is set in compile. The single path execution code does not yet support
        all use cases. We fallback to the existing v1 execution paths if your
        model contains the following:
        1.  `sample_weight_mode` in compile
        2.  `weighted_metrics` in compile
        3.  v1 optimizer
        4.  target tensors in compile If you are experiencing any issues because

montgomeryMul for details. case 1024 / _W: const n = 1024 / _W // compiler hint T := make([]uint, n*2) for i := 0; i < n; i++ { T[n+i] = addMulVVW1024(&T[i], &xLimbs[0], yLimbs[i]) } return x.Mod(&Nat{limbs: T}, m) case 1536 / _W: const n = 1536 / _W // compiler hint T := make([]uint, n*2) for i := 0; i < n; i++ { T[n+i] = addMulVVW1536(&T[i], &xLimbs[0], yLimbs[i]) } return x.Mod(&Nat{limbs: T}, m) case 2048 / _W: const n = 2048 / _W // compiler hint T := make([]uint, n*2) for i := 0; i < n; i++ { T[n+i]...

montgomeryMul for details. case 1024 / _W: const n = 1024 / _W // compiler hint T := make([]uint, n*2) for i := 0; i < n; i++ { T[n+i] = addMulVVW1024(&T[i], &xLimbs[0], yLimbs[i]) } return x.Mod(&Nat{limbs: T}, m) case 1536 / _W: const n = 1536 / _W // compiler hint T := make([]uint, n*2) for i := 0; i < n; i++ { T[n+i] = addMulVVW1536(&T[i], &xLimbs[0], yLimbs[i]) } return x.Mod(&Nat{limbs: T}, m) case 2048 / _W: const n = 2048 / _W // compiler hint T := make([]uint, n*2) for i := 0; i < n; i++ { T[n+i]...