Restructure FastAI examples

examples/frameworks/fastai-v1/fastai_example/requirements.txt

@@ -1,2 +0,0 @@
-fastai < 2.0.0
-clearml

examples/frameworks/fastai-v2/fastai_example/requirements.txt

@@ -1,2 +0,0 @@
-fastai >= 2.0.0
-clearml

examples/frameworks/fastai/fastai_with_tensorboard.py

@@ -1,25 +0,0 @@
-# ClearML - Fastai with Tensorboard example code, automatic logging the model and Tensorboard outputs
-#
-
-from fastai.callbacks.tensorboard import LearnerTensorboardWriter
-from fastai.vision import *  # Quick access to computer vision functionality
-
-from clearml import Task
-
-# Connecting ClearML with the current process,
-# from here on everything is logged automatically
-task = Task.init(project_name="examples", task_name="Fastai with TensorBoard callback")
-
-path = untar_data(URLs.MNIST_SAMPLE)
-
-data = ImageDataBunch.from_folder(path, ds_tfms=(rand_pad(2, 28), []), bs=64)
-data.normalize(imagenet_stats)
-
-learn = cnn_learner(data, models.resnet18, metrics=accuracy)
-tboard_path = Path("data/tensorboard/project1")
-learn.callback_fns.append(
-    partial(LearnerTensorboardWriter, base_dir=tboard_path, name="run0")
-)
-
-accuracy(*learn.get_preds())
-learn.fit_one_cycle(6, 0.01)