From f74ac29cefd4daed8199a5c626ce3e85afbe26b7 Mon Sep 17 00:00:00 2001 From: Rahul Chand Date: Sun, 17 Sep 2023 03:02:28 +0530 Subject: [PATCH] source code --- package.json | 11 +- public/all_configs.json | 1 + public/favicon.ico | Bin 3870 -> 15406 bytes public/index.html | 12 +- public/itsovermeme.png | Bin 0 -> 113209 bytes public/weback.jpg | Bin 0 -> 14747 bytes src/App.js | 1238 ++++++++++++++++++++++++++++++++++++++- src/index.js | 1 + src/textBox.js | 18 + tailwind.config.js | 11 + 10 files changed, 1269 insertions(+), 23 deletions(-) create mode 100644 public/all_configs.json create mode 100644 public/itsovermeme.png create mode 100644 public/weback.jpg create mode 100644 src/textBox.js create mode 100644 tailwind.config.js diff --git a/package.json b/package.json index cf049b5..61ac316 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,7 @@ { "name": "gpu_mem", "version": "0.1.0", + "homepage": "https://rahulschand.github.io/gpu_poor", "private": true, "dependencies": { "@testing-library/jest-dom": "^5.17.0", @@ -8,10 +9,15 @@ "@testing-library/user-event": "^13.5.0", "react": "^18.2.0", "react-dom": "^18.2.0", - "react-scripts": "5.0.1", + "react-modal": "^3.16.1", + "react-router-dom": "^6.16.0", + "react-scripts": "^5.0.1", + "tailwind": "^4.0.0", "web-vitals": "^2.1.4" }, "scripts": { + "predeploy": "npm run build", + "deploy": "gh-pages -d build", "start": "react-scripts start", "build": "react-scripts build", "test": "react-scripts test", @@ -34,5 +40,8 @@ "last 1 firefox version", "last 1 safari version" ] + }, + "devDependencies": { + "gh-pages": "^6.0.0" } } diff --git a/public/all_configs.json b/public/all_configs.json new file mode 100644 index 0000000..d0dc5cb --- /dev/null +++ b/public/all_configs.json @@ -0,0 +1 @@ +{"NousResearch/Llama-2-13b-hf": {"architectures": ["LlamaForCausalLM"], "hidden_size": 5120, "intermediate_size": 13824, "num_attention_heads": 40, "num_hidden_layers": 40, "vocab_size": 32000}, "google/flan-t5-base": 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parsedJSONData, + setErrorMessage, + openModal + ); + if (parsedConfig == null) { + return null; + } + console.log(parsedConfig); + modelSizeinB = computeModelSize(parsedConfig); + } + + let fB = floatBytes; + if (quantType === "bnb_int8") { + fB = 1; + } + if (quantType === "bnb_q4") { + fB = 0.5; + } + let modelSizeinMB = convertToMBModelSize(modelSizeinB, quantType); + // console.log(modelSizeinB); + + //!Inference + if (trnType != "trn") { + const checkSanity = checkCombinationInference( + trnType, + quantType, + setErrorMessage, + openModal + ); + if (!checkSanity) { + return null; + } + + if (trnType === "inf" || trnType === "inf_vLLM") { + let fB = 2; + //If bnb quant + if (quantType === "bnb_int8") { + fB = 1; + } + if (quantType === "bnb_q4") { + fB = 0.5; + } + + inferenceMemory = convertToMB( + 2 * + contextLen * + 2 * + 2 * + parsedConfig["hiddenDim"] * + parsedConfig["num_layers"] + ); + + activationMemory = computeInferenceOnlyActivationMemory( + contextLen, + parsedConfig + ); + + console.log( + "HERE!!!", + inferenceMemory, + modelSizeinMB, + overHead, + activationMemory + ); + } + if (trnType === "inf_ggml") { + modelSizeinMB = computeModelSizeGGML(parsedConfig, quantType); + inferenceMemory = convertToMB( + 1 * + contextLen * + 2 * + 2 * + parsedConfig["hiddenDim"] * + parsedConfig["num_layers"] + ); + activationMemory = computeInferenceOnlyActivationMemory( + contextLen, + parsedConfig + ); + overHead = overHead + computeOverheadGGML(contextLen); + } + + totalMemory = + inferenceMemory + modelSizeinMB + overHead + activationMemory; + } else { + //! Train + activationMemory = getActivationMemory( + parsedConfig, + contextLen, + floatBytes, + quantType, + selections.dropdownFullOrNot, + batchSize + ); + + activationMemory = convertToMB(activationMemory); + console.log("got activation", activationMemory); + + gradAndOptMemory = getGradOptMemory( + selections.dropdownFullOrNot, + selections.dropdownOpt, + quantType, + modelSizeinB, + floatBytes, + parsedConfig + ); + + console.log("got gradOpt", gradAndOptMemory); + + gradAndOptMemory = convertToMB(gradAndOptMemory); + totalMemory = modelSizeinMB + gradAndOptMemory + activationMemory; + + console.log("got total", totalMemory); + + totalMemory = totalMemory + overHead; + } + + return { + Total: Math.ceil(totalMemory), + "KV Cache": Math.ceil(inferenceMemory), + "Model Size": Math.ceil(modelSizeinMB), + "Activation Memory": Math.ceil(activationMemory), + "Grad & Optimizer memory": Math.ceil(gradAndOptMemory), + "cuda + other overhead": overHead, + }; +} + +///Users/rahulchand/gpu_mem/public/all_configs.json +async function fetchParams(name) { + // let output = fetch('https://huggingface.co/meta-llama/Llama-2-7b/raw/main/params.json'); + + let response = await fetch(configPath); + response = await response.json(); + // console.log(response.hasOwnProperty(name)); + + return response.hasOwnProperty(name) ? response[name] : null; +} + +// function isNumberOrFloat(value) { +// return /^-?\d+(\.\d+)?$/.test(value); +// } + +function isNumberOrFloat(value) { + const num = parseFloat(value); + return !isNaN(num) && num > 0; +} + +function isValidPositiveInteger(input) { + const num = parseFloat(input); + console.log(num, input); + return Number.isInteger(num) && num > 0 && input.trim() !== ""; +} function App() { - return ( -

