chore: update to go packages versions

go.mod

@@ -1,23 +1,27 @@
 module git.andr3h3nriqu3s.com/andr3/fyp
 
-go 1.20
+go 1.21
+
+require (
+	github.com/charmbracelet/log v0.3.1
+	github.com/galeone/tensorflow/tensorflow/go v0.0.0-20240119075110-6ad3cf65adfe
+	github.com/galeone/tfgo v0.0.0-20230715013254-16113111dc99
+	github.com/google/uuid v1.6.0
+	github.com/lib/pq v1.10.9
+	golang.org/x/crypto v0.18.0
+)
 
 require (
 	github.com/aymanbagabas/go-osc52/v2 v2.0.1 // indirect
-	github.com/charmbracelet/lipgloss v0.8.0 // indirect
+	github.com/charmbracelet/lipgloss v0.9.1 // indirect
-	github.com/charmbracelet/log v0.2.5 // indirect
-	github.com/galeone/tensorflow/tensorflow/go v0.0.0-20221023090153-6b7fa0680c3e // indirect
-	github.com/galeone/tfgo v0.0.0-20230715013254-16113111dc99 // indirect
 	github.com/go-logfmt/logfmt v0.6.0 // indirect
-	github.com/google/uuid v1.3.1 // indirect
-	github.com/lib/pq v1.10.9 // indirect
 	github.com/lucasb-eyer/go-colorful v1.2.0 // indirect
-	github.com/mattn/go-isatty v0.0.18 // indirect
+	github.com/mattn/go-isatty v0.0.20 // indirect
-	github.com/mattn/go-runewidth v0.0.14 // indirect
+	github.com/mattn/go-runewidth v0.0.15 // indirect
 	github.com/muesli/reflow v0.3.0 // indirect
 	github.com/muesli/termenv v0.15.2 // indirect
-	github.com/rivo/uniseg v0.2.0 // indirect
+	github.com/rivo/uniseg v0.4.6 // indirect
-	golang.org/x/crypto v0.13.0 // indirect
+	golang.org/x/exp v0.0.0-20240119083558-1b970713d09a // indirect
-	golang.org/x/sys v0.12.0 // indirect
+	golang.org/x/sys v0.16.0 // indirect
-	google.golang.org/protobuf v1.28.1 // indirect
+	google.golang.org/protobuf v1.32.0 // indirect
 )

