diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 9a5ffb648783..78b078fcdbec 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -75,8 +75,3 @@ jobs:
       - name: Integration tests (torch-${{ matrix.torch-version }})
         run: |
           bash build_tools/ci/test_posix.sh ${{ matrix.torch-version }}
-
-      - name: Check generated sources (torch-nightly only)
-        if: ${{ matrix.torch-version == 'nightly' }}
-        run: |
-          bash build_tools/ci/check_generated_sources.sh
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 5413da9d9bab..ac162a2b23c5 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -74,7 +74,7 @@ endif()
 # Turning this off disables the old TorchScript path, leaving FX based import as the current supported option.
 # The option will be retained for a time, and if a maintainer is interested in setting up testing for it,
 # please reach out on the list and speak up for it. It will only be enabled in CI for test usage.
-cmake_dependent_option(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER "Enables JIT IR Importer" ON TORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS OFF)
+cmake_dependent_option(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER "Enables JIT IR Importer" OFF TORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS OFF)
 cmake_dependent_option(TORCH_MLIR_ENABLE_LTC "Enables LTC backend" OFF TORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS OFF)
 
 option(TORCH_MLIR_ENABLE_ONNX_C_IMPORTER "Enables the ONNX C importer" OFF)
diff --git a/build_tools/ci/build_posix.sh b/build_tools/ci/build_posix.sh
index b9bb122acd37..dde181206ead 100755
--- a/build_tools/ci/build_posix.sh
+++ b/build_tools/ci/build_posix.sh
@@ -51,7 +51,7 @@ cmake -S "$repo_root/externals/llvm-project/llvm" -B "$build_dir" \
   -DLLVM_TARGETS_TO_BUILD=host \
   -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
   -DTORCH_MLIR_ENABLE_LTC=OFF \
-  -DTORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS=ON
+  -DTORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS=OFF
 echo "::endgroup::"
 
 echo "::group::Build"
diff --git a/build_tools/ci/test_posix.sh b/build_tools/ci/test_posix.sh
index bdeae5c7dfe4..25de2c1a7368 100755
--- a/build_tools/ci/test_posix.sh
+++ b/build_tools/ci/test_posix.sh
@@ -6,7 +6,7 @@ this_dir="$(cd $(dirname $0) && pwd)"
 repo_root="$(cd $this_dir/../.. && pwd)"
 torch_version="${1:-unknown}"
 
-export PYTHONPATH="$repo_root/build/tools/torch-mlir/python_packages/torch_mlir:$repo_root/projects/pt1"
+export PYTHONPATH="$repo_root/build/tools/torch-mlir/python_packages/torch_mlir:$repo_root/projects/e2e"
 
 echo "::group::Run ONNX e2e integration tests"
 python3 -m e2e_testing.main --config=onnx -v
diff --git a/docs/adding_an_e2e_test.md b/docs/adding_an_e2e_test.md
index 91eee0520f56..99df4fd216fe 100644
--- a/docs/adding_an_e2e_test.md
+++ b/docs/adding_an_e2e_test.md
@@ -5,7 +5,7 @@
 Adding support for a Torch operator in Torch-MLIR should always be accompanied
 by at least one end-to-end test to make sure the implementation of the op
 matches the behavior of PyTorch. The tests live in the
-`torch-mlir/projects/pt1/python/torch_mlir_e2e_test/test_suite` directory. When adding a new
+`torch-mlir/projects/e2e/torch_mlir_e2e_test/test_suite` directory. When adding a new
 test, choose a file that best matches the op you're testing, and if there is no
 file that best matches add a new file for your op.
 
diff --git a/docs/development.md b/docs/development.md
index 360dff8f9df8..6c947985be0f 100644
--- a/docs/development.md
+++ b/docs/development.md
@@ -463,10 +463,10 @@ Torch-MLIR has two types of tests:
 1. End-to-end execution tests. These compile and run a program and check the
    result against the expected output from execution on native Torch. These use
    a homegrown testing framework (see
-   `projects/pt1/python/torch_mlir_e2e_test/framework.py`) and the test suite
-   lives at `projects/pt1/python/torch_mlir_e2e_test/test_suite/__init__.py`.
-   The tests require to build with `TORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS` (and
-   the dependent option `TORCH_MLIR_ENABLE_JIT_IR_IMPORTER`) set to `ON`.
+   `projects/e2e/torch_mlir_e2e_test/framework.py`) and the test suite
+   lives at `projects/e2e/torch_mlir_e2e_test/test_suite/__init__.py`.
+   Some old configs require building with `TORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS`
+   (and the dependent option `TORCH_MLIR_ENABLE_JIT_IR_IMPORTER`) set to `ON`.
 
 2. Compiler and Python API unit tests. These use LLVM's `lit` testing framework.
    For example, these might involve using `torch-mlir-opt` to run a pass and
@@ -482,7 +482,7 @@ Torch-MLIR has two types of tests:
 > An `.env` file must be generated via `build_tools/write_env_file.sh` before these commands can be run.
