1. What Welvet is

Part: I · Orientation
Package: github.com/openfluke/welvet
Status: ok — ✅ engine

When

You need github.com/openfluke/welvet.

Where

import "github.com/openfluke/welvet/github.com/openfluke/welvet"

cd 01-welvet && source ../env.sh && go run .

Why

Loom’s flat poly/ package hit import-cycle and honesty walls (QAT morph, silent fallbacks, god-layer). Welvet is the rewrite: one feature per folder, storage-truth dtypes/quants, Dense as the shared MatVec microkernel, tests only in w2a, apps only in apps/.

What

An AI engine in Go: layers, 34 dtypes, 20 quant formats, and three backends (CPU tiled · Plan 9 SIMD · WebGPU). Version tracks a 100-point scorecard (today v1.1.0 · 100/100).

Sample output (captured)

pre 4 post 4

Live capture from go run ./cmd/runall on local ../../welvet (exit 0).

Source

Copied from the Welvet feature book examples (openfluke.github.io/welvet/examples/01-welvet).

package main

import (
	"fmt"

	"github.com/openfluke/welvet/core"
	"github.com/openfluke/welvet/layers/dense"
)

func main() {
	l, err := dense.New(8, 4, core.ActivationReLU, core.DTypeFloat32)
	if err != nil {
		panic(err)
	}
	l.Exec.Backend = core.BackendCPUTiled

	x := core.NewTensor[float32](1, 8)
	for i := range x.Data {
		x.Data[i] = float32(i) * 0.1
	}
	pre, post, err := dense.Forward(l, x)
	if err != nil {
		panic(err)
	}
	fmt.Println("pre", len(pre.Data), "post", len(post.Data))
}