opencl: refactor Adreno q4_0 (#22335)
* opencl: refactor adreno q4_0 gemm/gemv dispatch * opencl: refactor q4_0 gemm/gemv loading, use consistent names * opencl: use consistent name for adreno q8_0 gemm/gemv * opencl: use consistent names for adreno q4_0 gemm/gemv * opencl: simplify adreno q4_0 set_tensor * opencl: refactor q4_0 get_tensor
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lhez
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#pragma OPENCL EXTENSION cl_khr_fp16 : enable
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#pragma OPENCL EXTENSION cl_khr_subgroups : enable
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#ifdef cl_qcom_reqd_sub_group_size
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#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
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#define ADRENO_GPU 1
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#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
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#endif
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#define QK8_0 32
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#define N_SIMDGROUP 4
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#define dequantizeBlockAccum_ns_sgbroadcast_1(total_sums, bits8, scale, y) \
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float shared_y; \
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char elem; \
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\
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shared_y = sub_group_broadcast(y.s0, 0); \
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elem = (char)(bits8.s0 & 0x000000FF); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s1, 0); \
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elem = (char)((bits8.s0 & 0x0000FF00) >> 8); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s2, 0); \
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elem = (char)((bits8.s0 & 0x00FF0000) >> 16); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s3, 0); \
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elem = (char)((bits8.s0 & 0xFF000000) >> 24); \
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total_sums += convert_int(elem) * scale * shared_y; \
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\
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shared_y = sub_group_broadcast(y.s4, 0); \
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elem = (char)(bits8.s1 & 0x000000FF); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s5, 0); \
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elem = (char)((bits8.s1 & 0x0000FF00) >> 8); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s6, 0); \
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elem = (char)((bits8.s1 & 0x00FF0000) >> 16); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s7, 0); \
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elem = (char)((bits8.s1 & 0xFF000000) >> 24); \
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total_sums += convert_int(elem) * scale * shared_y; \
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\
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shared_y = sub_group_broadcast(y.s0, 1); \
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elem = (char)(bits8.s2 & 0x000000FF); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s1, 1); \
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elem = (char)((bits8.s2 & 0x0000FF00) >> 8); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s2, 1); \
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elem = (char)((bits8.s2 & 0x00FF0000) >> 16); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s3, 1); \
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elem = (char)((bits8.s2 & 0xFF000000) >> 24); \
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total_sums += convert_int(elem) * scale * shared_y; \
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\
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shared_y = sub_group_broadcast(y.s4, 1); \
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elem = (char)(bits8.s3 & 0x000000FF); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s5, 1); \
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elem = (char)((bits8.s3 & 0x0000FF00) >> 8); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s6, 1); \
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elem = (char)((bits8.s3 & 0x00FF0000) >> 16); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s7, 1); \
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elem = (char)((bits8.s3 & 0xFF000000) >> 24); \
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total_sums += convert_int(elem) * scale * shared_y; \
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\
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shared_y = sub_group_broadcast(y.s0, 2); \
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elem = (char)(bits8.s4 & 0x000000FF); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s1, 2); \
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elem = (char)((bits8.s4 & 0x0000FF00) >> 8); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s2, 2); \
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elem = (char)((bits8.s4 & 0x00FF0000) >> 16); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s3, 2); \
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elem = (char)((bits8.s4 & 0xFF000000) >> 24); \
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total_sums += convert_int(elem) * scale * shared_y; \
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\
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shared_y = sub_group_broadcast(y.s4, 2); \
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elem = (char)(bits8.s5 & 0x000000FF); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s5, 2); \
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elem = (char)((bits8.s5 & 0x0000FF00) >> 8); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s6, 2); \
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elem = (char)((bits8.s5 & 0x00FF0000) >> 16); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s7, 2); \
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elem = (char)((bits8.s5 & 0xFF000000) >> 24); \
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total_sums += convert_int(elem) * scale * shared_y; \
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\
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shared_y = sub_group_broadcast(y.s0, 3); \
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elem = (char)(bits8.s6 & 0x000000FF); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s1, 3); \
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elem = (char)((bits8.s6 & 0x0000FF00) >> 8); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s2, 3); \
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elem = (char)((bits8.s6 & 0x00FF0000) >> 16); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s3, 3); \
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elem = (char)((bits8.s6 & 0xFF000000) >> 24); \
