avoid leaking memory).
*   Support different summary and checkpoint directories in
    `tf.train.MonitoredTrainingSession()`.
*   Added IndRNN, IndyGRU, and IndyLSTM cells to `tf.contrib.rnn`.
*   Add safe static factory functions for SparseTensor and convert all CHECKs to
    DCHECKs. Using the constructor directly is unsafe and deprecated.
*   Make the Bigtable client connection pool configurable & increase the

following hold: // // u = A*a - B*m // v = D*m - C*a // 0 < u <= a // 0 <= v <= m // 0 <= A < m // 0 <= B <= a // 0 <= C < m // 0 <= D <= a // // After each loop iteration, u and v only get smaller, and at least one of // them shrinks by at least a factor of two. for { // If both u and v are odd, subtract the smaller from the larger. // If u = v, we need to subtract from v to hit the modified exit condition. if u.IsOdd() == yes && v.IsOdd() == yes { if v.cmpGeq(u) == no { u.sub(v) A.Add(C, &Modulus{nat:...

following hold: // // u = A*a - B*m // v = D*m - C*a // 0 < u <= a // 0 <= v <= m // 0 <= A < m // 0 <= B <= a // 0 <= C < m // 0 <= D <= a // // After each loop iteration, u and v only get smaller, and at least one of // them shrinks by at least a factor of two. for { // If both u and v are odd, subtract the smaller from the larger. // If u = v, we need to subtract from v to hit the modified exit condition. if u.IsOdd() == yes && v.IsOdd() == yes { if v.cmpGeq(u) == no { u.sub(v) A.Add(C, &Modulus{nat:...