Declare this machine's GPUs from serve, and refuse a bad limit as a flag
GPU count is not detected, so FLOW_GPUS was 0 on a fresh install and a node asking for one was silently clamped to zero and ran concurrently with every other. Setting the variable serialised them, but it was an environment variable only — `serve` had --max-runs and --max-workers and no --gpus. The clamp warning now names the flag when nothing here declares a card. The same flags are written into the environment before the settings are built, so a value they refused died in a pydantic import naming no flag. They are checked where they are typed instead. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019Hra4ndWMCLU5F3KjUuVAc
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@@ -215,9 +215,18 @@ class Placer:
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said = [shape[2] for shape in capable if shape[2]]
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ram = min(ram, max(said)) if said and ram else ram
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if (cpus, gpus, ram) != (wanted.cpus, wanted.gpus, wanted.ram or 0):
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# Cards are not detected, so a machine that has one still reports
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# none until it is told — which reads as "no GPU here" to a node
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# that then runs unserialised beside every other one.
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hint = (
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"; no machine here declares a GPU — `fluksio serve --gpus N` "
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"(or FLOW_GPUS) says how many this one has"
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if wanted.gpus and not gpus
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else ""
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)
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logger.warning(
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"%s asked for %d cpu(s), %d gpu(s) and %s MB; "
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"the largest machine here can give %d, %d and %s",
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"the largest machine here can give %d, %d and %s%s",
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node or "a node",
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wanted.cpus,
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wanted.gpus,
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@@ -225,6 +234,7 @@ class Placer:
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cpus,
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gpus,
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ram or "no stated",
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hint,
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)
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return cpus, gpus, ram
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