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llama.cpp
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Expose generation timings from server & update completions.js (#2116)

* use javascript generators as much cleaner API

Also add ways to access completion as promise and EventSource

* export llama_timings as struct and expose them in server

* update readme, update baked includes

* llama : uniform variable names + struct init

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Tobias Lütke 2 lat temu
rodzic
983b555e9d
commit
31cfbb1013
9 zmienionych plików z 1550 dodań i 1062 usunięć
Zunifikowany widok Pokaż statystyki zmian
  1. 20 17
      examples/server/README.md
  2. 365 183
      examples/server/completion.js.hpp
  3. 0 4
      examples/server/deps.sh
  4. 531 534
      examples/server/index.html.hpp
  5. 103 16
      examples/server/public/completion.js
  6. 78 57
      examples/server/public/index.html
  7. 416 241
      examples/server/server.cpp
  8. 22 10
      llama.cpp
  9. 15 0
      llama.h

+ 20 - 17
examples/server/README.md
Wyświetl plik 

@@ -26,20 +26,17 @@ Command line options:
 
 
 
 ## Build
 
 ## Build
 
 
 
-Build llama.cpp with server from repository root with either make or CMake.
 
+server is build alongside everything else from the root of the project
 
 
 
 - Using `make`:
 
 - Using `make`:
 
 
 
   ```bash
 
   ```bash
 
-  LLAMA_BUILD_SERVER=1 make
 
+  make
 
   ```
 
   ```
 
 
 
 - Using `CMake`:
 
 - Using `CMake`:
 
 
 
   ```bash
 
   ```bash
 
-  mkdir build-server
 
-  cd build-server
 
-  cmake -DLLAMA_BUILD_SERVER=ON ..
 
   cmake --build . --config Release
 
   cmake --build . --config Release
 
   ```
 
   ```
 
 
 
@@ -208,24 +205,30 @@ openai.api_base = "http://<Your api-server IP>:port"
 
 
 
 Then you can utilize llama.cpp as an OpenAI's **chat.completion** or **text_completion** API
 
 Then you can utilize llama.cpp as an OpenAI's **chat.completion** or **text_completion** API
 
 
 
-### Extending the Web Front End
 
+### Extending or building alternative Web Front End
 
 
 
-The default location for the static files is `examples/server/public`. You can extend the front end by running the server binary with `--path` set to `./your-directory` and importing `/completion.js` to get access to the llamaComplete() method. A simple example is below:
 
+The default location for the static files is `examples/server/public`. You can extend the front end by running the server binary with `--path` set to `./your-directory` and importing `/completion.js` to get access to the llamaComplete() method.
 
 
 
-```
 
+Read the documentation in `/completion.js` to see convenient ways to access llama.
 
+
 
+A simple example is below:
 
+
 
+```html
 
 <html>
 
 <html>
 
   <body>
 
   <body>
 
     <pre>
 
     <pre>
 
       <script type="module">
 
       <script type="module">
 
-        import { llamaComplete } from '/completion.js'
 
-
 
-        llamaComplete({
 
-            prompt: "### Instruction:\nWrite dad jokes, each one paragraph. You can use html formatting if needed.\n\n### Response:",
 
-            n_predict: 1024,
 
-          },
 
-          null,
 
-          (chunk) => document.write(chunk.data.content)
 
-        )
 
+        import { llama } from '/completion.js'
 
+
 
+        const prompt = `### Instruction:
 
+Write dad jokes, each one paragraph.
 
+You can use html formatting if needed.
 
