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    [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad() (#41198) · afadb8c5
    Zhanlue Yang 提交于
    * [Refactor] refactored eager_gen.py PR #2
    
    * [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes
    
    * Fixed minor issue
    
    * Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition
    
    * Fixed issues
    
    * Supported higher-order grad node generation
    
    * [DoubleGrad PR #4] Supported higher-order GradNode generation
    
    * [DoubleGrad #4] Bug Fixes to Double Grad Node Generation
    
    * Fixed yaml typo
    
    * Fixed yaml typo
    
    * fixed minor issues
    
    * [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad()
    
    * Fixed minor issue
    
    * Fixed CI-Inference issue
    
    * Fixed CI-inference issues
    afadb8c5
backward_test.cc 11.4 KB