*Nat) trim() *Nat { // Trim most significant (trailing in little-endian) zero limbs. // We assume comparison with zero (but not the branch) is constant time. for i := len(x.limbs) - 1; i >= 0; i-- { if x.limbs[i] != 0 { break } x.limbs = x.limbs[:i] } return x } // set assigns x = y, optionally resizing x to the appropriate size. func (x *Nat) set(y *Nat) *Nat { x.reset(len(y.limbs)) copy(x.limbs, y.limbs) return x } // Bits returns x as a little-endian slice of uint. The length of the slice // matches...

0466          ; mapped                 ; 0467          # 1.1  CYRILLIC CAPITAL LETTER LITTLE YUS
0467          ; valid                                  # 1.1  CYRILLIC SMALL LETTER LITTLE YUS
0468          ; mapped                 ; 0469          # 1.1  CYRILLIC CAPITAL LETTER IOTIFIED LITTLE YUS
0469          ; valid                                  # 1.1  CYRILLIC SMALL LETTER IOTIFIED LITTLE YUS

*Nat) trim() *Nat { // Trim most significant (trailing in little-endian) zero limbs. // We assume comparison with zero (but not the branch) is constant time. for i := len(x.limbs) - 1; i >= 0; i-- { if x.limbs[i] != 0 { break } x.limbs = x.limbs[:i] } return x } // set assigns x = y, optionally resizing x to the appropriate size. func (x *Nat) set(y *Nat) *Nat { x.reset(len(y.limbs)) copy(x.limbs, y.limbs) return x } // Bits returns x as a little-endian slice of uint. The length of the slice // matches...

        construct the layer with LSTM(recurrent_activation='hard_sigmoid') to
        fallback to 1.x behavior.
*   TensorFlow Lite
    *   Move from `tensorflow/contrib/lite` to `tensorflow/lite`.
    *   Add experimental Java API for injecting TensorFlow Lite delegates
    *   Add support for strings in TensorFlow Lite Java API.
*   `tf.contrib`:
    *   Add Apache Ignite Filesystem plugin to support accessing Apache IGFS.