soft_unimport_module("pytorch_lightning.core.decorators")
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        from pytorch_lightning.core.decorators import data_loader  # noqa: F811
-        data_loader(print)
-
-    _soft_unimport_module("pytorch_lightning.logging.comet")
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        from pytorch_lightning.logging.comet import CometLogger  # noqa: F402
-    _soft_unimport_module("pytorch_lightning.logging.mlflow")
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        from pytorch_lightning.logging.mlflow import MLFlowLogger  # noqa: F402
-    _soft_unimport_module("pytorch_lightning.logging.neptune")
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        from pytorch_lightning.logging.neptune import NeptuneLogger  # noqa: F402
-    _soft_unimport_module("pytorch_lightning.logging.test_tube")
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        from pytorch_lightning.logging.test_tube import TestTubeLogger  # noqa: F402
-    _soft_unimport_module("pytorch_lightning.logging.wandb")
-    with pytest.deprecated_call(match='will be removed in v0.9.0'):
-        from pytorch_lightning.logging.wandb import WandbLogger  # noqa: F402
-
-
 class ModelVer0_6(EvalModelTemplate):
 
     # todo: this shall not be needed while evaluate asks for dataloader explicitly
@@ -130,7 +92,7 @@ class ModelVer0_7(EvalModelTemplate):
     def test_end(self, outputs):
         return {'test_loss': torch.tensor(0.7)}
 
-#
+
 # def test_tbd_remove_in_v1_0_0_model_hooks():
 #
 #     model = ModelVer0_6()
diff --git a/tests/trainer/test_trainer_cli.py b/tests/trainer/test_trainer_cli.py
index fd381c2513..c55c8db2ab 100644
--- a/tests/trainer/test_trainer_cli.py
+++ b/tests/trainer/test_trainer_cli.py
@@ -32,7 +32,7 @@ def test_default_args(mock_argparse, tmpdir):
 
 @pytest.mark.parametrize('cli_args', [
     ['--accumulate_grad_batches=22'],
-    ['--print_nan_grads', '--weights_save_path=./'],
+    ['--weights_save_path=./'],
     []
 ])
 def test_add_argparse_args_redefined(cli_args):