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Double frag 440.

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This commit is contained in:
Tim Dettmers 2023-04-30 18:19:30 -07:00
parent 604bb3fb57
commit c35ed09b66
2 changed files with 17 additions and 12 deletions
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27
csrc/kernels.cu
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@ -3053,19 +3053,24 @@ template <typename T, int BITS, int THREADS> __global__ void gemm_device(int M,
//// Allocate shared memory for BlockReduce //// Allocate shared memory for BlockReduce
//__shared__ typename BlockReduce::TempStorage reduce; //__shared__ typename BlockReduce::TempStorage reduce;
int col_offset = blockIdx.x *8; int col_offset = blockIdx.x *8;
const int warp_id = threadIdx.x / 32; const int half_warp_id = threadIdx.x / 16;
const int warp_lane = threadIdx.x % 32; const int half_warp_lane = threadIdx.x % 16;
T local_A[64/BITS]; T local_A[64/BITS];
T local_B[64/BITS]; T local_B[64/BITS];
T local_C[8]; T local_C[8];
__shared__ T smem_A[WARPS*32*16]; const int a_tile_offset = 32*16;
__shared__ T smem_B[WARPS*16*8]; const int b_tile_offset = 16*8;
__shared__ T smem_A[WARPS*32*16*2];
__shared__ T smem_B[WARPS*16*8*2];
__shared__ T smem_C[WARPS*32*8]; __shared__ T smem_C[WARPS*32*8];
wmma::fragment<wmma::matrix_a, 32, 8, 16, half, wmma::row_major> a_frag; wmma::fragment<wmma::matrix_a, 32, 8, 16, half, wmma::row_major> a_frag;
wmma::fragment<wmma::matrix_b, 32, 8, 16, half, wmma::col_major> b_frag; wmma::fragment<wmma::matrix_b, 32, 8, 16, half, wmma::col_major> b_frag;
wmma::fragment<wmma::matrix_a, 32, 8, 16, half, wmma::row_major> a2_frag;
wmma::fragment<wmma::matrix_b, 32, 8, 16, half, wmma::col_major> b2_frag;
wmma::fragment<wmma::accumulator, 32, 8, 16, half> c_frag; wmma::fragment<wmma::accumulator, 32, 8, 16, half> c_frag;
wmma::fill_fragment(c_frag, 0.0f); wmma::fill_fragment(c_frag, 0.0f);
@ -3087,32 +3092,32 @@ template <typename T, int BITS, int THREADS> __global__ void gemm_device(int M,
//int block_idx = 0; //int block_idx = 0;
//for(int base_idx = 0; base_idx < K; base_idx+=blockDim.x) //for(int base_idx = 0; base_idx < K; base_idx+=blockDim.x)
for(int base_idx = 0; base_idx < K; base_idx+=16) for(int base_idx = 0; base_idx < K; base_idx+=32)
{ {
int idx = base_idx + threadIdx.x; int idx = base_idx + threadIdx.x;
if(threadIdx.x < 16)
{
if(idx >= K) if(idx >= K)
{ {
smem_A[threadIdx.x] = 0.0f; smem_A[threadIdx.x] = 0.0f;
smem_B[threadIdx.x] = 0.0f; //smem_B[threadIdx.x] = 0.0f;
} }
else else
{ {
smem_A[threadIdx.x] = A[idx]; smem_A[half_warp_lane + (half_warp_id*a_tile_offset)] = A[idx];
for(int col = 0; col < 8; col++) for(int col = 0; col < 8; col++)
smem_B[threadIdx.x + (col*16)] = B[(col_offset+col)*ldb+idx]; smem_B[half_warp_lane + (half_warp_id*b_tile_offset) + (col*16)] = B[(col_offset+col)*ldb+idx];
} }
}
__syncthreads(); __syncthreads();
wmma::load_matrix_sync(a_frag, &(smem_A[0]), 16); // 111 mu wmma::load_matrix_sync(a_frag, &(smem_A[0]), 16); // 111 mu
wmma::load_matrix_sync(b_frag, &(smem_B[0]), 16); // 35 mu wmma::load_matrix_sync(b_frag, &(smem_B[0]), 16); // 35 mu
wmma::load_matrix_sync(a2_frag, &(smem_A[32*16]), 16); // 111 mu
wmma::load_matrix_sync(b2_frag, &(smem_B[16*8]), 16); // 35 mu
wmma::mma_sync(c_frag, a_frag, b_frag, c_frag); wmma::mma_sync(c_frag, a_frag, b_frag, c_frag);
wmma::mma_sync(c_frag, a2_frag, b2_frag, c_frag);
} }
// 129 mu // 129 mu

2
tests/test_functional.py
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@ -2373,7 +2373,7 @@ def test_cutlass3_gemm(dtype):
#print(C1) #print(C1)
#print(C2) #print(C2)
torch.testing.assert_close(C1, C2, atol=1e-05, rtol=0.005) torch.testing.assert_close(C1, C2, atol=1e-05, rtol=0.05)
#@pytest.mark.parametrize("dtype", [torch.float32, torch.float16], ids=['fp32', 'fp16']) #@pytest.mark.parametrize("dtype", [torch.float32, torch.float16], ids=['fp32', 'fp16'])
@pytest.mark.parametrize("dtype", [torch.float16], ids=['fp16']) @pytest.mark.parametrize("dtype", [torch.float16], ids=['fp16'])