 
 
-The following assumes you are in the `projects/pt1`  directory:
+The following assumes you are in the `projects/e2e`  directory:
 
 ```shell
 # Run all tests on the reference backend
@@ -496,7 +496,7 @@ The following assumes you are in the `projects/pt1`  directory:
 Alternatively, you can run the tests via Python directly:
 
 ```shell
-cd projects/pt1
+cd projects/e2e
 python -m e2e_testing.main -f 'AtenEmbeddingBag'
 ```
 
@@ -621,10 +621,10 @@ Here are some examples of PRs updating the LLVM and MLIR-HLO submodules:
 
 To enable ASAN, pass `-DLLVM_USE_SANITIZER=Address` to CMake. This should "just
 work" with all C++ tools like `torch-mlir-opt`. When running a Python script
-such as through `./projects/pt1/tools/e2e_test.sh`, you will need to do:
+such as through `./projects/e2e/tools/e2e_test.sh`, you will need to do:
 
 ```
-LD_PRELOAD="$(clang -print-file-name=libclang_rt.asan-x86_64.so)" ./projects/pt1/tools/e2e_test.sh -s
+LD_PRELOAD="$(clang -print-file-name=libclang_rt.asan-x86_64.so)" ./projects/e2e/tools/e2e_test.sh -s
 # See instructions here for how to get the libasan path for GCC:
 # https://stackoverflow.com/questions/48833176/get-location-of-libasan-from-gcc-clang
 ```
diff --git a/projects/CMakeLists.txt b/projects/CMakeLists.txt
index 572c4535b7a5..e6b6ed6e9c50 100644
--- a/projects/CMakeLists.txt
+++ b/projects/CMakeLists.txt
@@ -64,6 +64,11 @@ if(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER OR TORCH_MLIR_ENABLE_LTC)
   message(STATUS "TORCH_LIBRARIES = ${TORCH_LIBRARIES}")
 endif()
 
+# Include e2e testing infra.
+if(NOT TORCH_MLIR_ENABLE_ONLY_MLIR_PYTHON_BINDINGS)
+  add_subdirectory(e2e)
+endif()
+
 # Include jit_ir_common if the jit_ir importer or LTC is enabled,
 # since they both require it.
 if(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER OR TORCH_MLIR_ENABLE_LTC)
diff --git a/projects/e2e/CMakeLists.txt b/projects/e2e/CMakeLists.txt
new file mode 100644
index 000000000000..25b51aedfe7a
--- /dev/null
+++ b/projects/e2e/CMakeLists.txt
@@ -0,0 +1,7 @@
+message(STATUS "Building end-to-end testing package.")
+
+################################################################################
+# Setup python.
+################################################################################
+
+add_subdirectory(torch_mlir_e2e_test)
diff --git a/projects/pt1/e2e_testing/main.py b/projects/e2e/e2e_testing/main.py
similarity index 63%
rename from projects/pt1/e2e_testing/main.py
rename to projects/e2e/e2e_testing/main.py
index ae4986b7f96c..a47f724571a6 100644
--- a/projects/pt1/e2e_testing/main.py
+++ b/projects/e2e/e2e_testing/main.py
@@ -11,20 +11,15 @@
 
 torch.device("cpu")
 
-from torch_mlir_e2e_test.framework import run_tests
+from torch_mlir_e2e_test.framework import run_tests, TestConfig
 from torch_mlir_e2e_test.reporting import report_results
 from torch_mlir_e2e_test.registry import GLOBAL_TEST_REGISTRY
 
 
-# Available test configs.
 from torch_mlir_e2e_test.configs import (
-    LazyTensorCoreTestConfig,
+    FxImporterTestConfig,
     NativeTorchTestConfig,
     OnnxBackendTestConfig,
-    TorchScriptTestConfig,
-    TorchDynamoTestConfig,
-    JITImporterTestConfig,
-    FxImporterTestConfig,
 )
 
 from torch_mlir_e2e_test.linalg_on_tensors_backends.refbackend import (
@@ -65,30 +60,42 @@
 
 register_all_tests()
 
+DEPRECATED_CONFIGS = [
+    "torchscript",
+    "linalg",
+    "stablehlo",
+    "tosa",
+    "lazy_tensor_core",
+    "torchdynamo",
+]
+
+CONFIGS = [
+    "native_torch",
+    "onnx",
+    "onnx_tosa",
+    "fx_importer",
+    "fx_importer_stablehlo",
+    "fx_importer_tosa",
+]
+
 
 def _get_argparse():
-    config_choices = [
-        "native_torch",
-        "torchscript",
-        "linalg",
-        "stablehlo",
-        "tosa",
-        "lazy_tensor_core",
-        "torchdynamo",
-        "onnx",
-        "onnx_tosa",
-        "fx_importer",
-        "fx_importer_stablehlo",
-        "fx_importer_tosa",
-    ]
+    config_choices = CONFIGS + DEPRECATED_CONFIGS
     parser = argparse.ArgumentParser(description="Run torchscript e2e tests.")
     parser.add_argument(
         "-c",
         "--config",
         choices=config_choices,
-        default="linalg",
+        default="fx_importer",
         help=f"""
 Meaning of options:
+"onnx": export to the model via onnx and reimport using the torch-onnx-to-torch path.
+"fx_importer": run the model through the fx importer frontend and execute the graph using Linalg-on-Tensors.
