*   TPUs can now be re-initialized multiple times, using
        `tf.tpu.experimental.initialize_tpu_system`.
    *   Add `RaggedTensor.merge_dims()`.
    *   Added new `uniform_row_length` row-partitioning tensor to
        `RaggedTensor`.
    *   Add `shape` arg to `RaggedTensor.to_tensor`; Improve speed of
        `RaggedTensor.to_tensor`.

copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) } return x } // addMulVVW multiplies the multi-word value x by the single-word value y, // adding the result to the multi-word value z and returning the final carry. // It can be thought of as one row of a pen-and-paper column multiplication. // //go:norace func addMulVVW(z, x []uint, y uint) (carry uint) { _ = x[len(z)-1] // bounds check elimination hint for i := range z { hi, lo := bits.Mul(x[i], y) lo, c := bits.Add(lo, z[i], 0) // We use bits.Add...

copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) } return x } // addMulVVW multiplies the multi-word value x by the single-word value y, // adding the result to the multi-word value z and returning the final carry. // It can be thought of as one row of a pen-and-paper column multiplication. // //go:norace func addMulVVW(z, x []uint, y uint) (carry uint) { _ = x[len(z)-1] // bounds check elimination hint for i := range z { hi, lo := bits.Mul(x[i], y) lo, c := bits.Add(lo, z[i], 0) // We use bits.Add...