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tensorflow/c/experimental/gradients/custom_gradient_test.cc
grad_inputs[0] = grad_outputs[0]; if (grad_inputs[0]) { grad_inputs[0]->Ref(); } return absl::OkStatus(); } }; // Computes: // // @tf.custom_gradient // def f(input): // def grad(grads): // return grads[0] // return tf.exp(input), grad // outputs = [f(inputs[0])] Status ExpWithPassThroughGrad(AbstractContext* ctx,
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