[QST] Copy Accumulator to GMEM directly?

[osayamenja]

What is your question?
Hello! How do you copy the accumulator registers to global memory directly?

For example, in ampere_conv_kernel.h, how would we copy accum directly to gC, skipping the copy to sC?

Thanks!

[osayamenja]

I have tried something like the below but it fails to compile with "Copy_Traits: src failed to vectorize into registers. Layout is incompatible with this CopyOp."

// ... 
copy(gmem_tiled_copy_C, accum, tDgC);

[thakkarV]

please see #1905

[osayamenja]

@thakkarV Thanks for responding! My mistake for not giving enough information. My use case is actually different from that, as there is no vectorization.

Here is the changed tiled copy.

auto gmem_tiled_copy_C = cute::make_tiled_copy(
        cute::Copy_Atom<cute::UniversalCopy<float>, float>{},
        cute::Layout<cute::Shape<cute::_16, cute::_8>>{},
        cute::Layout<cute::Shape<cute::_1, cute::_1>>{}); // 1x1 per thread, is this the problem?

Below are the layouts.

((_2,_2),_4,_4):((_1,_2),_4,_16) //accum
--------------------------------------------
TiledCopy // gmem_tiled_copy_C
  Tiler_MN:       (_16,_8)
  TiledLayout_TV: (_128,_1):(_1,_0)
Copy_Atom
  ThrID:        _1:_0
  ValLayoutSrc: (_1,_1):(_0,_1)
  ValLayoutDst: (_1,_1):(_0,_1)
  ValLayoutRef: (_1,_1):(_0,_1)
  ValueType:    32b
--------------------------------------------
gmem_ptr[32b](0x420001800) o ((_1,_1),_8,_8):((_0,_0),16,1024) // tDgC

[thakkarV]

if you don't care about vectorization, just drop the tiled copy. Partition the gmem tensor with the tiled mma and then just call copy on the partitioned rmem tensor.

auto tCrC = thr_mma.partition_fragment_C(TileShapeMN{});
auto tCgC = thr_mma.partition_C(tiled_gmem_tensor_C);
copy(tCrC, tCgC);

[osayamenja]

@thakkarV Life saver, thanks a ton! It compiles now!

Honestly, I would rather use vectorization, but I am following gemm_tn from sgemm_80.cu which uses 1x1 val layout.

I know I can vectorize that layout by changing TA to uint128_t and layout to Layout<_1, _4>. I will experiment and see what happens, thanks again!

[thakkarV]

For vectorization "how to" you can follow the other issue I linked