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tensorflow/c/experimental/gradients/array_grad_test.cc
GradientRegistry registry_; Status status_; public: bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; } bool UseFunction() const { return std::get<2>(GetParam()); } }; TEST_P(CppGradients, TestIdentityNGrad) { // This test is interesting because the current implementation of GradientTape // would return [0, 1] whereas we use build_default_zeros_grads=false here // so we get back [nullptr, 1].
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