go.sum

@@ -2,10 +2,16 @@ github.com/aymanbagabas/go-osc52/v2 v2.0.1 h1:HwpRHbFMcZLEVr42D4p7XBqjyuxQH5SMiE
 github.com/aymanbagabas/go-osc52/v2 v2.0.1/go.mod h1:uYgXzlJ7ZpABp8OJ+exZzJJhRNQ2ASbcXHWsFqH8hp8=
 github.com/charmbracelet/lipgloss v0.8.0 h1:IS00fk4XAHcf8uZKc3eHeMUTCxUH6NkaTrdyCQk84RU=
 github.com/charmbracelet/lipgloss v0.8.0/go.mod h1:p4eYUZZJ/0oXTuCQKFF8mqyKCz0ja6y+7DniDDw5KKU=
+github.com/charmbracelet/lipgloss v0.9.1 h1:PNyd3jvaJbg4jRHKWXnCj1akQm4rh8dbEzN1p/u1KWg=
+github.com/charmbracelet/lipgloss v0.9.1/go.mod h1:1mPmG4cxScwUQALAAnacHaigiiHB9Pmr+v1VEawJl6I=
 github.com/charmbracelet/log v0.2.5 h1:1yVvyKCKVV639RR4LIq1iy1Cs1AKxuNO+Hx2LJtk7Wc=
 github.com/charmbracelet/log v0.2.5/go.mod h1:nQGK8tvc4pS9cvVEH/pWJiZ50eUq1aoXUOjGpXvdD0k=
+github.com/charmbracelet/log v0.3.1 h1:TjuY4OBNbxmHWSwO3tosgqs5I3biyY8sQPny/eCMTYw=
+github.com/charmbracelet/log v0.3.1/go.mod h1:OR4E1hutLsax3ZKpXbgUqPtTjQfrh1pG3zwHGWuuq8g=
 github.com/galeone/tensorflow/tensorflow/go v0.0.0-20221023090153-6b7fa0680c3e h1:9+2AEFZymTi25FIIcDwuzcOPH04z9+fV6XeLiGORPDI=
 github.com/galeone/tensorflow/tensorflow/go v0.0.0-20221023090153-6b7fa0680c3e/go.mod h1:TelZuq26kz2jysARBwOrTv16629hyUsHmIoj54QqyFo=
+github.com/galeone/tensorflow/tensorflow/go v0.0.0-20240119075110-6ad3cf65adfe h1:7yELf1NFEwECpXMGowkoftcInMlVtLTCdwWLmxKgzNM=
+github.com/galeone/tensorflow/tensorflow/go v0.0.0-20240119075110-6ad3cf65adfe/go.mod h1:TelZuq26kz2jysARBwOrTv16629hyUsHmIoj54QqyFo=
 github.com/galeone/tfgo v0.0.0-20230715013254-16113111dc99 h1:8Bt1P/zy1gb37L4n8CGgp1qmFwBV5729kxVfj0sqhJk=
 github.com/galeone/tfgo v0.0.0-20230715013254-16113111dc99/go.mod h1:3YgYBeIX42t83uP27Bd4bSMxTnQhSbxl0pYSkCDB1tc=
 github.com/go-logfmt/logfmt v0.6.0 h1:wGYYu3uicYdqXVgoYbvnkrPVXkuLM1p1ifugDMEdRi4=
@@ -14,15 +20,21 @@ github.com/golang/protobuf v1.5.0/go.mod h1:FsONVRAS9T7sI+LIUmWTfcYkHO4aIWwzhcaS
 github.com/google/go-cmp v0.5.5/go.mod h1:v8dTdLbMG2kIc/vJvl+f65V22dbkXbowE6jgT/gNBxE=
 github.com/google/uuid v1.3.1 h1:KjJaJ9iWZ3jOFZIf1Lqf4laDRCasjl0BCmnEGxkdLb4=
 github.com/google/uuid v1.3.1/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
+github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0=
+github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
 github.com/lib/pq v1.10.9 h1:YXG7RB+JIjhP29X+OtkiDnYaXQwpS4JEWq7dtCCRUEw=
 github.com/lib/pq v1.10.9/go.mod h1:AlVN5x4E4T544tWzH6hKfbfQvm3HdbOxrmggDNAPY9o=
 github.com/lucasb-eyer/go-colorful v1.2.0 h1:1nnpGOrhyZZuNyfu1QjKiUICQ74+3FNCN69Aj6K7nkY=
 github.com/lucasb-eyer/go-colorful v1.2.0/go.mod h1:R4dSotOR9KMtayYi1e77YzuveK+i7ruzyGqttikkLy0=
 github.com/mattn/go-isatty v0.0.18 h1:DOKFKCQ7FNG2L1rbrmstDN4QVRdS89Nkh85u68Uwp98=
 github.com/mattn/go-isatty v0.0.18/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
+github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
+github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
 github.com/mattn/go-runewidth v0.0.12/go.mod h1:RAqKPSqVFrSLVXbA8x7dzmKdmGzieGRCM46jaSJTDAk=
 github.com/mattn/go-runewidth v0.0.14 h1:+xnbZSEeDbOIg5/mE6JF0w6n9duR1l3/WmbinWVwUuU=
 github.com/mattn/go-runewidth v0.0.14/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
+github.com/mattn/go-runewidth v0.0.15 h1:UNAjwbU9l54TA3KzvqLGxwWjHmMgBUVhBiTjelZgg3U=
+github.com/mattn/go-runewidth v0.0.15/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
 github.com/muesli/reflow v0.3.0 h1:IFsN6K9NfGtjeggFP+68I4chLZV2yIKsXJFNZ+eWh6s=
 github.com/muesli/reflow v0.3.0/go.mod h1:pbwTDkVPibjO2kyvBQRBxTWEEGDGq0FlB1BIKtnHY/8=
 github.com/muesli/termenv v0.15.2 h1:GohcuySI0QmI3wN8Ok9PtKGkgkFIk7y6Vpb5PvrY+Wo=
@@ -30,12 +42,26 @@ github.com/muesli/termenv v0.15.2/go.mod h1:Epx+iuz8sNs7mNKhxzH4fWXGNpZwUaJKRS1n
 github.com/rivo/uniseg v0.1.0/go.mod h1:J6wj4VEh+S6ZtnVlnTBMWIodfgj8LQOQFoIToxlJtxc=
 github.com/rivo/uniseg v0.2.0 h1:S1pD9weZBuJdFmowNwbpi7BJ8TNftyUImj/0WQi72jY=
 github.com/rivo/uniseg v0.2.0/go.mod h1:J6wj4VEh+S6ZtnVlnTBMWIodfgj8LQOQFoIToxlJtxc=
+github.com/rivo/uniseg v0.4.6 h1:Sovz9sDSwbOz9tgUy8JpT+KgCkPYJEN/oYzlJiYTNLg=
+github.com/rivo/uniseg v0.4.6/go.mod h1:FN3SvrM+Zdj16jyLfmOkMNblXMcoc8DfTHruCPUcx88=
 golang.org/x/crypto v0.13.0 h1:mvySKfSWJ+UKUii46M40LOvyWfN0s2U+46/jDd0e6Ck=
 golang.org/x/crypto v0.13.0/go.mod h1:y6Z2r+Rw4iayiXXAIxJIDAJ1zMW4yaTpebo8fPOliYc=
+golang.org/x/crypto v0.18.0 h1:PGVlW0xEltQnzFZ55hkuX5+KLyrMYhHld1YHO4AKcdc=
+golang.org/x/crypto v0.18.0/go.mod h1:R0j02AL6hcrfOiy9T4ZYp/rcWeMxM3L6QYxlOuEG1mg=
+golang.org/x/exp v0.0.0-20231006140011-7918f672742d h1:jtJma62tbqLibJ5sFQz8bKtEM8rJBtfilJ2qTU199MI=
+golang.org/x/exp v0.0.0-20231006140011-7918f672742d/go.mod h1:ldy0pHrwJyGW56pPQzzkH36rKxoZW1tw7ZJpeKx+hdo=
+golang.org/x/exp v0.0.0-20240119083558-1b970713d09a h1:Q8/wZp0KX97QFTc2ywcOE0YRjZPVIx+MXInMzdvQqcA=
+golang.org/x/exp v0.0.0-20240119083558-1b970713d09a/go.mod h1:idGWGoKP1toJGkd5/ig9ZLuPcZBC3ewk7SzmH0uou08=
 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.12.0 h1:CM0HF96J0hcLAwsHPJZjfdNzs0gftsLfgKt57wWHJ0o=
 golang.org/x/sys v0.12.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
+golang.org/x/sys v0.13.0 h1:Af8nKPmuFypiUBjVoU9V20FiaFXOcuZI21p0ycVYYGE=
+golang.org/x/sys v0.13.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
+golang.org/x/sys v0.16.0 h1:xWw16ngr6ZMtmxDyKyIgsE93KNKz5HKmMa3b8ALHidU=
+golang.org/x/sys v0.16.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA=
 golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 google.golang.org/protobuf v1.26.0-rc.1/go.mod h1:jlhhOSvTdKEhbULTjvd4ARK9grFBp09yW+WbY/TyQbw=
 google.golang.org/protobuf v1.28.1 h1:d0NfwRgPtno5B1Wa6L2DAG+KivqkdutMf1UhdNx175w=
 google.golang.org/protobuf v1.28.1/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
+google.golang.org/protobuf v1.32.0 h1:pPC6BG5ex8PDFnkbrGU3EixyhKcQ2aDuBS36lqK/C7I=
+google.golang.org/protobuf v1.32.0/go.mod h1:c6P6GXX6sHbq/GpV6MGZEdwhWPcYBgnhAHhKbcUYpos=

