mirror of https://github.com/commaai/tinygrad.git
adam in benchmark_train_efficientnet
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@ -17,13 +17,15 @@ BS = int(os.getenv("BS", 8))
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CNT = int(os.getenv("CNT", 10))
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BACKWARD = int(os.getenv("BACKWARD", 0))
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TRAINING = int(os.getenv("TRAINING", 1))
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ADAM = int(os.getenv("ADAM", 0))
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if __name__ == "__main__":
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print(f"NUM:{NUM} BS:{BS} CNT:{CNT}")
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model = EfficientNet(NUM, classes=1000, has_se=False, track_running_stats=False)
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parameters = get_parameters(model)
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for p in parameters: p.realize()
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optimizer = optim.SGD(parameters, lr=0.001)
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if ADAM: optimizer = optim.Adam(parameters, lr=0.001)
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else: optimizer = optim.SGD(parameters, lr=0.001)
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Tensor.training = TRAINING
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Tensor.no_grad = not BACKWARD
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