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total_sums += convert_int(elem) * scale * shared_y; \
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\
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shared_y = sub_group_broadcast(y.s4, 3); \
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elem = (char)(bits8.s7 & 0x000000FF); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s5, 3); \
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elem = (char)((bits8.s7 & 0x0000FF00) >> 8); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s6, 3); \
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elem = (char)((bits8.s7 & 0x00FF0000) >> 16); \
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total_sums += convert_int(elem) * scale * shared_y; \
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shared_y = sub_group_broadcast(y.s7, 3); \
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elem = (char)((bits8.s7 & 0xFF000000) >> 24); \
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total_sums += convert_int(elem) * scale * shared_y; \
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#ifdef ADRENO_GPU
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REQD_SUBGROUP_SIZE_64
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#endif
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__kernel void kernel_gemv_noshuffle_q8_0_f32(
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__read_only image1d_buffer_t src0_q, // quantized A
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global half * src0_d, // A scales
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__read_only image1d_buffer_t src1, // B
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ulong offset1, // offset to B (0)
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global float * dst, // C
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ulong offsetd, // offset to C
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int ne00, // K
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int ne01, // M
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int ne02, // 1
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int ne10, // K
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int ne12, // 1
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int ne0, // M
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int ne1, // N
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int r2, // 1
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int r3)
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{
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uint groupId = get_local_id(1);
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uint gid = get_global_id(0);
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ushort slid = get_sub_group_local_id();
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uint K = ne00;
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uint M = ne01;
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uint LINE_STRIDE_A = M;
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uint BLOCK_STRIDE_A = 8 * M; // 32 / 4 = 8
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__private uint8 regA;
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__private half regS;
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__private float8 regB;
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__private float totalSum = (float)(0.0f);
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// loop along K in block granularity, skip 4 blocks every iter
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#pragma unroll 1 /* tell compiler not to unroll */
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for (uint k = groupId; k < (K / QK8_0); k += N_SIMDGROUP) {
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regS = src0_d[gid + k * LINE_STRIDE_A]; // each fiber loads scale of one rows
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// first 4 fibers in each wave load 8 B values to its private scope
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if (slid < 4) {
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regB.s0123 = read_imagef(src1, (slid * 2 + k * 8));
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regB.s4567 = read_imagef(src1, (1 + slid * 2 + k * 8));
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}
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// load weights for one block in consecutive rows
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regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 0)).x;
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regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
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regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
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regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
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regA.s4 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
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regA.s5 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
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regA.s6 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
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regA.s7 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
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dequantizeBlockAccum_ns_sgbroadcast_1(totalSum, regA, regS, regB);
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}
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// reduction in local memory, assumes #wave=4
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__local float reduceLM[SIMDGROUP_WIDTH * 3];
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if (groupId == 1) reduceLM[SIMDGROUP_WIDTH * 0 + slid] = totalSum;
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if (groupId == 2) reduceLM[SIMDGROUP_WIDTH * 1 + slid] = totalSum;
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if (groupId == 3) reduceLM[SIMDGROUP_WIDTH * 2 + slid] = totalSum;
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barrier(CLK_LOCAL_MEM_FENCE);
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if (groupId == 0) totalSum += reduceLM[SIMDGROUP_WIDTH * 0 + slid];
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if (groupId == 0) totalSum += reduceLM[SIMDGROUP_WIDTH * 1 + slid];
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if (groupId == 0) totalSum += reduceLM[SIMDGROUP_WIDTH * 2 + slid];
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// 1 outputs per fiber in wave 0
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if (groupId == 0) {
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dst = (global float*)((global char*)dst + offsetd);
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dst[gid] = totalSum;
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}
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}
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