*   TensorFlow Windows Build:

    *   Clang is now the default compiler to build TensorFlow CPU wheels on the
        Windows Platform starting with this release. The currently supported
        version is LLVM/clang 17. The official Wheels-published on PyPI will be
        based on Clang; however, users retain the option to build wheels using
        the MSVC compiler following the steps mentioned in

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]...

    * These `dependencies` are run before the normal parameter dependencies. And normal dependencies are run too. They can be combined.
    * Dependencies declared in a router are executed first, then the ones defined in *path operation decorators*, and then the ones declared in normal parameters. They are all combined and executed.

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]...