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gemm: pass this by reference for kernel lambda captures #841

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Merged
taozha2 merged 1 commit into from
Sep 22, 2026
Merged

gemm: pass this by reference for kernel lambda captures #841

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2 changes: 1 addition & 1 deletion include/cutlass/gemm/collective/sm100_blockscaled_mma_array_warpspecialized.hpp
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Original file line number Diff line number Diff line change
Expand Up @@ -711,7 +711,7 @@ struct CollectiveMma<
layout_SFB = params.layout_SFB;
}
Tensor mSFA_mkl = observed_tma_load_sfa_->get_tma_tensor(shape(layout_SFA));
auto mSFB_nkl = [=](){
auto mSFB_nkl = [&](){
if constexpr (IsCtaN192) {
Tensor mSFB_tmp = observed_tma_load_sfb_->get_tma_tensor(shape(layout_SFB));
auto x = stride<0,1>(mSFB_tmp);
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2 changes: 1 addition & 1 deletion include/cutlass/gemm/collective/sm100_blockscaled_mma_mixed_tma_cpasync_warpspecialized.hpp
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Expand Up @@ -549,7 +549,7 @@ struct CollectiveMma<

// Represent the full tensor of Scale factors
Tensor mSFA_mkl = observed_tma_load_sfa_->get_tma_tensor(shape(layout_SFA_));
auto mSFB_nkl = [=](){
auto mSFB_nkl = [&](){
if constexpr (IsCtaN192) {
Tensor mSFB_tmp = observed_tma_load_sfb_->get_tma_tensor(shape(layout_SFB_));
auto x = stride<0,1>(mSFB_tmp);
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2 changes: 1 addition & 1 deletion include/cutlass/gemm/collective/sm100_blockscaled_mma_warpspecialized.hpp
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Expand Up @@ -712,7 +712,7 @@ struct CollectiveMma<

// Represent the full tensor of Scale factors
Tensor mSFA_mkl = observed_tma_load_sfa_->get_tma_tensor(shape(layout_SFA_));
auto mSFB_nkl = [=](){
auto mSFB_nkl = [&](){
if constexpr (IsCtaN192) {
Tensor mSFB_tmp = observed_tma_load_sfb_->get_tma_tensor(shape(layout_SFB_));
auto x = stride<0,1>(mSFB_tmp);
Expand Down
2 changes: 1 addition & 1 deletion include/cutlass/gemm/collective/sm100_blockscaled_sparse_mma_warpspecialized.hpp
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Expand Up @@ -897,7 +897,7 @@ struct CollectiveMma<

// Represent the full tensor of Scale factors
Tensor mSFA_mkl = observed_tma_load_sfa_->get_tma_tensor(shape(layout_SFA_));
auto mSFB_nkl = [=](){
auto mSFB_nkl = [&](){
if constexpr (IsCtaN192) {
Tensor mSFB_tmp = observed_tma_load_sfb_->get_tma_tensor(shape(layout_SFB_));
auto x = stride<0,1>(mSFB_tmp);
Expand Down
2 changes: 1 addition & 1 deletion include/cutlass/gemm/collective/sm103_blockscaled_mma_array_warpspecialized.hpp
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Expand Up @@ -805,7 +805,7 @@ struct CollectiveMma<

// Represent the full tensor of Scale factors
Tensor mSFA_mkl = observed_tma_load_sfa_->get_tma_tensor(shape(layout_SFA));
auto mSFB_nkl = [=](){
auto mSFB_nkl = [&](){
if constexpr (IsCtaN192) {
Tensor mSFB_tmp = observed_tma_load_sfb_->get_tma_tensor(shape(layout_SFB));
auto x = stride<0,1>(mSFB_tmp);
Expand Down
2 changes: 1 addition & 1 deletion include/cutlass/gemm/collective/sm103_blockscaled_mma_warpspecialized.hpp
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Original file line number Diff line number Diff line change
Expand Up @@ -677,7 +677,7 @@ struct CollectiveMma<

// Represent the full tensor of Scale factors
Tensor mSFA_mkl = observed_tma_load_sfa_->get_tma_tensor(shape(params.layout_SFA));
auto mSFB_nkl = [=](){
auto mSFB_nkl = [&](){
if constexpr (IsCtaN192) {
Tensor mSFB_tmp = observed_tma_load_sfb_->get_tma_tensor(shape(params.layout_SFB));
auto x = stride<0,1>(mSFB_tmp);
Expand Down
2 changes: 1 addition & 1 deletion include/cutlass/gemm/collective/sm120_blockscaled_sparse_mma_tma.hpp
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Expand Up @@ -701,7 +701,7 @@ struct CollectiveMma<
Tensor mB_nkl = mainloop_params.tma_load_b.get_tma_tensor(make_shape(N,K,L)); // (n,k,l)
Tensor mE_mkl = mainloop_params.tma_load_e.get_tma_tensor(mainloop_params.layout_e.shape()); // (m,k,l)
Tensor mSFA_mkl = mainloop_params.tma_load_sfa.get_tma_tensor(shape(mainloop_params.layout_SFA));
auto mSFB_nkl = [=](){
auto mSFB_nkl = [&](){
if constexpr (IsCtaN64) {
Tensor mSFB_tmp = mainloop_params.tma_load_sfb.get_tma_tensor(shape(mainloop_params.layout_SFB));
auto x = stride<0,1>(mSFB_tmp);
Expand Down
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