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