Fix reset TensorRunningAccum (#5106)

* Fix reset TensorRunningAccum

* add test for TensorRunningAccum's reset method

* fix CI failed due to PEP8

Co-authored-by: Rohit Gupta <[email protected]>

Author: VinhLoiIT

pytorch_lightning/trainer/supporters.py

@@ -50,7 +50,7 @@ def __init__(self, window_length: int):
 
     def reset(self) -> None:
         """Empty the accumulator."""
-        self = TensorRunningAccum(self.window_length)
+        self.__init__(self.window_length)
 
     def last(self):
         """Get the last added element."""

tests/trainer/test_supporters.py

@@ -0,0 +1,38 @@
+# Copyright The PyTorch Lightning team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import pytest
+import torch
+
+from pytorch_lightning.trainer.supporters import TensorRunningAccum
+
+
+def test_tensor_running_accum_reset():
+    """ Test that reset would set all attributes to the initialization state """
+
+    window_length = 10
+
+    accum = TensorRunningAccum(window_length=window_length)
+    assert accum.last() is None
+    assert accum.mean() is None
+
+    accum.append(torch.tensor(1.5))
+    assert accum.last() == torch.tensor(1.5)
+    assert accum.mean() == torch.tensor(1.5)
+
+    accum.reset()
+    assert accum.window_length == window_length
+    assert accum.memory is None
+    assert accum.current_idx == 0
+    assert accum.last_idx is None
+    assert not accum.rotated