llama.cpp/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp

#version 450

#extension GL_EXT_control_flow_attributes : enable
#extension GL_EXT_shader_16bit_storage : require

#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require
#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
#extension GL_EXT_shader_explicit_arithmetic_types_int32 : require
#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require

#extension GL_KHR_memory_scope_semantics : enable
#extension GL_KHR_cooperative_matrix : enable
#extension GL_NV_cooperative_matrix2 : enable
#extension GL_EXT_buffer_reference : enable
#extension GL_KHR_shader_subgroup_ballot : enable
#extension GL_KHR_shader_subgroup_vote : enable
#extension GL_EXT_null_initializer : enable

#include "types.comp"
#include "dequant_funcs_cm2.comp"

layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;

layout (constant_id = 1) const uint32_t Br = 32;
layout (constant_id = 2) const uint32_t Bc = 32;
layout (constant_id = 3) const uint32_t D = 32;
layout (constant_id = 4) const uint32_t Clamp = gl_CooperativeMatrixClampModeConstantNV;

layout (push_constant) uniform parameter {
    uint32_t N;
    uint32_t KV;

    uint32_t ne1;
    uint32_t ne2;
    uint32_t ne3;

    uint32_t neq2;
    uint32_t neq3;
    uint32_t nek2;
    uint32_t nek3;
    uint32_t nev2;
    uint32_t nev3;
    uint32_t nem1;

    uint32_t nb01;
    uint32_t nb02;
    uint32_t nb03;
    uint32_t nb11;
    uint32_t nb12;
    uint32_t nb13;
    uint32_t nb21;
    uint32_t nb22;
    uint32_t nb23;
    uint32_t nb31;

    float scale;
    float max_bias;
    float logit_softcap;

    uint32_t mask;
    uint32_t n_head_log2;
    float m0;
    float m1;
} p;

layout (binding = 0) readonly buffer Q {uint8_t data_q[];};
layout (binding = 1) readonly buffer K {uint8_t data_k[];};
layout (binding = 2) readonly buffer V {uint8_t data_v[];};
layout (binding = 3) readonly buffer M {uint8_t data_m[];};
layout (binding = 4) writeonly buffer O {D_TYPE data_o[];};

#define CEIL_DIV(a, b) (((a) + (b) - 1) / (b))

ACC_TYPE maxReduce(const in ACC_TYPE x, const in ACC_TYPE y) {
    return max(x, y);
}

ACC_TYPE smearReduce(const in ACC_TYPE x, const in ACC_TYPE y) {
    return x;
}

// Replace matrix elements >= numRows or numCols with 'replace'
ACC_TYPE replacePadding(const in uint32_t row, const in uint32_t col, const in ACC_TYPE elem, const in ACC_TYPE replace, const in uint32_t numRows, const in uint32_t numCols) {
    if (row >= numRows || col >= numCols) {
        return replace;
    }
    return elem;
}

ACC_TYPE Exp(const in uint32_t row, const in uint32_t col, const in ACC_TYPE elem)
{
    return exp(elem);
}

ACC_TYPE Max(const in uint32_t row, const in uint32_t col, const in ACC_TYPE elem0, const in ACC_TYPE elem1)
{
    return max(elem0, elem1);
}

#if defined(BLOCK_SIZE)
#define DECODEFUNC , DEQUANTFUNC
#else
#define DECODEFUNC
#endif

void main() {
#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL)
    init_iq_shmem(gl_WorkGroupSize);
#endif

    const uint32_t N = p.N;
    const uint32_t KV = p.KV;

    const uint32_t Tr = CEIL_DIV(N, Br);
    const uint32_t Tc = CEIL_DIV(KV, Bc);

    const uint32_t i = gl_WorkGroupID.x;

    const uint32_t iq2 = gl_WorkGroupID.y;
    const uint32_t iq3 = gl_WorkGroupID.z;

    // broadcast factors
    const uint32_t rk2 = p.neq2/p.nek2;
    const uint32_t rk3 = p.neq3/p.nek3;

    const uint32_t rv2 = p.neq2/p.nev2;
    const uint32_t rv3 = p.neq3/p.nev3;

    // k indices
    const uint32_t ik3 = iq3 / rk3;
    const uint32_t ik2 = iq2 / rk2;

