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 "

      if (failed(res)) {
        // Abort if unable to find which required inputs need to be computed.
        worklist.clear();
        break;
      }

      if (!inputs.empty()) {
        // Enqueue required computation followed by its required operands in
        // stack.
        worklist.push_back(std::move(front));

Licensed under the Apache License, Version 2.0 (the "License");
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.

	if timeout <= 0 {
		return false
	}
	return dc.createdAt.Add(timeout).Before(nowFunc())
}

// resetSession checks if the driver connection needs the
// session to be reset and if required, resets it.
func (dc *driverConn) resetSession(ctx context.Context) error {
	dc.Lock()
	defer dc.Unlock()

	if !dc.needReset {
		return nil
	}
	if cr, ok := dc.ci.(driver.SessionResetter); ok {