String someName = "someName"
        String someVersion = "someVersion"
        String someConfiguration = "someConfiguration"
        DefaultResolvedDependency resolvedDependency = new DefaultResolvedDependency(someConfiguration, newId(someGroup, someName, someVersion), buildOperationProcessor)

        then:
        resolvedDependency.name == someGroup + ":" + someName + ":" + someVersion

            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: NODE_NAME
          valueFrom:
            fieldRef:
              fieldPath: spec.nodeName
        - name: INSTANCE_IP
          valueFrom:
            fieldRef:
              fieldPath: status.podIP

          *op_reg_data = tensorflow::OpRegistrationData(opdef);
          return absl::OkStatus();
        });

    // Register the corresponding fake op kernel.
    const char* node_name = opdef.name().c_str();
    const char* op_name = opdef.name().c_str();
    const char* device_name = "CPU";
    static auto fake_compute_func = [](void* kernel, TF_OpKernelContext* ctx) {
    };

//
//	db.Joins("Account").Find(&user)
//	db.Joins("JOIN emails ON emails.user_id = users.id AND emails.email = ?", "******@****.***").Find(&user)
//	db.Joins("Account", DB.Select("id").Where("user_id = users.id AND name = ?", "someName").Model(&Account{}))
func (db *DB) Joins(query string, args ...interface{}) (tx *DB) {
	return joins(db, clause.LeftJoin, query, args...)
}

// InnerJoins specify inner joins conditions

  # try creating again just in case.
  New-Item $fluentd_config_dir -ItemType 'directory' -Force | Out-Null

  $config = $FLUENTD_CONFIG.replace('NODE_NAME', (hostname))
  $config | Out-File -FilePath $fluentd_config_file -Encoding ASCII
  Log-Output "Wrote fluentd logging config to $fluentd_config_file"

      For example, this would transform

      "tf_saved_model.global_tensor"() { sym_name = "v" ... }
      func @f(%arg0 {tf_saved_model.bound_input = @v}) {
        %1 = "tf.ReadVariableOp"(%arg0)
        ...
      }

      to

      func @f(%arg0 {tf_saved_model.bound_input = @v}) {
        %0 = "tf.VarHandleOp"(sym_name = "v")
        %1 = "tf.ReadVariableOp"(%0)
        ...
      }