adding framework level dp
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from .example_model import ExampleModel
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import torch.nn as nn
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import numpy as np
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from pytorch-lightning.root_module.root_module import RootModule
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from pytorch_lightning.root_module.root_module import RootModule
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from test_tube import HyperOptArgumentParser
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from torchvision.datasets import MNIST
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import torchvision.transforms as transforms
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import torch
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from test_tube import HyperOptArgumentParser, Experiment, SlurmCluster
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from pytorch-lightning.models.trainer import Trainer
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from pytorch-lightning.utils.arg_parse import add_default_args
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from pytorch_lightning.models.trainer import Trainer
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from pytorch_lightning.utils.arg_parse import add_default_args
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from pytorch-lightning.utils.pt_callbacks import EarlyStopping, ModelCheckpoint
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from pytorch_lightning.utils.pt_callbacks import EarlyStopping, ModelCheckpoint
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SEED = 2334
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torch.manual_seed(SEED)
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# ---------------------
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# DEFINE MODEL HERE
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# ---------------------
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from example_model import ExampleModel
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from docs.source.examples.example_model import ExampleModel
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# ---------------------
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AVAILABLE_MODELS = {
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