Update base for Update on "[ExecuTorch][Llama] Split custom sdpa op and kv cache"

Summary:
This enables us to do more easier module swap with model definitions
from torchtune

Test Plan:
CI

Reviewers:

Subscribers:

Tasks:

Tags:

Differential Revision: [D67914056](https://our.internmc.facebook.com/intern/diff/D67914056)

[ghstack-poisoned]

Author: kimishpatel

.ci/docker/ci_commit_pins/buck2.txt

@@ -1 +1 @@
-2024-05-15
+2024-12-16

.ci/docker/ci_commit_pins/pytorch.txt

@@ -1 +1 @@
-2ea4b56ec872424e486c4fe2d55da061067a2ed3
+0a94bb432ed75cc2d950d81b2921363218a7e459

.ci/docker/conda-env-ci.txt

@@ -1,2 +1,4 @@
 cmake=3.22.1
 ninja=1.10.2
+libuv
+pkg-config

.ci/scripts/setup-arm-baremetal-tools.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+# Copyright 2024 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# NB: This function could be used to install Arm dependencies
+# Setup arm example environment (including TOSA tools)
+git config --global user.email "[email protected]"
+git config --global user.name "Github Executorch"
+bash examples/arm/setup.sh --i-agree-to-the-contained-eula

.ci/scripts/setup-macos.sh

@@ -131,5 +131,9 @@ if [[ -z "${GITHUB_RUNNER:-}" ]]; then
 fi
 
 print_cmake_info
-install_executorch
+install_pytorch_and_domains
+# We build PyTorch from source here instead of using nightly. This allows CI to test against
+# the pinned commit from PyTorch
+install_executorch "use-pt-pinned-commit"
 build_executorch_runner "${BUILD_TOOL}"
+do_not_use_nightly_on_ci

.ci/scripts/utils.sh

@@ -40,6 +40,42 @@ install_pip_dependencies() {
   popd || return
 }
 
+install_domains() {
+  echo "Install torchvision and torchaudio"
+  pip install --no-use-pep517 --user "git+https://github.com/pytorch/audio.git@${TORCHAUDIO_VERSION}"
+  pip install --no-use-pep517 --user "git+https://github.com/pytorch/vision.git@${TORCHVISION_VERSION}"
+}
+
+install_pytorch_and_domains() {
+  pushd .ci/docker || return
+  TORCH_VERSION=$(cat ci_commit_pins/pytorch.txt)
+  popd || return
+
+  git clone https://github.com/pytorch/pytorch.git
+
+  # Fetch the target commit
+  pushd pytorch || return
+  git checkout "${TORCH_VERSION}"
+  git submodule update --init --recursive
+
+  export USE_DISTRIBUTED=1
+  # Then build and install PyTorch
+  python setup.py bdist_wheel
+  pip install "$(echo dist/*.whl)"
+
+  # Grab the pinned audio and vision commits from PyTorch
+  TORCHAUDIO_VERSION=$(cat .github/ci_commit_pins/audio.txt)
+  export TORCHAUDIO_VERSION
+  TORCHVISION_VERSION=$(cat .github/ci_commit_pins/vision.txt)
+  export TORCHVISION_VERSION
+
+  install_domains
+
+  popd || return
+  # Print sccache stats for debugging
+  sccache --show-stats || true
+}
+
 install_flatc_from_source() {
   # NB: This function could be used to install flatbuffer from source
   pushd third-party/flatbuffers || return
@@ -59,17 +95,6 @@ install_flatc_from_source() {
   popd || return
 }
 
-install_arm() {
-  # NB: This function could be used to install Arm dependencies
-  # Setup arm example environment (including TOSA tools)
-  git config --global user.email "[email protected]"
-  git config --global user.name "Github Executorch"
-  bash examples/arm/setup.sh --i-agree-to-the-contained-eula
-
-  # Test tosa_reference flow
-  source examples/arm/ethos-u-scratch/setup_path.sh
-}
-
 build_executorch_runner_buck2() {
   # Build executorch runtime with retry as this step is flaky on macos CI
   retry buck2 build //examples/portable/executor_runner:executor_runner

.github/workflows/apple-perf.yml

@@ -410,7 +410,7 @@ jobs:
     runs-on: linux.2xlarge
     steps:
       - name: Download the apps from GitHub
-        uses: actions/download-artifact@v3
+        uses: actions/download-artifact@v4
         with:
           # The name here needs to match the name of the upload-artifact parameter
           name: ios-apps

