[MI300X] warning: failed to meet occupancy target given by 'amdgpu-waves-per-eu' in

[tjtanaa]

When I am compilling onnxruntime-rocm following the steps in https://huggingface.co/docs/optimum/onnxruntime/usage_guides/amdgpu

I am getting warning

1J_Li2ELi8ELi8ELb1ES1I_S1K_S1K_Li1ELi4ELi2ELb0ELi1ELi8ES1L_Li8ELNS1_21MaskingSpecializationE1ELi4ELS1M_0EE28ComputeBasePtrOfStridedBatchENS1_17C0Mat
rixMask_implINS1_29MaskOutUpperTrianglePredicateEEELb1EEEvPKT0_S2E_S2E_PT1_T2_T3_T4_T5_T6_T7_T8_T9_T10_T11_T12_T13_iT14_T15_': desired occupancy was
2, final occupancy is 1 [-Wpass-failed]
/app/libs/onnxruntime/build/Linux/Release/_deps/composable_kernel-src/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_p
ermute_xdl_cshuffle.hpp:47:9: warning: failed to meet occupancy target given by 'amdgpu-waves-per-eu' in '_ZN2ck16tensor_operation6device48kernel_ba
tched_gemm_softmax_gemm_xdl_cshuffle_v1INS_52GridwiseBatchedGemmMultipleDSoftmaxGemm_Xdl_CShuffleIDF16_fDF16_DF16_NS_5TupleIJEEENS0_12element_wise11
Pass ThroughES7 N11onnxruntime7contrib4rocm8internal26PreSoftmaxAttentionScoreOpES7 S7 LNS 25InMemoryDataOperationEnumEOENS 16TensorDescriptorINS4 IJ

Will this affect the performance of onnxruntime model?