}},
							},
							Namespaces: []string{"ns"},
						}},
					},
				}),
			},
		},
		"invalid hard pod anti-affinity, empty topologyKey is not allowed for hard pod anti-affinity": {
			expectedError: "can not be empty",
			spec: core.Pod{
				ObjectMeta: metav1.ObjectMeta{
					Name:      "123",
					Namespace: "ns",
				},

      },
      "io.k8s.api.core.v1.PodAntiAffinity": {
        "description": "Pod anti affinity is a group of inter pod anti affinity scheduling rules.",
        "properties": {
          "preferredDuringSchedulingIgnoredDuringExecution": {

qKayBwADBQf7BGl4POKtluAbX3a/KGnX1YyibPT2e4pdOxqbKTwuRc7ILIK/LVce
jVuLd+eOF1QmjToI7Y3qjlzvtaxSemfkxbIQpdus0SyHEEAGH/qjNuTs8ZwEl9tP
PrKaJHbJ9kQrlDPwkufA0NDAXTE76UhcHPY0DeykAKEw2ravEqI7Y0nXR2WSmRLF
ChmQ+aNTm/9UGI/IoRdS/dgo1eaLD/7RLFeL5tGDe+2nj+B6j+52nZEmaRCWWU7O
9jYL1cQu5WTurtneCLtIqehLsjuVz9ihBysYuUcTOV/6W0AIclQoMEiFR9Kyv0ow
Dk6LtX2DgibJuAvvLlnajsiGm5nyVh3G1IhJBBgRAgAJBQJL7GcQAhsMAAoJEHx9

        benchmarks.
    *   `image.resize` in 2.0 now supports gradients for the new resize kernels.
    *   `image.resize` now considers proper pixel centers and has new kernels
        (incl. anti-aliasing).
    *   Renamed `tf.image` functions to remove duplicate "image" where it is
        redundant.
    *   Variadic reduce is supported on CPU Variadic reduce is supported on CPU

1F933..1F93E  ; valid                  ;      ; NV8    # 9.0  SELFIE..HANDBALL
1F93F         ; valid                  ;      ; NV8    # 12.0 DIVING MASK
1F940..1F94B  ; valid                  ;      ; NV8    # 9.0  WILTED FLOWER..MARTIAL ARTS UNIFORM
1F94C         ; valid                  ;      ; NV8    # 10.0 CURLING STONE
1F94D..1F94F  ; valid                  ;      ; NV8    # 11.0 LACROSSE STICK AND BALL..FLYING DISC

    Arg<TensorOf<[TF_Float32, TF_Float64, TF_Int32, TF_Int64]>, [{is an int32, int64, float32, or float64 `Tensor` with the same
shape as `arr`, or a length-0 `Tensor`, in which case it acts as all weights
equal to 1.}]>:$weights
  );

  let results = (outs
    Res<TensorOf<[TF_Float32, TF_Float64, TF_Int32, TF_Int64]>, [{1D `Tensor` with length equal to `size`. The counts or summed weights for