Make HOURS_VALUES a host array to avoid import-time GPU preallocation#13
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hmgaudecker wants to merge 1 commit into
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Make HOURS_VALUES a host array to avoid import-time GPU preallocation#13hmgaudecker wants to merge 1 commit into
hmgaudecker wants to merge 1 commit into
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The module-level `HOURS_VALUES = jnp.array(...)` materialized on the default device at import. With XLA_PYTHON_CLIENT_PREALLOCATE=true that first array op reserves 95% of device 0 in every process that imports the model — including the MSM estimation's pytask orchestrator, which only `srun`s GPU ranks and must leave the devices free for them. The orchestrator thus starved the rank's pool reservation, surfacing as the device-0 OOM. Make HOURS_VALUES a host (NumPy) array, converted to JAX at the indexing sites where the value folds into the surrounding compiled function. No numerical change. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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HOURS_VALUES = jnp.array(...)was a module-level JAX array: importing the model materialized it on the default device, and underXLA_PYTHON_CLIENT_PREALLOCATE=truethat first array op reserved 95% of device 0 in every importing process — including the MSM estimation's pytask orchestrator, which onlysruns GPU ranks and must leave the devices free. The orchestrator thus starved the rank's pool reservation (the device-0 OOM). Made it a host (NumPy) array, converted to JAX at the indexing sites. No numerical change.🤖 Generated with Claude Code