+
 
+### Response:`
 
+
 
+        for await (const chunk of llama(prompt)) {
 
+          document.write(chunk.data.content)
 
+        }
 
       </script>
 
       </script>
 
     </pre>
 
     </pre>
 
   </body>
 
   </body>

+ 365 - 183
examples/server/completion.js.hpp
Wyświetl plik 

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 };
 
 };
 
-unsigned int completion_js_len = 2275;
 
+unsigned int completion_js_len = 4462;

+ 0 - 4
examples/server/deps.sh
Wyświetl plik 

@@ -4,10 +4,6 @@
 
 # get the directory of this script file
 
 # get the directory of this script file
 
 DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 
 DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 
 PUBLIC=$DIR/public
 
 PUBLIC=$DIR/public
 
-OUTPUT=$DIR/templats.hpp
 
-
 
-echo "// Generated file, do not edit" > $OUTPUT
 
-echo "" > $OUTPUT
 
 
 
 echo "download js bundle files"
 
 echo "download js bundle files"
 
 curl https://npm.reversehttp.com/@preact/signals-core,@preact/signals,htm/preact,preact,preact/hooks > $PUBLIC/index.js
 
 curl https://npm.reversehttp.com/@preact/signals-core,@preact/signals,htm/preact,preact,preact/hooks > $PUBLIC/index.js

Plik diff jest za duży
+ 531 - 534
examples/server/index.html.hpp


+ 103 - 16
examples/server/public/completion.js
Wyświetl plik 

@@ -5,20 +5,29 @@ const paramDefaults = {
 
   stop: ["</s>"]
 
   stop: ["</s>"]
 
 };
 
 };
 
 
 
-/**
 
- * This function completes the input text using a llama dictionary.
 
- * @param {object} params - The parameters for the completion request.
 
- * @param {object} controller - an instance of AbortController if you need one, or null.
 
- * @param {function} callback - The callback function to call when the completion is done.
 
- * @returns {string} the completed text as a string. Ideally ignored, and you get at it via the callback.
 
- */
 
-export const llamaComplete = async (params, controller, callback) => {
 
+let generation_settings = null;
 
+
 
+
 
+// Completes the prompt as a generator. Recommended for most use cases.
 
+//
 
+// Example:
 
+//
 
+//    import { llama } from '/completion.js'
 
+//
 
+//    const request = llama("Tell me a joke", {n_predict: 800})
 
+//    for await (const chunk of request) {
 
+//      document.write(chunk.data.content)
 
+//    }
 
+//
 
+export async function* llama(prompt, params = {}, config = {}) {
 
+  let controller = config.controller;
 
+
 
   if (!controller) {
 
   if (!controller) {
 
     controller = new AbortController();
 
     controller = new AbortController();
 
   }
 
   }
 
-  const completionParams = { ...paramDefaults, ...params };
 
 
 
-  // we use fetch directly here becasue the built in fetchEventSource does not support POST
 
+  const completionParams = { ...paramDefaults, ...params, prompt };
 
+
 
   const response = await fetch("/completion", {
 
   const response = await fetch("/completion", {
 
     method: 'POST',
 
     method: 'POST',
 
     body: JSON.stringify(completionParams),
 
     body: JSON.stringify(completionParams),
 
@@ -36,7 +45,6 @@ export const llamaComplete = async (params, controller, callback) => {
 
   let content = "";
 
   let content = "";
 
 
 
   try {
 
   try {
 
-
 
     let cont = true;
 
     let cont = true;
 
 
 
     while (cont) {
 
     while (cont) {
 
@@ -59,18 +67,21 @@ export const llamaComplete = async (params, controller, callback) => {
 
       result.data = JSON.parse(result.data);
 
       result.data = JSON.parse(result.data);
 
       content += result.data.content;
 
       content += result.data.content;
 
 
 
-      // callack
 
-      if (callback) {
 
-        cont = callback(result) != false;
 
-      }
 
+      // yield
 
+      yield result;
 
 
 
       // if we got a stop token from server, we will break here
 
       // if we got a stop token from server, we will break here
 
       if (result.data.stop) {
 
       if (result.data.stop) {
 
+        if (result.data.generation_settings) {
 
+          generation_settings = result.data.generation_settings;
 
+        }
 
         break;
 
         break;
 
