From 1e3dda9ddf4e36ca86a3ff25c4cc12a35a833872 Mon Sep 17 00:00:00 2001 From: adrianlizarraga Date: Thu, 6 Feb 2025 16:52:51 -0800 Subject: [PATCH] lintrunner fix --- .../core/providers/qnn/builder/opbuilder/conv_op_builder.cc | 4 ++-- .../providers/qnn/builder/opbuilder/matmul_op_builder.cc | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/onnxruntime/core/providers/qnn/builder/opbuilder/conv_op_builder.cc b/onnxruntime/core/providers/qnn/builder/opbuilder/conv_op_builder.cc index 3c5836efec..08c92be695 100644 --- a/onnxruntime/core/providers/qnn/builder/opbuilder/conv_op_builder.cc +++ b/onnxruntime/core/providers/qnn/builder/opbuilder/conv_op_builder.cc @@ -448,10 +448,10 @@ Status ConvOpBuilder::ProcessConv1DInputs(QnnModelWrapper& qnn_model_wrapper, if (conv_type == OnnxConvType::kConv) { ORT_RETURN_IF_ERROR(utils::TransposeFromNchwToHwcn(std::move(shape_2d_int64), elem_byte_size, original_tensor_bytes, - unpacked_tensor, /*is_3d*/ false)); + unpacked_tensor, /*is_3d*/ false)); } else if (conv_type == OnnxConvType::kConvTranspose) { ORT_RETURN_IF_ERROR(utils::TransposeFromCnhwToHwcn(std::move(shape_2d_int64), elem_byte_size, original_tensor_bytes, - unpacked_tensor, /*is_3d*/ false)); + unpacked_tensor, /*is_3d*/ false)); } else { return ORT_MAKE_STATUS(ONNXRUNTIME, FAIL, "QNN EP: Unexpected convolution op type: ", node_unit.OpType().c_str()); } diff --git a/onnxruntime/core/providers/qnn/builder/opbuilder/matmul_op_builder.cc b/onnxruntime/core/providers/qnn/builder/opbuilder/matmul_op_builder.cc index ae1cf846cf..7e91b17abc 100644 --- a/onnxruntime/core/providers/qnn/builder/opbuilder/matmul_op_builder.cc +++ b/onnxruntime/core/providers/qnn/builder/opbuilder/matmul_op_builder.cc @@ -337,9 +337,9 @@ Status MatMulOpBuilder::ProcessInputsForQnnFullyConnected(QnnModelWrapper& qnn_m // 2D initializer should be transposed to [n, k]. std::vector original_shape_copy = input_info_1.shape; ORT_RETURN_IF_ERROR(utils::TwoDimensionTranspose(qnn_model_wrapper, - original_shape_copy, // Will be modified to new shape (unnecessary) - *input_info_1.initializer_tensor, - unpacked_tensor)); + original_shape_copy, // Will be modified to new shape (unnecessary) + *input_info_1.initializer_tensor, + unpacked_tensor)); } else { ORT_RETURN_IF_ERROR(qnn_model_wrapper.UnpackInitializerData(*input_info_1.initializer_tensor, unpacked_tensor)); }