Add an option to use pytorch for GPU-based image preprocessing

.github/workflows/test.jetson_4.5.0.yml

@@ -36,10 +36,21 @@ jobs:
           docker pull roboflow/roboflow-inference-server-jetson-4.5.0:test
           docker build -t roboflow/roboflow-inference-server-jetson-4.5.0:test -f docker/dockerfiles/Dockerfile.onnx.jetson.4.5.0 .
           docker push roboflow/roboflow-inference-server-jetson-4.5.0:test
-      - name: 🔋 Start Test Docker - Jetson 4.5.0
+
+      - name: 🔋 Start Test Docker without Torch Preprocessing - Jetson 4.5.0
         run: |
-          PORT=9101 INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-4.5.0 make start_test_docker_jetson
-      - name: 🧪 Regression Tests - Jetson 4.5.0
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=False INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-4.5.0 make start_test_docker_jetson
+      - name: 🧪 Regression Tests without Torch Preprocessing - Jetson 4.5.0
+        run: |
+          SKIP_VISUALISATION_TESTS=true MAX_WAIT=300 SKIP_LMM_TEST=True SKIP_TROCR_TEST=True SKIP_GROUNDING_DINO_TEST=true SKIP_SAM_TEST=true SKIP_YOLOV8_TEST=true SKIP_GAZE_TEST=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python3 -m pytest tests/inference/integration_tests/
+      - name: 🧹 Cleanup Test Docker - Jetson 4.5.0
+        run: make stop_test_docker
+        if: success() || failure()
+
+      - name: 🔋 Start Test Docker with Torch Preprocessing - Jetson 4.5.0
+        run: |
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=True INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-4.5.0 make start_test_docker_jetson
+      - name: 🧪 Regression Tests with Torch Preprocessing - Jetson 4.5.0
         run: |
           SKIP_VISUALISATION_TESTS=true MAX_WAIT=300 SKIP_LMM_TEST=True SKIP_TROCR_TEST=True SKIP_GROUNDING_DINO_TEST=true SKIP_SAM_TEST=true SKIP_YOLOV8_TEST=true SKIP_GAZE_TEST=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python3 -m pytest tests/inference/integration_tests/
       - name: 🧹 Cleanup Test Docker - Jetson 4.5.0

.github/workflows/test.jetson_4.6.1.yml

@@ -36,10 +36,21 @@ jobs:
           docker pull roboflow/roboflow-inference-server-jetson-4.6.1:test
           docker build -t roboflow/roboflow-inference-server-jetson-4.6.1:test -f docker/dockerfiles/Dockerfile.onnx.jetson.4.6.1 .
           docker push roboflow/roboflow-inference-server-jetson-4.6.1:test
-      - name: 🔋 Start Test Docker - Jetson 4.6.1
+
+      - name: 🔋 Start Test Docker without Torch Preprocessing - Jetson 4.6.1
         run: |
-          PORT=9101 INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-4.6.1 make start_test_docker_jetson
-      - name: 🧪 Regression Tests - Jetson 4.6.1
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=False INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-4.6.1 make start_test_docker_jetson
+      - name: 🧪 Regression Tests without Torch Preprocessing - Jetson 4.6.1
+        run: |
+          SKIP_YOLO_WORLD_TEST=true SKIP_SPEED_TEST=true SKIP_LMM_TEST=True SKIP_TROCR_TEST=True SKIP_TROCR_TEST=True SKIP_DOCTR_TEST=true SKIP_CLIP_TEST=true SKIP_VISUALISATION_TESTS=true MAX_WAIT=300 SKIP_SAM_TEST=true SKIP_GROUNDING_DINO_TEST=true SKIP_YOLOV8_TEST=true SKIP_GAZE_TEST=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python3 -m pytest tests/inference/integration_tests/
+      - name: 🧹 Cleanup Test Docker - Jetson 4.6.1
+        run: make stop_test_docker
+        if: success() || failure()
+
+      - name: 🔋 Start Test Docker with Torch Preprocessing - Jetson 4.6.1
+        run: |
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=True INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-4.6.1 make start_test_docker_jetson
+      - name: 🧪 Regression Tests with Torch Preprocessing - Jetson 4.6.1
         run: |
           SKIP_YOLO_WORLD_TEST=true SKIP_SPEED_TEST=true SKIP_LMM_TEST=True SKIP_TROCR_TEST=True SKIP_TROCR_TEST=True SKIP_DOCTR_TEST=true SKIP_CLIP_TEST=true SKIP_VISUALISATION_TESTS=true MAX_WAIT=300 SKIP_SAM_TEST=true SKIP_GROUNDING_DINO_TEST=true SKIP_YOLOV8_TEST=true SKIP_GAZE_TEST=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python3 -m pytest tests/inference/integration_tests/
       - name: 🧹 Cleanup Test Docker - Jetson 4.6.1