logic/models/classes/list.go

@@ -1,7 +1,6 @@
 package model_classes
 
 import (
-	"fmt"
 	"net/http"
 	"strconv"
 
@@ -54,7 +53,7 @@ func HandleList(handle *Handle) {
             return Error500(err)
         }
 
-        rows, err := handle.Db.Query("select id, file_path, model_mode, status from model_data_point where class_id=$1 limit 10 offset $2;", id, page * 10)
+        rows, err := handle.Db.Query("select id, file_path, model_mode, status from model_data_point where class_id=$1 limit 11 offset $2;", id, page * 10)
         if err != nil {
             return Error500(err)
         }
@@ -77,31 +76,16 @@ func HandleList(handle *Handle) {
             }
             got = append(got, nrow)
         }
+
+        max_len := min(11, len(got))
         
-        rows_count, err := handle.Db.Query("select count(*) from model_data_point where class_id=$1;", id)
-        if err != nil {
-            return Error500(err)
-        }
-        defer rows_count.Close()
-
-        if !rows_count.Next() {
-            fmt.Printf("select count(*) from model_data_point where class_id='%s';\n", id)
-            return Error500(nil)
-        }
-
-        count := 0
-        err = rows_count.Scan(&count)
-        if err != nil {
-            return Error500(err)
-        }
-
         LoadDefineTemplate(w, "/models/edit.html", "data-model-create-class-table-table", c.AddMap(AnyMap{
-            "List": got,
+            "List": got[0:max_len],
-            "Count": count,
             "Page": page,
             "Id": id,
             "Name": name,
             "Model": model,
+            "ShowNext": len(got) == 11,
         }))
         return nil
     })

logic/models/train/train.go

@@ -46,6 +46,11 @@ func MakeLayer(db *sql.DB, def_id string, layer_order int, layer_type LayerType,
 	return
 }
 
