[python][utils] MemRef Manager #20
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The example could be refactored into a proper test once we settle down on a testing strategy. |
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rolfmorel
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Looks interesting! Here's a first pass.
Adds a utility for manual memory management of memref buffers across
Python and jitted MLIR modules.
Explicit memory management becomes required when an MLIR function
returns a newly allocated buffer e.g., results of a computation.
This can become a complex task due to difference in memory models
between Python and the MLIR runtime allocators.
By default, returned MLIR buffers' lifetime cannot be automatically
managed by the Python environment.
The Python memref manager aims to address the following challenges:
- use of the same runtime allocators as a jitted MLIR module for
consistent memory management
- lean abstraction using memref descriptors directly
- buffers usable both by Python and jitted MLIR modules
Current implementation assumes that memref allocation ops are lowered
to standard C functions, like 'malloc' and 'free', which are preloaded
together with the Python process.
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Adds a utility for manual memory management of memref buffers across Python and jitted MLIR modules.
Explicit memory management becomes required when an MLIR function returns a newly allocated buffer e.g., results of a computation. This can become a complex task due to difference in memory models between Python and the MLIR runtime allocators.
By default, returned MLIR buffers' lifetime cannot be automatically managed by the Python environment.
The Python memref manager aims to address the following challenges:
Current implementation assumes that memref allocation ops are lowered to standard C functions, like 'malloc' and 'free', which are preloaded together with the Python process.