vulkan: optimize decodeFuncB in coopmat2 mul_mat_id shader (#18349)
* vulkan: Use BK=32 for coopmat2 mul_mat_id * vulkan: optimize decodeFuncB in coopmat2 mul_mat_id shader Disable robustness, remove the OOB check in decodeFuncB, and initialize the row_ids to zero to avoid OOB access. Don't slice/offset the B matrix to ic * BN, only to adjust the coord back down to the range [0, BN) in decodeFuncB. Instead just slice with a row offset of zero and remove the '& (BN - 1)'. This allows the compiler to common some of the shared memory loads.
This commit is contained in:
@@ -107,11 +107,7 @@ B_TYPE decodeFuncB(const in decodeBufB bl, const in uint blockCoords[2], const i
|
||||
{
|
||||
const uint row_i = blockCoords[0];
|
||||
|
||||
if (row_i >= _ne1) {
|
||||
return B_TYPE(0.0);
|
||||
}
|
||||
|
||||
const u16vec4 row_idx = row_ids[row_i & (BN - 1)];
|
||||
const u16vec4 row_idx = row_ids[row_i];
|
||||
B_TYPE ret = data_b[row_idx.y * p.batch_stride_b + row_idx.x * p.stride_b + blockCoords[1]];
|
||||
|
||||
return ret;
|
||||
@@ -194,12 +190,21 @@ void load_row_ids(uint expert_idx, bool nei0_is_pow2, uint ic) {
|
||||
#endif
|
||||
|
||||
void main() {
|
||||
const uint tid = gl_LocalInvocationIndex;
|
||||
#ifdef MUL_MAT_ID
|
||||
// initialize to row 0 so we don't need to bounds check
|
||||
if (tid < BN) {
|
||||
row_ids[tid] = u16vec4(0);
|
||||
}
|
||||
#if !defined(NEEDS_INIT_IQ_SHMEM)
|
||||
barrier();
|
||||
#endif
|
||||
#endif
|
||||
|
||||
#ifdef NEEDS_INIT_IQ_SHMEM
|
||||
init_iq_shmem(gl_WorkGroupSize);
|
||||
#endif
|
||||
|
||||
const uint tid = gl_LocalInvocationIndex;
|
||||
|
||||
#ifdef MUL_MAT_ID
|
||||
const uint expert_idx = gl_GlobalInvocationID.z;
|
||||
#else
|
||||
@@ -482,7 +487,7 @@ void main() {
|
||||
coopmat<MAT_TYPE, gl_ScopeWorkgroup, BK, BNover4, gl_MatrixUseB> mat_b;
|
||||
|
||||
coopMatLoadTensorNV(mat_a, data_a, pos_a, sliceTensorLayoutNV(tensorLayoutA, ir * BM, BM, block_k, BK) DECODEFUNCA);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, ic * BN, BNover4, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, 0, BNover4, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
|
||||
sum = coopMatMulAdd(mat_a, mat_b, sum);
|
||||
} else {
|
||||
@@ -490,7 +495,7 @@ void main() {
|
||||
coopmat<MAT_TYPE, gl_ScopeWorkgroup, BK, BNover4, gl_MatrixUseB> mat_b;
|
||||
|
||||
coopMatLoadTensorNV(mat_a, data_a, pos_a, sliceTensorLayoutNV(tensorLayoutAClamp, ir * BM, BM, block_k, BK) DECODEFUNCA);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, ic * BN, BNover4, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, 0, BNover4, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
|
||||
sum = coopMatMulAdd(mat_a, mat_b, sum);
|
||||
}
|
||||
@@ -526,7 +531,7 @@ void main() {
|
||||
coopmat<MAT_TYPE, gl_ScopeWorkgroup, BK, BNover2, gl_MatrixUseB> mat_b;
|
||||
|
||||
coopMatLoadTensorNV(mat_a, data_a, pos_a, sliceTensorLayoutNV(tensorLayoutA, ir * BM, BM, block_k, BK) DECODEFUNCA);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, ic * BN, BNover2, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, 0, BNover2, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
|
||||
sum = coopMatMulAdd(mat_a, mat_b, sum);
|
||||
} else {
|
||||
@@ -534,7 +539,7 @@ void main() {
|
||||
coopmat<MAT_TYPE, gl_ScopeWorkgroup, BK, BNover2, gl_MatrixUseB> mat_b;
|
||||
|
||||
coopMatLoadTensorNV(mat_a, data_a, pos_a, sliceTensorLayoutNV(tensorLayoutAClamp, ir * BM, BM, block_k, BK) DECODEFUNCA);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, ic * BN, BNover2, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, 0, BNover2, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
|
||||
sum = coopMatMulAdd(mat_a, mat_b, sum);
|
||||
}
|
||||
@@ -571,7 +576,7 @@ void main() {
|
||||
|
||||
coopMatLoadTensorNV(mat_a, data_a, pos_a, sliceTensorLayoutNV(tensorLayoutA, ir * BM, BM, block_k, BK) DECODEFUNCA);
|
||||
#ifdef MUL_MAT_ID
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, ic * BN, BN, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, 0, BN, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
#else
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutBClamp, ic * BN, BN, block_k, BK), tensorViewTranspose);
|
||||
#endif
|
||||
@@ -583,7 +588,7 @@ void main() {
|
||||
|
||||
coopMatLoadTensorNV(mat_a, data_a, pos_a, sliceTensorLayoutNV(tensorLayoutAClamp, ir * BM, BM, block_k, BK) DECODEFUNCA);
|
||||
#ifdef MUL_MAT_ID
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, ic * BN, BN, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutB, 0, BN, block_k, BK), tensorViewTranspose, decodeFuncB);
|
||||
#else
|
||||
coopMatLoadTensorNV(mat_b, data_b, pos_b, sliceTensorLayoutNV(tensorLayoutBClamp, ic * BN, BN, block_k, BK), tensorViewTranspose);
|
||||
#endif
|
||||
|
||||
Reference in New Issue
Block a user