- ); + // let subtitle; + const [modelSize, setModelSize] = useState(""); + const [modelName, setModelName] = useState(""); + const [contextLen, setContextLen] = useState(""); + const [batchSize, setBatchSize] = useState(""); + const [totalMemoryShown, setTotalMemoryShown] = useState(" "); + const [breakDownMemory, setBreakDownMemory] = useState(" "); + const [errorMessage, setErrorMessage] = useState(""); + + const [fileNameUpload, setFileNameUpload] = useState(""); + + const [modalIsOpen, setIsOpen] = React.useState(false); + + const [jsonData, setJsonData] = useState(null); + + function openModal() { + setIsOpen(true); + } + + function closeModal() { + setIsOpen(false); + } + + const handleFileClear = (event) => { + setFileNameUpload(""); + setJsonData(null); + setTotalMemoryShown(""); + setBreakDownMemory(""); + }; + + const handleFileChange = (event) => { + const file = event.target.files[0]; + if (file) { + // Check file size + if (file.size > MAX_FILE_SIZE) { + alert("File is too large. Please upload a smaller JSON file."); + return; + } + + const reader = new FileReader(); + reader.onload = (e) => { + try { + const json = JSON.parse(e.target.result); + setJsonData(json); + event.target.value = null; + } catch (error) { + console.error("Error parsing JSON:", error); + alert("Invalid JSON file."); + } + }; + setFileNameUpload(file.name); + reader.readAsText(file); + console.log(jsonData); + } + }; + + const [selections, setSelections] = useState({ + dropdownTrnOrNot: "inf", + dropdownFullOrNot: "full_trn", + dropdownOpt: "adam_opt", + dropdownQuant: "no_quant", + dropdownGPU: "rtx_3090", + }); + + const handleChangeSelection = (e) => { + const { name, value } = e.target; + setSelections((prevState) => ({ + ...prevState, + [name]: value, + })); + }; + + // const handleChangeInText1 = (event) => { + // setModelSize(event.target.value); + // }; + + const [output1, setOutput1] = useState(""); + + async function handleClickTokS() { + setErrorMessage("To be added"); + openModal(); + return; + } + + async function handleReset() { + setFileNameUpload(""); + setJsonData(null); + setTotalMemoryShown(""); + setBreakDownMemory(""); + setContextLen(""); + setBatchSize(""); + setModelSize(""); + setModelName(""); + } + + async function handleClick() { + let parsedConfig = await fetchParams(specialMapping(modelName)); + const out = getAllComputedData( + parsedConfig, + jsonData, + modelSize, + contextLen, + 2, + selections, + setErrorMessage, + openModal, + batchSize + ); + + if (out == null) { + return; + } + + setTotalMemoryShown(`Total Memory: ${out["Total"]} MB`); + const jsonOut = JSON.stringify(out); + setBreakDownMemory(`Breakdown(in MB): ${jsonOut}`); + } + + // const handleClick = () => { + + // const trnVal = selections.dropdownTrnOrNot; + // let totalMemory = 0; + // let size = parseFloat(modelSize); + // if (trnVal==='trn'){ + + // } + + // console.log(modelSize); + // console.log(isNumberOrFloat(modelSize)); + + // // console.log("clicking"); + // // setOutput1(selections.dropdownTrnOrNot + ' ' + selections.dropdownFullOrNot); + + // // console.log() + + // }; + + return ( + +
+
+
+ +
+ +
{errorMessage}
+
+ +
+ Are you GPU poor?{" "} + 🫵🤨 +
+
+ Calculate how much GPU memory you need to run a + particular LLM +
+
+ meme +

