External CI

Author: winskuo-quic

.github/workflows/trunk.yml

@@ -463,33 +463,7 @@ jobs:
     strategy:
       matrix:
         dtype: [fp32]
-        model: [dl3, mv3, mv2, ic4, ic3, vit, mb, w2l]
-      fail-fast: false
-    with:
-      runner: linux.2xlarge
-      docker-image: executorch-ubuntu-22.04-qnn-sdk
-      submodules: 'recursive'
-      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
-      timeout: 900
-      script: |
-        # The generic Linux job chooses to use base env, not the one setup by the image
-        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
-        conda activate "${CONDA_ENV}"
-        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool cmake
-        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
-        PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
-        PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh ${{ matrix.model }} "cmake" "qnn"
-
-  test-qnn-optimum-model:
-    name: test-qnn-optimum-model
-    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
-    permissions:
-      id-token: write
-      contents: read
-    strategy:
-      matrix:
-        dtype: [fp32]
-        model: [albert, bert, distilbert, eurobert]
+        model: [dl3, mv3, mv2, ic4, ic3, vit, mb, w2l, albert, bert, distilbert, eurobert]
       fail-fast: false
     with:
       runner: linux.2xlarge

examples/qualcomm/oss_scripts/albert.py

@@ -59,7 +59,7 @@ def main(args):
     config.hidden_act = "gelu"
     module = AutoModelForMaskedLM.from_pretrained(model_name, config=config).eval()
     pte_filename = "albert_qnn_q16"
-    
+
     # lower to QNN
     passes_job = get_capture_program_passes()
     build_executorch_binary(