}

def TF_XlaRecvOp : TF_Op<"XlaRecv", [TF_RecvSideEffect]> {
  let summary = [{
Receives the named tensor from another XLA computation. Wraps the XLA Recv
  }];

  let description = [{
operator documented at
 https://www.tensorflow.org/performance/xla/operation_semantics#recv .
  }];

  let arguments = (ins
    StrAttr:$tensor_name,
    TF_ShapeAttr:$shape
  );

        Eager mode.

*   `tf.lite`:

    *   Enable TFLite experimental new converter by default.

*   XLA

    *   XLA now builds and works on windows. All prebuilt packages come with XLA
        available.
    *   XLA can be
        [enabled for a `tf.function`](https://www.tensorflow.org/xla#explicit_compilation_with_tffunction)
        with “compile or throw exception” semantics on CPU and GPU.