self.assertAllClose(sq.numpy().reshape(-1), [-0.950213, 0, 5, 12])


if __name__ == '__main__':
  os.environ['TF_MLIR_TFR_LIB_DIR'] = 'tensorflow/compiler/mlir/tfr/resources'
  ops.enable_eager_execution()

            resource=handle, dtype=dtypes.float32))


if __name__ == '__main__':
  os.environ['TF_MLIR_TFR_LIB_DIR'] = 'tensorflow/compiler/mlir/tfr/resources'
  ops.enable_eager_execution()

(Terry) Tang, Yuxin Wu, Ziyue(Louis) Lu

# Release 1.7.0

## Major Features And Improvements

*   Eager mode is moving out of contrib, try `tf.enable_eager_execution()`.
*   Graph rewrites emulating fixed-point quantization compatible with TensorFlow
    Lite, supported by new `tf.contrib.quantize` package.
*   Easily customize gradient computation with `tf.custom_gradient`.