infra: Add Torch 1.13.1 testing to nightly CI

.circleci/config.yml

@@ -524,15 +524,47 @@ commands:
       - store_artifacts:
           path: /tmp/testlogs
 
-  test-fx_converters:
-    description: "Test the fx converters"
+  test-fx_converters_acc:
+    description: "Test the fx acc converters"
     steps:
       - run:
           name: Run FX converter tests
           command: |
             cd py/torch_tensorrt/fx/test
-            pushd converters/
-            pytest --junitxml=/tmp/artifacts/test_results/fx/converters/test_results.xml
+            pushd converters/acc_op/
+            pytest --junitxml=/tmp/artifacts/test_results/fx/converters/acc_op/test_results.xml
+            popd
+
+      - store_test_results:
+          path: /tmp/artifacts
+      - store_artifacts:
+          path: /tmp/testlogs
+
+  test-fx_converters_aten:
+    description: "Test the fx aten converters"
+    steps:
+      - run:
+          name: Run FX converter tests
+          command: |
+            cd py/torch_tensorrt/fx/test
+            pushd converters/aten_op/
+            pytest --junitxml=/tmp/artifacts/test_results/fx/converters/aten_op/test_results.xml
+            popd
+
+      - store_test_results:
+          path: /tmp/artifacts
+      - store_artifacts:
+          path: /tmp/testlogs
+
+  test-fx_converters_vanilla:
+    description: "Test the fx vanilla converters"
+    steps:
+      - run:
+          name: Run FX converter tests
+          command: |
+            cd py/torch_tensorrt/fx/test
+            pushd converters/vanilla/
+            pytest --junitxml=/tmp/artifacts/test_results/fx/converters/vanilla/test_results.xml
             popd
 
       - store_test_results:
@@ -587,7 +619,7 @@ commands:
           path: /tmp/testlogs
 
   test-fx_tracer:
-    description: "Test the fx tracer"
+    description: "Test all fx tracers"
     steps:
       - run:
           name: Run FX tracer
@@ -602,6 +634,22 @@ commands:
       - store_artifacts:
           path: /tmp/testlogs
 
+  test-fx_tracer_acc:
+    description: "Test the fx acc tracer only"
+    steps:
+      - run:
+          name: Run FX tracer
+          command: |
+            cd py/torch_tensorrt/fx/test
+            pushd tracer
+            list_tracer=$(ls | grep test_acc)
+            pytest $list_tracer --junitxml=/tmp/artifacts/test_results/fx/tracer/test_results.xml
+            popd
+      - store_test_results:
+          path: /tmp/artifacts
+      - store_artifacts:
+          path: /tmp/testlogs
+
   test-fx_quant:
     description: "Test the fx quant"
     steps:
@@ -625,7 +673,9 @@ commands:
           name: Run fx tests
           command: |
             mkdir -p /tmp/artifacts/test_results
-      - test-fx_converters
+      - test-fx_converters_acc
+      - test-fx_converters_aten
+      - test-fx_converters_vanilla
       - test-fx_passes
       - test-fx_tools
       - test-fx_trt_lower
@@ -637,6 +687,26 @@ commands:
       - store_artifacts:
           path: /tmp/testlogs
 
+  test-fx-no-aten:
+    description: "Test the fx backend without aten operators"
+    steps:
+      - run:
+          name: Run fx tests without aten ops
+          command: |
+            mkdir -p /tmp/artifacts/test_results
+      - test-fx_converters_acc
+      - test-fx_converters_vanilla
+      - test-fx_passes
+      - test-fx_tools
+      - test-fx_trt_lower
+      - test-fx_tracer_acc
+      - test-fx_core
+      - test-fx_quant
+      - store_test_results:
+          path: /tmp/artifacts
+      - store_artifacts:
+          path: /tmp/testlogs
+
 # Define a job to be invoked later in a workflow.
 # See: https://circleci.com/docs/2.0/configuration-reference/#jobs
 jobs:
@@ -782,6 +852,37 @@ jobs:
       - dump-test-env
       - test-fx
 
+  test-py-fx-x86_64-linux-no-aten:
+    parameters:
+      torch-build:
+        type: string
+      torch-build-index:
+        type: string
+      trt-version-long:
+        type: string
+    machine:
+      image: ubuntu-2004-cuda-11.4:202110-01
+    resource_class: gpu.nvidia.large
+    steps:
+      - checkout
+      - attach_workspace:
+          at: /tmp/dist/
+      - install-torch-from-index:
+          torch-build:  << parameters.torch-build >>
+          torch-build-index: << parameters.torch-build-index >>
+      - create-py-env:
+          trt-version-long: << parameters.trt-version-long >>
+      - install-cudnn
+      # - run:
+      #     name: "Set LD_LIBRARY_PATH path to include the installed CUDNN"
+      #     command: export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/:$LD_LIBRARY_PATH
+      - run:
+          name: "Install torch-tensorrt"
+          command: pip3 install --pre /tmp/dist/x86_64-linux/*cp39-cp39*.whl
+      # We install torch after torch-trt because pip automatically enforces the version constraint otherwise
+      - dump-test-env
+      - test-fx-no-aten
+
   package-x86_64-linux:
     parameters:
       enabled:
@@ -1074,6 +1175,12 @@ parameters:
   torch-build-index:
     type: string
     default: "https://download.pytorch.org/whl/nightly/cu117"
+  torch-build-legacy:
+    type: string
+    default: "1.13.1+cu117"
+  torch-build-index-legacy:
+    type: string
+    default: "https://download.pytorch.org/whl/cu117"
   cudnn-version:
     type: string
     default: "8.5.0.96"
@@ -1127,6 +1234,7 @@ workflows:
                 - release/**/*
     jobs:
       - build-x86_64-linux:
+          name: build-x86_64-linux
           torch-build: << pipeline.parameters.torch-build >>
           torch-build-index: << pipeline.parameters.torch-build-index >>
 
