more work on the expadable models
This commit is contained in:
parent
d08a0a2a4c
commit
70b4141223
5
auto_reload.sh
Executable file
5
auto_reload.sh
Executable file
@ -0,0 +1,5 @@
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#!/bin/fish
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cd $(dirname "$0")
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go run .
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@ -17,6 +17,7 @@ import (
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model_classes "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/classes"
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. "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/utils"
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. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
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"github.com/charmbracelet/log"
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)
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const EPOCH_PER_RUN = 20
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@ -198,6 +199,151 @@ func trainDefinition(c *Context, model *BaseModel, definition_id string, load_pr
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return
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}
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func trainDefinitionExp(c *Context, model *BaseModel, definition_id string, load_prev bool) (accuracy float64, err error) {
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accuracy = 0
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c.Logger.Warn("About to start training definition")
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// Get untrained models heads
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// Status = 2 (INIT)
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rows, err := c.Db.Query("select id, range_start, range_end exp_model_head where def_id=$1 and status = 2", definition_id)
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if err != nil {
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return
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}
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defer rows.Close()
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type ExpHead struct {
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id string
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start int
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end int
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}
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exp := ExpHead{}
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if rows.Next() {
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if err = rows.Scan(&exp.id, &exp.start, &exp.end); err == nil {
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return
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}
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} else {
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log.Error("Failed to get the exp head of the model")
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err = errors.New("Failed to get the exp head of the model")
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return
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}
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if rows.Next() {
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log.Error("This training function can only train one model at the time")
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err = errors.New("This training function can only train one model at the time")
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return
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}
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layers, err := c.Db.Query("select layer_type, shape from model_definition_layer where def_id=$1 order by layer_order asc;", definition_id)
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if err != nil {
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return
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}
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defer layers.Close()
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type layerrow struct {
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LayerType int
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Shape string
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}
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got := []layerrow{}
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for layers.Next() {
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var row = layerrow{}
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if err = layers.Scan(&row.LayerType, &row.Shape); err != nil {
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return
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}
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row.Shape = shapeToSize(row.Shape)
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got = append(got, row)
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}
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got = append(got, layerrow{
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LayerType: LAYER_DENSE,
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Shape: fmt.Sprintf("%d", exp.end - exp.start),
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})
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// Generate run folder
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run_path := path.Join("/tmp", model.Id, "defs", definition_id)
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err = os.MkdirAll(run_path, os.ModePerm)
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if err != nil {
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return
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}
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defer os.RemoveAll(run_path)
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_, err = generateCvs(c, run_path, model.Id)
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if err != nil {
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return
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}
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// TODO update the run script
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// Create python script
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f, err := os.Create(path.Join(run_path, "run.py"))
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if err != nil {
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return
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}
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defer f.Close()
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tmpl, err := template.New("python_model_template.py").ParseFiles("views/py/python_model_template.py")
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if err != nil {
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return
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}
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// Copy result around
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result_path := path.Join("savedData", model.Id, "defs", definition_id)
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if err = tmpl.Execute(f, AnyMap{
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"Layers": got,
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"Size": got[0].Shape,
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"DataDir": path.Join(getDir(), "savedData", model.Id, "data"),
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"RunPath": run_path,
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"ColorMode": model.ImageMode,
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"Model": model,
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"EPOCH_PER_RUN": EPOCH_PER_RUN,
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"DefId": definition_id,
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"LoadPrev": load_prev,
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"LastModelRunPath": path.Join(getDir(), result_path, "model.keras"),
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"SaveModelPath": path.Join(getDir(), result_path),
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}); err != nil {
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return
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}
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// Run the command
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out, err := exec.Command("bash", "-c", fmt.Sprintf("cd %s && python run.py", run_path)).CombinedOutput()
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if err != nil {
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c.Logger.Debug(string(out))
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return
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}
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c.Logger.Info("Python finished running")
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if err = os.MkdirAll(result_path, os.ModePerm); err != nil {
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return
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}
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accuracy_file, err := os.Open(path.Join(run_path, "accuracy.val"))
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if err != nil {
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return
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}
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defer accuracy_file.Close()
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accuracy_file_bytes, err := io.ReadAll(accuracy_file)
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if err != nil {
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return
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}
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accuracy, err = strconv.ParseFloat(string(accuracy_file_bytes), 64)
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if err != nil {
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return
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}
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c.Logger.Info("Model finished training!", "accuracy", accuracy)
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return
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}
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func remove[T interface{}](lst []T, i int) []T {
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lng := len(lst)
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if i >= lng {
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@ -433,7 +579,7 @@ func trainModel(c *Context, model *BaseModel) {
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}
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func trainModelExp(c *Context, model *BaseModel) {
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var err error = nil
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var err error = nil
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failed := func(msg string) {
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c.Logger.Error(msg, "err", err)
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@ -442,7 +588,7 @@ func trainModelExp(c *Context, model *BaseModel) {
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definitionsRows, err := c.Db.Query("select id, target_accuracy, epoch from model_definition where status=$1 and model_id=$2", MODEL_DEFINITION_STATUS_INIT, model.Id)
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if err != nil {
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failed("Failed to trainModel!")
