Chapter 31
runtime/training
github.com/openfluke/welvet/runtime/training✅
Why it exists
Suites and small nets need MSE+SGD and tween hooks without inventing an external trainer.
What it is
MSE/MSEGrad, SGD, Step, ApplyTween/StepTween, StepMesh. No QAT dual path — storage dtype is truth.
Go example
Run:
cd welvet/examples/31-training && source ../env.sh && go run .package main
import (
"fmt"
"github.com/openfluke/welvet/architecture"
"github.com/openfluke/welvet/core"
"github.com/openfluke/welvet/layers/dense"
"github.com/openfluke/welvet/runtime/forward"
"github.com/openfluke/welvet/runtime/training"
)
func main() {
g := architecture.NewGrid(1, 1, 1, 1)
l, _ := dense.New(4, 4, core.ActivationLinear, core.DTypeFloat32)
_ = dense.Place(g, 0, 0, 0, 0, l)
fwd, _ := forward.Forward(g, core.NewTensor[float32](1, 4))
loss, err := training.Step(fwd, core.NewTensor[float32](1, 4), 1e-2)
fmt.Println(loss, err)
}
Output
0 <nil>