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fix error: conversion from gsl::span<const long int> to non-scalar type std::vector<long int> requested #9893

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diff --git a/onnxruntime/core/providers/acl/tensor/concat.cc b/onnxruntime/core/providers/acl/tensor/concat.cc
index a7489970d..68e2a3be6 100644
--- a/onnxruntime/core/providers/acl/tensor/concat.cc
+++ b/onnxruntime/core/providers/acl/tensor/concat.cc
@@ -32,7 +32,7 @@ Status Concat::Compute(OpKernelContext* ctx) const {
input_tensors.push_back(ctx->Input(i));
}

  • std::vector<int64_t> output_dims = input_tensors[0]->Shape().GetDims();
  • std::vector<int64_t> output_dims = input_tensors[0]->Shape().GetDimsAsVector();

    // 'Concat' mode
    if (!is_stack_) {
    diff --git a/onnxruntime/core/providers/armnn/tensor/concat.cc b/onnxruntime/core/providers/armnn/tensor/concat.cc
    index e6af286f3..3828a413d 100644
    --- a/onnxruntime/core/providers/armnn/tensor/concat.cc
    +++ b/onnxruntime/core/providers/armnn/tensor/concat.cc
    @@ -39,7 +39,7 @@ Status Concat::Compute(OpKernelContext* ctx) const {
    LOGS_DEFAULT(VERBOSE) << "axis: " << axis_;
    LOGS_DEFAULT(VERBOSE) << std::endl;

  • std::vector<int64_t> output_dims = input_tensors[0]->Shape().GetDims();
  • std::vector<int64_t> output_dims = input_tensors[0]->Shape().GetDimsAsVector();

    // 'Concat' mode
    if (!is_stack_) {

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    contributions welcomeexternal contributions welcomeep:ACLissues related to ACL execution providerep:ArmNNissues related to Arm NN execution provider

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