+"fx_importer_stablehlo": run the model through the fx importer frontend and execute the graph using Stablehlo backend.
+"fx_importer_tosa": run the model through the fx importer frontend and execute the graph using the TOSA backend.
+"onnx_tosa": Import ONNX to Torch via the torch-onnx-to-torch path and execute the graph using the TOSA backend.
+
+The following options are deprecated:
 "linalg": run through torch-mlir"s default Linalg-on-Tensors backend.
 "tosa": run through torch-mlir"s default TOSA backend.
 "stablehlo": run through torch-mlir"s default Stablehlo backend.
@@ -96,11 +103,6 @@ def _get_argparse():
 "torchscript": compile the model to a torch.jit.ScriptModule, and then run that as-is (useful for verifying TorchScript is modeling the program correctly).
 "lazy_tensor_core": run the model through the Lazy Tensor Core frontend and execute the traced graph.
 "torchdynamo": run the model through the TorchDynamo frontend and execute the graph using Linalg-on-Tensors.
-"onnx": export to the model via onnx and reimport using the torch-onnx-to-torch path.
-"fx_importer": run the model through the fx importer frontend and execute the graph using Linalg-on-Tensors.
-"fx_importer_stablehlo": run the model through the fx importer frontend and execute the graph using Stablehlo backend.
-"fx_importer_tosa": run the model through the fx importer frontend and execute the graph using the TOSA backend.
-"onnx_tosa": Import ONNX to Torch via the torch-onnx-to-torch path and execute the graph using the TOSA backend.
 """,
     )
     parser.add_argument(
@@ -143,63 +145,106 @@ def _get_argparse():
     return parser
 
 
+def _setup_config(
+    config: str, all_test_unique_names: set[str]
+) -> tuple[TestConfig, set[str], set[str]]:
+    if config in DEPRECATED_CONFIGS:
+        return _setup_deprecated_config(config, all_test_unique_names)
+    if config == "native_torch":
+        return (
+            NativeTorchTestConfig(),
+            set(),
+            set(),
+        )
+    if config == "fx_importer":
+        return (
+            FxImporterTestConfig(RefBackendLinalgOnTensorsBackend()),
+            FX_IMPORTER_XFAIL_SET,
+            FX_IMPORTER_CRASHING_SET,
+        )
+    if config == "fx_importer_stablehlo":
+        return (
+            FxImporterTestConfig(LinalgOnTensorsStablehloBackend(), "stablehlo"),
+            FX_IMPORTER_STABLEHLO_XFAIL_SET,
+            FX_IMPORTER_STABLEHLO_CRASHING_SET,
+        )
+    if config == "fx_importer_tosa":
+        return (
+            FxImporterTestConfig(LinalgOnTensorsTosaBackend(), "tosa"),
+            FX_IMPORTER_TOSA_XFAIL_SET,
+            FX_IMPORTER_TOSA_CRASHING_SET,
+        )
+    if config == "onnx":
+        return (
+            OnnxBackendTestConfig(RefBackendLinalgOnTensorsBackend()),
+            ONNX_XFAIL_SET,
+            ONNX_CRASHING_SET,
+        )
+    if config == "onnx_tosa":
+        return (
+            OnnxBackendTestConfig(LinalgOnTensorsTosaBackend(), output_type="tosa"),
+            ONNX_TOSA_XFAIL_SET,
+            ONNX_TOSA_CRASHING_SET,
+        )
+    raise ValueError(f'Got invalid config, "{config}". Choices: {CONFIGS}')
+
+
+def _setup_deprecated_config(
+    config: str, all_test_unique_names: set[str]
+) -> tuple[TestConfig, set[str], set[str]]:
+    print(f"Warning: the selected config, '{config}', is not actively supported.")
+    import torch_mlir_e2e_test.pt1_configs as _configs
+
+    if config == "linalg":
+        return (
+            _configs.JITImporterTestConfig(RefBackendLinalgOnTensorsBackend()),
+            LINALG_XFAIL_SET,
+            LINALG_CRASHING_SET,
+        )
+    if config == "stablehlo":
+        return (
+            _configs.JITImporterTestConfig(
+                LinalgOnTensorsStablehloBackend(), "stablehlo"
+            ),
+            all_test_unique_names - STABLEHLO_PASS_SET,
+            STABLEHLO_CRASHING_SET,
+        )
+    if config == "tosa":
+        return (
+            _configs.JITImporterTestConfig(LinalgOnTensorsTosaBackend(), "tosa"),
+            all_test_unique_names - TOSA_PASS_SET,
+            TOSA_CRASHING_SET,
+        )
+    if config == "torchscript":
+        return (
+            _configs.TorchScriptTestConfig(),
+            set(),
+            set(),
+        )
+    if config == "lazy_tensor_core":
+        return (
+            _configs.LazyTensorCoreTestConfig(),
+            LTC_XFAIL_SET,
+            LTC_CRASHING_SET,
+        )
+    if config == "torchdynamo":
+        return (
+            _configs.TorchDynamoTestConfig(
+                RefBackendLinalgOnTensorsBackend(generate_runtime_verification=False)
+            ),
+            TORCHDYNAMO_XFAIL_SET,
+            TORCHDYNAMO_CRASHING_SET,
+        )
+    raise ValueError(f"Unhandled config {config}.")
