(xLimbs[i] ^ dLimbs[i])) xLimbs[i], carry = bits.Add(l, l, carry) dLimbs[i], borrow = bits.Sub(xLimbs[i], mLimbs[i], borrow) } // Like in maybeSubtractModulus, we need the subtraction if either it // didn't underflow (meaning 2x + b > m) or if computing 2x + b // overflowed (meaning 2x + b > 2^_W*n > m). needSubtraction = not(choice(borrow)) | choice(carry) } return x.assign(needSubtraction, d) } // Mod calculates out = x mod m. // // This works regardless how large the value of x is. // // The output...

(xLimbs[i] ^ dLimbs[i])) xLimbs[i], carry = bits.Add(l, l, carry) dLimbs[i], borrow = bits.Sub(xLimbs[i], mLimbs[i], borrow) } // Like in maybeSubtractModulus, we need the subtraction if either it // didn't underflow (meaning 2x + b > m) or if computing 2x + b // overflowed (meaning 2x + b > 2^_W*n > m). needSubtraction = not(choice(borrow)) | choice(carry) } return x.assign(needSubtraction, d) } // Mod calculates out = x mod m. // // This works regardless how large the value of x is. // // The output...

tf.audio_summary, tf.image_summary with tf.summary.scalar, tf.summary.histogram,
tf.summary.audio, tf.summary.image, respectively. The new summary ops take name
rather than tag as their first argument, meaning summary ops now respect
TensorFlow name scopes. * Replace tf.train.SummaryWriter and
tf.train.SummaryWriterCache with tf.summary.FileWriter and
tf.summary.FileWriterCache. * Removes RegisterShape from public API. Use C++