       }
 
       }
 
     }
 
     }
 
   } catch (e) {
 
   } catch (e) {
 
-    console.error("llama error: ", e);
 
+    if (e.name !== 'AbortError') {
 
+      console.error("llama error: ", e);
 
+    }
 
     throw e;
 
     throw e;
 
   }
 
   }
 
   finally {
 
   finally {
 
@@ -79,3 +90,79 @@ export const llamaComplete = async (params, controller, callback) => {
 
 
 
   return content;
 
   return content;
 
 }
 
 }
 
+
 
+// Call llama, return an event target that you can subcribe to
 
+//
 
+// Example:
 
+//
 
+//    import { llamaEventTarget } from '/completion.js'
 
+//
 
+//    const conn = llamaEventTarget(prompt)
 
+//    conn.addEventListener("message", (chunk) => {
 
+//      document.write(chunk.detail.content)
 
+//    })
 
+//
 
+export const llamaEventTarget = (prompt, params = {}, config = {}) => {
 
+  const eventTarget = new EventTarget();
 
+  (async () => {
 
+    let content = "";
 
+    for await (const chunk of llama(prompt, params, config)) {
 
+      if (chunk.data) {
 
+        content += chunk.data.content;
 
+        eventTarget.dispatchEvent(new CustomEvent("message", { detail: chunk.data }));
 
+      }
 
+      if (chunk.data.generation_settings) {
 
+        eventTarget.dispatchEvent(new CustomEvent("generation_settings", { detail: chunk.data.generation_settings }));
 
+      }
 
+      if (chunk.data.timings) {
 
+        eventTarget.dispatchEvent(new CustomEvent("timings", { detail: chunk.data.timings }));
 
+      }
 
+    }
 
+    eventTarget.dispatchEvent(new CustomEvent("done", { detail: { content } }));
 
+  })();
 
+  return eventTarget;
 
+}
 
+
 
+// Call llama, return a promise that resolves to the completed text. This does not support streaming
 
+//
 
+// Example:
 
+//
 
+//     llamaPromise(prompt).then((content) => {
 
+//       document.write(content)
 
+//     })
 
+//
 
+//     or
 
+//
 
+//     const content = await llamaPromise(prompt)
 
+//     document.write(content)
 
+//
 
+export const llamaPromise = (prompt, params = {}, config = {}) => {
 
+  return new Promise(async (resolve, reject) => {
 
+    let content = "";
 
+    try {
 
+      for await (const chunk of llama(prompt, params, config)) {
 
+        content += chunk.data.content;
 
+      }
 
+      resolve(content);
 
+    } catch (error) {
 
+      reject(error);
 
+    }
 
+  });
 
+};
 
+
 
+/**
 
+ * (deprecated)
 
+ */
 
+export const llamaComplete = async (params, controller, callback) => {
 
+  for await (const chunk of llama(params.prompt, params, { controller })) {
 
+    callback(chunk);
 
+  }
 
+}
 
+
 
+// Get the model info from the server. This is useful for getting the context window and so on.
 
+export const llamaModelInfo = async () => {
 
+  if (!generation_settings) {
 
+    generation_settings = await fetch("/model.json").then(r => r.json());
 
+  }
 
+  return generation_settings;
 
+}

+ 78 - 57
examples/server/public/index.html
Wyświetl plik 

@@ -6,7 +6,6 @@
 
   <title>llama.cpp - chat</title>
 
   <title>llama.cpp - chat</title>
 
 
 
   <style>
 
   <style>
 
-
 
     body {
 
     body {
 
       background-color: #fff;
 
       background-color: #fff;
 
       color: #000;
 
       color: #000;
 
@@ -22,10 +21,6 @@
 
       height: 100%;
 
       height: 100%;
 
     }
 
     }
 
 
 
-    header, footer {
 
-      text-align: center;
 
-    }
 
-
 
     main {
 
     main {
 
       margin: 3px;
 
       margin: 3px;
 
       display: flex;
 
       display: flex;
 
@@ -99,6 +94,15 @@
 
       margin: 0.5em 0;
 
       margin: 0.5em 0;
 
       display: block;
 
       display: block;
 
     }
 
     }
 
+
 
+    header, footer {
 
+      text-align: center;
 
+    }
 
+
 
+    footer {
 
+      font-size: 80%;
 
+      color: #888;
 
+    }
 
   </style>
 
   </style>
 
 
 
   <script type="module">
 
   <script type="module">
 
@@ -106,10 +110,10 @@
 
       html, h, signal, effect, computed, render, useSignal, useEffect, useRef
 
       html, h, signal, effect, computed, render, useSignal, useEffect, useRef
 
     } from '/index.js';
 
     } from '/index.js';
 
 
 
-    import { llamaComplete } from '/completion.js';
 
+    import { llama } from '/completion.js';
 
 
 
     const session = signal({
 
     const session = signal({
 
-      prompt: "This is a conversation between user and llama, a friendly chatbot. respond in markdown.",
 
+      prompt: "This is a conversation between user and llama, a friendly chatbot. respond in simple markdown.",
 
       template: "{{prompt}}\n\n{{history}}\n{{char}}:",
 
       template: "{{prompt}}\n\n{{history}}\n{{char}}:",
 
       historyTemplate: "{{name}}: {{message}}",
 
       historyTemplate: "{{name}}: {{message}}",
 
       transcript: [],
 
       transcript: [],
 
@@ -118,15 +122,6 @@
 
       user: "User",
 
       user: "User",
 
     })
 
     })
 
 
 
-    const transcriptUpdate = (transcript) => {
 
-      session.value = {
 
-        ...session.value,
 
-        transcript
 
-      }
 
-    }
 
-
 
-    const chatStarted = computed(() => session.value.transcript.length > 0)
 
-
 
     const params = signal({
 
     const params = signal({
 
       n_predict: 400,
 
       n_predict: 400,
 
       temperature: 0.7,
 
       temperature: 0.7,
 
@@ -136,8 +131,18 @@
 
       top_p: 0.5,
 
       top_p: 0.5,
 
     })
 
     })
 
 
 
+    const llamaStats = signal(null)
 
     const controller = signal(null)
 
     const controller = signal(null)
 
+
 
     const generating = computed(() => controller.value == null )
 
     const generating = computed(() => controller.value == null )
 
+    const chatStarted = computed(() => session.value.transcript.length > 0)
 
+
 
+    const transcriptUpdate = (transcript) => {
 
+      session.value = {
 
+        ...session.value,
 
+        transcript
 
+      }
 
+    }
 
 
 
     // simple template replace
 
     // simple template replace
 
     const template = (str, extraSettings) => {
 
     const template = (str, extraSettings) => {
 
@@ -158,7 +163,7 @@
 
 
 
       transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
 
       transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
 
 
 
-      const payload = template(session.value.template, {
 
+      const prompt = template(session.value.template, {
 
         message: msg,
 
         message: msg,
 
         history: session.value.transcript.flatMap(([name, message]) => template(session.value.historyTemplate, {name, message})).join("\n"),
 
         history: session.value.transcript.flatMap(([name, message]) => template(session.value.historyTemplate, {name, message})).join("\n"),
 
       });
 
       });
 
@@ -168,22 +173,26 @@
 
 
 
       const llamaParams = {
 
       const llamaParams = {
 
         ...params.value,
 
         ...params.value,
 
-        prompt: payload,
 
         stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
 
         stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
 
       }
 
       }
 
 
 
-      await llamaComplete(llamaParams, controller.value, (message) => {
 
-        const data = message.data;
 
+      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value })) {
 
+        const data = chunk.data;
 
         currentMessage += data.content;
 
         currentMessage += data.content;
 
+
 
         // remove leading whitespace
 
         // remove leading whitespace
 
         currentMessage = currentMessage.replace(/^\s+/, "")
 
         currentMessage = currentMessage.replace(/^\s+/, "")
 
