llama : add .clang-format file (#10415)

.clang-format

@@ -0,0 +1,161 @@
+---
+Language:        Cpp
+AlignAfterOpenBracket: Align
+AlignArrayOfStructures: Left
+AlignConsecutiveAssignments: AcrossComments
+AlignConsecutiveBitFields: AcrossComments
+AlignConsecutiveDeclarations: AcrossComments
+AlignConsecutiveMacros: AcrossComments
+# AlignConsecutiveShortCaseStatements: AcrossComments
+AlignEscapedNewlines: Left # LeftWithLastLine
+AlignOperands:   Align
+AlignTrailingComments:
+  Kind: Always
+  OverEmptyLines: 1
+AllowAllArgumentsOnNextLine: true
+AllowAllParametersOfDeclarationOnNextLine: false
+# AllowBreakBeforeNoexceptSpecifier: OnlyWithParen
+AllowShortBlocksOnASingleLine: Never
+AllowShortCaseLabelsOnASingleLine: false
+AllowShortFunctionsOnASingleLine: Inline
+AllowShortIfStatementsOnASingleLine: Never
+AllowShortLambdasOnASingleLine: Inline
+AllowShortLoopsOnASingleLine: false
+AlwaysBreakBeforeMultilineStrings: true
+BinPackArguments: true
+BinPackParameters: true # OnePerLine
+BitFieldColonSpacing: Both
+BreakBeforeBraces: Custom # Attach
+BraceWrapping:
+  AfterCaseLabel:  true
+  AfterClass:      false
+  AfterControlStatement: false
+  AfterEnum:       false
+  AfterFunction:   false
+  AfterNamespace:  false
+  AfterObjCDeclaration: false
+  AfterStruct:     false
+  AfterUnion:      false
+  AfterExternBlock: false
+  BeforeCatch:     false
+  BeforeElse:      false
+  BeforeLambdaBody: false
+  BeforeWhile: false
+  IndentBraces:    false
+  SplitEmptyFunction: false
+  SplitEmptyRecord: false
+  SplitEmptyNamespace: false
+# BreakAdjacentStringLiterals: true
+BreakAfterAttributes: Never
+BreakBeforeBinaryOperators: None
+BreakBeforeInlineASMColon: OnlyMultiline
+BreakBeforeTernaryOperators: false
+# BreakBinaryOperations: Never
+BreakConstructorInitializers: AfterColon
+# BreakFunctionDefinitionParameters: false
+BreakInheritanceList: AfterComma
+BreakStringLiterals: true
+# BreakTemplateDeclarations: Yes
+ColumnLimit:     120
+CommentPragmas:  '^ IWYU pragma:'
+CompactNamespaces: false
+ConstructorInitializerIndentWidth: 4
+ContinuationIndentWidth: 4
+Cpp11BracedListStyle: false
+DerivePointerAlignment: false
+DisableFormat:   false
+EmptyLineBeforeAccessModifier: Leave
+EmptyLineAfterAccessModifier: Never
+ExperimentalAutoDetectBinPacking: false
+FixNamespaceComments: true
+IncludeBlocks:   Regroup
+IncludeCategories:
+  - Regex:           '^<.*\.h>'
+    Priority:        1
+    SortPriority:    0
+  - Regex:           '^<.*'
+    Priority:        2
+    SortPriority:    0
+  - Regex:           '.*'
+    Priority:        3
+    SortPriority:    0
+IncludeIsMainRegex: '([-_](test|unittest))?$'
+IncludeIsMainSourceRegex: ''
+IndentAccessModifiers: false
+IndentCaseBlocks: true
+IndentCaseLabels: true
+IndentExternBlock: NoIndent
+IndentGotoLabels: false
+IndentPPDirectives: AfterHash
+IndentWidth:     4
+IndentWrappedFunctionNames: false
+InsertBraces:    true # NOTE: may lead to incorrect formatting
+InsertNewlineAtEOF: true
+JavaScriptQuotes: Leave
+JavaScriptWrapImports: true
+KeepEmptyLinesAtTheStartOfBlocks: false
+LambdaBodyIndentation: Signature
+LineEnding: LF
+MacroBlockBegin: ''
+MacroBlockEnd:   ''
+MaxEmptyLinesToKeep: 1
+NamespaceIndentation: None
+ObjCBinPackProtocolList: Auto
+ObjCBlockIndentWidth: 4
+ObjCSpaceAfterProperty: true
+ObjCSpaceBeforeProtocolList: true
+PPIndentWidth: -1
+PackConstructorInitializers: CurrentLine
+PenaltyBreakAssignment: 2
+PenaltyBreakBeforeFirstCallParameter: 1
+PenaltyBreakComment: 300
+PenaltyBreakFirstLessLess: 120
+PenaltyBreakString: 1000
+PenaltyBreakTemplateDeclaration: 10
+PenaltyExcessCharacter: 1000000
+PenaltyReturnTypeOnItsOwnLine: 200
+PointerAlignment: Middle
+QualifierAlignment: Left
+#QualifierOrder: ['static', 'inline', 'friend', 'constexpr', 'const', 'volatile', 'type', 'restrict']
+RawStringFormats:
+  - Language:        Cpp
+    Delimiters:
+      - cc
+      - CC
+      - cpp
+      - Cpp
+      - CPP
+      - 'c++'
+      - 'C++'
+    CanonicalDelimiter: ''
+ReferenceAlignment: Middle
+ReflowComments:  false # IndentOnly
+SeparateDefinitionBlocks: Always
+SortIncludes:    CaseInsensitive
+SortUsingDeclarations: LexicographicNumeric
+SpaceAfterCStyleCast: true
+SpaceAfterLogicalNot: false
+SpaceAfterTemplateKeyword: true
+SpaceBeforeAssignmentOperators: true
+SpaceBeforeCpp11BracedList: false
+SpaceBeforeCtorInitializerColon: true
+SpaceBeforeInheritanceColon: true
+SpaceBeforeParens: ControlStatements
+SpaceBeforeRangeBasedForLoopColon: true
+SpaceInEmptyBlock: false
+SpaceInEmptyParentheses: false
+SpacesBeforeTrailingComments: 2
+SpacesInAngles:  Never
+SpacesInContainerLiterals: true
+SpacesInLineCommentPrefix:
+  Minimum: 1
+  Maximum: -1
+SpacesInParentheses: false
+SpacesInSquareBrackets: false
+SpaceBeforeSquareBrackets: false
+Standard:        c++17
+TabWidth:        4
+UseTab:          Never
+WhitespaceSensitiveMacros: ['STRINGIZE']
+...
+