.github/workflows/test.jetson_5.1.1.yml

@@ -36,10 +36,21 @@ jobs:
           docker pull roboflow/roboflow-inference-server-jetson-5.1.1:test
           docker build -t roboflow/roboflow-inference-server-jetson-5.1.1:test -f docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1 .
           docker push roboflow/roboflow-inference-server-jetson-5.1.1:test
-      - name: 🔋 Start Test Docker - Jetson 5.1.1
+
+      - name: 🔋 Start Test Docker without Torch Preprocessing - Jetson 5.1.1
         run: |
-          PORT=9101 INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-5.1.1 make start_test_docker_jetson
-      - name: 🧪 Regression Tests - Jetson 5.1.1
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=False INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-5.1.1 make start_test_docker_jetson
+      - name: 🧪 Regression Tests without Torch Preprocessing - Jetson 5.1.1
+        run: |
+          SKIP_VISUALISATION_TESTS=true SKIP_LMM_TEST=True MAX_WAIT=300 SKIP_GROUNDING_DINO_TEST=true SKIP_SAM_TEST=true SKIP_GAZE_TEST=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python -m pytest tests/inference/integration_tests/
+      - name: 🧹 Cleanup Test Docker - Jetson 5.1.1
+        run: make stop_test_docker
+        if: success() || failure()
+
+      - name: 🔋 Start Test Docker with Torch Preprocessing - Jetson 5.1.1
+        run: |
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=True INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-5.1.1 make start_test_docker_jetson
+      - name: 🧪 Regression Tests with Torch Preprocessing - Jetson 5.1.1
         run: |
           SKIP_VISUALISATION_TESTS=true SKIP_LMM_TEST=True MAX_WAIT=300 SKIP_GROUNDING_DINO_TEST=true SKIP_SAM_TEST=true SKIP_GAZE_TEST=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python -m pytest tests/inference/integration_tests/
       - name: 🧹 Cleanup Test Docker - Jetson 5.1.1

.github/workflows/test.jetson_6.0.0.yml

@@ -36,10 +36,21 @@ jobs:
           docker pull roboflow/roboflow-inference-server-jetson-6.0.0:test
           docker build -t roboflow/roboflow-inference-server-jetson-6.0.0:test -f docker/dockerfiles/Dockerfile.onnx.jetson.6.0.0 .
           docker push roboflow/roboflow-inference-server-jetson-6.0.0:test
-      - name: 🔋 Start Test Docker - Jetson 6.0.0
+
+      - name: 🔋 Start Test Docker without Torch Preprocessing - Jetson 6.0.0
         run: |
-          PORT=9101 INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-6.0.0 make start_test_docker_jetson
-      - name: 🧪 Regression Tests - Jetson 6.0.0
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=False INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-6.0.0 make start_test_docker_jetson
+      - name: 🧪 Regression Tests without Torch Preprocessing - Jetson 6.0.0
+        run: |
+          SKIP_VISUALISATION_TESTS=true SKIP_LMM_TEST=True MAX_WAIT=300 SKIP_GROUNDING_DINO_TEST=true SKIP_SAM_TEST=true SKIP_GAZE_TEST=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python -m pytest tests/inference/integration_tests/
+      - name: 🧹 Cleanup Test Docker - Jetson 6.0.0
+        run: make stop_test_docker
+        if: success() || failure()
+
+      - name: 🔋 Start Test Docker with Torch Preprocessing - Jetson 6.0.0
+        run: |
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=True INFERENCE_SERVER_REPO=roboflow-inference-server-jetson-6.0.0 make start_test_docker_jetson
+      - name: 🧪 Regression Tests with Torch Preprocessing - Jetson 6.0.0
         run: |
           SKIP_VISUALISATION_TESTS=true SKIP_LMM_TEST=True MAX_WAIT=300 SKIP_GROUNDING_DINO_TEST=true SKIP_SAM_TEST=true SKIP_GAZE_TEST=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python -m pytest tests/inference/integration_tests/
       - name: 🧹 Cleanup Test Docker - Jetson 6.0.0

