Index
HeliosAOT Memory API
The memory module performs memory management and planning tasks of AIR models.
It provides classes and functions to handle memory allocation, tensor lifetimes, and operator scheduling.
- Computing tensor lifetimes: This involves determining the lifetime of each tensor in the network graph, which is essential for memory management.
- Operator scheduling: This involves determining the order in which operators should be executed to optimize memory usage and performance.
- Memory allocation: This involves allocating memory for the tensors based on their lifetimes and the order of operator execution.
Available Memory Planners
The AirMemoryPlanner class provides a common interface for all memory planners, and each subclass implements a specific memory planning algorithm.
- GreedyMemoryPlanner: A greedy algorithm that allocates memory for tensors based on their lifetimes and the order of operator execution. This planner currently uses the default operator order from the model.
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