examples/llama-bench/llama-bench.cpp

@@ -6,21 +6,21 @@
 #include <clocale>
 #include <cmath>
 #include <cstdio>
+#include <cstdlib>
 #include <cstring>
 #include <ctime>
-#include <cstdlib>
 #include <iterator>
 #include <map>
 #include <numeric>
 #include <regex>
 #include <sstream>
 #include <string>
-#include <vector>
 #include <thread>
+#include <vector>
 
+#include "common.h"
 #include "ggml.h"
 #include "llama.h"
-#include "common.h"
 
 #ifdef _WIN32
 #    define WIN32_LEAN_AND_MEAN
@@ -36,8 +36,7 @@ static uint64_t get_time_ns() {
     return std::chrono::nanoseconds(clock::now().time_since_epoch()).count();
 }
 
-template<class T>
+template <class T> static std::string join(const std::vector<T> & values, const std::string & delim) {
-static std::string join(const std::vector<T> & values, const std::string & delim) {
     std::ostringstream str;
     for (size_t i = 0; i < values.size(); i++) {
         str << values[i];
@@ -48,15 +47,13 @@ static std::string join(const std::vector<T> & values, const std::string & delim
     return str.str();
 }
 
-template<typename T, typename F>
+template <typename T, typename F> static std::vector<std::string> transform_to_str(const std::vector<T> & values, F f) {
-static std::vector<std::string> transform_to_str(const std::vector<T> & values, F f) {
     std::vector<std::string> str_values;
     std::transform(values.begin(), values.end(), std::back_inserter(str_values), f);
     return str_values;
 }
 
-template<typename T>
+template <typename T> static T avg(const std::vector<T> & v) {
-static T avg(const std::vector<T> & v) {
     if (v.empty()) {
         return 0;
     }
@@ -64,8 +61,7 @@ static T avg(const std::vector<T> & v) {
     return sum / (T) v.size();
 }
 
-template<typename T>
+template <typename T> static T stdev(const std::vector<T> & v) {
-static T stdev(const std::vector<T> & v) {
     if (v.size() <= 1) {
         return 0;
     }
@@ -104,13 +100,20 @@ enum output_formats {NONE, CSV, JSON, JSONL, MARKDOWN, SQL};
 
 static const char * output_format_str(output_formats format) {
     switch (format) {
-        case NONE:     return "none";
+        case NONE:
-        case CSV:      return "csv";
+            return "none";
-        case JSON:     return "json";
+        case CSV:
-        case JSONL:    return "jsonl";
+            return "csv";
-        case MARKDOWN: return "md";
+        case JSON:
-        case SQL:      return "sql";
+            return "json";
-        default: GGML_ABORT("invalid output format");
+        case JSONL:
+            return "jsonl";
+        case MARKDOWN:
+            return "md";
+        case SQL:
+            return "sql";
+        default:
+            GGML_ABORT("invalid output format");
     }
 }
 
@@ -135,10 +138,14 @@ static bool output_format_from_str(const std::string & s, output_formats & forma
 
 static const char * split_mode_str(llama_split_mode mode) {
     switch (mode) {
-        case LLAMA_SPLIT_MODE_NONE:  return "none";
+        case LLAMA_SPLIT_MODE_NONE:
-        case LLAMA_SPLIT_MODE_LAYER: return "layer";
+            return "none";
-        case LLAMA_SPLIT_MODE_ROW:   return "row";
+        case LLAMA_SPLIT_MODE_LAYER:
-        default: GGML_ABORT("invalid split mode");
+            return "layer";
+        case LLAMA_SPLIT_MODE_ROW:
+            return "row";
+        default:
+            GGML_ABORT("invalid split mode");
     }
 }
 
@@ -218,38 +225,59 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("options:\n");
     printf("  -h, --help\n");
     printf("  -m, --model <filename>                    (default: %s)\n", join(cmd_params_defaults.model, ",").c_str());
-    printf("  -p, --n-prompt <n>                        (default: %s)\n", join(cmd_params_defaults.n_prompt, ",").c_str());
+    printf("  -p, --n-prompt <n>                        (default: %s)\n",
+           join(cmd_params_defaults.n_prompt, ",").c_str());
     printf("  -n, --n-gen <n>                           (default: %s)\n", join(cmd_params_defaults.n_gen, ",").c_str());
-    printf("  -pg <pp,tg>                               (default: %s)\n", join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str());
+    printf("  -pg <pp,tg>                               (default: %s)\n",
-    printf("  -b, --batch-size <n>                      (default: %s)\n", join(cmd_params_defaults.n_batch, ",").c_str());
+           join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str());
-    printf("  -ub, --ubatch-size <n>                    (default: %s)\n", join(cmd_params_defaults.n_ubatch, ",").c_str());
+    printf("  -b, --batch-size <n>                      (default: %s)\n",
-    printf("  -ctk, --cache-type-k <t>                  (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str());
+           join(cmd_params_defaults.n_batch, ",").c_str());
-    printf("  -ctv, --cache-type-v <t>                  (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str());
+    printf("  -ub, --ubatch-size <n>                    (default: %s)\n",
-    printf("  -t, --threads <n>                         (default: %s)\n", join(cmd_params_defaults.n_threads, ",").c_str());
+           join(cmd_params_defaults.n_ubatch, ",").c_str());
-    printf("  -C, --cpu-mask <hex,hex>                  (default: %s)\n", join(cmd_params_defaults.cpu_mask, ",").c_str());
+    printf("  -ctk, --cache-type-k <t>                  (default: %s)\n",
-    printf("  --cpu-strict <0|1>                        (default: %s)\n", join(cmd_params_defaults.cpu_strict, ",").c_str());
+           join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str());
+    printf("  -ctv, --cache-type-v <t>                  (default: %s)\n",
+           join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str());
+    printf("  -t, --threads <n>                         (default: %s)\n",
+           join(cmd_params_defaults.n_threads, ",").c_str());
+    printf("  -C, --cpu-mask <hex,hex>                  (default: %s)\n",
+           join(cmd_params_defaults.cpu_mask, ",").c_str());
+    printf("  --cpu-strict <0|1>                        (default: %s)\n",
+           join(cmd_params_defaults.cpu_strict, ",").c_str());
     printf("  --poll <0...100>                          (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str());
-    printf("  -ngl, --n-gpu-layers <n>                  (default: %s)\n", join(cmd_params_defaults.n_gpu_layers, ",").c_str());
+    printf("  -ngl, --n-gpu-layers <n>                  (default: %s)\n",
+           join(cmd_params_defaults.n_gpu_layers, ",").c_str());
     if (llama_supports_rpc()) {
-        printf("  -rpc, --rpc <rpc_servers>                 (default: %s)\n", join(cmd_params_defaults.rpc_servers, ",").c_str());
+        printf("  -rpc, --rpc <rpc_servers>                 (default: %s)\n",
+               join(cmd_params_defaults.rpc_servers, ",").c_str());
     }
-    printf("  -sm, --split-mode <none|layer|row>        (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
+    printf("  -sm, --split-mode <none|layer|row>        (default: %s)\n",
-    printf("  -mg, --main-gpu <i>                       (default: %s)\n", join(cmd_params_defaults.main_gpu, ",").c_str());
+           join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
-    printf("  -nkvo, --no-kv-offload <0|1>              (default: %s)\n", join(cmd_params_defaults.no_kv_offload, ",").c_str());
+    printf("  -mg, --main-gpu <i>                       (default: %s)\n",
-    printf("  -fa, --flash-attn <0|1>                   (default: %s)\n", join(cmd_params_defaults.flash_attn, ",").c_str());
+           join(cmd_params_defaults.main_gpu, ",").c_str());
-    printf("  -mmp, --mmap <0|1>                        (default: %s)\n", join(cmd_params_defaults.use_mmap, ",").c_str());
+    printf("  -nkvo, --no-kv-offload <0|1>              (default: %s)\n",
+           join(cmd_params_defaults.no_kv_offload, ",").c_str());
+    printf("  -fa, --flash-attn <0|1>                   (default: %s)\n",
+           join(cmd_params_defaults.flash_attn, ",").c_str());
+    printf("  -mmp, --mmap <0|1>                        (default: %s)\n",
+           join(cmd_params_defaults.use_mmap, ",").c_str());
     printf("  --numa <distribute|isolate|numactl>       (default: disabled)\n");
-    printf("  -embd, --embeddings <0|1>                 (default: %s)\n", join(cmd_params_defaults.embeddings, ",").c_str());
+    printf("  -embd, --embeddings <0|1>                 (default: %s)\n",
+           join(cmd_params_defaults.embeddings, ",").c_str());
     printf("  -ts, --tensor-split <ts0/ts1/..>          (default: 0)\n");
     printf("  -r, --repetitions <n>                     (default: %d)\n", cmd_params_defaults.reps);
     printf("  --prio <0|1|2|3>                          (default: %d)\n", cmd_params_defaults.prio);
     printf("  --delay <0...N> (seconds)                 (default: %d)\n", cmd_params_defaults.delay);
-    printf("  -o, --output <csv|json|jsonl|md|sql>      (default: %s)\n", output_format_str(cmd_params_defaults.output_format));
+    printf("  -o, --output <csv|json|jsonl|md|sql>      (default: %s)\n",
-    printf("  -oe, --output-err <csv|json|jsonl|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr));
+           output_format_str(cmd_params_defaults.output_format));
+    printf("  -oe, --output-err <csv|json|jsonl|md|sql> (default: %s)\n",
+           output_format_str(cmd_params_defaults.output_format_stderr));
     printf("  -v, --verbose                             (default: %s)\n", cmd_params_defaults.verbose ? "1" : "0");
     printf("  --progress                                (default: %s)\n", cmd_params_defaults.progress ? "1" : "0");
     printf("\n");
-    printf("Multiple values can be given for each parameter by separating them with ',' or by specifying the parameter multiple times.\n");
+    printf(
+        "Multiple values can be given for each parameter by separating them with ',' or by specifying the parameter "
+        "multiple times.\n");
 }
 
 static ggml_type ggml_type_from_name(const std::string & s) {
@@ -281,7 +309,6 @@ static ggml_type ggml_type_from_name(const std::string & s) {
     return GGML_TYPE_COUNT;
 }
 
-
 static cmd_params parse_cmd_params(int argc, char ** argv) {
     cmd_params        params;
     std::string       arg;
@@ -476,10 +503,16 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 break;
             } else {
                 std::string value(argv[i]);
-                /**/ if (value == "distribute" || value == "" ) { params.numa = GGML_NUMA_STRATEGY_DISTRIBUTE; }
+                /**/ if (value == "distribute" || value == "") {
-                else if (value == "isolate")                    { params.numa = GGML_NUMA_STRATEGY_ISOLATE; }
+                    params.numa = GGML_NUMA_STRATEGY_DISTRIBUTE;
-                else if (value == "numactl")                    { params.numa = GGML_NUMA_STRATEGY_NUMACTL; }
+                } else if (value == "isolate") {
-                else { invalid_param = true; break; }
+                    params.numa = GGML_NUMA_STRATEGY_ISOLATE;
+                } else if (value == "numactl") {
+                    params.numa = GGML_NUMA_STRATEGY_NUMACTL;
+                } else {
+                    invalid_param = true;
+                    break;
+                }
             }
         } else if (arg == "-fa" || arg == "--flash-attn") {
             if (++i >= argc) {
@@ -570,27 +603,69 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
     }
 
     // set defaults
-    if (params.model.empty())        { params.model = cmd_params_defaults.model; }
+    if (params.model.empty()) {
-    if (params.n_prompt.empty())     { params.n_prompt = cmd_params_defaults.n_prompt; }
+        params.model = cmd_params_defaults.model;
-    if (params.n_gen.empty())        { params.n_gen = cmd_params_defaults.n_gen; }
+    }
-    if (params.n_pg.empty())         { params.n_pg = cmd_params_defaults.n_pg; }
+    if (params.n_prompt.empty()) {
-    if (params.n_batch.empty())      { params.n_batch = cmd_params_defaults.n_batch; }
+        params.n_prompt = cmd_params_defaults.n_prompt;
-    if (params.n_ubatch.empty())     { params.n_ubatch = cmd_params_defaults.n_ubatch; }
+    }
-    if (params.type_k.empty())       { params.type_k = cmd_params_defaults.type_k; }
+    if (params.n_gen.empty()) {
-    if (params.type_v.empty())       { params.type_v = cmd_params_defaults.type_v; }
+        params.n_gen = cmd_params_defaults.n_gen;
-    if (params.n_gpu_layers.empty()) { params.n_gpu_layers = cmd_params_defaults.n_gpu_layers; }
+    }
-    if (params.rpc_servers.empty())  { params.rpc_servers = cmd_params_defaults.rpc_servers; }
+    if (params.n_pg.empty()) {
-    if (params.split_mode.empty())   { params.split_mode = cmd_params_defaults.split_mode; }
+        params.n_pg = cmd_params_defaults.n_pg;
-    if (params.main_gpu.empty())     { params.main_gpu = cmd_params_defaults.main_gpu; }
+    }
-    if (params.no_kv_offload.empty()){ params.no_kv_offload = cmd_params_defaults.no_kv_offload; }
+    if (params.n_batch.empty()) {
-    if (params.flash_attn.empty())   { params.flash_attn = cmd_params_defaults.flash_attn; }
+        params.n_batch = cmd_params_defaults.n_batch;
-    if (params.tensor_split.empty()) { params.tensor_split = cmd_params_defaults.tensor_split; }
+    }
-    if (params.use_mmap.empty())     { params.use_mmap = cmd_params_defaults.use_mmap; }
+    if (params.n_ubatch.empty()) {
-    if (params.embeddings.empty())   { params.embeddings = cmd_params_defaults.embeddings; }
+        params.n_ubatch = cmd_params_defaults.n_ubatch;
-    if (params.n_threads.empty())    { params.n_threads = cmd_params_defaults.n_threads; }
+    }
-    if (params.cpu_mask.empty())     { params.cpu_mask  = cmd_params_defaults.cpu_mask;  }
+    if (params.type_k.empty()) {
-    if (params.cpu_strict.empty())   { params.cpu_strict = cmd_params_defaults.cpu_strict; }
+        params.type_k = cmd_params_defaults.type_k;
-    if (params.poll.empty())         { params.poll = cmd_params_defaults.poll; }
+    }
+    if (params.type_v.empty()) {
+        params.type_v = cmd_params_defaults.type_v;
+    }
+    if (params.n_gpu_layers.empty()) {
+        params.n_gpu_layers = cmd_params_defaults.n_gpu_layers;
+    }
+    if (params.rpc_servers.empty()) {
+        params.rpc_servers = cmd_params_defaults.rpc_servers;
+    }
+    if (params.split_mode.empty()) {
+        params.split_mode = cmd_params_defaults.split_mode;
+    }
+    if (params.main_gpu.empty()) {
+        params.main_gpu = cmd_params_defaults.main_gpu;
+    }
+    if (params.no_kv_offload.empty()) {
+        params.no_kv_offload = cmd_params_defaults.no_kv_offload;
+    }
+    if (params.flash_attn.empty()) {
+        params.flash_attn = cmd_params_defaults.flash_attn;
+    }
+    if (params.tensor_split.empty()) {
+        params.tensor_split = cmd_params_defaults.tensor_split;
+    }
+    if (params.use_mmap.empty()) {
+        params.use_mmap = cmd_params_defaults.use_mmap;
+    }
+    if (params.embeddings.empty()) {
+        params.embeddings = cmd_params_defaults.embeddings;
+    }
+    if (params.n_threads.empty()) {
+        params.n_threads = cmd_params_defaults.n_threads;
+    }
+    if (params.cpu_mask.empty()) {
+        params.cpu_mask = cmd_params_defaults.cpu_mask;
+    }
+    if (params.cpu_strict.empty()) {
+        params.cpu_strict = cmd_params_defaults.cpu_strict;
+    }
+    if (params.poll.empty()) {
+        params.poll = cmd_params_defaults.poll;
+    }
 
     return params;
 }
@@ -633,12 +708,8 @@ struct cmd_params_instance {
     }
 
     bool equal_mparams(const cmd_params_instance & other) const {
-        return model == other.model &&
+        return model == other.model && n_gpu_layers == other.n_gpu_layers && rpc_servers == other.rpc_servers &&
-               n_gpu_layers == other.n_gpu_layers &&
+               split_mode == other.split_mode && main_gpu == other.main_gpu && use_mmap == other.use_mmap &&
-               rpc_servers == other.rpc_servers &&
-               split_mode == other.split_mode &&
-               main_gpu == other.main_gpu &&
-               use_mmap == other.use_mmap &&
                tensor_split == other.tensor_split;
     }
 
@@ -662,6 +733,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
     std::vector<cmd_params_instance> instances;
 
     // this ordering minimizes the number of times that each model needs to be reloaded
+    // clang-format off
     for (const auto & m : params.model)
     for (const auto & nl : params.n_gpu_layers)
     for (const auto & rpc : params.rpc_servers)
@@ -767,6 +839,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
             instances.push_back(instance);
         }
     }
+    // clang-format on
 
     return instances;
 }
@@ -834,28 +907,21 @@ struct test {
         (void) ctx;
     }
 
-    uint64_t avg_ns() const {
+    uint64_t avg_ns() const { return ::avg(samples_ns); }
-        return ::avg(samples_ns);
-    }
 
-    uint64_t stdev_ns() const {
+    uint64_t stdev_ns() const { return ::stdev(samples_ns); }
-        return ::stdev(samples_ns);
-    }
 
     std::vector<double> get_ts() const {
         int                 n_tokens = n_prompt + n_gen;
         std::vector<double> ts;
-        std::transform(samples_ns.begin(), samples_ns.end(), std::back_inserter(ts), [n_tokens](uint64_t t) { return 1e9 * n_tokens / t; });
+        std::transform(samples_ns.begin(), samples_ns.end(), std::back_inserter(ts),
+                       [n_tokens](uint64_t t) { return 1e9 * n_tokens / t; });
         return ts;
     }
 
-    double avg_ts() const {
+    double avg_ts() const { return ::avg(get_ts()); }
-        return ::avg(get_ts());
-    }
 
-    double stdev_ts() const {
+    double stdev_ts() const { return ::stdev(get_ts()); }
-        return ::stdev(get_ts());
-    }
 
     static std::string get_backend() {
         std::vector<std::string> backends;
@@ -871,17 +937,11 @@ struct test {
 
     static const std::vector<std::string> & get_fields() {
         static const std::vector<std::string> fields = {
-            "build_commit", "build_number",
+            "build_commit", "build_number", "cpu_info",       "gpu_info",   "backends",     "model_filename",
-            "cpu_info", "gpu_info", "backends",
+            "model_type",   "model_size",   "model_n_params", "n_batch",    "n_ubatch",     "n_threads",
-            "model_filename", "model_type", "model_size", "model_n_params",
+            "cpu_mask",     "cpu_strict",   "poll",           "type_k",     "type_v",       "n_gpu_layers",
-            "n_batch", "n_ubatch",
+            "split_mode",   "main_gpu",     "no_kv_offload",  "flash_attn", "tensor_split", "use_mmap",
-            "n_threads", "cpu_mask", "cpu_strict", "poll",
+            "embeddings",   "n_prompt",     "n_gen",          "test_time",  "avg_ns",       "stddev_ns",
-            "type_k", "type_v",
-            "n_gpu_layers", "split_mode",
-            "main_gpu", "no_kv_offload", "flash_attn",
-            "tensor_split", "use_mmap", "embeddings",
-            "n_prompt", "n_gen", "test_time",
-            "avg_ns", "stddev_ns",
             "avg_ts",       "stddev_ts",
         };
         return fields;
@@ -890,17 +950,14 @@ struct test {
     enum field_type { STRING, BOOL, INT, FLOAT };
 
     static field_type get_field_type(const std::string & field) {
-        if (field == "build_number" || field == "n_batch" || field == "n_ubatch" ||
+        if (field == "build_number" || field == "n_batch" || field == "n_ubatch" || field == "n_threads" ||
-            field == "n_threads" || field == "poll" ||
+            field == "poll" || field == "model_size" || field == "model_n_params" || field == "n_gpu_layers" ||
-            field == "model_size" || field == "model_n_params" ||
+            field == "main_gpu" || field == "n_prompt" || field == "n_gen" || field == "avg_ns" ||
-            field == "n_gpu_layers" || field == "main_gpu" ||
+            field == "stddev_ns") {
-            field == "n_prompt" || field == "n_gen" ||
-            field == "avg_ns" || field == "stddev_ns") {
             return INT;
         }
-        if (field == "f16_kv" || field == "no_kv_offload" ||
+        if (field == "f16_kv" || field == "no_kv_offload" || field == "cpu_strict" || field == "flash_attn" ||
-            field == "cpu_strict" ||
+            field == "use_mmap" || field == "embeddings") {
-            field == "flash_attn" || field == "use_mmap" || field == "embeddings") {
             return BOOL;
         }
         if (field == "avg_ts" || field == "stddev_ts") {
@@ -925,20 +982,38 @@ struct test {
                 tensor_split_str += "/";
             }
         }
-        std::vector<std::string> values = {
+        std::vector<std::string> values = { build_commit,
-            build_commit, std::to_string(build_number),
+                                            std::to_string(build_number),
-            cpu_info, gpu_info, get_backend(),
+                                            cpu_info,
-            model_filename, model_type, std::to_string(model_size), std::to_string(model_n_params),
+                                            gpu_info,
-            std::to_string(n_batch), std::to_string(n_ubatch),
+                                            get_backend(),
-            std::to_string(n_threads), cpu_mask, std::to_string(cpu_strict), std::to_string(poll),
+                                            model_filename,
-            ggml_type_name(type_k), ggml_type_name(type_v),
+                                            model_type,
-            std::to_string(n_gpu_layers), split_mode_str(split_mode),
+                                            std::to_string(model_size),
-            std::to_string(main_gpu), std::to_string(no_kv_offload), std::to_string(flash_attn),
+                                            std::to_string(model_n_params),
-            tensor_split_str, std::to_string(use_mmap), std::to_string(embeddings),
+                                            std::to_string(n_batch),
-            std::to_string(n_prompt), std::to_string(n_gen), test_time,
+                                            std::to_string(n_ubatch),
-            std::to_string(avg_ns()), std::to_string(stdev_ns()),
+                                            std::to_string(n_threads),
-            std::to_string(avg_ts()), std::to_string(stdev_ts())
+                                            cpu_mask,
-        };
+                                            std::to_string(cpu_strict),
+                                            std::to_string(poll),
+                                            ggml_type_name(type_k),
+                                            ggml_type_name(type_v),
+                                            std::to_string(n_gpu_layers),
+                                            split_mode_str(split_mode),
+                                            std::to_string(main_gpu),
+                                            std::to_string(no_kv_offload),
+                                            std::to_string(flash_attn),
+                                            tensor_split_str,
+                                            std::to_string(use_mmap),
+                                            std::to_string(embeddings),
+                                            std::to_string(n_prompt),
+                                            std::to_string(n_gen),
+                                            test_time,
+                                            std::to_string(avg_ns()),
+                                            std::to_string(stdev_ns()),
+                                            std::to_string(avg_ts()),
+                                            std::to_string(stdev_ts()) };
         return values;
     }
 
