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[ CPUFloatType{3,4} ]
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Please see the documentation for ``torch::autograd::backward ``
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- (`link <https://pytorch.org/cppdocs/api/function_namespacetorch_1_1autograd_1afa9b5d4329085df4b6b3d4b4be48914b .html >`_)
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+ (`link <https://pytorch.org/cppdocs/api/function_namespacetorch_1_1autograd_1a1403bf65b1f4f8c8506a9e6e5312d030 .html#function-torch-autograd-backward >`_)
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and ``torch::autograd::grad ``
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- (`link <https://pytorch.org/cppdocs/api/function_namespacetorch_1_1autograd_1a1e03c42b14b40c306f9eb947ef842d9c .html >`_)
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+ (`link <https://pytorch.org/cppdocs/api/function_namespacetorch_1_1autograd_1ab9fa15dc09a8891c26525fb61d33401a .html#function-torch-autograd-grad >`_)
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for more information on how to use them.
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Using custom autograd function in C++
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