+func MakeLayerExpandable(db *sql.DB, def_id string, layer_order int, layer_type LayerType, shape string, exp_type int) (err error) {
+	_, err = db.Exec("insert into model_definition_layer (def_id, layer_order, layer_type, shape, exp_type) values ($1, $2, $3, $4, $5)", def_id, layer_order, layer_type, shape, exp_type)
+	return
+}
+
 func generateCvs(c *Context, run_path string, model_id string) (count int, err error) {
 
 	classes, err := c.Db.Query("select count(*) from model_classes where model_id=$1;", model_id)
@@ -427,6 +432,205 @@ func trainModel(c *Context, model *BaseModel) {
 	ModelUpdateStatus(c, model.Id, READY)
 }
 
+func trainModelExp(c *Context, model *BaseModel) {
+    var err error = nil
+
+	failed := func(msg string) {
+		c.Logger.Error(msg, "err", err)
+		ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+	}
+
+	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)
+	if err != nil {
+        failed("Failed to trainModel!")
+		return
+	}
+	defer definitionsRows.Close()
+
+	var definitions TraingModelRowDefinitions = []TrainModelRow{}
+
+	for definitionsRows.Next() {
+		var rowv TrainModelRow
+		rowv.acuracy = 0
+		if err = definitionsRows.Scan(&rowv.id, &rowv.target_accuracy, &rowv.epoch); err != nil {
+			c.Logger.Error("Failed to train Model Could not read definition from db!Err:")
+			c.Logger.Error(err)
+			ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+			return
+		}
+		definitions = append(definitions, rowv)
+	}
+
+	if len(definitions) == 0 {
+		c.Logger.Error("No Definitions defined!")
+		ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+		return
+	}
+
+	firstRound := true
+	finished := false
+
+	for {
+		var toRemove ToRemoveList = []int{}
+		for i, def := range definitions {
+			ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_TRAINING)
+			accuracy, err := trainDefinition(c, model, def.id, !firstRound)
+			if err != nil {
+				c.Logger.Error("Failed to train definition!Err:", "err", err)
+				ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
+				toRemove = append(toRemove, i)
+				continue
+			}
+			def.epoch += EPOCH_PER_RUN
+			accuracy = accuracy * 100
+			def.acuracy = float64(accuracy)
+
+			definitions[i].epoch += EPOCH_PER_RUN
+			definitions[i].acuracy = accuracy
+
+			if accuracy >= float64(def.target_accuracy) {
+				c.Logger.Info("Found a definition that reaches target_accuracy!")
+				_, err = c.Db.Exec("update model_definition set accuracy=$1, status=$2, epoch=$3 where id=$4", accuracy, MODEL_DEFINITION_STATUS_TRANIED, def.epoch, def.id)
+				if err != nil {
+					c.Logger.Error("Failed to train definition!Err:\n", "err", err)
+					ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+					return
+				}
+
+				_, err = c.Db.Exec("update model_definition set status=$1 where id!=$2 and model_id=$3 and status!=$4", MODEL_DEFINITION_STATUS_CANCELD_TRAINING, def.id, model.Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
+				if err != nil {
+					c.Logger.Error("Failed to train definition!Err:\n", "err", err)
+					ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+					return
+				}
+
+				finished = true
+				break
+			}
+
+			if def.epoch > MAX_EPOCH {
+				fmt.Printf("Failed to train definition! Accuracy less %f < %d\n", accuracy, def.target_accuracy)
+				ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
+				toRemove = append(toRemove, i)
+				continue
+			}
+
+			_, err = c.Db.Exec("update model_definition set accuracy=$1, epoch=$2, status=$3 where id=$4", accuracy, def.epoch, MODEL_DEFINITION_STATUS_PAUSED_TRAINING, def.id)
+			if err != nil {
+				c.Logger.Error("Failed to train definition!Err:\n", "err", err)
+				ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+				return
+			}
+		}
+
+		firstRound = false
+		if finished {
+			break
+		}
+
+		sort.Sort(sort.Reverse(toRemove))
+
+		c.Logger.Info("Round done", "toRemove", toRemove)
+
+		for _, n := range toRemove {
+			definitions = remove(definitions, n)
+		}
+
+		len_def := len(definitions)
+
+		if len_def == 0 {
+			break
+		}
+
+		if len_def == 1 {
+			continue
+		}
+
+		sort.Sort(sort.Reverse(definitions))
+
+		acc := definitions[0].acuracy - 20.0
+
+		c.Logger.Info("Training models, Highest acc", "acc", definitions[0].acuracy, "mod_acc", acc)
+
+		toRemove = []int{}
+		for i, def := range definitions {
+			if def.acuracy < acc {
+				toRemove = append(toRemove, i)
+			}
+		}
+
+		c.Logger.Info("Removing due to accuracy", "toRemove", toRemove)
+
+		sort.Sort(sort.Reverse(toRemove))
+		for _, n := range toRemove {
+			c.Logger.Warn("Removing definition not fast enough learning", "n", n)
+			ModelDefinitionUpdateStatus(c, definitions[n].id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
+			definitions = remove(definitions, n)
+		}
+	}
+
+	rows, err := c.Db.Query("select id from model_definition where model_id=$1 and status=$2 order by accuracy desc limit 1;", model.Id, MODEL_DEFINITION_STATUS_TRANIED)
+	if err != nil {
+		c.Logger.Error("DB: failed to read definition")
+		c.Logger.Error(err)
+		ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+		return
+	}
+	defer rows.Close()
+
+	if !rows.Next() {
+		// TODO Make the Model status have a message
+		c.Logger.Error("All definitions failed to train!")
+		ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+		return
+	}
+
+	var id string
+	if err = rows.Scan(&id); err != nil {
+		c.Logger.Error("Failed to read id:")
+		c.Logger.Error(err)
+		ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+		return
+	}
+
+	if _, err = c.Db.Exec("update model_definition set status=$1 where id=$2;", MODEL_DEFINITION_STATUS_READY, id); err != nil {
+		c.Logger.Error("Failed to update model definition")
+		c.Logger.Error(err)
+		ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+		return
+	}
+
+	to_delete, err := c.Db.Query("select id from model_definition where status != $1 and model_id=$2", MODEL_DEFINITION_STATUS_READY, model.Id)
+	if err != nil {
+		c.Logger.Error("Failed to select model_definition to delete")
+		c.Logger.Error(err)
+		ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+		return
+	}
+	defer to_delete.Close()
+
+	for to_delete.Next() {
+		var id string
+		if to_delete.Scan(&id); err != nil {
+			c.Logger.Error("Failed to scan the id of a model_definition to delete")
+			c.Logger.Error(err)
+			ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+			return
+		}
+		os.RemoveAll(path.Join("savedData", model.Id, "defs", id))
+	}
+
+	// TODO Check if returning also works here
+	if _, err = c.Db.Exec("delete from model_definition where status!=$1 and model_id=$2;", MODEL_DEFINITION_STATUS_READY, model.Id); err != nil {
+		c.Logger.Error("Failed to delete model_definition")
+		c.Logger.Error(err)
+		ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
+		return
+	}
+
+	ModelUpdateStatus(c, model.Id, READY)
+}
+
 func removeFailedDataPoints(c *Context, model *BaseModel) (err error) {
 	rows, err := c.Db.Query("select mdp.id from model_data_point as mdp join model_classes as mc on mc.id=mdp.class_id where mc.model_id=$1 and mdp.status=-1;", model.Id)
 	if err != nil {
@@ -511,7 +715,7 @@ func generateDefinition(c *Context, model *BaseModel, target_accuracy int, numbe
 			}
 		}
 
