Fix test_modifier test error with EfficientVIT model and change the A…

…PI calls.

modelconverter/utils/onnx_tools.py

@@ -191,11 +191,19 @@ class ONNXModifier:
         Path to the base ONNX model
     output_path : Path
         Path to save the modified ONNX model
+    skip_optimisation : bool
+        Flag to skip optimization of the ONNX model
     """
 
-    def __init__(self, model_path: Path, output_path: Path) -> None:
+    def __init__(
+        self,
+        model_path: Path,
+        output_path: Path,
+        skip_optimisation: bool = False,
+    ) -> None:
         self.model_path = model_path
         self.output_path = output_path
+        self.skip_optimisation = skip_optimisation
         self.load_onnx()
         self.prev_onnx_model = self.onnx_model
         self.prev_onnx_gs = self.onnx_gs
@@ -207,7 +215,8 @@ def load_onnx(self) -> None:
         logger.info(f"Loading model: {self.model_path.stem}")
 
         self.onnx_model, _ = simplify(
-            self.model_path.as_posix(), perform_optimization=True
+            self.model_path.as_posix(),
+            perform_optimization=True and not self.skip_optimisation,
         )
 
         self.dtype = onnx.mapping.TENSOR_TYPE_TO_NP_TYPE[
@@ -232,8 +241,10 @@ def optimize_onnx(self, passes: Optional[List[str]] = None) -> None:
         @type passes: Optional[List[str]]
         """
 
-        optimised_onnx_model = onnxoptimizer.optimize(
-            self.onnx_model, passes=passes
+        optimised_onnx_model = (
+            self.onnx_model
+            if self.skip_optimisation
+            else onnxoptimizer.optimize(self.onnx_model, passes=passes)
         )
 
         optimised_onnx_model, _ = simplify(

tests/test_utils/test_modifier.py

@@ -4,11 +4,11 @@
 from pathlib import Path
 from typing import Tuple
 
-import requests
 import wget
 from luxonis_ml.nn_archive.config import Config as NNArchiveConfig
 from luxonis_ml.nn_archive.config_building_blocks import InputType
 
+from modelconverter.cli import Request
 from modelconverter.utils import ONNXModifier
 from modelconverter.utils.config import Config
 from modelconverter.utils.onnx_tools import onnx_attach_normalization_to_inputs
@@ -25,18 +25,18 @@
     "mult_512x288",
 ]
 
+EXCEMPT_OPTIMISATION = [
+    "efficientvit-b1-224",
+]
+
 
 def download_onnx_models():
     if not os.path.exists(DATA_DIR):
         os.makedirs(DATA_DIR)
 
-    url = "https://easyml.cloud.luxonis.com/models/api/v1/models?is_public=true&limit=1000"
-    response = requests.get(url, headers=HEADERS)
-    if response.status_code != 200:
-        raise ValueError(
-            f"Failed to get models. Status code: {response.status_code}"
-        )
-    hub_ai_models = response.json()
+    hub_ai_models = Request.get(
+        "models/", params={"is_public": True, "limit": 1000}
+    )
 
     for model in hub_ai_models:
         if "ONNX" in model["exportable_types"]:
@@ -46,25 +46,22 @@ def download_onnx_models():
                 os.makedirs(model_dir)
             model_id = model["id"]
 
-            url = f"https://easyml.cloud.luxonis.com/models/api/v1/modelVersions?model_id={model_id}"
-            response = requests.get(url, headers=HEADERS)
-            if response.status_code != 200:
-                raise ValueError(
-                    f"Failed to get model versions. Status code: {response.status_code}"
-                )
-            model_versions = response.json()
+            model_variants = Request.get(
+                "modelVersions/",
+                params={
+                    "model_id": model_id,
+                    "is_public": True,
+                    "limit": 1000,
+                },
+            )
 
-            for version in model_versions:
-                if "ONNX" in version["exportable_types"]:
-                    model_version_id = version["id"]
+            for variant in model_variants:
+                if "ONNX" in variant["exportable_types"]:
+                    model_version_id = variant["id"]
                     break
-            url = f"https://easyml.cloud.luxonis.com/models/api/v1/modelVersions/{model_version_id}/download"
-            response = requests.get(url, headers=HEADERS)
-            if response.status_code != 200:
-                raise ValueError(
-                    f"Failed to download model. Status code: {response.status_code}"
-                )
-            download_info = response.json()
+            download_info = Request.get(
+                f"modelVersions/{model_version_id}/download"
+            )
 
             model_download_link = download_info[0]["download_link"]
 
@@ -210,6 +207,9 @@ def pytest_generate_tests(metafunc):
 
 
 def test_onnx_model(onnx_file):
+    skip_optimisation = (
+        True if onnx_file.stem in EXCEMPT_OPTIMISATION else False
+    )
     nn_config = onnx_file.parent / f"{onnx_file.stem}_config.json"
     cfg, main_stage_key = get_config(nn_config)
 
@@ -229,7 +229,9 @@ def test_onnx_model(onnx_file):
         onnx_file.parent / f"{onnx_file.stem}_modified_optimised.onnx"
     )
     onnx_modifier = ONNXModifier(
-        model_path=modified_onnx, output_path=modified_optimised_onnx
+        model_path=modified_onnx,
+        output_path=modified_optimised_onnx,
+        skip_optimisation=skip_optimisation,
     )
 
     if onnx_modifier.has_dynamic_shape: