mindspore.hal.max_memory_allocated

mindspore.hal.max_memory_allocated(device_target=None)[source]

Return the peak memory size of the memory pool actually occupied by Tensor since the process was started. This api will be deprecated and removed in future versions, please use the api mindspore.runtime.max_memory_allocated() instead.

Note

For the CPU device, 0 is always returned.

Parameters:: device_target (str, optional) – The target device specified, should be one of "CPU" , "GPU" and "Ascend" . Default None , represents the current device set by context.
Returns:: int, in Byte.

Examples

>>> import mindspore
>>> a = mindspore.tensor(mindspore.ops.ones([1, 2]), mindspore.float32)
>>> b = mindspore.tensor(mindspore.ops.ones([1, 2]), mindspore.float32)
>>> c = mindspore.ops.add(a, b).asnumpy()
>>> print(mindspore.hal.max_memory_allocated())
1536