Method Compute

en_ops/e_huber_loss.cc:99–132

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

        const Tensor &grad = context->input(0);
        const Tensor &input = context->input(1);
        const Tensor &real = context->input(2);
        const Tensor &delta = context->input(3);
        auto input_flat = input.flat<float>();
        auto real_flat = real.flat<float>();
        auto grad_flat = grad.flat<float>();
        auto delta_flat = delta.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>();

        Tensor *grad_r = NULL;
        OP_REQUIRES_OK(context, context->allocate_output(1, real.shape(), &grad_r));
        auto grad_r_flat = grad_r->flat<float>();

        int N = input_flat.size() / times_;
        int C = delta_flat.size();
        int B = input_shape.dim_size(0) / times_;

        unsigned long int eid_ = (eid_high_ << 32) + eid_low_;
        typedef void (*function)(unsigned long int eid, float *pred, float *real, float *delta, float *grad, int N, int C, int B, float *output, float *grad_r);
        dlerror();
        function huberloss_grad_kernel = (function)dlsym(lib, "huberloss_grad");
        const char *dlsym_error = dlerror();
        OP_REQUIRES(context, !dlsym_error, errors::Unknown("loading of huberloss_grad failed: ", dlsym_error));
        huberloss_grad_kernel(eid_, (float *)input_flat.data(), (float *)real_flat.data(), (float *)delta_flat.data(), (float *)grad_flat.data(), N, C, B, (float *)output_flat.data(), (float *)grad_r_flat.data());
    };

private:
    void *lib;