+
+
 def main():
     args = _get_argparse().parse_args()
 
     all_test_unique_names = set(test.unique_name for test in GLOBAL_TEST_REGISTRY)
 
     # Find the selected config.
-    if args.config == "linalg":
-        config = JITImporterTestConfig(RefBackendLinalgOnTensorsBackend())
-        xfail_set = LINALG_XFAIL_SET
-        crashing_set = LINALG_CRASHING_SET
-    elif args.config == "stablehlo":
-        config = JITImporterTestConfig(LinalgOnTensorsStablehloBackend(), "stablehlo")
-        xfail_set = all_test_unique_names - STABLEHLO_PASS_SET
-        crashing_set = STABLEHLO_CRASHING_SET
-    elif args.config == "tosa":
-        config = JITImporterTestConfig(LinalgOnTensorsTosaBackend(), "tosa")
-        xfail_set = all_test_unique_names - TOSA_PASS_SET
-        crashing_set = TOSA_CRASHING_SET
-    elif args.config == "native_torch":
-        config = NativeTorchTestConfig()
-        xfail_set = set()
-        crashing_set = set()
-    elif args.config == "torchscript":
-        config = TorchScriptTestConfig()
-        xfail_set = set()
-        crashing_set = set()
-    elif args.config == "lazy_tensor_core":
-        config = LazyTensorCoreTestConfig()
-        xfail_set = LTC_XFAIL_SET
-        crashing_set = LTC_CRASHING_SET
-    elif args.config == "fx_importer":
-        config = FxImporterTestConfig(RefBackendLinalgOnTensorsBackend())
-        xfail_set = FX_IMPORTER_XFAIL_SET
-        crashing_set = FX_IMPORTER_CRASHING_SET
-    elif args.config == "fx_importer_stablehlo":
-        config = FxImporterTestConfig(LinalgOnTensorsStablehloBackend(), "stablehlo")
-        xfail_set = FX_IMPORTER_STABLEHLO_XFAIL_SET
-        crashing_set = FX_IMPORTER_STABLEHLO_CRASHING_SET
-    elif args.config == "fx_importer_tosa":
-        config = FxImporterTestConfig(LinalgOnTensorsTosaBackend(), "tosa")
-        xfail_set = FX_IMPORTER_TOSA_XFAIL_SET
-        crashing_set = FX_IMPORTER_TOSA_CRASHING_SET
-    elif args.config == "torchdynamo":
-        # TODO: Enanble runtime verification and extend crashing set.
-        config = TorchDynamoTestConfig(
-            RefBackendLinalgOnTensorsBackend(generate_runtime_verification=False)
-        )
-        xfail_set = TORCHDYNAMO_XFAIL_SET
-        crashing_set = TORCHDYNAMO_CRASHING_SET
-    elif args.config == "onnx":
-        config = OnnxBackendTestConfig(RefBackendLinalgOnTensorsBackend())
-        xfail_set = ONNX_XFAIL_SET
-        crashing_set = ONNX_CRASHING_SET
-    elif args.config == "onnx_tosa":
-        config = OnnxBackendTestConfig(LinalgOnTensorsTosaBackend(), output_type="tosa")
-        xfail_set = ONNX_TOSA_XFAIL_SET
-        crashing_set = ONNX_TOSA_CRASHING_SET
+    config, xfail_set, crashing_set = _setup_config(args.config, all_test_unique_names)
 
     do_not_attempt = set(
         args.crashing_tests_to_not_attempt_to_run_and_a_bug_is_filed or []
@@ -231,11 +276,6 @@ def main():
 
     # Report the test results.
     failed = report_results(results, xfail_set, args.verbose, args.config)
-    if args.config == "torchdynamo":
-        print(
-            "\033[91mWarning: the TorchScript based dynamo support is deprecated. "
-            "The config for torchdynamo is planned to be removed in the future.\033[0m"
-        )
     if args.ignore_failures:
         sys.exit(0)
     sys.exit(1 if failed else 0)
diff --git a/projects/pt1/e2e_testing/xfail_sets.py b/projects/e2e/e2e_testing/xfail_sets.py