 
 
         transcriptUpdate([...history, ["{{char}}", currentMessage]])
 
         transcriptUpdate([...history, ["{{char}}", currentMessage]])
 
 
 
         if (data.stop) {
 
         if (data.stop) {
 
-          console.log("-->", data, ' response was:', currentMessage, 'transcript state:', session.value.transcript);
 
+          console.log("Completion finished: '", currentMessage, "', summary: ", data);
 
         }
 
         }
 
-      })
 
+
 
+        if (data.timings) {
 
+          llamaStats.value = data.timings;
 
+        }
 
+      }
 
 
 
       controller.value = null;
 
       controller.value = null;
 
     }
 
     }
 
@@ -219,13 +228,12 @@
 
       return html`
 
       return html`
 
         <form onsubmit=${submit}>
 
         <form onsubmit=${submit}>
 
           <div>
 
           <div>
 
-          <textarea type="text" rows=2 onkeypress=${enterSubmits} value="${message}" oninput=${(e) => message.value = e.target.value} placeholder="Say something..."/>
 
-
 
+            <textarea type="text" rows=2 onkeypress=${enterSubmits} value="${message}" oninput=${(e) => message.value = e.target.value} placeholder="Say something..."/>
 
           </div>
 
           </div>
 
           <div class="right">
 
           <div class="right">
 
-          <button type="submit" disabled=${!generating.value} >Send</button>
 
-          <button onclick=${stop} disabled=${generating}>Stop</button>
 
-          <button onclick=${reset}>Reset</button>
 
+            <button type="submit" disabled=${!generating.value} >Send</button>
 
+            <button onclick=${stop} disabled=${generating}>Stop</button>
 
+            <button onclick=${reset}>Reset</button>
 
           </div>
 
           </div>
 
         </form>
 
         </form>
 
       `
 
       `
 
@@ -243,7 +251,7 @@
 
       }, [messages])
 
       }, [messages])
 
 
 
       const chatLine = ([user, msg]) => {
 
       const chatLine = ([user, msg]) => {
 
-        return html`<p key=${msg}><strong>${template(user)}:</strong> <${Markdown} text=${template(msg)} /></p>`
 
+        return html`<p key=${msg}><strong>${template(user)}:</strong> <${Markdownish} text=${template(msg)} /></p>`
 
       };
 
       };
 
 
 
       return html`
 
       return html`
 
@@ -313,39 +321,52 @@
 
         </form>
 
         </form>
 
       `
 
       `
 
     }
 
     }
 
-const Markdown = (params) => {
 
-  const md = params.text
 
-    .replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
 
-    .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
 
-    .replace(/__(.*?)__/g, '<strong>$1</strong>')
 
-    .replace(/\*(.*?)\*/g, '<em>$1</em>')
 
-    .replace(/_(.*?)_/g, '<em>$1</em>')
 
-    .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
 
-    .replace(/`(.*?)`/g, '<code>$1</code>')
 
-    .replace(/\n/gim, '<br />');
 
-  return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
 
-};
 
+    // poor mans markdown replacement
 
+    const Markdownish = (params) => {
 
+      const md = params.text
 
+        .replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
 
+        .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
 
+        .replace(/__(.*?)__/g, '<strong>$1</strong>')
 
+        .replace(/\*(.*?)\*/g, '<em>$1</em>')
 
+        .replace(/_(.*?)_/g, '<em>$1</em>')
 
+        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
 
+        .replace(/`(.*?)`/g, '<code>$1</code>')
 
+        .replace(/\n/gim, '<br />');
 
+      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
 
+    };
 
+
 
+    const ModelGenerationInfo = (params) => {
 
+      if (!llamaStats.value) {
 
+        return html`<span/>`
 
+      }
 
+      return html`
 
+        <span>
 
+          ${llamaStats.value.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.predicted_per_second.toFixed(2)} tokens per second
 
