mindspore.hal

Hal encapsulates interfaces for device, stream, event, and memory. MindSpore abstracts the corresponding modules from different backends, allowing users to schedule hardware resources at the Python layer.

Device

`mindspore.hal.device_count`	Returns device count of specified backend.
`mindspore.hal.get_arch_list`	Get the architecture list this MindSpore was compiled for.
`mindspore.hal.get_device_capability`	Get specified device's capability.
`mindspore.hal.get_device_name`	Get specified device's name.
`mindspore.hal.get_device_properties`	Get specified device's properties.
`mindspore.hal.is_available`	Returns whether specified backend is available.
`mindspore.hal.is_initialized`	Returns whether specified backend is initialized.

Stream

`mindspore.hal.communication_stream`	Return communication stream on this device.
`mindspore.hal.current_stream`	Return current stream used on this device.
`mindspore.hal.default_stream`	Return default stream on this device.
`mindspore.hal.set_cur_stream`	Sets the current stream.
`mindspore.hal.synchronize`	Synchronize all streams on current device.(Each MindSpore process only occupies one device)
`mindspore.hal.Stream`	Wrapper around a device stream.
`mindspore.hal.StreamCtx`	Context-manager that selects a given stream.

Event

mindspore.hal.Event

Wrapper around a device event.

Memory

`mindspore.hal.contiguous_tensors_handle.combine_tensor_list_contiguous`	Return a contiguous memory handle where contiguous memory has been requested and slicing functionality is provided.
`mindspore.hal.contiguous_tensors_handle.ContiguousTensorsHandle`	ContiguousTensorsHandle is a handle manage continuous memory.
`mindspore.hal.max_memory_allocated`	Returns the peak memory size of the memory pool actually occupied by Tensor since the process was started.
`mindspore.hal.max_memory_reserved`	Returns the peak value of the total memory managed by the memory pool since the process was started.
`mindspore.hal.memory_allocated`	Returns the actual memory size currently occupied by Tensor.
`mindspore.hal.memory_reserved`	Returns the total amount of memory currently managed by the memory pool.
`mindspore.hal.memory_stats`	Returns status information queried from the memory pool.
`mindspore.hal.memory_summary`	Returns readable memory pool status information.
`mindspore.hal.reset_max_memory_reserved`	Reset the peak memory size managed by the memory pool.
`mindspore.hal.reset_max_memory_allocated`	Reset the peak memory size of the memory pool actually occupied by Tensor.
`mindspore.hal.reset_peak_memory_stats`	Reset the "peak" stats tracked by memory manager.
`mindspore.hal.empty_cache`	Release all memory fragments in the memory pool, so that memory arrangement will be optimized.