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 * 2. Redistributions in binary form must reproduce the above copyright notice,
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 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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#pragma once

#include "cutlass/gemm/collective/collective_mma_decl.hpp"


/////////////////////////////////////////////////////////////////////////////////////////////////

#include "cutlass/gemm/collective/sm70_mma_twostage.hpp"
#include "cutlass/gemm/collective/sm80_mma_multistage.hpp"
#include "cutlass/gemm/collective/sm80_mma_array_multistage.hpp"
#include "cutlass/gemm/collective/sm90_mma_multistage_gmma_ss_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm90_mma_multistage_gmma_rs_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm90_mma_tma_gmma_ss.hpp"
#include "cutlass/gemm/collective/sm90_mma_tma_gmma_rs_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm90_mma_tma_gmma_rs_warpspecialized_mixed_input.hpp"
#include "cutlass/gemm/collective/sm90_mma_tma_gmma_ss_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm90_sparse_mma_tma_gmma_ss_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm90_sparse_mma_tma_gmma_ss_warpspecialized_fp8.hpp"
#include "cutlass/gemm/collective/sm90_mma_array_tma_gmma_ss_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm90_mma_array_tma_gmma_rs_warpspecialized_mixed_input.hpp"
#include "cutlass/gemm/collective/sm90_mma_tma_gmma_ss_warpspecialized_fp8.hpp"
#include "cutlass/gemm/collective/sm90_mma_array_tma_gmma_ss_warpspecialized_fp8.hpp"
#include "cutlass/gemm/collective/sm90_mma_tma_gmma_ss_warpspecialized_fp8_blockwise_scaling.hpp"
#include "cutlass/gemm/collective/sm90_mma_array_tma_gmma_ss_warpspecialized_fp8_blockwise_scaling.hpp"
#if !defined(__CUDACC_RTC__)
#include "cutlass/gemm/collective/sm100_mma_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm100_mma_array_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm100_mma_array_warpspecialized_rcggemm.hpp"
#include "cutlass/gemm/collective/sm100_blockscaled_mma_array_warpspecialized_rcggemm.hpp"
#include "cutlass/gemm/collective/sm100_mma_warpspecialized_emulated.hpp"
#include "cutlass/gemm/collective/sm100_mma_array_warpspecialized_emulated.hpp"
#include "cutlass/gemm/collective/sm100_sparse_mma_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm100_blockscaled_sparse_mma_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm100_blockscaled_mma_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm100_blockscaled_mma_array_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm100_mma_warpspecialized_blockwise_scaling.hpp"
#include "cutlass/gemm/collective/sm100_mma_array_warpspecialized_blockwise_scaling.hpp"
#include "cutlass/gemm/collective/sm100_mma_warpspecialized_mixed_input.hpp"
#include "cutlass/gemm/collective/sm100_mma_cpasync_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm100_mma_mixed_tma_cpasync_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm100_blockscaled_mma_mixed_tma_cpasync_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm103_blockscaled_mma_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm103_blockscaled_mma_array_warpspecialized.hpp"
#include "cutlass/gemm/collective/sm120_mma_tma.hpp"
#include "cutlass/gemm/collective/sm120_blockscaled_mma_tma.hpp"
#include "cutlass/gemm/collective/sm120_blockscaled_mma_array_tma.hpp"
#include "cutlass/gemm/collective/sm120_mma_tma_blockwise_scaling.hpp"
#include "cutlass/gemm/collective/sm120_mma_array_tma_blockwise_scaling.hpp"
#include "cutlass/gemm/collective/sm100_mma_warpspecialized_interleaved_complex_emulated.hpp"
#include "cutlass/gemm/collective/sm100_mma_array_warpspecialized_interleaved_complex_emulated.hpp"
#include "cutlass/gemm/collective/sm100_mma_warpspecialized_interleaved_complex_tf32.hpp"
#include "cutlass/gemm/collective/sm100_mma_array_warpspecialized_interleaved_complex_tf32.hpp"
#include "cutlass/gemm/collective/sm100_mma_warpspecialized_planar_complex.hpp"
#include "cutlass/gemm/collective/sm100_mma_array_warpspecialized_planar_complex.hpp"
#include "cutlass/gemm/collective/sm120_sparse_mma_tma.hpp"
#include "cutlass/gemm/collective/sm120_blockscaled_sparse_mma_tma.hpp"
#endif // !defined(__CUDACC_RTC__)




/////////////////////////////////////////////////////////////////////////////////////////////////
