// CHECK-DAG:  [[READ0:%.+]] = "tf.ReadVariableOp"([[ARG0]])
  // CHECK-DAG:  [[READ1:%.+]] = "tf.ReadVariableOp"([[ARG1]])
  // CHECK:      [[INPUT0:%.+]] = "tf.TPUPartitionedInputV2"([[READ0]], [[READ1]])
  // CHECK-DAG:  [[READ2:%.+]] = "tf.ReadVariableOp"([[ARG0]])
  // CHECK-DAG:  [[READ3:%.+]] = "tf.ReadVariableOp"([[ARG1]])

  // CHECK:      %[[READ0:.*]] = "tf.ReadVariableOp"(%arg0)
  // CHECK-NEXT: %[[READ2:.*]] = "tf.ReadVariableOp"(%arg2)
  // CHECK-NEXT: tf_device.replicate
  // CHECK-NEXT:   %[[READ1:.*]] = "tf.ReadVariableOp"(%arg1)
  // CHECK-NEXT:   "tf.OpA"(%[[READ0]], %[[READ1]], %[[READ2]])
  tf_device.replicate {n = 2 : i32} {

    %key, %key_control = tf_executor.island wraps "tf.GetKey"() : () -> !tf_str
    // CHECK: "tf.ReadVariableOp"(%arg0)
    %read1, %read1_control  = tf_executor.island wraps "tf.ReadVariableOp"(%arg0) : (!tf_res) -> tensor<f32>
    // CHECK: "tf.ReadVariableOp"(%arg1)
    %read2, %read2_control  = tf_executor.island wraps "tf.ReadVariableOp"(%arg1) : (!tf_res) -> tensor<f32>

      "      op: 'Add'"
      "      input: 'read0:value:0'"
      "      input: 'read1:value:0'"
      "      attr {"
      "        key: 'T'"
      "        value {"
      "          type: DT_FLOAT"
      "        }"
      "      }"
      "    }"
      "    node_def {"
      "      name: 'add2'"
      "      op: 'Add'"
      "      input: 'add1:z:0'"
      "      input: 'read2:value:0'"
      "      attr {"

      %read0 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
      %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
      %partitioned_input = "tf.TPUPartitionedInput"(%read0, %read1) {N = 2 : i64, _XlaSharding = "", partition_dim = -1 : i64} : (tensor<i32>, tensor<i32>) -> tensor<i32>

    %read0 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
    // CHECK: %[[READ_VAR_1:[0-9]*]] = "tf.ReadVariableOp"(%arg1)
    %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
    // CHECK-NOT: tf.TPUPartitionedInputV2

		r.syntaxError()
	}
}

// readIdent reads an identifier from the input.
// If an identifier is not present, readIdent records a syntax error.
func (r *importReader) readIdent() {
	c := r.peekByte(true)
	if !isIdent(c) {
		r.syntaxError()
		return
	}
	for isIdent(r.peekByte(false)) {
		r.peek = 0
	}
}

// readString reads a quoted string literal from the input.

	return i
}

// string reads the next string.
func (r *reader) string() string {
	return r.d.stringTableAt(r.int())
}

// bool reads the next bool.
func (r *reader) bool() bool {
	return r.int() != 0
}

// tokpos reads the next token.Position.
func (r *reader) tokpos() token.Position {
	return token.Position{
		Filename: r.string(),
		Offset:   r.int(),
		Line:     r.int(),

Alan Donovan <******@****.***> 1714508407 -0400

        ports:
        - containerPort: 15090
          name: http-envoy-prom
          protocol: TCP
        readinessProbe:
          failureThreshold: 4
          httpGet:
            path: /healthz/ready
            port: 15021
          periodSeconds: 15
          timeoutSeconds: 3
        resources:
          limits:
            cpu: "2"
            memory: 1Gi
          requests: