Vulkan Scalar Flash Attention Refactor (#19625)
* vulkan: allow using fp16 in scalar flash attention shader * split rows inside of subgroups for faster synchronization * use row_split when Br >= 4, change reductions to use shared memory if row_split == 1 * use f32 scalar FA if f16 is not supported by device * fix amd workgroup size issue * optimize masksh use * add medium rows FA shader Br size * fixes * add padding to mask shmem buffer * cache q values into registers for KQ * fuse lf accumulation, pf and v accumulation into a loop * stage K loads through shmem * stage V loads through shmem * only stage through shmem on Nvidia * default to Bc 32 * also stage V through shmem when this is done for K * dynamic subgroups for intel * use vectorized stores * use float_type for dequantize4 functions * use smaller scalar rows size for smaller rows count * relax flash attention split_k condition to allow non-gqa use * use minimal subgroup size on Intel * fix shmem support function * fix rebase issues * fixes * Bc 4 for scalar FA is not a valid configuration * Use wave32 on AMD RDNA for scalar FA * add Intel shader core count lookup-table * fix regressions * device tuning * tmpsh size fix * fix editorconfig * refactor fa tuning logic into a single place * fix gqa opt logic * fix block_rows with small n_rows * amd tuning * fix hsk=72/80 issue * tuning * allow condition skipping for column check * use float16 for Of if available * address feedback * fix bad RDNA performance on head size <= 128 by limiting occupancy * allow printing pipeline stats * cleanup and fixes * limit occupancy for GCN for small batch FA with large HSK * disable f16 FA for GCN AMD GPUs on the proprietary driver
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@@ -595,8 +595,6 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
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}
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void process_shaders() {
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std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}};
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// matmul
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for (const MatMulIdType& matmul_id_type : {MatMulIdType::NONE, MatMulIdType::DEFAULT, MatMulIdType::SUBGROUP}) {
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// No coopmats
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@@ -622,49 +620,63 @@ void process_shaders() {
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}
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}
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// flash attention
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for (const auto& f16acc : {false, true}) {
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std::map<std::string, std::string> fa_base_dict = base_dict;
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fa_base_dict["ACC_TYPE"] = f16acc ? "float16_t" : "float";
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fa_base_dict["ACC_TYPEV4"] = f16acc ? "f16vec4" : "vec4";
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if (f16acc) {
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fa_base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
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for (const bool& fp16 : {false, true}) {
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std::map<std::string, std::string> base_dict;
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if (fp16) {
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base_dict = {{"FLOAT_TYPE", "float16_t"}, {"FLOAT_TYPEV4", "f16vec4"}, {"FLOAT16", "1"}, {"FLOAT_TYPE_MAX", "float16_t(65504.0)"}};
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} else {
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base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV4", "vec4"}};
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}
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for (const auto& tname : type_names) {
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if (tname == "bf16") continue;
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#if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
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if (tname == "f16") {
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
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merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}}), true, false, true, f16acc);
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} else {
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std::string data_a_key = "DATA_A_" + to_uppercase(tname);
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
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merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"DEQUANTFUNC", "dequantFunc"+to_uppercase(tname) }, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), true, false, true, f16acc);
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// flash attention
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for (const bool& f16acc : {false, true}) {
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std::map<std::string, std::string> fa_base_dict = base_dict;
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fa_base_dict["ACC_TYPE"] = fp16 && f16acc ? "float16_t" : "float";
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fa_base_dict["ACC_TYPEV4"] = fp16 && f16acc ? "f16vec4" : "vec4";
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if (fp16 && f16acc) {
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fa_base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
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}
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for (const auto& tname : type_names) {
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if (tname == "bf16") continue;
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if (fp16) {
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#if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
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if (tname == "f16") {
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
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merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, true, f16acc);
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} else {
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std::string data_a_key = "DATA_A_" + to_uppercase(tname);
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
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merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"DEQUANTFUNC", "dequantFunc"+to_uppercase(tname) }, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, true, f16acc);
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}
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#endif
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#if defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT)
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if (tname == "f16") {
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
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merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"COOPMAT", "1"}}), true, true, false, f16acc);
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} else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
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std::string data_a_key = "DATA_A_" + to_uppercase(tname);
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
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merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname)}, {"COOPMAT", "1"}}), true, true, false, f16acc);
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}
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if (tname == "f16") {
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
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merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"COOPMAT", "1"}}), fp16, true, false, f16acc);
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} else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
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std::string data_a_key = "DATA_A_" + to_uppercase(tname);
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
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merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname)}, {"COOPMAT", "1"}}), fp16, true, false, f16acc);
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}
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#endif
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if (tname == "f16") {
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
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merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}}), true, false, false, f16acc);
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} else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
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std::string data_a_key = "DATA_A_" + to_uppercase(tname);
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
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merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), true, false, false, f16acc);
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}
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if (tname == "f16") {
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
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merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, false, f16acc);
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} else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
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std::string data_a_key = "DATA_A_" + to_uppercase(tname);
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string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
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merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, false, f16acc);
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}
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}
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}
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}
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std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}};
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for (const auto& tname : type_names) {
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// mul mat vec
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std::string data_a_key = "DATA_A_" + to_uppercase(tname);
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