Document the two codebases that inform the ShaderGenerator's op table
and the wgpu+handlebars+remote-GPU patterns:
- wonnx (MIT/Apache-2.0, archived): comprehensive ONNX op set in
Tera-templated WGSL at wonnx/templates/ — arithmetic, activation,
gemm, conv, batchnorm, softmax, etc. Port the shader implementations,
swap Tera for handlebars. compiler.rs's add_raw_template +
include_str! pattern maps 1:1 to handlebars-rs register_template_string.
- Handlebars + wgpu + remote-GPU patterns (private reference, patterns
reusable): validates the handlebars-rs side and the vast.ai deployment
shape. Patterns carried over: {{> partial}} includes for shared
fragments, inline-able constant tables via switch statements (SHA-256
k-values, universal across wgpu versions), default-valued template
parameters, wgpu-on-remote-GPU sync. sha256 as a base shader
demonstrating non-ML compute on the same dispatch surface.
Updated the WGSL codegen probe POC to reference wonnx's op set as the
porting source.
Extract the shared JS+wgpu substrate (verified by the alknet-desktop POCs)
as alknet-runtime — the generalized QuickJS-NG + wgpu runtime that both
alknet-desktop (render) and alknet-compute (tensor compute) build on. Key
property driving the split: wgpu on llvmpipe is genuinely useful compute
with no physical GPU (WGSL → optimized SIMD beats JS for non-trivial
workloads), so wgpu is unconditional in the runtime rather than a feature
flag.
Reframes the original alknet-tensor architecture-summary as alknet-compute
(builds on alknet-runtime + alknet-tensor) with ShaderGenerator as a trait
(WGSL first impl, SPIR-V/GLSL/naga-IR later per wgpu multi-input-language
support). alknet-tensor/metatensor-format.md is now clearly the pure binary
format crate (no JS or wgpu dep), usable standalone by a pure-Rust model
server.
Layering: alknet-runtime depends on alknet-call (registry authority stays
per ADR-013); alknet-compute and alknet-desktop depend on alknet-runtime;
alknet-tensor is a pure-format sibling.
