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| author | Mitja Felicijan <mitja.felicijan@gmail.com> | 2026-02-12 20:57:17 +0100 |
|---|---|---|
| committer | Mitja Felicijan <mitja.felicijan@gmail.com> | 2026-02-12 20:57:17 +0100 |
| commit | b333b06772c89d96aacb5490d6a219fba7c09cc6 (patch) | |
| tree | 211df60083a5946baa2ed61d33d8121b7e251b06 /llama.cpp/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl | |
| download | llmnpc-b333b06772c89d96aacb5490d6a219fba7c09cc6.tar.gz | |
Engage!
Diffstat (limited to 'llama.cpp/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl')
| -rw-r--r-- | llama.cpp/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl | 247 |
1 files changed, 247 insertions, 0 deletions
diff --git a/llama.cpp/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl b/llama.cpp/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl new file mode 100644 index 0000000..6b1dd26 --- /dev/null +++ b/llama.cpp/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.tmpl.wgsl @@ -0,0 +1,247 @@ +#define(VARIANTS) +[ + { + "SHADER_SUFFIX": "f32_f32_vec", + "REPLS": { + "SRC0_TYPE" : "vec4<f32>", + "SRC1_TYPE" : "vec4<f32>", + "DST_TYPE" : "vec4<f32>", + "SHMEM_TYPE" : "vec4<f16>", + "VEC_SIZE" : 4, + }, + "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"] + }, + { + "SHADER_SUFFIX": "f32_f32", + "REPLS": { + "SRC0_TYPE" : "f32", + "SRC1_TYPE" : "f32", + "DST_TYPE" : "f32", + "SHMEM_TYPE" : "f16", + "VEC_SIZE" : 1, + }, + "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"] + }, + { + "SHADER_SUFFIX": "f16_f32_vec", + "REPLS": { + "SRC0_TYPE" : "vec4<f16>", + "SRC1_TYPE" : "vec4<f32>", + "DST_TYPE" : "vec4<f32>", + "SHMEM_TYPE" : "vec4<f16>", + "VEC_SIZE" : 4, + }, + "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"] + }, + { + "SHADER_SUFFIX": "f16_f32", + "REPLS": { + "SRC0_TYPE" : "f16", + "SRC1_TYPE" : "f32", + "DST_TYPE" : "f32", + "SHMEM_TYPE" : "f16", + "VEC_SIZE" : 1, + }, + "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"] + }, + { + "SHADER_SUFFIX": "f16_f16_vec", + "REPLS": { + "SRC0_TYPE" : "vec4<f16>", + "SRC1_TYPE" : "vec4<f16>", + "DST_TYPE" : "vec4<f32>", + "SHMEM_TYPE" : "vec4<f16>", + "VEC_SIZE" : 4, + }, + "DECLS": ["VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"] + }, + { + "SHADER_SUFFIX": "f16_f16", + "REPLS": { + "SRC0_TYPE" : "f16", + "SRC1_TYPE" : "f16", + "DST_TYPE" : "f32", + "SHMEM_TYPE" : "f16", + "VEC_SIZE" : 1, + }, + "DECLS": ["SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_FLOAT", "INIT_SRC1_SHMEM"] + }, + { + "SHADER_SUFFIX": "q4_0_f32_vec", + "REPLS": { + "SRC0_TYPE" : "f16", + "SRC1_TYPE" : "vec4<f32>", + "DST_TYPE" : "vec4<f32>", + "SHMEM_TYPE" : "vec4<f16>", + "VEC_SIZE" : 4, + }, + "DECLS": ["BYTE_HELPERS", "VEC", "SHMEM_VEC", "INIT_SRC0_SHMEM_Q4_0", "INIT_SRC1_SHMEM"] + }, + { + "SHADER_SUFFIX": "q4_0_f32", + "REPLS": { + "SRC0_TYPE" : "f16", + "SRC1_TYPE" : "f32", + "DST_TYPE" : "f32", + "SHMEM_TYPE" : "f16", + "VEC_SIZE" : 1, + }, + "DECLS": ["BYTE_HELPERS", "SCALAR", "SHMEM_SCALAR", "INIT_SRC0_SHMEM_Q4_0", "INIT_SRC1_SHMEM"] + } +] + +#end(VARIANTS) + +#define(DECLS) + +#decl(VEC) +fn store_val(acc: array<array<f16, TILE_N>, TILE_M>, tn: u32, tm: u32) -> vec4<f32> { + return vec4<f32>(f32(acc[tm][tn]), f32(acc[tm + 1][tn]), f32(acc[tm + 2][tn]), f32(acc[tm + 3][tn])); +} +#enddecl(VEC) + +#decl(SCALAR) +fn store_val(acc: array<array<f16, TILE_N>, TILE_M>, tn: u32, tm: u32) -> f32 { + return f32(acc[tm][tn]); +} +#enddecl(SCALAR) + +#end(DECLS) + +#define(SHADER) +enable f16; + +struct MulMatParams { + offset_src0: u32, + offset_src1: u32, + offset_dst: u32, + m: u32, + n: u32, + k: u32, + stride_01: u32, + stride_11: u32, + stride_02: u32, + stride_12: u32, + stride_03: u32, + stride_13: u32, + bs02: u32, + bs03: u32, + broadcast2: u32, + broadcast3: u32 +}; + +@group(0) @binding(0) var<storage, read_write> src0: array<{{SRC0_TYPE}}>; // M