*   `tf.einsum()`raises `ValueError` for unsupported equations like
        `"ii->"`.
    *   Add DCT-I and IDCT-I in `tf.signal.dct` and `tf.signal.idct`.
    *   Add LU decomposition op.
    *   Add quantile loss to gradient boosted trees in estimator.
    *   Add `round_mode` to `QuantizeAndDequantizeV2` op to select rounding
        algorithm.
    *   Add `unicode_encode`, `unicode_decode`, `unicode_decode_with_offsets`,

    }
  }];
}

def TF_FakeQuantWithMinMaxVarsOp : TF_Op<"FakeQuantWithMinMaxVars", [Pure]> {
  let summary = [{
Fake-quantize the 'inputs' tensor of type float via global float scalars
  }];

  let description = [{
Fake-quantize the `inputs` tensor of type float via global float scalars
`min` and `max` to `outputs` tensor of same shape as `inputs`.

Attributes