    // v indices
    const uint32_t iv3 = iq3 / rv3;
    const uint32_t iv2 = iq2 / rv2;

    tensorLayoutNV<2, gl_CooperativeMatrixClampModeConstantNV> tensorLayoutQ = createTensorLayoutNV(2, gl_CooperativeMatrixClampModeConstantNV);
    tensorLayoutNV<2, Clamp> tensorLayoutK = createTensorLayoutNV(2, Clamp);
    tensorLayoutNV<2, Clamp> tensorLayoutV = createTensorLayoutNV(2, Clamp);

    tensorViewNV<2, false, 1, 0> tensorViewTranspose = createTensorViewNV(2, false, 1, 0);

#if defined(BLOCK_SIZE)
    tensorLayoutK = setTensorLayoutBlockSizeNV(tensorLayoutK, 1, BLOCK_SIZE);
    tensorLayoutV = setTensorLayoutBlockSizeNV(tensorLayoutV, 1, BLOCK_SIZE);
#endif

    tensorLayoutQ = setTensorLayoutDimensionNV(tensorLayoutQ, N, D);
    tensorLayoutK = setTensorLayoutDimensionNV(tensorLayoutK, KV, D);
    tensorLayoutV = setTensorLayoutDimensionNV(tensorLayoutV, KV, D);

    // nb?1 are already divided by the type size and are in units of elements
    uint32_t q_stride = p.nb01;
    uint32_t k_stride = p.nb11;
    uint32_t v_stride = p.nb21;
    // hint to the compiler that strides are aligned for the aligned variant of the shader
    if (Clamp != gl_CooperativeMatrixClampModeConstantNV)
    {
        q_stride &= ~7;
#if !defined(BLOCK_SIZE)
        k_stride &= ~7;
        v_stride &= ~7;
#endif
    }
    tensorLayoutQ = setTensorLayoutStrideNV(tensorLayoutQ, q_stride, 1);
    tensorLayoutK = setTensorLayoutStrideNV(tensorLayoutK, k_stride, 1);
    tensorLayoutV = setTensorLayoutStrideNV(tensorLayoutV, v_stride, 1);

    coopmat<Q_TYPE, gl_ScopeWorkgroup, Br, D, gl_MatrixUseAccumulator> Q;
    coopmat<float16_t, gl_ScopeWorkgroup, Br, D, gl_MatrixUseA> Qf16;

    uint32_t q_offset = iq2*p.nb02+iq3*p.nb03;
    coopMatLoadTensorNV(Q, data_q, q_offset, sliceTensorLayoutNV(tensorLayoutQ, i * Br, Br, 0, D));

    Qf16 = coopmat<float16_t, gl_ScopeWorkgroup, Br, D, gl_MatrixUseA>(Q);
    Qf16 *= float16_t(p.scale);

    coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, D, gl_MatrixUseAccumulator> O = coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, D, gl_MatrixUseAccumulator>(0);

    coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> L, M;

    L = coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(0);
    M = coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(-1.0/0.0);

    ACC_TYPE slope = ACC_TYPE(1.0);

    // ALiBi
    if (p.max_bias > 0.0f) {
        const uint32_t h = iq2;

        const ACC_TYPE base = ACC_TYPE(h < p.n_head_log2 ? p.m0 : p.m1);
        const int      exph = int(h < p.n_head_log2 ? h + 1 : 2*(h - p.n_head_log2) + 1);

        slope = pow(base, ACC_TYPE(exph));
    }

    [[dont_unroll]]
    for (uint32_t j = 0; j < Tc; ++j) {

        coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> S = coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(0);

        coopmat<float16_t, gl_ScopeWorkgroup, D, Bc, gl_MatrixUseB> K_T;

        uint32_t k_offset = ik2*p.nb12 + ik3*p.nb13;
        coopMatLoadTensorNV(K_T, data_k, k_offset, sliceTensorLayoutNV(tensorLayoutK, j * Bc, Bc, 0, D), tensorViewTranspose DECODEFUNC);
        S = coopMatMulAdd(Qf16, K_T, S);

        if (p.logit_softcap != 0.0f) {
            [[unroll]]
            for (int k = 0; k < S.length(); ++k) {
                S[k] = ACC_TYPE(p.logit_softcap)*tanh(S[k]);
            }
        }

        if (p.mask != 0) {
            tensorLayoutNV<2, gl_CooperativeMatrixClampModeConstantNV> tensorLayoutM = createTensorLayoutNV(2, gl_CooperativeMatrixClampModeConstantNV);
            tensorLayoutM = setTensorLayoutDimensionNV(tensorLayoutM, p.nem1, KV);

            coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> mv;

            coopMatLoadTensorNV(mv, data_m, 0, sliceTensorLayoutNV(tensorLayoutM, i * Br, Br, j * Bc, Bc));