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failed("Failed to trainModel!")
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return
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}
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defer definitionsRows.Close()
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@ -474,7 +620,7 @@ func trainModelExp(c *Context, model *BaseModel) {
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var toRemove ToRemoveList = []int{}
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for i, def := range definitions {
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ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_TRAINING)
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accuracy, err := trainDefinition(c, model, def.id, !firstRound)
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accuracy, err := trainDefinitionExp(c, model, def.id, !firstRound)
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if err != nil {
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c.Logger.Error("Failed to train definition!Err:", "err", err)
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ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
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@ -797,23 +943,23 @@ func generateDefinitions(c *Context, model *BaseModel, target_accuracy int, numb
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}
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func CreateExpModelHead(c *Context, def_id string, range_start int, range_end int, status ModelDefinitionStatus) (id string, err error) {
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rows, err := c.Db.Query("insert into exp_model_head (def_id, range_start, range_end) values ($1, $2, $3, $4) returning id", def_id, range_start, range_end, status)
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rows, err := c.Db.Query("insert into exp_model_head (def_id, range_start, range_end) values ($1, $2, $3, $4) returning id", def_id, range_start, range_end, status)
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if err != nil {
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return
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}
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defer rows.Close()
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if !rows.Next() {
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c.Logger.Error("Could not get status of model definition")
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err = errors.New("Could not get status of model definition")
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return
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}
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if !rows.Next() {
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c.Logger.Error("Could not get status of model definition")
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err = errors.New("Could not get status of model definition")
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return
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}
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err = rows.Scan(&id)
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if err != nil {
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return
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}
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if err != nil {
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return
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}
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return
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}
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@ -833,7 +979,7 @@ func generateExpandableDefinition(c *Context, model *BaseModel, target_accuracy
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}
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if complexity == 0 {
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return failed()
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return failed()
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}
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def_id, err := MakeDefenition(c.Db, model.Id, target_accuracy)
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@ -843,8 +989,8 @@ func generateExpandableDefinition(c *Context, model *BaseModel, target_accuracy
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order := 1
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width := model.Width
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height := model.Height
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width := model.Width
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height := model.Height
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// Note the shape of the first layer defines the import size
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if complexity == 2 {
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@ -853,62 +999,62 @@ func generateExpandableDefinition(c *Context, model *BaseModel, target_accuracy
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height := int(math.Pow(2, math.Floor(math.Log(float64(model.Height))/math.Log(2.0))))
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c.Logger.Warn("Complexity 2 creating model with smaller size", "width", width, "height", height)
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}
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}
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err = MakeLayerExpandable(c.Db, def_id, order, LAYER_INPUT, fmt.Sprintf("%d,%d,1", width, height), 1)
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err = MakeLayerExpandable(c.Db, def_id, order, LAYER_INPUT, fmt.Sprintf("%d,%d,1", width, height), 1)
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order++
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// handle the errors inside the pervious if block
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if err != nil {
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return failed()
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}
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// Create the blocks
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loop := int((math.Log(float64(model.Width)) / math.Log(float64(10))))
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if loop == 0 {
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loop = 1
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}
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for i := 0; i < loop; i++ {
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err = MakeLayerExpandable(c.Db, def_id, order, LAYER_SIMPLE_BLOCK, "", 1)
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order++
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if err != nil {
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return failed()
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}
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}
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// Flatten the blocks into dense
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err = MakeLayerExpandable(c.Db, def_id, order, LAYER_FLATTEN, "", 1)
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if err != nil {
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return failed()
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}
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order++
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// handle the errors inside the pervious if block
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if err != nil {
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return failed()
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}
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// Flatten the blocks into dense
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err = MakeLayerExpandable(c.Db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes * 2), 1)
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if err != nil {
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return failed()
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}
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order++
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// Create the blocks
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loop := int((math.Log(float64(model.Width)) / math.Log(float64(10))))
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if loop == 0 {
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loop = 1
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}
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loop = int((math.Log(float64(number_of_classes)) / math.Log(float64(10))) / 2)
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if loop == 0 {
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loop = 1
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}
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for i := 0; i < loop; i++ {
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err = MakeLayerExpandable(c.Db, def_id, order, LAYER_SIMPLE_BLOCK, "", 1)
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order++
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if err != nil {
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return failed()
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}
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}