similarity index 99%
rename from projects/pt1/e2e_testing/xfail_sets.py
rename to projects/e2e/e2e_testing/xfail_sets.py
index f494bc8574e6..b9a505a1efa2 100644
--- a/projects/pt1/e2e_testing/xfail_sets.py
+++ b/projects/e2e/e2e_testing/xfail_sets.py
@@ -11,7 +11,7 @@
 # might be used to keep more elaborate sets of testing configurations).
 
 from torch_mlir_e2e_test.test_suite import COMMON_TORCH_MLIR_LOWERING_XFAILS
-from torch_mlir._version import torch_version_for_comparison, version
+from torch_mlir_e2e_test.utils import torch_version_for_comparison, version
 
 print(f"TORCH_VERSION_FOR_COMPARISON =", torch_version_for_comparison())
 
diff --git a/projects/pt1/tools/e2e_test.sh b/projects/e2e/tools/e2e_test.sh
similarity index 100%
rename from projects/pt1/tools/e2e_test.sh
rename to projects/e2e/tools/e2e_test.sh
diff --git a/projects/pt1/python/torch_mlir_e2e_test/CMakeLists.txt b/projects/e2e/torch_mlir_e2e_test/CMakeLists.txt
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/CMakeLists.txt
rename to projects/e2e/torch_mlir_e2e_test/CMakeLists.txt
diff --git a/projects/pt1/python/torch_mlir_e2e_test/__init__.py b/projects/e2e/torch_mlir_e2e_test/__init__.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/__init__.py
rename to projects/e2e/torch_mlir_e2e_test/__init__.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/annotations.py b/projects/e2e/torch_mlir_e2e_test/annotations.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/annotations.py
rename to projects/e2e/torch_mlir_e2e_test/annotations.py
diff --git a/projects/e2e/torch_mlir_e2e_test/configs/__init__.py b/projects/e2e/torch_mlir_e2e_test/configs/__init__.py
new file mode 100644
index 000000000000..77a874b357d5
--- /dev/null
+++ b/projects/e2e/torch_mlir_e2e_test/configs/__init__.py
@@ -0,0 +1,8 @@
+# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+# Also available under a BSD-style license. See LICENSE.
+
+from .fx_importer_backend import FxImporterTestConfig
+from .native_torch import NativeTorchTestConfig
+from .onnx_backend import OnnxBackendTestConfig
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/fx_importer_backend.py b/projects/e2e/torch_mlir_e2e_test/configs/fx_importer_backend.py
similarity index 96%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/fx_importer_backend.py
rename to projects/e2e/torch_mlir_e2e_test/configs/fx_importer_backend.py
index 396d43638a42..a116a94dabd3 100644
--- a/projects/pt1/python/torch_mlir_e2e_test/configs/fx_importer_backend.py
+++ b/projects/e2e/torch_mlir_e2e_test/configs/fx_importer_backend.py
@@ -149,9 +149,12 @@ def _export_run(self, artifact: torch.nn.Module, trace: Trace) -> Trace:
             )
             module = self._backend.compile(module)
             backend_module = self._backend.load(module)
+            input_buffers = prog.graph_signature.inputs_to_buffers.values()
             params = {
                 # **dict(artifact.named_parameters(remove_duplicate=False)),
-                **dict(artifact.named_buffers(remove_duplicate=False)),
+                name: value
+                for (name, value) in artifact.named_buffers(remove_duplicate=False)
+                if name in input_buffers
             }
             params_flat, params_spec = pytree.tree_flatten(params)
             params_flat = list(params_flat)
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/native_torch.py b/projects/e2e/torch_mlir_e2e_test/configs/native_torch.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/native_torch.py
rename to projects/e2e/torch_mlir_e2e_test/configs/native_torch.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/onnx_backend.py b/projects/e2e/torch_mlir_e2e_test/configs/onnx_backend.py
similarity index 99%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/onnx_backend.py
rename to projects/e2e/torch_mlir_e2e_test/configs/onnx_backend.py
index 5461dc04c0d1..44e9801ecda7 100644
--- a/projects/pt1/python/torch_mlir_e2e_test/configs/onnx_backend.py
+++ b/projects/e2e/torch_mlir_e2e_test/configs/onnx_backend.py
@@ -10,7 +10,6 @@
 import onnx
 import torch
 from torch.onnx._constants import ONNX_TORCHSCRIPT_EXPORTER_MAX_OPSET as max_opset_ver
-import torch_mlir
 
 from torch_mlir_e2e_test.framework import TestConfig, Trace, TraceItem
 from torch_mlir_e2e_test.utils import convert_annotations_to_placeholders
@@ -82,6 +81,7 @@ def convert_onnx(model, inputs):
         model,
         examples,
         buffer,
+        dynamo=False,
         input_names=input_names,
         dynamic_axes=dynamic_tensors,
         opset_version=max_opset_ver,
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/utils.py b/projects/e2e/torch_mlir_e2e_test/configs/utils.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/utils.py
rename to projects/e2e/torch_mlir_e2e_test/configs/utils.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/debug/lockstep.py b/projects/e2e/torch_mlir_e2e_test/debug/lockstep.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/debug/lockstep.py
rename to projects/e2e/torch_mlir_e2e_test/debug/lockstep.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/framework.py b/projects/e2e/torch_mlir_e2e_test/framework.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/framework.py
rename to projects/e2e/torch_mlir_e2e_test/framework.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/linalg_on_tensors_backends/__init__.py b/projects/e2e/torch_mlir_e2e_test/linalg_on_tensors_backends/__init__.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/linalg_on_tensors_backends/__init__.py
rename to projects/e2e/torch_mlir_e2e_test/linalg_on_tensors_backends/__init__.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/linalg_on_tensors_backends/abc.py b/projects/e2e/torch_mlir_e2e_test/linalg_on_tensors_backends/abc.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/linalg_on_tensors_backends/abc.py
rename to projects/e2e/torch_mlir_e2e_test/linalg_on_tensors_backends/abc.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/linalg_on_tensors_backends/refbackend.py b/projects/e2e/torch_mlir_e2e_test/linalg_on_tensors_backends/refbackend.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/linalg_on_tensors_backends/refbackend.py
rename to projects/e2e/torch_mlir_e2e_test/linalg_on_tensors_backends/refbackend.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/__init__.py b/projects/e2e/torch_mlir_e2e_test/pt1_configs/__init__.py
similarity index 75%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/__init__.py
rename to projects/e2e/torch_mlir_e2e_test/pt1_configs/__init__.py
index 62e731349a95..0f88ab202de5 100644
--- a/projects/pt1/python/torch_mlir_e2e_test/configs/__init__.py
+++ b/projects/e2e/torch_mlir_e2e_test/pt1_configs/__init__.py
@@ -3,10 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 # Also available under a BSD-style license. See LICENSE.