.github/workflows/apple.yml

@@ -53,7 +53,7 @@ jobs:
       ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
       timeout: 90
       secrets-env: BUILD_CERTIFICATE_BASE64 EXECUTORCH_DEMO_BUILD_PROVISION_PROFILE_BASE64 KEYCHAIN_PASSWORD
-      upload-artifact: ios-apps
+      upload-artifact: ios-demo-app
       script: |
         set -eux
 
@@ -83,10 +83,10 @@ jobs:
     runs-on: linux.2xlarge
     steps:
       - name: Download the artifacts from GitHub
-        uses: actions/download-artifact@v3
+        uses: actions/download-artifact@v4
         with:
           # The name here needs to match the name of the upload-artifact parameter
-          name: ios-apps
+          name: ios-demo-app
           path: ${{ runner.temp }}/artifacts/
 
       - name: Verify the artifacts
@@ -216,7 +216,7 @@ jobs:
           role-to-assume: arn:aws:iam::308535385114:role/gha_executorch_upload-frameworks-ios
           aws-region: us-east-1
       - name: Download the artifact
-        uses: actions/download-artifact@v3
+        uses: actions/download-artifact@v4
         with:
           # NB: The name here needs to match the upload-artifact name from build-frameworks-ios job
           name: executorch-frameworks-ios
@@ -291,7 +291,7 @@ jobs:
       python-version: '3.11'
       submodules: 'true'
       ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
-      upload-artifact: ios-apps
+      upload-artifact: ios-benchmark-app
       secrets-env: BUILD_CERTIFICATE_BASE64 EXECUTORCH_BENCHMARK_BUILD_PROVISION_PROFILE_BASE64 KEYCHAIN_PASSWORD
       timeout: 90
       script: |

.github/workflows/pull.yml

@@ -354,13 +354,11 @@ jobs:
         EXECUTORCH_BUILD_ARM_BAREMETAL=ON \
         .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
 
-        source .ci/scripts/utils.sh
         # Install Arm dependencies
-        install_arm
-
-        # Run pytest with coverage
-        pytest -c /dev/null -v -n auto --cov=./ --cov-report=xml backends/arm/test
+        .ci/scripts/setup-arm-baremetal-tools.sh
 
+        # Run pytest without simulator
+        backends/arm/test/test_arm_baremetal.sh test_pytest
 
   test-llama-runner-qnn-linux:
     name: test-llama-runner-qnn-linux

.github/workflows/trunk.yml

@@ -146,14 +146,15 @@ jobs:
         source .ci/scripts/utils.sh
         install_executorch
 
-        install_arm
+        .ci/scripts/setup-arm-baremetal-tools.sh
 
         # Increase number of files user can monitor to bypass buck failures.
         # Hopefully this is high enough for this setup.
         sudo sysctl fs.inotify.max_user_watches=1048576 # 1024 * 1024
 
         # Test ethos-u delegate examples with run.sh
-        PYTHON_EXECUTABLE=python bash examples/arm/run.sh examples/arm/ethos-u-scratch/
+        backends/arm/test/test_arm_baremetal.sh test_run_ethosu_fvp
+
 
   test-arm-reference-delegation:
     name: test-arm-reference-delegation
@@ -172,10 +173,10 @@ jobs:
         source .ci/scripts/utils.sh
         install_executorch
 
-        install_arm
+        .ci/scripts/setup-arm-baremetal-tools.sh
 
-        # Run arm unit tests
-        pytest -c /dev/null -v -n auto --cov=./ --cov-report=xml backends/arm/test
+        # Run arm unit tests using the simulator
+        backends/arm/test/test_arm_baremetal.sh test_pytest_ethosu_fvp
 
   test-coreml-delegate:
     name: test-coreml-delegate

.gitmodules

@@ -66,7 +66,7 @@
 	url = https://github.com/pybind/pybind11.git
 [submodule "backends/cadence/fusion_g3/third-party/nnlib/nnlib-FusionG3"]
 	path = backends/cadence/fusion_g3/third-party/nnlib/nnlib-FusionG3
-	url = https://github.com/foss-xtensa/nnlib-FusionG3/
+	url = https://github.com/foss-xtensa/nnlib-FusionG3.git
 [submodule "third-party/ao"]
 	path = third-party/ao
 	url = https://github.com/pytorch/ao.git

CONTRIBUTING.md

@@ -197,7 +197,7 @@ If it's not clear how to add a test for your PR, take a look at the blame for
 the code you're modifying and find an author who has more context. Ask them
 for their help in the PR comments.
 
-TODO: Explain how to run tests locally without needing to push and wait for CI.
+The `test/run_oss_cpp_tests.sh` script will build and run C++ tests locally.
 