            S += slope*coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(mv);
        }

        // Clear padding elements to -inf, so they don't contribute to rowmax
        if (Clamp != 0 &&
            ((j + 1) * Bc > KV ||
             (i + 1) * Br > N)) {

            uint R = ((i + 1) * Br >  N) ?  (N % Br) : Br;
            uint C = ((j + 1) * Bc > KV) ? (KV % Bc) : Bc;

            coopMatPerElementNV(S, S, replacePadding, ACC_TYPE(-1.0/0.0), R, C);
        }

        coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> rowmax, P, rowsum, eM;

        coopMatReduceNV(rowmax, S, gl_CooperativeMatrixReduceRowNV, maxReduce);

        coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator> Mold = M;

        // M = max(rowmax, Mold)
        // P = e^(S - M)
        // eM = e^(Mold - M)
        coopMatPerElementNV(M, rowmax, Max, Mold);
        coopMatPerElementNV(P, S - M, Exp);
        coopMatPerElementNV(eM, Mold - M, Exp);

        // Clear padding elements to 0, so they don't contribute to rowsum
        if (Clamp != 0 &&
            ((j + 1) * Bc > KV ||
             (i + 1) * Br > N)) {

            uint R = ((i + 1) * Br >  N) ?  (N % Br) : Br;
            uint C = ((j + 1) * Bc > KV) ? (KV % Bc) : Bc;

            coopMatPerElementNV(P, P, replacePadding, ACC_TYPE(0.0), R, C);
        }

        coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseA> P_A = coopmat<float16_t, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseA>(P);

        // compute rowsum by multiplying by matrix of all ones.
        coopmat<float16_t, gl_ScopeWorkgroup, Bc, Bc, gl_MatrixUseB> One = coopmat<float16_t, gl_ScopeWorkgroup, Bc, Bc, gl_MatrixUseB>(1.0);

        rowsum = coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, Bc, gl_MatrixUseAccumulator>(0.0);
        rowsum = coopMatMulAdd(P_A, One, rowsum);

        coopmat<float16_t, gl_ScopeWorkgroup, Bc, D, gl_MatrixUseB> V;
        uint32_t v_offset = iv2*p.nb22 + iv3*p.nb23;
        coopMatLoadTensorNV(V,  data_v, v_offset, sliceTensorLayoutNV(tensorLayoutV, j * Bc, Bc, 0, D) DECODEFUNC);

        L = eM*L + rowsum;

        // This is the "diagonal" matrix in the paper, but since we do componentwise
        // multiply rather than matrix multiply it has the diagonal element smeared
        // across the row
        coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, D, gl_MatrixUseAccumulator> eMdiag;

        // resize eM by using smear/reduce
        coopMatReduceNV(eMdiag, eM, gl_CooperativeMatrixReduceRowNV, smearReduce);

        O = eMdiag * O;

        O = coopMatMulAdd(P_A, V, O);
    }

    coopmat<ACC_TYPE, gl_ScopeWorkgroup, Br, D, gl_MatrixUseAccumulator> Ldiag;

    // resize L by using smear/reduce
    coopMatReduceNV(Ldiag, L, gl_CooperativeMatrixReduceRowNV, smearReduce);

    [[unroll]]
    for (int k = 0; k < Ldiag.length(); ++k) {
        Ldiag[k] = ACC_TYPE(1.0) / Ldiag[k];
    }

    O = Ldiag*O;

    tensorLayoutNV<3, gl_CooperativeMatrixClampModeConstantNV> tensorLayoutD = createTensorLayoutNV(3, gl_CooperativeMatrixClampModeConstantNV);
    tensorLayoutD = setTensorLayoutDimensionNV(tensorLayoutD, p.ne2, p.ne1, D);

    // permute dimensions
    tensorViewNV<3, false, 1, 0, 2> tensorViewPermute = createTensorViewNV(3, false, 1, 0, 2);
    uint32_t o_offset = iq3*p.ne2*p.ne1;

    coopmat<D_TYPE, gl_ScopeWorkgroup, Br, D, gl_MatrixUseAccumulator> O_D = coopmat<D_TYPE, gl_ScopeWorkgroup, Br, D, gl_MatrixUseAccumulator>(O);
    coopMatStoreTensorNV(O_D, data_o, o_offset, sliceTensorLayoutNV(tensorLayoutD, i * Br, Br, iq2, 1, 0, D), tensorViewPermute);
}