saving fashion_mnist - kamangir/bolt#692

abcli/fashion_mnist.sh

@@ -10,8 +10,8 @@ function abcli_fashion_mnist() {
     if [ $task == "help" ] ; then
         abcli_help_line "$abcli_cli_name fashion_mnist ingest" \
             "ingest fashion_mnist data."
-        abcli_help_line "$abcli_cli_name fashion_mnist predict object_1" \
-            "run fashion_mnist model object_1 predict."
+        abcli_help_line "$abcli_cli_name fashion_mnist predict object_1 [name_1] [object]" \
+            "run fashion_mnist saved/object model name_1 predict on object_1."
         abcli_help_line "$abcli_cli_name fashion_mnist save [name_1] [object_1] [force]" \
             "[force] save fashion_mnist [in object_1] as name_1."
         abcli_help_line "$abcli_cli_name fashion_mnist train [validate]" \
@@ -35,14 +35,38 @@ function abcli_fashion_mnist() {
     fi
 
     if [ "$task" == "predict" ] ; then
-        abcli_fashion_mnist ingest
+        local data_object=$(abcli_clarify_object "$2" $abcli_object_name)
+
+        local options=$4
+        local model_is_object=$(abcli_option_get_unpacked "$options" "object" 0)
+
+        if [ "$model_is_object" == 1 ] ; then
+            local model_object=$(abcli_clarify_object "$3")
+
+            abcli_download object $model_object
+
+            local model_path=$abcli_object_root/$model_object
+        else
+            local model_name=$(abcli_clarify_arg "$3" fashion-mnist)
+
+            local model_path=$abcli_path_git/image-classifier/saved_model/$model_name
+        fi
+        
+
+        # object_1 [name_1] [object]
+
+
+
+
         abcli_image_classifier_predict ${@:2}
         return
     fi
 
     if [ "$task" == "save" ] ; then
-        local model_name=$(abcli_clarify_arg "$2" fashion-mnist)
-        abcli_huggingface save image-classifier $model_name ${@:3}
+        abcli_huggingface save \
+            image-classifier \
+            $(abcli_clarify_arg "$2" fashion-mnist) \
+            ${@:3}
         return
     fi
 

abcli/image_classifier.sh

@@ -12,8 +12,8 @@ function abcli_image_classifier() {
             "describe model object_1."
         abcli_help_line "$abcli_cli_name image_classifier install" \
             "install image_classifier."
-        abcli_help_line "$abcli_cli_name image_classifier predict object_1 object_2" \
-            "run image_classifier model object_1 predict on data object_2."
+        abcli_help_line "$abcli_cli_name image_classifier predict object_1 [name_1] [object]" \
+            "run image_classifier saved/object model name_1 predict on object_1."
         abcli_help_line "$abcli_cli_name image_classifier save [name_1] [object_1] [force]" \
             "[force] save image_classifier [in object_1] [as name_1]."
         abcli_help_line "$abcli_cli_name image_classifier train object_1" \
@@ -49,8 +49,10 @@ function abcli_image_classifier() {
     fi
 
     if [ "$task" == "save" ] ; then
-        local model_name=$(abcli_clarify_arg "$2" image-classifier)
-        abcli_huggingface save image-classifier $model_name ${@:3}
+        abcli_huggingface save \
+            image-classifier \
+            $(abcli_clarify_arg "$2" image-classifier) \
+            ${@:3}
         return
     fi
 

image_classifier/__init__.py

@@ -1,5 +1,5 @@
 name = "image_classifier"
 
-version = "1.1.96"
+version = "1.1.98"
 
 description = "fashion-mnist + hugging-face + awesome-bash-cli"