+        </span>
 
+      `
 
+    }
 
 
 
     function App(props) {
 
     function App(props) {
 
 
 
       return html`
 
       return html`
 
-      <div id="container">
 
-        <header>
 
-          <h1>llama.cpp</h1>
 
-        </header>
 
-
 
-        <main id="content">
 
-          <${chatStarted.value ? ChatLog : ConfigForm} />
 
-        </main>
 
-
 
-        <footer id="write">
 
-          <${MessageInput} />
 
-        </footer>
 
-
 
-        <footer>
 
-          <p>Powered by <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a></p>
 
-        </footer>
 
-      </div>
 
+        <div id="container">
 
+          <header>
 
+            <h1>llama.cpp</h1>
 
+          </header>
 
+
 
+          <main id="content">
 
+            <${chatStarted.value ? ChatLog : ConfigForm} />
 
+          </main>
 
+
 
+          <section id="write">
 
+            <${MessageInput} />
 
+          </section>
 
+
 
+          <footer>
 
+            <p><${ModelGenerationInfo} /></p>
 
+            <p>Powered by <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
 
+          </footer>
 
+        </div>
 
       `;
 
       `;
 
     }
 
     }

Plik diff jest za duży
+ 416 - 241
examples/server/server.cpp


+ 22 - 10
llama.cpp
Wyświetl plik 

@@ -3480,23 +3480,35 @@ llama_token llama_token_nl() {
 
     return 13;
 
     return 13;
 
 }
 
 }
 
 
 
+struct llama_timings llama_get_timings(struct llama_context * ctx) {
 
+    struct llama_timings result = {
 
+        /*.t_start_ms  =*/ 1e-3 * ctx->t_start_us,
 
+        /*.t_end_ms    =*/ 1.00 * ggml_time_ms(),
 
+        /*.t_load_ms   =*/ 1e-3 * ctx->t_load_us,
 
+        /*.t_sample_ms =*/ 1e-3 * ctx->t_sample_us,
 
+        /*.t_p_eval_ms =*/ 1e-3 * ctx->t_p_eval_us,
 
+        /*.t_eval_ms   =*/ 1e-3 * ctx->t_eval_us,
 
+
 
+        /*.n_sample =*/ std::max(1, ctx->n_sample),
 
+        /*.n_p_eval =*/ std::max(1, ctx->n_p_eval),
 
+        /*.n_eval   =*/ std::max(1, ctx->n_eval),
 
+    };
 
 
 
-void llama_print_timings(struct llama_context * ctx) {
 
-    const int64_t t_end_us = ggml_time_us();
 
+    return result;
 
+}
 
 
 
-    const int32_t n_sample = std::max(1, ctx->n_sample);
 
-    const int32_t n_eval   = std::max(1, ctx->n_eval);
 
-    const int32_t n_p_eval = std::max(1, ctx->n_p_eval);
 
+void llama_print_timings(struct llama_context * ctx) {
 
+    const llama_timings timings = llama_get_timings(ctx);
 
 
 
     fprintf(stderr, "\n");
 
     fprintf(stderr, "\n");
 
-    fprintf(stderr, "%s:        load time = %8.2f ms\n", __func__, ctx->t_load_us / 1000.0);
 
+    fprintf(stderr, "%s:        load time = %8.2f ms\n", __func__, timings.t_load_ms);
 
     fprintf(stderr, "%s:      sample time = %8.2f ms / %5d runs   (%8.2f ms per token, %8.2f tokens per second)\n",
 
     fprintf(stderr, "%s:      sample time = %8.2f ms / %5d runs   (%8.2f ms per token, %8.2f tokens per second)\n",
 
-            __func__, 1e-3 * ctx->t_sample_us, n_sample, 1e-3 * ctx->t_sample_us / n_sample, 1e6 / ctx->t_sample_us * n_sample);
 
