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Show model size for pytorch models
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@@ -15,6 +15,7 @@ import torch
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import torch.nn as nn
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import torch.optim as optim
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from .pytorch_utils import count_parameters
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from ...model.base import Model
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from ...data.dataset import DatasetH
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from ...data.dataset.handler import DataHandlerLP
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@@ -129,6 +130,9 @@ class DNNModelPytorch(Model):
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self._scorer = mean_squared_error if loss == "mse" else roc_auc_score
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self.dnn_model = Net(input_dim, output_dim, layers, loss=self.loss_type)
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self.logger.info("model:\n{:}".format(self.dnn_model))
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self.logger.info("model size: {:.4f} MB".format(count_parameters(self.dnn_model)))
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if optimizer.lower() == "adam":
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self.train_optimizer = optim.Adam(self.dnn_model.parameters(), lr=self.lr, weight_decay=self.weight_decay)
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elif optimizer.lower() == "gd":
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