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Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand All @@ -43,7 +46,6 @@ void mgqa_launch_kernel(const KERNEL_PARAMS_TYPE& params, const cudaStream_t& st
{
constexpr int THREADS_PER_VALUE = threads_per_value_t<T, Dh_MAX>::value;
int tlength = params.timestep;
// printf("tlength, CROSS_ATTENTION = %d, %d\n", tlength);
if (params.cache_indir == nullptr) {
if (tlength < 32) {
MGQA_LAUNCH_KERNEL(T, Dh, Dh_MAX, 4, THREADS_PER_VALUE, 64, false, stream);
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,13 @@
////////////////////////////////////////////////////////////////////////////////////////////////////

#define MGQA_LAUNCH_KERNEL( \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
T, Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS, stream) \
size_t smem_sz = mmha::smem_size_in_bytes<T>(params, THDS_PER_VALUE, THDS_PER_BLOCK); \
dim3 grid(params.num_heads, params.batch_size); \
mmha::masked_groupedquery_attention_kernel<T, \
cudaFuncSetAttribute(mmha::masked_groupedquery_attention_kernel<T, \
Dh, Dh_MAX, THDS_PER_KEY, THDS_PER_VALUE, THDS_PER_BLOCK, HAS_BEAMS>, \
cudaFuncAttributeMaxDynamicSharedMemorySize, smem_sz); \
mmha::masked_groupedquery_attention_kernel<T, \
Dh, \
Dh_MAX, \
THDS_PER_KEY, \
Expand Down