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38 lines
590 B
Python
38 lines
590 B
Python
from tinygrad.tensor import Tensor
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from tinygrad.helpers import getenv
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def train_resnet():
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# TODO: Resnet50-v1.5
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pass
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def train_retinanet():
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# TODO: Retinanet
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pass
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def train_unet3d():
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# TODO: Unet3d
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pass
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def train_rnnt():
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# TODO: RNN-T
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pass
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def train_bert():
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# TODO: BERT
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pass
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def train_maskrcnn():
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# TODO: Mask RCNN
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pass
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if __name__ == "__main__":
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Tensor.training = True
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for m in getenv("MODEL", "resnet,retinanet,unet3d,rnnt,bert,maskrcnn").split(","):
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nm = f"train_{m}"
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if nm in globals():
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print(f"training {m}")
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globals()[nm]()
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