Decoupled Test Pipeline-yam

.github/actions/setup-npu-test-env/action.yml

@@ -1,5 +1,5 @@
 name: 'Setup NPU Test Environment'
-description: 'Common environment setup for NPU upstream tests - checkout, install torch_npu, download test source, apply patches'
+description: 'Common environment setup for NPU upstream tests - install torch_npu, download test source'
 
 inputs:
   python_version:
@@ -14,11 +14,6 @@ inputs:
     required: true
     type: string
     description: Name of the prepared test source artifact
-  patch_log_suffix:
-    required: false
-    type: string
-    default: 'setup'
-    description: Suffix for torch_env_patch log filename
 
 runs:
   using: 'composite'
@@ -90,22 +85,4 @@ runs:
         print(f'NPU count: {torch.npu.device_count()}')
         "
 
-    - name: Apply torch environment patches
-      shell: bash
-      run: |
-        source /usr/local/Ascend/cann/set_env.sh 2>/dev/null || true
-        source /usr/local/Ascend/nnal/atb/set_env.sh 2>/dev/null || true
-
-        cd pytorch-test-src/test_upstream
-        chmod +x torch_env_patch.sh
-
-        echo "=== Applying torch environment patches ==="
-        set +e
-        ./torch_env_patch.sh --python=${{ inputs.python_version }} 2>&1 | tee /tmp/torch_env_patch_${{ inputs.patch_log_suffix }}.log
-        PATCH_STATUS=${PIPESTATUS[0]}
-        set -e
 
-        if [ ${PATCH_STATUS} -ne 0 ]; then
-          echo "WARNING: Torch environment patch application returned non-zero status: ${PATCH_STATUS}"
-          echo "Tests will continue, but some may fail due to missing patches"
-        fi

.github/scripts/conf/ops.txt

@@ -0,0 +1,98 @@
+aclnnVarMean
+log1p
+log10
+InpalceIndexAdd
+eye
+bernoulli
+aclnnUpsampleBilinear2d
+aclnnUpsampleBicubic2d
+aclnnUpsampleBilinear2dAA
+aclnnTrunc
+aclnnUpsampleBicubic2dAA
+aclnnTriu
+aclnnSWhere
+aclnnSort
+aclnnSign
+aclnnTril
+aclnnTriangularSolve
+aclnnTan
+aclnnSub
+aclnnSinh
+aclnnSin
+aclnnRsqrt
+aclnnRemainderTensorTensor
+aclnnRemainderTensorScalar
+aclnnPowTensorTensor
+aclnnGroupNorm
+aclnnLogSigmoidForward
+aclnnReduceSum
+aclnnNeg
+aclnnMv
+aclnnNormalTensorFloat
+aclnnMm
+aclnnMul
+aclnnMaxPool3dWithArgmax
+aclnnReflectionPad2d
+aclnnInplaceRemainderTensorTensor
+aclnnmatmul
+aclnnLogSumExp
+aclnnMaxPool2dWithArgmax
+aclnnLog1p
+aclnnLog
+aclnnIsNegInf
+aclnnInplaceTrunc
+aclnnInplaceTanh
+BatchMatMulV2
+aclnnInplaceRound
+aclnnInplaceReciprocal
+aclnnInplaceRandom
+aclnnInplacePut
+aclnnInplaceMaskedFillScalar
+aclnnInplaceLog2
+aclnnInplaceLog
+aclnnInplaceFrac
+aclnnInplaceFloor
+aclnnInplaceCos
+BNInfer
+aclnnInplaceCopy
+aclnnInplaceAtan
+aclnnInplaceAsinh
+aclnnInplaceAcos
+aclnnIndexSelect
+aclnnIndexCopy
+aclnnIndexAdd
+aclnnHistc
+aclnnHardshrink
+aclnnGcd
+aclnnGather
+aclnnExpm1
+aclnnEye
+aclnnExp
+aclnnErfc
+aclnnErf
+aclnnDot
+aclnnEqTensor
+aclnnEqScalar
+aclnnDropoutDoMask
+aclnnConvolutionBackward
+aclnnCosh
+aclnnCos
+aclnnConvolution
+aclnnComplex
+aclnnCast
+aclnnBatchNorm
+aclnnBatchMatMul
+aclnnBaddbmm
+aclnnAtanh
+aclnnAsinh
+aclnnAsin
+aclnnArange
+aclnnAll
+aclnnAddr
+aclnnAddmm
+aclnnAddcdiv
+aclnnAddbmm
+aclnnAdd
+aclnnAcosh
+aclnnmatmul
+aclnnInplacePut