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for i := 0; i < loop; i++ {
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err = MakeLayer(c.Db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes*(loop-i)))
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order++
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if err != nil {
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return failed()
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}
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}
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// Flatten the blocks into dense
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err = MakeLayerExpandable(c.Db, def_id, order, LAYER_FLATTEN, "", 1)
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if err != nil {
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return failed()
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}
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order++
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_, err = CreateExpModelHead(c, def_id, 0, number_of_classes - 1, MODEL_DEFINITION_STATUS_INIT)
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if err != nil {
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return failed()
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}
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// Flatten the blocks into dense
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err = MakeLayerExpandable(c.Db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes*2), 1)
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if err != nil {
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return failed()
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}
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order++
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loop = int((math.Log(float64(number_of_classes)) / math.Log(float64(10))) / 2)
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if loop == 0 {
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loop = 1
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}
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for i := 0; i < loop; i++ {
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err = MakeLayer(c.Db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes*(loop-i)))
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order++
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if err != nil {
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return failed()
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}
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}
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_, err = CreateExpModelHead(c, def_id, 0, number_of_classes-1, MODEL_DEFINITION_STATUS_INIT)
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if err != nil {
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return failed()
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}
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err = ModelDefinitionUpdateStatus(c, def_id, MODEL_DEFINITION_STATUS_INIT)
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if err != nil {
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@ -980,15 +1126,15 @@ func handleTrain(handle *Handle) {
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if model_type_form == "expandable" {
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model_type_id = 2
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c.Logger.Warn("TODO: handle expandable")
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return c.Error400(nil, "TODO: handle expandable!", w, "/models/edit.html", "train-model-card", AnyMap{
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"HasData": true,
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"ErrorMessage": "TODO: handle expandable!",
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})
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return c.Error400(nil, "TODO: handle expandable!", w, "/models/edit.html", "train-model-card", AnyMap{
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"HasData": true,
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"ErrorMessage": "TODO: handle expandable!",
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})
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} else if model_type_form != "simple" {
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return c.Error400(nil, "Invalid model type!", w, "/models/edit.html", "train-model-card", AnyMap{
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"HasData": true,
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"ErrorMessage": "Invalid model type!",
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})
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return c.Error400(nil, "Invalid model type!", w, "/models/edit.html", "train-model-card", AnyMap{
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"HasData": true,
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"ErrorMessage": "Invalid model type!",
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})
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}
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model, err := GetBaseModel(handle.Db, id)
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@ -1007,28 +1153,31 @@ func handleTrain(handle *Handle) {
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return ErrorCode(nil, 400, c.AddMap(nil))
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}
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if model_type_id == 2 {
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full_error := generateExpandableDefinitions(c, model, accuracy, number_of_models)
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if full_error != nil {
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return full_error
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}
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} else {
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full_error := generateDefinitions(c, model, accuracy, number_of_models)
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if full_error != nil {
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return full_error
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}
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}
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if model_type_id == 2 {
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full_error := generateExpandableDefinitions(c, model, accuracy, number_of_models)
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if full_error != nil {
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return full_error
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}
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} else {
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full_error := generateDefinitions(c, model, accuracy, number_of_models)
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if full_error != nil {
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return full_error
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}
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}
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if model_type_id == 2 {
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go trainModelExp(c, model)
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} else {
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go trainModel(c, model)
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}
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go trainModel(c, model)
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_, err = c.Db.Exec("update models set status = $1, model_type = $2 where id = $3", TRAINING, model_type_id, model.Id)
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if err != nil {
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fmt.Println("Failed to update model status")
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fmt.Println(err)
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_, err = c.Db.Exec("update models set status = $1, model_type = $2 where id = $3", TRAINING, model_type_id, model.Id)
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if err != nil {
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fmt.Println("Failed to update model status")
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fmt.Println(err)
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// TODO improve this response
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return Error500(err)
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}
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}
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Redirect("/models/edit?id="+model.Id, c.Mode, w, r)
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return nil
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})
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@ -636,7 +636,7 @@ func NewHandler(db *sql.DB) *Handle {
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}
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func (x Handle) Startup() {
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fmt.Printf("Starting up!\n")
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log.Info("Starting up!\n")
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port := os.Getenv("PORT")
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if port == "" {
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