rows, K columns +@group(0) @binding(1) var<storage, read_write> src1: array<{{SRC1_TYPE}}>; // K rows, N columns (transposed) +@group(0) @binding(2) var<storage, read_write> dst: array<{{DST_TYPE}}>; // M rows, N columns (transposed) + +@group(0) @binding(3) var<uniform> params: MulMatParams; + +DECLS + +fn get_local_n(thread_id: u32) -> u32 { + return thread_id / WORKGROUP_SIZE_M; +} +fn get_local_m(thread_id: u32) -> u32 { + return thread_id % WORKGROUP_SIZE_M; +} + +// TILE_M must be multiple of 4 for vec4 loads +const TILE_M = {{WEBGPU_TILE_M}}u; +const TILE_N = {{WEBGPU_TILE_N}}u; + +override WORKGROUP_SIZE_M: u32; +override WORKGROUP_SIZE_N: u32; +override TILE_K: u32; + +override TOTAL_WORKGROUP_SIZE = WORKGROUP_SIZE_M * WORKGROUP_SIZE_N; +override TILE_SRC0_SHMEM = TILE_K * WORKGROUP_SIZE_M * TILE_M; +override TILE_SRC1_SHMEM = TILE_K * WORKGROUP_SIZE_N * TILE_N; + +var<workgroup> shmem: array<f16, TILE_SRC0_SHMEM + TILE_SRC1_SHMEM>; + +@compute @workgroup_size(TOTAL_WORKGROUP_SIZE) +fn main(@builtin(workgroup_id) wg_id: vec3<u32>, + @builtin(local_invocation_id) local_id: vec3<u32>) { + + let thread_id = local_id.x; + let local_m = get_local_m(thread_id); + let local_n = get_local_n(thread_id); + + let wg_n_count = (params.n + WORKGROUP_SIZE_N * TILE_N - 1u) / (WORKGROUP_SIZE_N * TILE_N); + let wg_m_count = (params.m + WORKGROUP_SIZE_M * TILE_M - 1u) / (WORKGROUP_SIZE_M * TILE_M); + let wg_per_matrix = wg_m_count * wg_n_count; + + let batch_idx = wg_id.x / wg_per_matrix; + + let wg_in_batch = wg_id.x % wg_per_matrix; + let wg_m = wg_in_batch % wg_m_count; + let wg_n = wg_in_batch / wg_m_count; + + let output_row_base = wg_m * WORKGROUP_SIZE_M * TILE_M + local_m * TILE_M; + let output_col_base = wg_n * WORKGROUP_SIZE_N * TILE_N + local_n * TILE_N; + + let dst2_stride = params.m * params.n; + let dst3_stride = dst2_stride * params.bs02 * params.broadcast2; + + let dst3_idx = batch_idx / (params.bs02 * params.broadcast2); + let src03_idx = dst3_idx / params.broadcast3; + let src13_idx = dst3_idx; + let dst2_idx = batch_idx % (params.bs02 * params.broadcast2); + let src02_idx = dst2_idx / params.broadcast2; + let src12_idx = dst2_idx; + + let src0_batch_offset = params.offset_src0 + src03_idx * params.stride_03 + src02_idx * params.stride_02; + let src1_batch_offset = params.offset_src1 + src13_idx * params.stride_13 + src12_idx * params.stride_12; + + let offset_m = wg_m * WORKGROUP_SIZE_M * TILE_M; + let offset_n = wg_n * WORKGROUP_SIZE_N * TILE_N; + + var acc: array<array<f16, TILE_N>, TILE_M>; + + for (var k_outer = 0u; k_outer < params.k; k_outer += TILE_K) { + + // see mul_mat_decls.tmpl + init_shmem_src0(thread_id, src0_batch_offset, offset_m, k_outer); + init_shmem_src1(thread_id, src1_batch_offset, offset_n, k_outer); + + workgroupBarrier(); + + let k_end = min(TILE_K, params.k - k_outer); + + for (var k_inner = 0u; k_inner < k_end; k_inner++) { + var src0_tile: array<f16, TILE_M>; + for (var tm = 0u; tm < TILE_M; tm++) { + let src0_m = local_m * TILE_M + tm; + let src0_idx = k_inner + src0_m * TILE_K; + src0_tile[tm] = shmem[src0_idx]; + } + for (var tn = 0u; tn < TILE_N; tn++) { + let src1_n = local_n * TILE_N + tn; + let src1_idx = src1_n * TILE_K + k_inner; + let src1_val = shmem[TILE_SRC0_SHMEM + src1_idx]; + for (var tm = 0u; tm < TILE_M; tm++) { + acc[tm][tn] += src0_tile[tm] * src1_val; + } + } + } + + workgroupBarrier(); + } + + let dst_batch_offset = params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride; + + for (var tn = 0u; tn < TILE_N; tn++) { + let global_col = output_col_base + tn; + if (global_col < params.n) { + for (var tm = 0u; tm < TILE_M; tm += {{VEC_SIZE}}) { + let global_row = output_row_base + tm; + if (global_row < params.m) { + let dst_idx = dst_batch_offset + global_col * params.m + global_row; + dst[dst_idx/{{VEC_SIZE}}] = store_val(acc, tn, tm); + } + } + } + } +} + +#end(SHADER) |
