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dde.gradients support 3D outputs#1928

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Jerry-Jzy wants to merge 218 commits intolululxvi:masterlululxvi/deepxde:masterfrom Jerry-Jzy:masterJerry-Jzy/deepxde:masterCopy head branch name to clipboard

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Commits on May 27, 2022

• exchange .ipynb with .py and add a demo document

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Commits on May 28, 2022

• Update demo document for lorenz with exogenous input. inverse

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• add deeponet implemented by pytorch

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• tiny changes in deeponet.py and model.py

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• add Pytorch implementation of AdamW optimizer

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• self.regularizer = regularization

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• Modify regularization, to regularization=regularization, and For L-BFGS, raise an error if weigth_decay > 0

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• doesn't require --> doesn't support

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• backend Pytorch support MIONetCartesianProd and PODMIONet

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• y_loc = self.trunk(x_loc)

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• y_loc = self.trunk(x_loc)

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• add trunk_activation:bool to determine whether use activation func in trunk net

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• add trunk_last_activation:bool to determine whether use activation func in trunk net

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• pytorch backend PODMIONet add branch connect method of "sum","mul","cat" and optional port net after connection.

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• add merger net and output merger net in MIONetCartesianProd and add monitor in ModelCheckpoint

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