 
+from .jit_importer_backend import JITImporterTestConfig
 from .lazy_tensor_core import LazyTensorCoreTestConfig
-from .native_torch import NativeTorchTestConfig
-from .onnx_backend import OnnxBackendTestConfig
-from .torchscript import TorchScriptTestConfig
 from .torchdynamo import TorchDynamoTestConfig
-from .jit_importer_backend import JITImporterTestConfig
-from .fx_importer_backend import FxImporterTestConfig
+from .torchscript import TorchScriptTestConfig
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/jit_importer_backend.py b/projects/e2e/torch_mlir_e2e_test/pt1_configs/jit_importer_backend.py
similarity index 98%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/jit_importer_backend.py
rename to projects/e2e/torch_mlir_e2e_test/pt1_configs/jit_importer_backend.py
index 4f547d531294..4377f9b4b616 100644
--- a/projects/pt1/python/torch_mlir_e2e_test/configs/jit_importer_backend.py
+++ b/projects/e2e/torch_mlir_e2e_test/pt1_configs/jit_importer_backend.py
@@ -12,7 +12,7 @@
 from torch_mlir_e2e_test.framework import TestConfig, Trace, TraceItem
 from torch_mlir_e2e_test.utils import convert_annotations_to_placeholders
 
-from .utils import (
+from torch_mlir_e2e_test.configs.utils import (
     recursively_convert_to_numpy,
     recursively_convert_from_numpy,
 )
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/lazy_tensor_core.py b/projects/e2e/torch_mlir_e2e_test/pt1_configs/lazy_tensor_core.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/lazy_tensor_core.py
rename to projects/e2e/torch_mlir_e2e_test/pt1_configs/lazy_tensor_core.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/torchdynamo.py b/projects/e2e/torch_mlir_e2e_test/pt1_configs/torchdynamo.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/torchdynamo.py
rename to projects/e2e/torch_mlir_e2e_test/pt1_configs/torchdynamo.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/configs/torchscript.py b/projects/e2e/torch_mlir_e2e_test/pt1_configs/torchscript.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/configs/torchscript.py
rename to projects/e2e/torch_mlir_e2e_test/pt1_configs/torchscript.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/registry.py b/projects/e2e/torch_mlir_e2e_test/registry.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/registry.py
rename to projects/e2e/torch_mlir_e2e_test/registry.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/reporting.py b/projects/e2e/torch_mlir_e2e_test/reporting.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/reporting.py
rename to projects/e2e/torch_mlir_e2e_test/reporting.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/stablehlo_backends/__init__.py b/projects/e2e/torch_mlir_e2e_test/stablehlo_backends/__init__.py
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rename from projects/pt1/python/torch_mlir_e2e_test/stablehlo_backends/__init__.py
rename to projects/e2e/torch_mlir_e2e_test/stablehlo_backends/__init__.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/stablehlo_backends/abc.py b/projects/e2e/torch_mlir_e2e_test/stablehlo_backends/abc.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/stablehlo_backends/abc.py
rename to projects/e2e/torch_mlir_e2e_test/stablehlo_backends/abc.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/stablehlo_backends/linalg_on_tensors.py b/projects/e2e/torch_mlir_e2e_test/stablehlo_backends/linalg_on_tensors.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/stablehlo_backends/linalg_on_tensors.py
rename to projects/e2e/torch_mlir_e2e_test/stablehlo_backends/linalg_on_tensors.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/__init__.py b/projects/e2e/torch_mlir_e2e_test/test_suite/__init__.py
similarity index 96%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/__init__.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/__init__.py