OR

+ meme +
+
+
+ + +
+ + +
+ + +
+
OR
+
+
+ + + + {fileNameUpload} + +
+
+ +
+
+
+ +

+ +
+ + +
+ +
+
+ + +
+
+ + +
+
+ + +
+
+ +
+
+ + +
+
+ + +
+
+ + +
+
+
+

+ {/* */} +
+
+ +
+
+ +
+
+ +
+
+
+

+
+
+ {totalMemoryShown} +
+
{breakDownMemory}
+
+

+

+ +
+ PS: These are approximate values & may vary by 500MB-1GB + depending on the GPU, model, input, cuda version etc. If + your setup has ~1GB over the requirement you should likely + be good. +
+ + {/* + + */} +
+
+ ); } export default App; diff --git a/src/index.js b/src/index.js index d563c0f..5276979 100644 --- a/src/index.js +++ b/src/index.js @@ -7,6 +7,7 @@ import reportWebVitals from './reportWebVitals'; const root = ReactDOM.createRoot(document.getElementById('root')); root.render( + ); diff --git a/src/textBox.js b/src/textBox.js new file mode 100644 index 0000000..65bc57d --- /dev/null +++ b/src/textBox.js @@ -0,0 +1,18 @@ +import React from 'react'; + +function TextInput(props) { +// const [value, setValue] = useState(''); // useState hook to manage the input value + + const fun = props.setValue; + + return ( + fun(e.target.value)} + placeholder={props.placeholder} + /> + ); +} + +export default TextInput; diff --git a/tailwind.config.js b/tailwind.config.js new file mode 100644 index 0000000..c0958ec --- /dev/null +++ b/tailwind.config.js @@ -0,0 +1,11 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + content: [ + "./src/**/*.{js,jsx,ts,tsx}", + ], + theme: { + extend: {}, + }, + plugins: [], +} +