Convert MLX shared variable updates back to numpy arrays - #2378
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jessegrabowski wants to merge 4 commits into
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Convert MLX shared variable updates back to numpy arrays#2378jessegrabowski wants to merge 4 commits into
jessegrabowski wants to merge 4 commits into
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The value written into a shared variable's container outlives the call and may later be read by a function compiled for another backend, so JITLinker.output_filter is applied to update outputs while returned outputs keep their native backend type.
jessegrabowski
requested review from
cetagostini,
juanitorduz,
ricardoV94 and
williambdean
August 25, 2026 00:24
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@juanitorduz tagged you because i was thinking about #2375, wondering if the solution to that wasn't also similar to this, adjustment of the linker behavior in a certain case for a certain backend. |
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Check out #2285 You don't always care about cross backend compatibility so it offers an escape. It's also lazy, only done when a different backend would actually read it. Still worrried about overhead though. |
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Function.__call__writes an update straight into the shared variable's storage slot, bypassing the container's filter, so after one MLX call the shared variable holds anmx.arrayinstead of an ndarray.get_value()then returns a device array even withborrow=False, and passing that shared variable to a function compiled for another backend fails outright - a plain numba graph raises aTypingErroron it.JITLinker.output_filteralready existed for this and was dead code, called by nothing. It's now applied to the outputs named infgraph.update_mapping, andMLXLinkeroverrides it. Values returned to the caller still come back asmx.array; only what gets stored back in a container is converted. Backends that don't override the hook run the same thunk as before.