Method Compute

en_ops/e_logprob.cc:95–124

        OP_REQUIRES(context, lib != NULL, errors::Unknown("Unable to load sgx.so!"));
    }
    void Compute(OpKernelContext *context) override
    {

        const Tensor &grad = context->input(0);
        auto grad_flat = grad.flat<float>();

        const Tensor &input = context->input(1);
        auto input_flat = input.flat<float>();

        const Tensor &mu = context->input(2);
        auto mu_flat = mu.flat<float>();

        const Tensor &sigma = context->input(3);
        auto sigma_flat = sigma.flat<float>();

        const TensorShape &input_shape = input.shape();

        Tensor *output = NULL;
        OP_REQUIRES_OK(context, context->allocate_output(0, input_shape, &output));
        auto output_flat = output->flat<float>();
        int N = input_flat.size() / times_;

        unsigned long int eid_ = (eid_high_ << 32) + eid_low_;
        typedef void (*function)(unsigned long int eid, float *input, float *grad, float *mu, float *sigma, int N, float *output);
        dlerror();
        function logprob_grad_kernel = (function)dlsym(lib, "logprob_grad");
        const char *dlsym_error = dlerror();
        OP_REQUIRES(context, !dlsym_error, errors::Unknown("loading of logprob_grad failed: ", dlsym_error));
        logprob_grad_kernel(eid_, (float *)input_flat.data(), (float *)grad_flat.data(), (float *)mu_flat.data(), (float *)sigma_flat.data(), N, (float *)output_flat.data());
    };

private:
    void *lib;