vulkan: skip all-negative-inf blocks in FA (#17186)
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@@ -29,6 +29,10 @@ ACC_TYPE maxReduce(const in ACC_TYPE x, const in ACC_TYPE y) {
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return max(x, y);
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}
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float16_t maxReduceFp16(const in float16_t x, const in float16_t y) {
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return max(x, y);
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}
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ACC_TYPE smearReduce(const in ACC_TYPE x, const in ACC_TYPE y) {
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return x;
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}
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@@ -142,6 +146,44 @@ void main() {
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[[dont_unroll]]
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for (uint32_t j = start_j; j < end_j; ++j) {
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coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> mv;
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if ((p.mask_n_head_log2 & MASK_ENABLE_BIT) != 0) {
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bool nem1_bounds_check = !(p.gqa_ratio > 1) && (p.nem1 % Br) != 0;
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if (nem1_bounds_check) {
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tensorLayoutNV<2, gl_CooperativeMatrixClampModeConstantNV> tensorLayoutM = createTensorLayoutNV(2, gl_CooperativeMatrixClampModeConstantNV);
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tensorLayoutM = setTensorLayoutDimensionNV(tensorLayoutM, p.nem1, KV);
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tensorLayoutM = setTensorLayoutStrideNV(tensorLayoutM, m_stride, 1);
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tensorLayoutM = setTensorLayoutClampValueNV(tensorLayoutM, 0xfc00); // -inf in float16_t
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coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> mv, mvmax;
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coopMatLoadTensorNV(mv, data_m, m_offset, sliceTensorLayoutNV(tensorLayoutM, i * Br, Br, j * Bc, Bc));
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// skip the block if the mask is entirely -inf
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coopMatReduceNV(mvmax, mv, gl_CooperativeMatrixReduceRowAndColumnNV, maxReduceFp16);
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if (mvmax[0] <= NEG_FLT_MAX_OVER_2) {
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continue;
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}
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} else {
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tensorLayoutNV<2, Clamp> tensorLayoutM = createTensorLayoutNV(2, Clamp);
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// Don't clamp against nem1 when GQA is enabled
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uint32_t m_height = p.gqa_ratio > 1 ? ~0 : p.nem1;
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tensorLayoutM = setTensorLayoutDimensionNV(tensorLayoutM, m_height, KV);
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tensorLayoutM = setTensorLayoutStrideNV(tensorLayoutM, m_stride, 1);
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coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> mvmax;
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coopMatLoadTensorNV(mv, data_m, m_offset, sliceTensorLayoutNV(tensorLayoutM, i * Br, Br, j * Bc, Bc));
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// skip the block if the mask is entirely -inf
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coopMatReduceNV(mvmax, mv, gl_CooperativeMatrixReduceRowAndColumnNV, maxReduceFp16);
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if (mvmax[0] <= NEG_FLT_MAX_OVER_2) {
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continue;
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}
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}
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}
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coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> S = coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(0);
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coopmat<float16_t, gl_ScopeWorkgroup, HSK_pad, Bc, gl_MatrixUseB> K_T;
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@@ -158,31 +200,7 @@ void main() {
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}
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if ((p.mask_n_head_log2 & MASK_ENABLE_BIT) != 0) {
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bool nem1_bounds_check = !(p.gqa_ratio > 1) && (p.nem1 % Br) != 0;
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if (nem1_bounds_check) {
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tensorLayoutNV<2, gl_CooperativeMatrixClampModeConstantNV> tensorLayoutM = createTensorLayoutNV(2, gl_CooperativeMatrixClampModeConstantNV);
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tensorLayoutM = setTensorLayoutDimensionNV(tensorLayoutM, p.nem1, KV);
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tensorLayoutM = setTensorLayoutStrideNV(tensorLayoutM, m_stride, 1);
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coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> mv;
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coopMatLoadTensorNV(mv, data_m, m_offset, sliceTensorLayoutNV(tensorLayoutM, i * Br, Br, j * Bc, Bc));
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S += slopeMat*coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(mv);
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} else {
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tensorLayoutNV<2, Clamp> tensorLayoutM = createTensorLayoutNV(2, Clamp);
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// Don't clamp against nem1 when GQA is enabled
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uint32_t m_height = p.gqa_ratio > 1 ? ~0 : p.nem1;
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tensorLayoutM = setTensorLayoutDimensionNV(tensorLayoutM, m_height, KV);
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tensorLayoutM = setTensorLayoutStrideNV(tensorLayoutM, m_stride, 1);
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coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> mv;
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coopMatLoadTensorNV(mv, data_m, m_offset, sliceTensorLayoutNV(tensorLayoutM, i * Br, Br, j * Bc, Bc));
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S += slopeMat*coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(mv);
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}
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S += slopeMat*coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(mv);
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}
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// Clear padding elements to -inf, so they don't contribute to rowmax
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