-	} else if complexity == 1 {
+	} else if complexity == 1 || complexity == 2 {
 
 		loop := int((math.Log(float64(model.Width)) / math.Log(float64(10))))
 		if loop == 0 {
@@ -542,39 +746,6 @@ func generateDefinition(c *Context, model *BaseModel, target_accuracy int, numbe
 				return failed()
 			}
 		}
-
-	} else if complexity == 2 {
-
-		loop := int((math.Log(float64(model.Width)) / math.Log(float64(10))))
-		if loop == 0 {
-			loop = 1
-		}
-		for i := 0; i < loop; i++ {
-			err = MakeLayer(c.Db, def_id, order, LAYER_SIMPLE_BLOCK, "")
-			order++
-			if err != nil {
-				return failed()
-			}
-		}
-
-		err = MakeLayer(c.Db, def_id, order, LAYER_FLATTEN, "")
-		if err != nil {
-			return failed()
-		}
-		order++
-
-		loop = int((math.Log(float64(number_of_classes)) / math.Log(float64(10))) / 2)
-		if loop == 0 {
-			loop = 1
-		}
-		for i := 0; i < loop; i++ {
-			err = MakeLayer(c.Db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes*(loop-i)))
-			order++
-			if err != nil {
-				return failed()
-			}
-		}
-
 	} else {
 		c.Logger.Error("Unkown complexity", "complexity", complexity)
 		return failed()
@@ -625,6 +796,163 @@ func generateDefinitions(c *Context, model *BaseModel, target_accuracy int, numb
 	return nil
 }
 
