in pai/libs/alibabacloud_eas20210701/models.py [0:0]
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.arch is not None:
result['Arch'] = self.arch
if self.auto_renewal is not None:
result['AutoRenewal'] = self.auto_renewal
if self.charge_type is not None:
result['ChargeType'] = self.charge_type
if self.create_time is not None:
result['CreateTime'] = self.create_time
if self.expired_time is not None:
result['ExpiredTime'] = self.expired_time
if self.instance_cpu_count is not None:
result['InstanceCpuCount'] = self.instance_cpu_count
if self.instance_gpu_count is not None:
result['InstanceGpuCount'] = self.instance_gpu_count
if self.instance_gpu_memory is not None:
result['InstanceGpuMemory'] = self.instance_gpu_memory
if self.instance_id is not None:
result['InstanceId'] = self.instance_id
if self.instance_ip is not None:
result['InstanceIp'] = self.instance_ip
if self.instance_memory is not None:
result['InstanceMemory'] = self.instance_memory
if self.instance_name is not None:
result['InstanceName'] = self.instance_name
if self.instance_status is not None:
result['InstanceStatus'] = self.instance_status
if self.instance_tenant_ip is not None:
result['InstanceTenantIp'] = self.instance_tenant_ip
if self.instance_type is not None:
result['InstanceType'] = self.instance_type
if self.instance_used_cpu is not None:
result['InstanceUsedCpu'] = self.instance_used_cpu
if self.instance_used_gpu is not None:
result['InstanceUsedGpu'] = self.instance_used_gpu
if self.instance_used_gpu_memory is not None:
result['InstanceUsedGpuMemory'] = self.instance_used_gpu_memory
if self.instance_used_memory is not None:
result['InstanceUsedMemory'] = self.instance_used_memory
if self.region is not None:
result['Region'] = self.region
if self.zone is not None:
result['Zone'] = self.zone
return result