@@ -1153,6 +1261,36 @@ workflows:
           requires:
             - build-x86_64-linux
 
+      - build-x86_64-linux:
+          name: build-x86_64-linux-legacy
+          torch-build: << pipeline.parameters.torch-build-legacy >>
+          torch-build-index: << pipeline.parameters.torch-build-index-legacy >>
+
+      - test-core-cpp-x86_64-linux:
+          name: test-core-cpp-x86_64-linux-legacy
+          torch-build: << pipeline.parameters.torch-build-legacy >>
+          torch-build-index: << pipeline.parameters.torch-build-index-legacy >>
+          trt-version-short: << pipeline.parameters.trt-version-short >>
+          trt-version-long: << pipeline.parameters.trt-version-long >>
+          cudnn-version: << pipeline.parameters.cudnn-version >>
+          requires:
+            - build-x86_64-linux-legacy
+
+      - test-py-ts-x86_64-linux:
+          name: test-py-ts-x86_64-linux-legacy
+          torch-build: << pipeline.parameters.torch-build-legacy >>
+          torch-build-index: << pipeline.parameters.torch-build-index-legacy >>
+          trt-version-long: << pipeline.parameters.trt-version-long >>
+          requires:
+            - build-x86_64-linux-legacy
+
+      - test-py-fx-x86_64-linux-no-aten:
+          torch-build: << pipeline.parameters.torch-build-legacy >>
+          torch-build-index: << pipeline.parameters.torch-build-index-legacy >>
+          trt-version-long: << pipeline.parameters.trt-version-long >>
+          requires:
+            - build-x86_64-linux-legacy
+
   release:
     when: << pipeline.parameters.enable-packaging >>
     jobs:

py/setup.py

@@ -380,7 +380,7 @@ def run(self):
     long_description=long_description,
     ext_modules=ext_modules,
     install_requires=[
-        "torch>=1.14.0.dev0",
+        "torch>=1.13.1",
     ],
     setup_requires=[],
     cmdclass={

py/torch_tensorrt/fx/test/quant/test_quant_trt.py

@@ -696,7 +696,6 @@ def conv_add_extra_inputs_getter(pattern):
             return [extra_input]
 
         conv_add_config = {
-            "pattern_complex_format": (operator.add, torch.nn.Conv2d, MatchAllNode),
             "observation_type": ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
             "dtype_configs": [
                 weighted_op_qint8_dtype_config,
@@ -707,6 +706,15 @@ def conv_add_extra_inputs_getter(pattern):
             "reference_quantized_module_for_root": torch.nn.quantized._reference.Conv2d,
         }
 
+        if torch.__version__.startswith("1"):
+            conv_add_config["pattern"] = (operator.add, torch.nn.Conv2d, MatchAllNode)
+        else:
+            conv_add_config["pattern_complex_format"] = (
+                operator.add,
+                torch.nn.Conv2d,
+                MatchAllNode,
+            )
+
         m = M().eval()
         modified_backend_config_dict = copy.deepcopy(self.trt_backend_config_dict)
         modified_backend_config_dict["configs"].insert(0, conv_add_config)
@@ -764,10 +772,6 @@ def forward(self, x):
         }
 
         conv_add_config = {
-            "pattern_complex_format": (
-                torch.nn.ReLU,
-                (operator.add, torch.nn.Conv2d, MatchAllNode),
-            ),
             "observation_type": ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
             "dtype_configs": [
                 weighted_op_quint8_dtype_config,
@@ -776,6 +780,17 @@ def forward(self, x):
             # "reference_quantized_module_for_root": torch.nn.quantized._reference.Conv2d,
         }
 
+        if torch.__version__.startswith("1"):
+            conv_add_config["pattern"] = (
+                torch.nn.ReLU,
+                (operator.add, torch.nn.Conv2d, MatchAllNode),
+            )
+        else:
+            conv_add_config["pattern_complex_format"] = (
+                torch.nn.ReLU,
+                (operator.add, torch.nn.Conv2d, MatchAllNode),
+            )
+
         conv_config = {
             "pattern": torch.nn.Conv2d,
             "observation_type": ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,

py/torch_tensorrt/fx/tracer/dispatch_tracer/aten_tracer.py

@@ -4,8 +4,10 @@
 from typing import Any, Callable, Dict, Generator, List, Optional, Set, Tuple, Union
 
 import torch
-import torch._dynamo as torchdynamo
-from torch._dynamo.guards import Guard
+
+if not torch.__version__.startswith("1"):
+    import torch._dynamo as torchdynamo
+
 from torch.fx.passes.infra.pass_base import PassResult
 
 from torch_tensorrt.fx.passes.lower_basic_pass_aten import (
@@ -96,12 +98,17 @@ def dynamo_trace(
     aten_graph: bool,
     tracing_mode: str = "real",
     dynamo_config: Optional[DynamoConfig] = None,
-) -> Tuple[torch.fx.GraphModule, Set[Guard]]:
+) -> Tuple[torch.fx.GraphModule, Set]:
     """
     TODO: Once we fully migrate to torchdynamo frontend, we will remove
     this config option alltogether.  For now, it helps with quick
     experiments with playing around with TorchDynamo
     """
+    if torch.__version__.startswith("1"):
+        raise ValueError(
+            f"The aten tracer requires Torch version >= 2.0. Detected version {torch.__version__}"
+        )
+
     if dynamo_config is None:
         dynamo_config = DynamoConfig()
     with using_config(dynamo_config), setting_python_recursive_limit(2000):