+            __func__, timings.t_sample_ms, timings.n_sample, timings.t_sample_ms / timings.n_sample, 1e3 / timings.t_sample_ms * timings.n_sample);
 
     fprintf(stderr, "%s: prompt eval time = %8.2f ms / %5d tokens (%8.2f ms per token, %8.2f tokens per second)\n",
 
     fprintf(stderr, "%s: prompt eval time = %8.2f ms / %5d tokens (%8.2f ms per token, %8.2f tokens per second)\n",
 
-            __func__, 1e-3 * ctx->t_p_eval_us, n_p_eval, 1e-3 * ctx->t_p_eval_us / n_p_eval, 1e6 / ctx->t_p_eval_us * n_p_eval);
 
+            __func__, timings.t_p_eval_ms, timings.n_p_eval, timings.t_p_eval_ms / timings.n_p_eval, 1e3 / timings.t_p_eval_ms * timings.n_p_eval);
 
     fprintf(stderr, "%s:        eval time = %8.2f ms / %5d runs   (%8.2f ms per token, %8.2f tokens per second)\n",
 
     fprintf(stderr, "%s:        eval time = %8.2f ms / %5d runs   (%8.2f ms per token, %8.2f tokens per second)\n",
 
-            __func__, 1e-3 * ctx->t_eval_us,   n_eval,   1e-3 * ctx->t_eval_us   / n_eval,   1e6 / ctx->t_eval_us   * n_eval);
 
-    fprintf(stderr, "%s:       total time = %8.2f ms\n", __func__, (t_end_us - ctx->t_start_us)/1000.0);
 
+            __func__, timings.t_eval_ms, timings.n_eval, timings.t_eval_ms / timings.n_eval, 1e3 / timings.t_eval_ms * timings.n_eval);
 
+    fprintf(stderr, "%s:       total time = %8.2f ms\n", __func__, (timings.t_end_ms - timings.t_start_ms));
 
 }
 
 }
 
 
 
 void llama_reset_timings(struct llama_context * ctx) {
 
 void llama_reset_timings(struct llama_context * ctx) {

+ 15 - 0
llama.h
Wyświetl plik 

@@ -134,6 +134,20 @@ extern "C" {
 
         bool quantize_output_tensor; // quantize output.weight
 
         bool quantize_output_tensor; // quantize output.weight
 
     } llama_model_quantize_params;
 
     } llama_model_quantize_params;
 
 
 
+    // performance timing information
 
+    struct llama_timings {
 
+        double t_start_ms;
 
+        double t_end_ms;
 
+        double t_load_ms;
 
+        double t_sample_ms;
 
+        double t_p_eval_ms;
 
+        double t_eval_ms;
 
+
 
+        int32_t n_sample;
 
+        int32_t n_p_eval;
 
+        int32_t n_eval;
 
+    };
 
+
 
     LLAMA_API struct llama_context_params llama_context_default_params();
 
     LLAMA_API struct llama_context_params llama_context_default_params();
 
     LLAMA_API struct llama_model_quantize_params llama_model_quantize_default_params();
 
     LLAMA_API struct llama_model_quantize_params llama_model_quantize_default_params();
 
 
 
@@ -331,6 +345,7 @@ extern "C" {
 
     LLAMA_API llama_token llama_sample_token(struct llama_context * ctx, llama_token_data_array * candidates);
 
     LLAMA_API llama_token llama_sample_token(struct llama_context * ctx, llama_token_data_array * candidates);
 
 
 
     // Performance information
 
     // Performance information
 
+    LLAMA_API struct llama_timings llama_get_timings(struct llama_context * ctx);
 
     LLAMA_API void llama_print_timings(struct llama_context * ctx);
 
     LLAMA_API void llama_print_timings(struct llama_context * ctx);
 
     LLAMA_API void llama_reset_timings(struct llama_context * ctx);
 
     LLAMA_API void llama_reset_timings(struct llama_context * ctx);

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