[release/0.12] Revert pipelines upgrade for 0.12.1

README.md

@@ -139,12 +139,12 @@ deepsparse.benchmark [-h] [-b BATCH_SIZE] [-shapes INPUT_SHAPES]
 ## 👩‍💻 NLP Inference Example
 
 ```python
-from deepsparse import Pipeline
+from deepsparse.transformers import pipeline
 
 # SparseZoo model stub or path to ONNX file
 model_path = "zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned80_quant-none-vnni"
 
-qa_pipeline = Pipeline.create(
+qa_pipeline = pipeline(
     task="question-answering",
     model_path=model_path,
 )

setup.py

@@ -45,7 +45,6 @@
 _deps = [
     "numpy>=1.16.3",
     "onnx>=1.5.0,<=1.10.1",
-    "pydantic>=1.8.2",
     "requests>=2.0.0",
     "tqdm>=4.0.0",
     "protobuf>=3.12.2",
@@ -81,16 +80,6 @@
     "onnxruntime>=1.7.0",
 ]
 
-_ic_integration_deps = [
-    "click<8.1",
-    "opencv-python",
-]
-
-_yolo_integration_deps = [
-    "torchvision>=0.3.0,<=0.10.1",
-    "opencv-python",
-]
-
 
 class OverrideInstall(install):
     """
@@ -183,15 +172,12 @@ def _setup_extras() -> Dict:
         "dev": _dev_deps,
         "server": _server_deps,
         "onnxruntime": _onnxruntime_deps,
-        "image_classification": _ic_integration_deps,
-        "yolo": _yolo_integration_deps,
     }
 
 
 def _setup_entry_points() -> Dict:
     data_api_entrypoint = "deepsparse.transformers.pipelines_cli:cli"
     eval_downstream = "deepsparse.transformers.eval_downstream:main"
-
     return {
         "console_scripts": [
             f"deepsparse.transformers.run_inference={data_api_entrypoint}",
@@ -200,7 +186,6 @@ def _setup_entry_points() -> Dict:
             "deepsparse.check_hardware=deepsparse.cpu:print_hardware_capability",
             "deepsparse.benchmark=deepsparse.benchmark.benchmark_model:main",
             "deepsparse.server=deepsparse.server.main:start_server",
-            "deepsparse.object_detection.annotate=deepsparse.yolo.annotate:main",
         ]
     }
 

src/deepsparse/__init__.py

@@ -31,7 +31,6 @@
     cpu_vnni_compatible,
 )
 from .engine import *
-from .pipeline import *
 from .version import __version__, is_release