[MNT] Change semantic specs

examples/example_image/main.py

@@ -40,7 +40,7 @@ semantic_specs = [
     {
         "Data": {"Values": ["Tabular"], "Type": "Class"},
         "Task": {"Values": ["Classification"], "Type": "Class"},
-        "Device": {"Values": ["GPU"], "Type": "Tag"},
+        "Library": {"Values": ["Pytorch"], "Type": "Tag"},
         "Scenario": {"Values": ["Business"], "Type": "Tag"},
         "Description": {"Values": "", "Type": "String"},
         "Name": {"Values": "learnware_1", "Type": "String"},
@@ -50,7 +50,7 @@ semantic_specs = [
 user_senmantic = {
     "Data": {"Values": ["Tabular"], "Type": "Class"},
     "Task": {"Values": ["Classification"], "Type": "Class"},
-    "Device": {"Values": ["GPU"], "Type": "Tag"},
+    "Library": {"Values": ["Pytorch"], "Type": "Tag"},
     "Scenario": {"Values": ["Business"], "Type": "Tag"},
     "Description": {"Values": "", "Type": "String"},
     "Name": {"Values": "", "Type": "String"},

examples/example_m5/main.py

@@ -17,7 +17,7 @@ semantic_specs = [
     {
         "Data": {"Values": ["Tabular"], "Type": "Class"},
         "Task": {"Values": ["Classification"], "Type": "Class"},
-        "Device": {"Values": ["GPU"], "Type": "Tag"},
+        "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
         "Scenario": {"Values": ["Business"], "Type": "Tag"},
         "Description": {"Values": "", "Type": "String"},
         "Name": {"Values": "learnware_1", "Type": "String"},
@@ -27,7 +27,7 @@ semantic_specs = [
 user_semantic = {
     "Data": {"Values": ["Tabular"], "Type": "Class"},
     "Task": {"Values": ["Classification"], "Type": "Class"},
-    "Device": {"Values": ["GPU"], "Type": "Tag"},
+    "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
     "Scenario": {"Values": ["Business"], "Type": "Tag"},
     "Description": {"Values": "", "Type": "String"},
     "Name": {"Values": "", "Type": "String"},

examples/example_market_db/example_db.py

@@ -15,7 +15,7 @@ semantic_specs = [
     {
         "Data": {"Values": ["Tabular"], "Type": "Class"},
         "Task": {"Values": ["Classification"], "Type": "Class"},
-        "Device": {"Values": ["GPU"], "Type": "Tag"},
+        "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
         "Scenario": {"Values": ["Nature"], "Type": "Tag"},
         "Description": {"Values": "", "Type": "String"},
         "Name": {"Values": "learnware_1", "Type": "String"},
@@ -23,7 +23,7 @@ semantic_specs = [
     {
         "Data": {"Values": ["Tabular"], "Type": "Class"},
         "Task": {"Values": ["Classification"], "Type": "Class"},
-        "Device": {"Values": ["GPU"], "Type": "Tag"},
+        "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
         "Scenario": {"Values": ["Business", "Nature"], "Type": "Tag"},
         "Description": {"Values": "", "Type": "String"},
         "Name": {"Values": "learnware_2", "Type": "String"},
@@ -31,7 +31,7 @@ semantic_specs = [
     {
         "Data": {"Values": ["Tabular"], "Type": "Class"},
         "Task": {"Values": ["Regression"], "Type": "Class"},
-        "Device": {"Values": ["GPU"], "Type": "Tag"},
+        "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
         "Scenario": {"Values": ["Business"], "Type": "Tag"},
         "Description": {"Values": "", "Type": "String"},
         "Name": {"Values": "learnware_3", "Type": "String"},

examples/example_pfs/main.py

@@ -17,7 +17,7 @@ semantic_specs = [
     {
         "Data": {"Values": ["Tabular"], "Type": "Class"},
         "Task": {"Values": ["Classification"], "Type": "Class"},
-        "Device": {"Values": ["GPU"], "Type": "Tag"},
+        "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
         "Scenario": {"Values": ["Business"], "Type": "Tag"},
         "Description": {"Values": "", "Type": "String"},
         "Name": {"Values": "learnware_1", "Type": "String"},
@@ -27,7 +27,7 @@ semantic_specs = [
 user_semantic = {
     "Data": {"Values": ["Tabular"], "Type": "Class"},
     "Task": {"Values": ["Classification"], "Type": "Class"},
-    "Device": {"Values": ["GPU"], "Type": "Tag"},
+    "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
     "Scenario": {"Values": ["Business"], "Type": "Tag"},
     "Description": {"Values": "", "Type": "String"},
     "Name": {"Values": "", "Type": "String"},

examples/workflow_by_code/main.py

@@ -19,7 +19,7 @@ semantic_specs = [
     {
         "Data": {"Values": ["Tabular"], "Type": "Class"},
         "Task": {"Values": ["Classification"], "Type": "Class"},
-        "Device": {"Values": ["GPU"], "Type": "Tag"},
+        "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
         "Scenario": {"Values": ["Business"], "Type": "Tag"},
         "Description": {"Values": "", "Type": "String"},
         "Name": {"Values": "learnware_1", "Type": "String"},
@@ -32,7 +32,7 @@ user_semantic = {
         "Values": ["Classification"],
         "Type": "Class",
     },
-    "Device": {"Values": ["GPU"], "Type": "Tag"},
+    "Library": {"Values": ["Scikit-learn"], "Type": "Tag"},
     "Scenario": {"Values": ["Business"], "Type": "Tag"},
     "Description": {"Values": "", "Type": "String"},
     "Name": {"Values": "", "Type": "String"},

learnware/config.py

@@ -79,11 +79,16 @@ semantic_config = {
             # "Generation",
             "Segmentation",
             "Object Detection",
+            "Others",
         ],
         "Type": "Class",  # Choose only one class
     },
-    "Device": {
-        "Values": ["CPU", "GPU"],
+    # "Device": {
+    #     "Values": ["CPU", "GPU"],
+    #     "Type": "Tag",
+    # },  # Choose one or more tags
+    "Library": {
+        "Values": ["Scikit-learn", "PyTorch", "TensorFlow", "Others"],
         "Type": "Tag",
     },  # Choose one or more tags
     "Scenario": {

learnware/market/easy.py

@@ -128,7 +128,7 @@ class EasyMarket(BaseMarket):
             if len(semantic_spec["Task"]["Values"]) == 0:
                 logger.warning("Illegal semantic specification, please choose Task.")
                 return None, False
-            if len(semantic_spec["Device"]["Values"]) == 0:
+            if len(semantic_spec["Library"]["Values"]) == 0:
                 logger.warning("Illegal semantic specification, please choose Device.")
                 return None, False
             if len(semantic_spec["Name"]["Values"]) == 0:
@@ -140,7 +140,7 @@ class EasyMarket(BaseMarket):
             if (
                 semantic_spec["Data"]["Type"] != "Class"
                 or semantic_spec["Task"]["Type"] != "Class"
-                or semantic_spec["Device"]["Type"] != "Tag"
+                or semantic_spec["Library"]["Type"] != "Tag"
                 or semantic_spec["Scenario"]["Type"] != "Tag"
                 or semantic_spec["Name"]["Type"] != "String"
                 or semantic_spec["Description"]["Type"] != "String"
@@ -148,6 +148,7 @@ class EasyMarket(BaseMarket):
                 logger.warning("Illegal semantic specification, please provide the right type.")
                 return None, False
         except:
+            print(semantic_spec)
             logger.warning("Illegal semantic specification, some keys are missing.")
             return None, False