.github/workflows/test.nvidia_t4.yml

@@ -27,15 +27,27 @@ jobs:
       - name: �🔨 Build and Push Test Docker - GPU
         run: |
           docker build -t roboflow/roboflow-inference-server-gpu:test -f docker/dockerfiles/Dockerfile.onnx.gpu .
-      - name: 🔋 Start Test Docker - GPU
+
+      - name: 🔋 Start Test Docker without Torch Preprocessing - GPU
         run: |
-          PORT=9101 INFERENCE_SERVER_REPO=roboflow-inference-server-gpu make start_test_docker_gpu
-      - name: 🧪 Regression Tests - GPU
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=False INFERENCE_SERVER_REPO=roboflow-inference-server-gpu make start_test_docker_gpu
+      - name: 🧪 Regression Tests without Torch Preprocessing - GPU
+        id: regression_tests
+        run: |
+          MINIMUM_FPS=25 FUNCTIONAL=true PORT=9101 SKIP_LMM_TEST=True API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python3 -m pytest tests/inference/integration_tests/
+      - name: 🧹 Cleanup Test Docker - GPU
+        run: make stop_test_docker
+
+      - name: 🔋 Start Test Docker with Torch Preprocessing - GPU
+        run: |
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=True INFERENCE_SERVER_REPO=roboflow-inference-server-gpu make start_test_docker_gpu
+      - name: 🧪 Regression Tests with Torch Preprocessing - GPU
         id: regression_tests
         run: |
           MINIMUM_FPS=25 FUNCTIONAL=true PORT=9101 SKIP_LMM_TEST=True API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python3 -m pytest tests/inference/integration_tests/
       - name: 🧹 Cleanup Test Docker - GPU
         run: make stop_test_docker
+
       - name: 🔋 Start Test Docker - GPU
         run: |
           PORT=9101 INFERENCE_SERVER_REPO=roboflow-inference-server-gpu make start_test_docker_gpu

.github/workflows/test.nvidia_t4_parallel_server.yml

@@ -33,10 +33,25 @@ jobs:
       - name: 🔨 Build and Push Test Docker - Parallel GPU
         run: |
           docker build -t roboflow/roboflow-inference-server-gpu-parallel:test -f docker/dockerfiles/Dockerfile.onnx.gpu.parallel .
-      - name: 🔋 Start Test Docker - Parallel GPU
+
+      - name: 🔋 Start Test Docker without Torch Preprocessing - Parallel GPU
         run: |
-          PORT=9101 INFERENCE_SERVER_REPO=roboflow-inference-server-gpu-parallel make start_test_docker_gpu
-      - name: 🧪 Regression Tests - Parallel GPU
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=False INFERENCE_SERVER_REPO=roboflow-inference-server-gpu-parallel make start_test_docker_gpu
+      - name: 🧪 Regression Tests without Torch Preprocessing - Parallel GPU
+        id: regression_tests
+        run: |
+          IS_PARALLEL_SERVER=true SKIP_VISUALISATION_TESTS=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python3 -m pytest tests/inference/integration_tests/regression_test.py tests/inference/integration_tests/batch_regression_test.py
+      - name: 🚨 Show server logs on error
+        run: docker logs inference-test
+        if: failure()
+      - name: 🧹 Cleanup Test Docker - Parallel GPU
+        run: make stop_test_docker
+        if: success() || failure()
+
+      - name: 🔋 Start Test Docker with Torch Preprocessing - Parallel GPU
+        run: |
+          PORT=9101 USE_PYTORCH_FOR_PREPROCESSING=True INFERENCE_SERVER_REPO=roboflow-inference-server-gpu-parallel make start_test_docker_gpu
+      - name: 🧪 Regression Tests with Torch Preprocessing - Parallel GPU
         id: regression_tests
         run: |
           IS_PARALLEL_SERVER=true SKIP_VISUALISATION_TESTS=true FUNCTIONAL=true PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python3 -m pytest tests/inference/integration_tests/regression_test.py tests/inference/integration_tests/batch_regression_test.py

inference/core/env.py

@@ -149,6 +149,11 @@
 # ID of host device, default is None
 DEVICE_ID = os.getenv("DEVICE_ID", None)
 
+# Whether or not to use PyTorch for preprocessing, default is False
+USE_PYTORCH_FOR_PREPROCESSING = str2bool(
+    os.getenv("USE_PYTORCH_FOR_PREPROCESSING", False)
+)
+
 # Flag to disable inference cache, default is False
 DISABLE_INFERENCE_CACHE = str2bool(os.getenv("DISABLE_INFERENCE_CACHE", False))