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### Description - Update QNN CI Pipelines to use QNN SDK version 2.17.0 - **Print warning if unit test requires adjusted tolerance to pass** - **Temporarily disable unloading QnnCpu.dll for windows x64 due to crash when calling FreeLibrary** - Enable fixed HTP tests - QnnHTPBackendTests.LayerNorm1D_LastAxis_DynamicScale - QnnHTPBackendTests.GlobalMaxPool_LargeInput2_u8 - QnnHTPBackendTests.ReduceSumS8Opset13_Rank5 - QnnHTPBackendTests.ReduceSumU8Opset13_Rank5_LastAxis - QnnHTPBackendTests.WhereLargeDataBroadcastU8 - QnnHTPBackendTests.WhereLargeDataBroadcastTransformedU8 - Enabled fixed CPU tests - QnnCPUBackendTests.Resize_DownSample_Linear_AlignCorners_scales - Increased tolerance for HTP tests that are less accurate on QNN SDK 2.17.0 - QnnHTPBackendTests.AveragePool_CountIncludePad_HTP_u8 - QnnHTPBackendTests.AveragePool_AutopadSameUpper_HTP_u8 - QnnHTPBackendTests.AveragePool_AutopadSameLower_HTP_u8 - QnnHTPBackendTests.ConvU8U8S32_bias_dynamic_input - QnnHTPBackendTests.ConvU8U8S32_bias_initializer - QnnHTPBackendTests.ConvU8U8S32_large_input1_padding_bias_initializer - QnnHTPBackendTests.LRNSize3 - QnnHTPBackendTests.LRNSize5 - QnnHTPBackendTests.MaxPool_Large_Input_HTP_u8 - QnnHTPBackendTests.MaxPool_LargeInput_1Pads - QnnHTPBackendTests.Resize_DownSample_Linear_HalfPixel - QnnHTPBackendTests.ResizeU8_2xLinearPytorchHalfPixel - QnnHTPBackendTests.ResizeU8_2xLinearHalfPixel - QnnHTPBackendTests.ResizeU8_2xLinearAlignCorners - QnnHTPBackendTests.ResizeU8_2xLinearAsymmetric - Disabled ONNX model tests - averagepool_2d_ceil: Accuracy issues **only on Windows x64 QnnCpu.dll** - Disabled QDQ model tests (onnx_test_runner) - facedetection_op8_qdq: Accuracy issues - Disabled CPU EP tests (these use QnnCpu.dll) - ActivationOpTest.Relu: QNN SDK 2.17 Relu treats inf as FLT_MAX - GemmOpTypedTests/0.TestGemmBroadcast: Inaccuracy when weight is initializer and bias is not - MathOpTest.MatMulFloatType "test padding and broadcast B > A": Inaccuracy (**only linux**) - Fix Gemm translation bugs in QNN EP: - Do not skip processing of inputs that need to be transposed. ### Motivation and Context - Allow testing with newest QNN SDK version - Take advantage of improvements to enable new models. |
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| .. | ||
| github | ||
| __init__.py | ||
| amd_hipify.py | ||
| build.py | ||
| clean_docker_image_cache.py | ||
| compile_triton.py | ||
| coverage.py | ||
| gen_def.py | ||
| get_docker_image.py | ||
| logger.py | ||
| op_registration_utils.py | ||
| op_registration_validator.py | ||
| patch_manylinux.py | ||
| policheck_exclusions.xml | ||
| reduce_op_kernels.py | ||
| replace_urls_in_deps.py | ||
| requirements.txt | ||
| set-trigger-rules.py | ||
| update_tsaoptions.py | ||
| upload_python_package_to_azure_storage.py | ||