@@ -946,8 +1021,8 @@ struct test {
         std::map<std::string, std::string> map;
         auto                               fields = get_fields();
         auto                               values = get_values();
-        std::transform(fields.begin(), fields.end(), values.begin(),
+        std::transform(fields.begin(), fields.end(), values.begin(), std::inserter(map, map.end()),
-                std::inserter(map, map.end()), std::make_pair<const std::string &, const std::string &>);
+                       std::make_pair<const std::string &, const std::string &>);
         return map;
     }
 };
@@ -961,8 +1036,11 @@ struct printer {
     virtual ~printer() {}
 
     FILE * fout;
+
     virtual void print_header(const cmd_params & params) { (void) params; }
+
     virtual void print_test(const test & t) = 0;
+
     virtual void print_footer() {}
 };
 
@@ -992,7 +1070,6 @@ struct csv_printer : public printer {
     }
 };
 
-
 static std::string escape_json(const std::string & value) {
     std::string escaped;
     for (auto c : value) {
@@ -1033,7 +1110,8 @@ struct json_printer : public printer {
     void print_fields(const std::vector<std::string> & fields, const std::vector<std::string> & values) {
         assert(fields.size() == values.size());
         for (size_t i = 0; i < fields.size(); i++) {
-            fprintf(fout, "    \"%s\": %s,\n", fields.at(i).c_str(), format_json_value(fields.at(i), values.at(i)).c_str());
+            fprintf(fout, "    \"%s\": %s,\n", fields.at(i).c_str(),
+                    format_json_value(fields.at(i), values.at(i)).c_str());
         }
     }
 
@@ -1051,12 +1129,9 @@ struct json_printer : public printer {
         fflush(fout);
     }
 
-    void print_footer() override {
+    void print_footer() override { fprintf(fout, "\n]\n"); }
-        fprintf(fout, "\n]\n");
-    }
 };
 
-
 struct jsonl_printer : public printer {
     void print_fields(const std::vector<std::string> & fields, const std::vector<std::string> & values) {
         assert(fields.size() == values.size());
@@ -1303,7 +1378,8 @@ struct sql_printer : public printer {
         std::vector<std::string> fields = test::get_fields();
         fprintf(fout, "CREATE TABLE IF NOT EXISTS test (\n");
         for (size_t i = 0; i < fields.size(); i++) {
-            fprintf(fout, "  %s %s%s\n", fields.at(i).c_str(), get_sql_field_type(fields.at(i)).c_str(),  i < fields.size() - 1 ? "," : "");
+            fprintf(fout, "  %s %s%s\n", fields.at(i).c_str(), get_sql_field_type(fields.at(i)).c_str(),
+                    i < fields.size() - 1 ? "," : "");
         }
         fprintf(fout, ");\n");
         fprintf(fout, "\n");
@@ -1505,13 +1581,15 @@ int main(int argc, char ** argv) {
 
             if (t.n_prompt > 0) {
                 if (params.progress) {
-                    fprintf(stderr, "llama-bench: benchmark %d/%ld: prompt run %d/%d\n", params_idx, params_count, i + 1, params.reps);
+                    fprintf(stderr, "llama-bench: benchmark %d/%ld: prompt run %d/%d\n", params_idx, params_count,
+                            i + 1, params.reps);
                 }
                 test_prompt(ctx, t.n_prompt, t.n_batch, t.n_threads);
             }
             if (t.n_gen > 0) {
                 if (params.progress) {
-                    fprintf(stderr, "llama-bench: benchmark %d/%ld: generation run %d/%d\n", params_idx, params_count, i + 1, params.reps);
+                    fprintf(stderr, "llama-bench: benchmark %d/%ld: generation run %d/%d\n", params_idx, params_count,
+                            i + 1, params.reps);
                 }
                 test_gen(ctx, t.n_gen, t.n_threads);
             }