added ort benchmarks

app.py

@@ -42,6 +42,9 @@ def get_benchmark_df(benchmark):
 
     # preprocess
     bench_df["model"] = bench_df["model"].apply(make_clickable_model)
+    # set none datatype to float32
+    bench_df["backend.torch_dtype"] = bench_df["backend.torch_dtype"].fillna(
+        "float32")
     # filter
     bench_df = bench_df[list(COLUMNS_MAPPING.keys())]
     # rename
@@ -68,12 +71,6 @@ def change_tab(query_param):
 
 def submit_query(single_df, multi_df, text, backends, datatypes, threshold):
 
-    print("submit_query")
-    print(text)
-    print(backends)
-    print(datatypes)
-    print(threshold)
-
     filtered_single = single_df[
         single_df["Model 🤗"].str.contains(text) &
         single_df["Backend 🏭"].isin(backends) &
@@ -105,7 +102,7 @@ with demo:
         )
         backend_checkboxes = gr.CheckboxGroup(
             choices=["pytorch", "onnxruntime"],
-            value=["pytorch"],
+            value=["pytorch", "onnxruntime"],
             label="Backends 🏭",
             info="Select the backends",
             elem_id="backend-checkboxes",