index bd82cd1c11b0..93cdc1560673 100644
--- a/projects/pt1/python/torch_mlir_e2e_test/test_suite/__init__.py
+++ b/projects/e2e/torch_mlir_e2e_test/test_suite/__init__.py
@@ -7,8 +7,6 @@
 # These represent further work needed in torch-mlir to lower them properly
 # to the backend contract.
 
-from torch_mlir._version import torch_version_for_comparison, version
-
 COMMON_TORCH_MLIR_LOWERING_XFAILS = {
     "NativeGroupNormBackwardModule_basic",
     "QuantizedMLP_basic",
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/arange.py b/projects/e2e/torch_mlir_e2e_test/test_suite/arange.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/arange.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/arange.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/backprop.py b/projects/e2e/torch_mlir_e2e_test/test_suite/backprop.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/backprop.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/backprop.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/basic.py b/projects/e2e/torch_mlir_e2e_test/test_suite/basic.py
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rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/basic.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/basic.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/cast.py b/projects/e2e/torch_mlir_e2e_test/test_suite/cast.py
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rename to projects/e2e/torch_mlir_e2e_test/test_suite/cast.py
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similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/stats.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/stats.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/threshold.py b/projects/e2e/torch_mlir_e2e_test/test_suite/threshold.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/threshold.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/threshold.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/timeout.py b/projects/e2e/torch_mlir_e2e_test/test_suite/timeout.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/timeout.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/timeout.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/type_conversion.py b/projects/e2e/torch_mlir_e2e_test/test_suite/type_conversion.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/type_conversion.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/type_conversion.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/type_promotion.py b/projects/e2e/torch_mlir_e2e_test/test_suite/type_promotion.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/type_promotion.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/type_promotion.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/test_suite/vision_models.py b/projects/e2e/torch_mlir_e2e_test/test_suite/vision_models.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/test_suite/vision_models.py
rename to projects/e2e/torch_mlir_e2e_test/test_suite/vision_models.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/tosa_backends/__init__.py b/projects/e2e/torch_mlir_e2e_test/tosa_backends/__init__.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/tosa_backends/__init__.py
rename to projects/e2e/torch_mlir_e2e_test/tosa_backends/__init__.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/tosa_backends/abc.py b/projects/e2e/torch_mlir_e2e_test/tosa_backends/abc.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/tosa_backends/abc.py
rename to projects/e2e/torch_mlir_e2e_test/tosa_backends/abc.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/tosa_backends/linalg_on_tensors.py b/projects/e2e/torch_mlir_e2e_test/tosa_backends/linalg_on_tensors.py
similarity index 100%
rename from projects/pt1/python/torch_mlir_e2e_test/tosa_backends/linalg_on_tensors.py
rename to projects/e2e/torch_mlir_e2e_test/tosa_backends/linalg_on_tensors.py
diff --git a/projects/pt1/python/torch_mlir_e2e_test/utils.py b/projects/e2e/torch_mlir_e2e_test/utils.py
similarity index 84%
rename from projects/pt1/python/torch_mlir_e2e_test/utils.py
rename to projects/e2e/torch_mlir_e2e_test/utils.py
index 0ab47efa9284..b3a144f37387 100644
--- a/projects/pt1/python/torch_mlir_e2e_test/utils.py
+++ b/projects/e2e/torch_mlir_e2e_test/utils.py
@@ -3,6 +3,9 @@
 # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 # Also available under a BSD-style license. See LICENSE.
 
+from packaging import version
+import torch
+
 from torch_mlir.compiler_utils import TensorPlaceholder
 from torch_mlir_e2e_test.annotations import TORCH_MLIR_ARG_ANNOTATIONS_ATTR_NAME
 
@@ -22,3 +25,8 @@ def convert_annotations_to_placeholders(forward_method):
             )
         placeholders.append(TensorPlaceholder(annotation[0], annotation[1]))
     return placeholders
+
+
+def torch_version_for_comparison():
+    # Ignore +cpu, +cu117m, etc. in comparisons
+    return version.parse(torch.__version__.split("+", 1)[0])
diff --git a/projects/pt1/python/CMakeLists.txt b/projects/pt1/python/CMakeLists.txt
index c86f8e52c881..ca0febf011e4 100644
--- a/projects/pt1/python/CMakeLists.txt
+++ b/projects/pt1/python/CMakeLists.txt
@@ -41,7 +41,6 @@ endif()
 if(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER)
   add_subdirectory(torch_mlir/jit_ir_importer)
   add_subdirectory(torch_mlir/csrc/jit_ir_importer)
