"iss": "https://auth.example.com",
				"aud": "my-client",
				"username": "jane",
				"exp": %d
			}`, valid.Unix()),
			wantErr: "oidc: required claim hd not present in ID token",
		},
		{
			name: "invalid-required-claim",
			options: Options{
				JWTAuthenticator: apiserver.JWTAuthenticator{
					Issuer: apiserver.Issuer{
						URL:       "https://auth.example.com",

    public static final String CONSTRAINTS_URL_MESSAGE = "{constraints.URL.message}";

    /** The key of the message: {item} is required. */
    public static final String CONSTRAINTS_Required_MESSAGE = "{constraints.Required.message}";

    /** The key of the message: {item} should be numeric. */
    public static final String CONSTRAINTS_TypeInteger_MESSAGE = "{constraints.TypeInteger.message}";

    - [Action Required](#action-required)
    - [Other notable changes](#other-notable-changes-10)
- [v1.5.0-alpha.2](#v150-alpha2)
  - [Downloads for v1.5.0-alpha.2](#downloads-for-v150-alpha2)
    - [Client Binaries](#client-binaries-12)
    - [Server Binaries](#server-binaries-12)
  - [Changelog since v1.5.0-alpha.1](#changelog-since-v150-alpha1)
    - [Action Required](#action-required-1)

  KONNECTIVITY_AGENT_KEY_BASE64=$(get-env-val "${master_env}" "KONNECTIVITY_AGENT_KEY")
}

# Update or verify required gcloud components are installed
# at minimum required version.
# Assumed vars
#   KUBE_PROMPT_FOR_UPDATE
function update-or-verify-gcloud() {
  local sudo_prefix=""
  if [ ! -w "$(dirname "$(which gcloud)")" ]; then

    int64_t kernel_output_feature_dim =
        GetConvolutionKernelOutputFeatureDimension(is_depthwise);
    // Create a new quantized tensor type for the filter. This is required
    // because the quantized dimension is changed from 3 -> 0. `TFL::Conv2DOp`
    // requires the quantized dimension to be 0 because it accepts a filter
    // tensor of format OHWI

 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  let description = [{
    Performs transposed convolution operation on 3D inputs.
    Inputs:
      `inputs[0]`: required: the shape of output tensor
      `inputs[1]`: required: the filter weight tensor
      `inputs[2]`: required: the input activation tensor
      `inputs[3]`: optional: the bias tensor
  }];

  let arguments = (ins
    TFL_I32Tensor:$output_shape,

      return op.emitOpError(
          "requires value operand to have rank at least two with `NHWC` data "
          "format");
  } else {
    // Op definition requires data_format to be either NHWC or NCHW.
    DCHECK_EQ(format, tensorflow::TensorFormat::FORMAT_NCHW);
    if (!HasRankAtLeast(op.getValue(), 3))
      return op.emitOpError(
          "requires value operand to have rank at least three with `NCHW` data "