systems in general.

Operations in this dialect usually operate on tensor and scalar types defined in
the standard dialect. The extra defined types are specific to TensorFlow: `QINT`
types like !tf_type.qint8 (etc), `QUINT` types like !tf_type.quint8, all of the
`REF` types like !tf_type.uint8ref, as well as !tf_type.string,
!tf_type.resource, and !tf_type.variant which correspond to the tensorflow types
of the same name.

### Example:

  And<[
    Or<[CPred<"getElementTypeOrSelf($_op.getResult(" # i # ")).isa<mlir::TF::Quint" # num # "Type>()">,
        CPred<"getElementTypeOrSelf($_op.getResult(" # i # ")).isUnsignedInteger(" # num # ")">]>,
    Or<[CPred<"getElementTypeOrSelf($_op.getOperand(" # j # ")).isa<mlir::TF::Quint" # num # "Type>()">,
        CPred<"getElementTypeOrSelf($_op.getOperand(" # j # ")).isUnsignedInteger(" # num # ")">]>]>;

	}

	if !reflect.DeepEqual(tr.ProxyConnectHeader, h) {
		t.Errorf("tr.ProxyConnectHeader = %v; want %v", tr.ProxyConnectHeader, h)
	}
}

// TestTransportGzipRecursive sends a gzip quine and checks that the
// client gets the same value back. This is more cute than anything,
// but checks that we don't recurse forever, and checks that
// Content-Encoding is removed.