+func CreateExpModelHead(c *Context, def_id string, range_start int, range_end int, status ModelDefinitionStatus) (id string, err error) {
+    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)
+
+	if err != nil {
+		return
+	}
+	defer rows.Close()
+
+    if !rows.Next() {
+        c.Logger.Error("Could not get status of model definition")
+        err = errors.New("Could not get status of model definition")
+        return 
+    }
+
+	err = rows.Scan(&id)
+    if err != nil {
+        return
+    }
+
+	return
+}
+
+func ExpModelHeadUpdateStatus(db *sql.DB, id string, status ModelDefinitionStatus) (err error) {
+	_, err = db.Exec("update model_definition set status = $1 where id = $2", status, id)
+	return
+}
+
+// This generates a definition
+func generateExpandableDefinition(c *Context, model *BaseModel, target_accuracy int, number_of_classes int, complexity int) *Error {
+	var err error = nil
+	failed := func() *Error {
+		ModelUpdateStatus(c, model.Id, FAILED_PREPARING_TRAINING)
+		// TODO improve this response
+		return c.Error500(err)
+	}
+
+	if complexity == 0 {
+        return failed()
+	}
+
+	def_id, err := MakeDefenition(c.Db, model.Id, target_accuracy)
+	if err != nil {
+		return failed()
+	}
+
+	order := 1
+
+    width := model.Width
+    height := model.Height
+
+	// Note the shape of the first layer defines the import size
+	if complexity == 2 {
+		// Note the shape for now is no used
+		width := int(math.Pow(2, math.Floor(math.Log(float64(model.Width))/math.Log(2.0))))
+		height := int(math.Pow(2, math.Floor(math.Log(float64(model.Height))/math.Log(2.0))))
+		c.Logger.Warn("Complexity 2 creating model with smaller size", "width", width, "height", height)
+
+	}        
+
+    err = MakeLayerExpandable(c.Db, def_id, order, LAYER_INPUT, fmt.Sprintf("%d,%d,1", width, height), 1)
+
+	order++
+    
+    // handle the errors inside the pervious if block
+    if err != nil {
+        return failed()
+    }
+    
+    // Create the blocks
+    loop := int((math.Log(float64(model.Width)) / math.Log(float64(10))))
+    if loop == 0 {
+        loop = 1
+    }
+
+    for i := 0; i < loop; i++ {
+        err = MakeLayerExpandable(c.Db, def_id, order, LAYER_SIMPLE_BLOCK, "", 1)
+        order++
+        if err != nil {
+            return failed()
+        }
+    }
+    
+    // Flatten the blocks into dense   
+    err = MakeLayerExpandable(c.Db, def_id, order, LAYER_FLATTEN, "", 1)
+    if err != nil {
+        return failed()
+    }
+    order++
+
+    // Flatten the blocks into dense   
+    err = MakeLayerExpandable(c.Db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes * 2), 1)
+    if err != nil {
+        return failed()
+    }
+    order++
+
+    loop = int((math.Log(float64(number_of_classes)) / math.Log(float64(10))) / 2)
+    if loop == 0 {
+        loop = 1
+    }
+
+    for i := 0; i < loop; i++ {
+        err = MakeLayer(c.Db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes*(loop-i)))
+        order++
+        if err != nil {
+            return failed()
+        }
+    }
+
+    _, err = CreateExpModelHead(c, def_id, 0, number_of_classes - 1, MODEL_DEFINITION_STATUS_INIT)
+    if err != nil {
+        return failed()
+    }
+
+	err = ModelDefinitionUpdateStatus(c, def_id, MODEL_DEFINITION_STATUS_INIT)
+	if err != nil {
+		return failed()
+	}
+
+	return nil
+}
+
+func generateExpandableDefinitions(c *Context, model *BaseModel, target_accuracy int, number_of_models int) *Error {
+	cls, err := model_classes.ListClasses(c.Db, model.Id)
+	if err != nil {
+		ModelUpdateStatus(c, model.Id, FAILED_PREPARING_TRAINING)
+		// TODO improve this response
+		return c.Error500(err)
+	}
+
+	err = removeFailedDataPoints(c, model)
+	if err != nil {
+		return c.Error500(err)
+	}
+
+	cls_len := len(cls)
+
+	if number_of_models == 1 {
+		if model.Width > 100 && model.Height > 100 {
+			generateExpandableDefinition(c, model, target_accuracy, cls_len, 2)
+		} else {
+			generateExpandableDefinition(c, model, target_accuracy, cls_len, 1)
+		}
+	} else if number_of_models == 3 {
+		for i := 0; i < number_of_models; i++ {
+			generateExpandableDefinition(c, model, target_accuracy, cls_len, i)
+		}
+	} else {
+		// TODO handle incrisea the complexity
+		for i := 0; i < number_of_models; i++ {
+			generateExpandableDefinition(c, model, target_accuracy, cls_len, 1)
+		}
+	}
+
+	return nil
+}
+
 func handleTrain(handle *Handle) {
 	handle.Post("/models/train", func(w http.ResponseWriter, r *http.Request, c *Context) *Error {
 		if !CheckAuthLevel(1, w, r, c) {
@@ -641,35 +969,27 @@ func handleTrain(handle *Handle) {
 		accuracy := 0
 
