max_memory_reserved¶
- paddle.device.cuda. max_memory_reserved ( device=None ) [source]
- 
         Return the peak size of GPU memory that is held by the allocator of the given device. - Parameters
- 
           device (paddle.CUDAPlace or int or str) – The device, the id of the device or the string name of device like ‘gpu:x’. If device is None, the device is the current device. Default: None. 
- Returns
- 
           The peak size of GPU memory that is held by the allocator of the given device, in bytes. 
- Return type
- 
           int 
 Examples # required: gpu import paddle max_memory_reserved_size = paddle.device.cuda.max_memory_reserved(paddle.CUDAPlace(0)) max_memory_reserved_size = paddle.device.cuda.max_memory_reserved(0) max_memory_reserved_size = paddle.device.cuda.max_memory_reserved("gpu:0") 
