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zeekay
074efd95c7
The Rust twin of hanzoai/flow/core (Go): the ONE parametric step-DAG engine, now native. Dependency-free (std only) so it drops into hanzo-desktop (local/private, low memory) and the cloud unchanged — the SAME library builds/tests a flow locally on BYO GPU and runs/schedules it in the cloud, surfaced via studio.hanzo.ai / flow.hanzo.ai. Contract (1:1 with the Go core, so they stay in lockstep): - Value (Arc<dyn Value>, zero-copy hand-off — the point for GPU tensors), Port, Step - Graph (add/wire/validate — port typecheck + acyclicity, deterministic Kahn topo) - Mode (InProcess | GpuResident | Durable) + Backend — the locality/durability seam where hanzo-ml / hanzo-fusion on hanzo-engine plug in as the GpuResident backend - Scheduler — the one topology walk, curried over (value-domain, Mode) Verified: cargo build clean, cargo test 5/5 (domain-agnostic pipeline runs in order, port type mismatch rejected at wire time, ANY_TYPE bypasses, cycle caught by validate, Mode selects the backend), clippy clean. This is step 1 of the Rust migration: the engine. Node-packs (mechanically porting the Python flow/comfy nodes -> Rust steps on hanzo-ml/hanzo-fusion), the GpuResident backend on hanzo-engine, and studio's canvas on this engine build on top.
16 lines
617 B
TOML
16 lines
617 B
TOML
[package]
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name = "flow-core"
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version = "0.1.0"
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edition = "2021"
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rust-version = "1.88"
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description = "The one parametric step-DAG engine — Rust core. Std-only, embeddable: runs flows natively in hanzo-desktop (local/private) and the cloud, with pluggable backends (hanzo-ml/hanzo-fusion on hanzo-engine for GPU)."
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license = "MIT"
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[lib]
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name = "flow_core"
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# Intentionally dependency-free: the core is a small, embeddable library so it drops
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# into hanzo-desktop (low memory) and the cloud unchanged. Compute (hanzo-ml,
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# hanzo-fusion, hanzo-engine) plugs in via the Backend trait, not as a core dep.
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[dependencies]
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