 		if !CheckId(f, "id") || CheckEmpty(f, "model_type") || !CheckNumber(f, "number_of_models", &number_of_models) || !CheckNumber(f, "accuracy", &accuracy) {
-			fmt.Println(
-				!CheckId(f, "id"), CheckEmpty(f, "model_type"), !CheckNumber(f, "number_of_models", &number_of_models), !CheckNumber(f, "accuracy", &accuracy),
-			)
 			// TODO improve this response
 			return ErrorCode(nil, 400, c.AddMap(nil))
 		}
 
 		id := f.Get("id")
-		model_type := f.Get("model_type")
+		model_type_id := 1
-		// Its not used rn
+		model_type_form := f.Get("model_type")
-		_ = model_type
 
-		// TODO check if the model has data
+		if model_type_form == "expandable" {
-		/*rows, err := handle.Db.Query("select mc.name, mdp.file_path from model_classes as mc join model_data_point as mdp on mdp.class_id = mc.id where mdp.model_mode = 1 and mc.model_id = $1 limit 1;", id)
+			model_type_id = 2
-		if err != nil {
+			c.Logger.Warn("TODO: handle expandable")
-			return Error500(err)
+            return c.Error400(nil, "TODO: handle expandable!", w, "/models/edit.html", "train-model-card", AnyMap{
+                "HasData": true,
+                "ErrorMessage": "TODO: handle expandable!",
+            })
+		} else if model_type_form != "simple" {
+            return c.Error400(nil, "Invalid model type!", w, "/models/edit.html", "train-model-card", AnyMap{
+                "HasData": true,
+                "ErrorMessage": "Invalid model type!",
+            })
 		}
-		defer rows.Close()
-
-		if !rows.Next() {
-			return Error500(err)
-		}
-
-		var name string
-		var file_path string
-		err = rows.Scan(&name, &file_path)
-		if err != nil {
-			return Error500(err)
-		}*/
 
 		model, err := GetBaseModel(handle.Db, id)
 		if err == ModelNotFoundError {
@@ -687,14 +1007,28 @@ func handleTrain(handle *Handle) {
 			return ErrorCode(nil, 400, c.AddMap(nil))
 		}
 
-		full_error := generateDefinitions(c, model, accuracy, number_of_models)
+        if model_type_id == 2 {
-		if full_error != nil {
+            full_error := generateExpandableDefinitions(c, model, accuracy, number_of_models)
-			return full_error
+            if full_error != nil {
-		}
+                return full_error
+            }
+        } else {
+            full_error := generateDefinitions(c, model, accuracy, number_of_models)
+            if full_error != nil {
+                return full_error
+            }
+        }
+
 
 		go trainModel(c, model)
 
-		ModelUpdateStatus(c, model.Id, TRAINING)
+        _, err = c.Db.Exec("update models set status = $1, model_type = $2 where id = $3", TRAINING, model_type_id, model.Id)
+        if err != nil {
+            fmt.Println("Failed to update model status")
+            fmt.Println(err)
+			// TODO improve this response
+			return Error500(err)
+        }
 		Redirect("/models/edit?id="+model.Id, c.Mode, w, r)
 		return nil
 	})

main.go

@@ -13,6 +13,7 @@ import (
 )
 
 const (
+	clear_db = false
 	host     = "localhost"
 	port     = 5432
 	user     = "postgres"
@@ -35,8 +36,9 @@ func main() {
 	//TODO check if file structure exists to save data
 	handle := NewHandler(db)
 
+	// TODO remove this before commiting
 	_, err = db.Exec("update models set status=$1 where status=$2", models_utils.FAILED_TRAINING, models_utils.TRAINING)
-	if err != nil {
+	if err != nil && clear_db {
 		log.Warn("Database might not be on")
 		panic(err)
 	}

sql/models.sql

@@ -10,6 +10,12 @@ create table if not exists models (
     -- -1: failed preparing
     -- 1: preparing
     status integer default 1,
+    
+    -- Types:
+    -- 0: Unset
+    -- 1: simple
+    -- 2: expandable
+    model_type integer default 0,
 
