/** Returns a * b mod m. */
    abstract long mulMod(long a, long b, long m);

    /** Returns a^2 mod m. */
    abstract long squareMod(long a, long m);

    /** Returns a^p mod m. */
    private long powMod(long a, long p, long m) {
      long res = 1;
      for (; p != 0; p >>= 1) {
        if ((p & 1) != 0) {
          res = mulMod(res, a, m);
        }
        a = squareMod(a, m);

Expression = UnaryExpr | Expression binary_op Expression .
UnaryExpr  = PrimaryExpr | unary_op UnaryExpr .

binary_op  = "||" | "&&" | rel_op | add_op | mul_op .
rel_op     = "==" | "!=" | "<" | "<=" | ">" | ">=" .
add_op     = "+" | "-" | "|" | "^" .
mul_op     = "*" | "/" | "%" | "<<" | ">>" | "&" | "&^" .

unary_op   = "+" | "-" | "!" | "^" | "*" | "&" | "<-" .
</pre>

<p>

*   `tf.data`:

    *   Moved option `warm_start` from `tf.data.experimental.OptimizationOptions` to `tf.data.Options`.

*   `tf.lite`:

    *   `sub_op` and `mul_op` support broadcasting up to 6 dimensions.

R17 // z[i+1] MOVD 16(R3), R19 // z[i+2] MOVD 24(R3), R21 // z[i+3] MULLD R5, R14, R10 // low x[i]*y MULHDU R5, R14, R11 // high x[i]*y ADDC R15, R10 ADDZE R11 ADDC R9, R10 ADDZE R11, R9 MULLD R5, R16, R14 // low x[i+1]*y MULHDU R5, R16, R15 // high x[i+1]*y ADDC R17, R14 ADDZE R15 ADDC R9, R14 ADDZE R15, R9 MULLD R5, R18, R16 // low x[i+2]*y MULHDU R5, R18, R17 // high x[i+2]*y ADDC R19, R16 ADDZE R17 ADDC R9, R16 ADDZE R17, R9 MULLD R5, R20, R18 // low x[i+3]*y MULHDU R5, R20, R19 // high x[i+3]*y...