implement workaround for cuda toolkit build difference of torch and torchvision in CI that was resulting in a segfault triggered by sentencepiece upon pytorch_lightning import

Author: speediedan

lightning_examples/finetuning-scheduler/.meta.yml

@@ -3,7 +3,7 @@ author: "[Dan Dale](https://github.com/speediedan)"
 created: 2021-11-29
 updated: 2022-03-29
 license: CC BY-SA
-build: 1
+build: 2
 tags:
   - finetuning
 description: |

lightning_examples/finetuning-scheduler/finetuning-scheduler.py

@@ -1,15 +1,3 @@
-# ---
-# jupyter:
-#   jupytext:
-#     cell_metadata_filter: -all
-#     formats: ipynb,py:percent
-#     text_representation:
-#       extension: .py
-#       format_name: percent
-#       format_version: '1.3'
-#       jupytext_version: 1.13.8
-# ---
-
 # %% [markdown]
 # ## Scheduled Finetuning
 #
@@ -176,6 +164,9 @@
 
 import datasets
 import pytorch_lightning as pl
+
+# temporary workaround until implementation of https://github.com/PyTorchLightning/lightning-tutorials/pull/155
+import sentencepiece as sp  # noqa:F401
 import torch
 from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
 from pytorch_lightning.loggers.tensorboard import TensorBoardLogger