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tensorflow/cc/gradients/math_grad.cc
grad_outputs->push_back(Conj(scope, grad_inputs[0])); return scope.status(); } REGISTER_GRADIENT_OP("Conj", ConjGrad); // Integer division x / y, assuming x and y >=0, but treats x/0 = x Output SafeDivHelper(const Scope& scope, const Output& x, const Output& y) { return Div(scope, x, Maximum(scope, y, Const(scope, 1))); } // SumGradHelper returns the gradient for the Sum operator, and is used
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