Cpu memory optimization #3845
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Cpu memory optimization #3845
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narendasan
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Oct 6, 2025
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| interpreter_result = interpreter.run() | ||
| # Delete the frozen parameters from the module to release CPU memory |
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Can we gate this by the same env variable as the malloc_trim?
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Do you mean something like
export low_RAM_mode=1 python flux.py or build env variable?
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I would say something like export TORCHTRT_USE_MALLOC_TRIM=1 python flux.py and the goal would be for this to go away in 2.11 and be merged into prioritize_host_memory_consumption=True
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| # Move the weights in the state_dict to CPU | ||
| if offload_module_to_cpu: | ||
| deallocate_module(gm, delete_module=False) |
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| # Here we delete the frozen parameters from the graph module. Note this does not affect the submodules. We are going to delete the frozen parameters from the submodules in the convert_module function. | ||
| # This is done to release CPU memory. | ||
| for attr in dir(gm): |
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Lets make this opt in similar to malloc trim
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Shouldn't this be cleared no matter what?
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Description
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