-  add_subdirectory(torch_mlir_e2e_test)
 endif()
 
 ################################################################################
diff --git a/projects/pt1/python/test/torchscript_e2e_test/basic.py b/projects/pt1/python/test/torchscript_e2e_test/basic.py
index 83a73900d6b8..096855e77f06 100644
--- a/projects/pt1/python/test/torchscript_e2e_test/basic.py
+++ b/projects/pt1/python/test/torchscript_e2e_test/basic.py
@@ -10,7 +10,7 @@
 from torch_mlir_e2e_test.framework import run_tests, TestUtils
 from torch_mlir_e2e_test.reporting import report_results
 from torch_mlir_e2e_test.registry import register_test_case, GLOBAL_TEST_REGISTRY
-from torch_mlir_e2e_test.configs import TorchScriptTestConfig
+from torch_mlir_e2e_test.pt1_configs import TorchScriptTestConfig
 
 
 class MmModule(torch.nn.Module):
diff --git a/projects/pt1/python/test/torchscript_e2e_test/compilation_failure.py b/projects/pt1/python/test/torchscript_e2e_test/compilation_failure.py
index 4aac65df8aae..7f1c8d6424a5 100644
--- a/projects/pt1/python/test/torchscript_e2e_test/compilation_failure.py
+++ b/projects/pt1/python/test/torchscript_e2e_test/compilation_failure.py
@@ -10,7 +10,7 @@
 from torch_mlir_e2e_test.framework import run_tests, TestUtils
 from torch_mlir_e2e_test.reporting import report_results
 from torch_mlir_e2e_test.registry import register_test_case, GLOBAL_TEST_REGISTRY
-from torch_mlir_e2e_test.configs import TorchScriptTestConfig
+from torch_mlir_e2e_test.pt1_configs import TorchScriptTestConfig
 
 
 class MmModule(torch.nn.Module):
diff --git a/projects/pt1/python/test/torchscript_e2e_test/error_reports.py b/projects/pt1/python/test/torchscript_e2e_test/error_reports.py
index f6c949c3d828..62062203ce73 100644
--- a/projects/pt1/python/test/torchscript_e2e_test/error_reports.py
+++ b/projects/pt1/python/test/torchscript_e2e_test/error_reports.py
@@ -12,7 +12,7 @@
 from torch_mlir_e2e_test.framework import run_tests, TestUtils
 from torch_mlir_e2e_test.reporting import report_results
 from torch_mlir_e2e_test.registry import register_test_case, GLOBAL_TEST_REGISTRY
-from torch_mlir_e2e_test.configs import TorchScriptTestConfig
+from torch_mlir_e2e_test.pt1_configs import TorchScriptTestConfig
 
 # CHECK: Unexpected outcome summary:
 # CHECK: FAIL - "ErroneousModule_basic"
diff --git a/projects/pt1/python/test/torchscript_e2e_test/non_tensor_values.py b/projects/pt1/python/test/torchscript_e2e_test/non_tensor_values.py
index 8991229f0a29..b3c09efc4276 100644
--- a/projects/pt1/python/test/torchscript_e2e_test/non_tensor_values.py
+++ b/projects/pt1/python/test/torchscript_e2e_test/non_tensor_values.py
@@ -12,7 +12,7 @@
 from torch_mlir_e2e_test.framework import run_tests, TestUtils
 from torch_mlir_e2e_test.reporting import report_results
 from torch_mlir_e2e_test.registry import register_test_case, GLOBAL_TEST_REGISTRY
-from torch_mlir_e2e_test.configs import TorchScriptTestConfig
+from torch_mlir_e2e_test.pt1_configs import TorchScriptTestConfig
 
 
 class NonTensorValuesModule(torch.nn.Module):
diff --git a/projects/pt1/python/test/torchscript_e2e_test/runtime_failure.py b/projects/pt1/python/test/torchscript_e2e_test/runtime_failure.py
index b7609bc2c0e2..415785472316 100644
--- a/projects/pt1/python/test/torchscript_e2e_test/runtime_failure.py
+++ b/projects/pt1/python/test/torchscript_e2e_test/runtime_failure.py
@@ -10,7 +10,7 @@
 from torch_mlir_e2e_test.framework import run_tests, TestUtils
 from torch_mlir_e2e_test.reporting import report_results
 from torch_mlir_e2e_test.registry import register_test_case, GLOBAL_TEST_REGISTRY
-from torch_mlir_e2e_test.configs import TorchScriptTestConfig
+from torch_mlir_e2e_test.pt1_configs import TorchScriptTestConfig
 
 
 class MmModule(torch.nn.Module):
diff --git a/projects/pt1/python/test/torchscript_e2e_test/submodule.py b/projects/pt1/python/test/torchscript_e2e_test/submodule.py
index ae7ee878bf36..6656da1b61c5 100644
--- a/projects/pt1/python/test/torchscript_e2e_test/submodule.py
+++ b/projects/pt1/python/test/torchscript_e2e_test/submodule.py
@@ -10,7 +10,7 @@
 from torch_mlir_e2e_test.framework import run_tests, TestUtils
 from torch_mlir_e2e_test.reporting import report_results
 from torch_mlir_e2e_test.registry import register_test_case, GLOBAL_TEST_REGISTRY
-from torch_mlir_e2e_test.configs import TorchScriptTestConfig
+from torch_mlir_e2e_test.pt1_configs import TorchScriptTestConfig
 
 
 class Submodule2(torch.nn.Module):
diff --git a/pytorch-hash.txt b/pytorch-hash.txt
index b1886c1abddd..582695ddc3c7 100644
--- a/pytorch-hash.txt
+++ b/pytorch-hash.txt
@@ -1 +1 @@
-7956a1d1d0dc7cdaaaa42d0863eebb1b1e75eb65
+0dfcb1a118dd45c544a156e1d86566368e528e69
diff --git a/pytorch-requirements.txt b/pytorch-requirements.txt
index 87cbf28f5a98..ac81781a6b2b 100644
--- a/pytorch-requirements.txt
+++ b/pytorch-requirements.txt
@@ -1,3 +1,3 @@
 -f https://download.pytorch.org/whl/nightly/cpu/torch/
 --pre
-torch==2.9.0.dev20250820
+torch==2.10.0.dev20251016
diff --git a/torchvision-requirements.txt b/torchvision-requirements.txt
index 68c96010c96f..546bfb138e43 100644
--- a/torchvision-requirements.txt
+++ b/torchvision-requirements.txt
@@ -1,3 +1,3 @@
 -f https://download.pytorch.org/whl/nightly/cpu/torchvision/
 --pre
-torchvision==0.24.0.dev20250820
+torchvision==0.25.0.dev20251016