     width integer,
     height integer,
@@ -70,6 +76,34 @@ create table if not exists model_definition_layer (
     layer_type integer not null,
     -- ei 28,28,1
     -- a 28x28 grayscale image
-    shape text not null
+    shape text not null,
+    
+    -- Type based on the expandability
+    -- 0: not expandalbe model
+    -- 1: fixed 
+    -- 2: head
+    exp_type integer default 0
+);
+
+-- drop table if exists exp_model_head;
+create table if not exists exp_model_head (
+    id uuid primary key default gen_random_uuid(),
+    def_id uuid references model_definition (id) on delete cascade,
+    -- Start order id to the class that this model satifies inclusive
+    range_start integer not null,
+    -- end order id to the class that this model satifies inclusive
+    range_end integer not null,
+
+    accuracy real default 0,
+
+    -- TODO add max epoch
+    -- 1: Pre Init
+    -- 2: Init
+    -- 3: Training
+    -- 4: Tranied
+    -- 5: Ready
+    status integer default 1,
+    created_on timestamp default current_timestamp,
+    epoch_progress integer default 0
 );
 

views/models/add.html

@@ -21,7 +21,7 @@
                 <label for="file">Base image</label>
                 <div class="form-msg">
                     Please provide a base image.<br/>
-                    This image is a sample of the images that you are going to classfy.
+                    This image is a sample of the images that you are going to classfiy.
                 </div>
                 <div class="icon-holder">
                     <button class="icon">
@@ -33,7 +33,10 @@
                     <input id="file" name="file" type="file" required accept="image/png,image/jpeg" />
                 </div>
             </fieldset>
-            <button>
+            <button hx-indicator="#spinner" >
+                Create
+            </button>
+            <button disabled id="spinner" class="htmx-indicator">
                 Create
             </button>
         </form>

views/models/edit.html

@@ -24,10 +24,9 @@
 {{ define "delete-model-card" }}
     <form hx-delete="/models/delete" hx-headers='{"REQUEST-TYPE": "html"}' hx-swap="outerHTML" {{ if .Error }} class="submitted" {{end}} >
         <fieldset>
-            <span>
+            <label for="name">
                 To delete this model please type "{{ .Model.Name }}":
-            </span>
+            </label>
-            <label for="name">Name</label>
             <input name="name" id="name" required />
             {{ if .NameDoesNotMatch }}
                 <span class="form-msg red">
@@ -117,7 +116,7 @@
         </div>
 
         <div class="grow-1 flex justify-start align-center">
-            {{ if lt (mul .Page 10) .Count }}
+            {{ if .ShowNext }}
                 <button 
                     hx-get="/models/data/list?id={{ .Id }}&page={{ add .Page 1 }}"
                     hx-target=".content[data-tab='{{ .Name }}']"
@@ -283,9 +282,17 @@
 {{ define "train-model-card" }}
     <form hx-post="/models/train" hx-headers='{"REQUEST-TYPE": "html"}' hx-swap="outerHTML" {{ if .Error }} class="submitted" {{end}} >
         {{ if .HasData }}
-            {{ if gt .NumberOfInvalidImages 0 }}
+            {{ if .NumberOfInvalidImages }}
+                {{ if gt .NumberOfInvalidImages 0 }}
+                    <p class="danger">
+                        There are images {{ .NumberOfInvalidImages }} that were loaded that do not have the correct format. These images will be delete when the model trains.
+                    </p>
+                    <input type="hidden" value="{{ .NumberOfInvalidImages }}" name="id" />
+                {{ end }}
+            {{ end }}
+            {{ if .ErrorMessage }}
                 <p class="danger">
-                    There are images {{ .NumberOfInvalidImages }} that were loaded that do not have the correct format. These images will be delete when the model trains.
+                    {{ .ErrorMessage }}
                 </p>
             {{ end }}
             {{/* TODO expading mode */}}
@@ -296,7 +303,9 @@
                 </legend>
                 <div class="input-radial">
                     <input id="model_type_simple" value="simple" name="model_type" type="radio" checked  />
-                    <label for="model_type_simple">Simple</label>
+                    <label for="model_type_simple">Simple</label><br/>
+                    <input id="model_type_expandable" value="expandable" name="model_type" type="radio" />
+                    <label for="model_type_expandable">Expandable</label>
                 </div>
             </fieldset>
             {{/* TODO allow more models to be created */}}
@@ -400,7 +409,7 @@
         {{ template "base-model-card" . }}
         <form hx-delete="/models/data/delete-zip-file" hx-headers='{"REQUEST-TYPE": "html"}' hx-swap="outerHTML">
             Failed to proccess the zip file.<br/>
-            Delete file and proccess afain.<br/>
+            Delete file and proccess again.<br/>
             <br/>
             <div class="spacer" ></div>
             <input type="hidden" name="id" value="{{ .Model.Id }}" />