{"Sysinfo_t.Uptime", Field, 0},
		{"Sysinfo_t.X_f", Field, 0},
		{"Systemtime", Type, 0},
		{"Systemtime.Day", Field, 0},
		{"Systemtime.DayOfWeek", Field, 0},
		{"Systemtime.Hour", Field, 0},
		{"Systemtime.Milliseconds", Field, 0},
		{"Systemtime.Minute", Field, 0},
		{"Systemtime.Month", Field, 0},
		{"Systemtime.Second", Field, 0},
		{"Systemtime.Year", Field, 0},

For details on best practices with 2.0, see
[the Effective 2.0 guide](https://www.tensorflow.org/beta/guide/effective_tf2)

For information on upgrading your existing TensorFlow 1.x models, please refer
to our
[Upgrade](https://medium.com/tensorflow/upgrading-your-code-to-tensorflow-2-0-f72c3a4d83b5)
and [Migration](https://www.tensorflow.org/beta/guide/migration_guide) guides.
We have also released a collection of

        "description": "RawExtension is used to hold extensions in external versions.\n\nTo use this, make a field which has RawExtension as its type in your external, versioned struct, and Object in your internal struct. You also need to register your various plugin types.\n\n// Internal package:\n\n\ttype MyAPIObject struct {\n\t\truntime.TypeMeta `json:\",inline\"`\n\t\tMyPlugin runtime.Object `json:\"myPlugin\"`\n\t}\n\n\ttype PluginA struct {\n\t\tAOption...

        "description": "RawExtension is used to hold extensions in external versions.\n\nTo use this, make a field which has RawExtension as its type in your external, versioned struct, and Object in your internal struct. You also need to register your various plugin types.\n\n// Internal package:\n\n\ttype MyAPIObject struct {\n\t\truntime.TypeMeta `json:\",inline\"`\n\t\tMyPlugin runtime.Object `json:\"myPlugin\"`\n\t}\n\n\ttype PluginA struct {\n\t\tAOption...

  }];

  let description = [{
For each entry in `x`, calculates the number of `1` (on) bits in the binary
representation of that entry.

**NOTE**: It is more efficient to first `tf.bitcast` your tensors into
`int32` or `int64` and perform the bitcount on the result, than to feed in
8- or 16-bit inputs and then aggregate the resulting counts.
  }];

  let arguments = (ins
    TF_IntTensor:$x

					t.Run(podMeta.Name, func(t *testing.T) {
						errs := ValidatePodSpec(spec, podMeta, field.NewPath("field"), PodValidationOptions{})
						// Only one out of the four combinations fails.
						expectError := spec == &goodClaimTemplate && podMeta == brokenPodName
						if expectError && len(errs) == 0 {
							t.Error("did not get the expected failure")
						}