 ### Continuous Integration
 See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of

backends/apple/mps/mps_preprocess.py

@@ -32,6 +32,9 @@
     CompileSpec,
     PreprocessResult,
 )
+
+from executorch.exir.passes.memory_format_ops_pass import DimOrderOpsRevertPass
+from executorch.exir.program._program import _transform
 from torch.export.exported_program import ExportedProgram
 
 FORMAT = "[%(levelname)s %(asctime)s %(filename)s:%(lineno)s] %(message)s"
@@ -83,6 +86,9 @@ def preprocess(
         #    FlatBuffer graph, process the `output` nodes and add their id to
         #    the `output_ids` array in the schema.
 
+        # TODO: Remove this once we have a better support for the dim-order ops.
+        edge_program = _transform(edge_program, DimOrderOpsRevertPass())
+
         mps_graph = MPSGraph(
             version="0",
             mps_nodes=[],

backends/apple/mps/operators/constant_ops.py

@@ -79,6 +79,25 @@ def define_node(
         )
 
 
+@register_node_visitor
+class ToDimOrderEmptyVisitor(NodeVisitor):
+    target = ["dim_order_ops._empty_dim_order.default"]
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        mps_graph: MPSGraph,
+    ) -> None:
+        # We should never get here, because DimOrderOpsRevertPass replaces this with an aten.empty.memory_format op
+        # But if we do, we can't handle it ATM, so raise an exception
+        raise NotImplementedError(
+            "dim_order_ops._empty_dim_order.default is not supported yet"
+        )
+
+
 @register_node_visitor
 class FullLikeVisitor(NodeVisitor):
     target = "aten.full_like.default"

backends/apple/mps/operators/op_clone.py

@@ -33,3 +33,22 @@ def define_node(
                 )
         input_id = self.define_tensor(get_input_node(node, 0), mps_graph)
         self.tensor_to_id[node] = input_id
+
+
+@register_node_visitor
+class ToDimOrderCopyVisitor(NodeVisitor):
+    target = ["dim_order_ops._to_dim_order_copy.default"]
+
+    def __init__(self, *args) -> None:
+        super().__init__(*args)
+
+    def define_node(
+        self,
+        node: torch.fx.Node,
+        mps_graph: MPSGraph,
+    ) -> None:
+        # We should never get here, because DimOrderOpsRevertPass replaces this with an aten._to_copy op
+        # But if we do, we can't handle it ATM, so raise an exception
+        raise NotImplementedError(
+            "dim_order_ops._to_dim_order_copy.default is not supported yet"
+        )

backends/apple/mps/test/test_mps.py

@@ -1829,6 +1829,21 @@ def forward(self, x):
             Clone(), model_inputs, func_name=inspect.stack()[0].function[5:]
         )
 
+    def test_mps_backend_to_copy(self):
+        class Copy(torch.nn.Module):
+            def forward(self, x):
+                return (
+                    torch.ops.aten._to_copy.default(
+                        x + 2, memory_format=torch.contiguous_format
+                    )
+                    + x
+                )
+
+        model_inputs = (torch.randn(1, 3, 3),)
+        self.lower_and_test_with_partitioner(
+            Copy(), model_inputs, func_name=inspect.stack()[0].function[5:]
+        )
+
     def test_mps_backend_floor(self):
         class Floor(torch.nn.Module):
             def forward(self, x):

backends/apple/mps/test/test_mps_utils.py

@@ -26,10 +26,7 @@
 
 # Config for Capturing the weights, will be moved in the future
 
-# TODO(T182928844): Delegate dim order op to backend.
-_EDGE_COMPILE_CONFIG = exir.EdgeCompileConfig(
-    _check_ir_validity=False, _skip_dim_order=True
-)
+_EDGE_COMPILE_CONFIG = exir.EdgeCompileConfig(_check_ir_validity=False)
 
 
 class ansi_colors:
@@ -219,7 +216,6 @@ def lower_module_and_test_output(
             dynamic_shapes=dynamic_shapes,
             edge_compile_config=EdgeCompileConfig(
                 _check_ir_validity=False,
-                _skip_dim_order=True,  # TODO(T182928844): Delegate dim order op to backend.
             ),
         )
 
@@ -250,7 +246,6 @@ def lower_module_and_test_output(
                 export(delegated_program, sample_inputs, strict=True),
                 compile_config=exir.EdgeCompileConfig(
                     _check_ir_validity=False,
-                    _skip_dim_order=True,  # TODO(T182928844): Delegate dim order op to backend.
                 ),
             ).to_executorch(
                 config=ExecutorchBackendConfig(extract_delegate_segments=False)