compute.graph · thing · Updated 2026-09-09

graphTrainingPlan

A graph training plan record carrying name, executionPlan, gradient, optimizer, checkpoint, and related state.

computecompute.graphcpugraphmethodsource-examplethingyeho

Describe compute work as an explicit graph with package-owned validation and scheduling metadata.

external thing graphTrainingPlan

Status: source-declared

Fields and methods (15)

text name: Stores name as text.
graphExecutionPlan executionPlan: Stores execution plan as graphExecutionPlan.
graphGradientSpec gradient: Stores gradient as graphGradientSpec.
graphOptimizerState optimizer: Stores optimizer as graphOptimizerState.
graphCheckpointPolicy checkpoint: Stores checkpoint as graphCheckpointPolicy.
graphReproducibilitySettings reproducibility: Stores reproducibility as graphReproducibilitySettings.
text datasetKey: Stores dataset key as text.
text note: Stores note as text.
graphTrainingPlan(text name, graphExecutionPlan executionPlan, graphGradientSpec gradient, graphOptimizerState optimizer, graphCheckpointPolicy checkpoint, graphReproducibilitySettings reproducibility, text datasetKey, text note): Graph training plan.
CanResume() returns bool: Can resume. Complete example
CanReuseCache() returns bool: Can reuse cache. Complete example
HasFallback() returns bool: Has fallback. Complete example
CacheKey() returns text: Cache key. Complete example
ReproducibilityKey() returns text: Reproducibility key. Complete example
Describe() returns text: Describe. Complete example

Use graphTrainingPlan

A complete small caller. Values are illustrative; check the returned result and package requirements before connecting live resources.

cpu · source-example · type checked

using compute.graph

// Describe compute work as an explicit graph with package-owned validation and scheduling metadata.
graphTrainingPlan sample = graphTrainingPlan("Nova", graphExecutionPlan("Nova", graphModel("Nova", "model Kind", [], [], "note"), graphCachePolicy("key", "scope", true, true, "note"), graphFallbackPolicy("primary Path", "fallback Path", "reason", true, true, "note"), graphSchedulerRule("Nova", "path Order", "fusion Rule", "cache Rule", "note"), "note"), graphGradientSpec("Nova", "loss Kind", "target Kind", 1, true, "note"), graphOptimizerState("key", "optimizer Kind", "learning Rate", "momentum", "weight Decay", 1, "note"), graphCheckpointPolicy("key", "png", "location", true, true, true, 1, "note"), graphReproducibilitySettings("key", 1, true, true, true, "backend Policy", "note"), "dataset Key", "note")
Console.Log(Text.From(sample.name))

project.mech

manifestVersion = "2"
package = "api.example.compute_graph__graphtrainingplan"
version = "0.1.0"
languageEdition = "yeho-core-2026.1"

[app]
kind = "headless"

[[dependencies]]
package = "compute.buffer"
version = "0.1.0"
path = "../../../yeho/packages/compute/buffer"

[[dependencies]]
package = "compute.device"
version = "0.1.0"
path = "../../../yeho/packages/compute/device"

[[dependencies]]
package = "compute.graph"
version = "0.1.0"
path = "../../../yeho/packages/compute/graph"

[[dependencies]]
package = "compute.kernels"
version = "0.1.0"
path = "../../../yeho/packages/compute/kernels"

[[dependencies]]
package = "compute.tensor"
version = "0.1.0"
path = "../../../yeho/packages/compute/tensor"

[[dependencies]]
package = "console"
version = "0.1.0"
path = "../../../yeho/packages/console"

[[dependencies]]
package = "diagnostics"
version = "0.1.0"
path = "../../../yeho/packages/diagnostics"