},
	"cmp": {
		{"Compare", Func, 21},
		{"Less", Func, 21},
		{"Or", Func, 22},
		{"Ordered", Type, 21},
	},
	"compress/bzip2": {
		{"(StructuralError).Error", Method, 0},
		{"NewReader", Func, 0},
		{"StructuralError", Type, 0},
	},
	"compress/flate": {
		{"(*ReadError).Error", Method, 0},
		{"(*WriteError).Error", Method, 0},
		{"(*Writer).Close", Method, 0},

- github.com/jellevandenhooff/dkim: [f50fe3d](https://github.com/jellevandenhooff/dkim/tree/f50fe3d)
- github.com/klauspost/compress: [v1.4.1](https://github.com/klauspost/compress/tree/v1.4.1)
- github.com/logrusorgru/aurora: [a7b3b31](https://github.com/logrusorgru/aurora/tree/a7b3b31)
- github.com/mattn/go-shellwords: [v1.0.5](https://github.com/mattn/go-shellwords/tree/v1.0.5)

  let results = (outs);

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF__TPUCompileMlirOp : TF_Op<"_TPUCompileMlir", [TF_MustExecute]> {
  let summary = [{
Compiles a computations for execution on one or more TPU devices.
  }];

  let description = [{
For the internal use of the distributed TPU compiler.

the Glass. And now measuring the Diameter of the fifth dark Circle as
accurately as I could, I found it the fifth part of an Inch precisely.
This Measure was taken with the points of a pair of Compasses on the
upper Surface on the upper Glass, and my Eye was about eight or nine
Inches distance from the Glass, almost perpendicularly over it, and the
Glass was 1/6 of an Inch thick, and thence it is easy to collect that

    *   Argument `jit_compile` in `Model.compile()` now applies to
        `Model.evaluate()` and `Model.predict()`. Setting `jit_compile=True` in
        `compile()` compiles the model's training, evaluation, and inference
        steps to [XLA](https://www.tensorflow.org/xla). Note that
        `jit_compile=True` may not necessarily work for all models.