From 743b12596dc7347bd249f6ff606da1201738fb2e Mon Sep 17 00:00:00 2001 From: karkir0003 Date: Sat, 8 Jul 2023 21:19:52 -0400 Subject: [PATCH 01/32] react flow tabular dnd init --- frontend/package.json | 1 + .../Tabular/components/TabularDnd.tsx | 40 + .../components/TabularParametersStep.tsx | 43 +- frontend/yarn.lock | 359 +- poetry.lock | 5516 +++++++++++++++++ 5 files changed, 5955 insertions(+), 4 deletions(-) create mode 100644 frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx create mode 100644 poetry.lock diff --git a/frontend/package.json b/frontend/package.json index 77d9b6f48..db3dddd00 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -66,6 +66,7 @@ "react-select": "^5.3.2", "react-syntax-highlighter": "^15.5.0", "react-toastify": "^9.0.7", + "reactflow": "^11.7.4", "socket.io-client": "^4.5.1", "styled-components": "^5.3.5", "typescript": "^5.0.2", diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx new file mode 100644 index 000000000..9a6c1cd19 --- /dev/null +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -0,0 +1,40 @@ +import React, { useCallback } from 'react'; +import ReactFlow, { + MiniMap, + Controls, + Background, + useNodesState, + useEdgesState, + addEdge, +} from 'reactflow'; + +import 'reactflow/dist/style.css'; + +const initialNodes = [ + { id: '1', position: { x: 0, y: 0 }, data: { label: '1' } }, + { id: '2', position: { x: 0, y: 100 }, data: { label: '2' } }, +]; +const initialEdges = [{ id: 'e1-2', source: '1', target: '2' }]; + +export default function App() { + const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); + const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); + + const onConnect = useCallback((params) => setEdges((eds) => addEdge(params, eds)), [setEdges]); + + return ( +
+ + + + + +
+ ); +} \ No newline at end of file diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index ce2305107..512dd3f2c 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -1,5 +1,5 @@ -import React, { useEffect, useMemo, useState } from "react"; -import { useLazyGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; +import React, { useCallback, useEffect, useMemo, useState } from "react"; +import { useGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; import { useAppDispatch, useAppSelector } from "@/common/redux/hooks"; import { Autocomplete, @@ -57,6 +57,23 @@ import { } from "@/common/utils/dndHelpers"; import ClientOnlyPortal from "@/common/components/ClientOnlyPortal"; import { updateTabularTrainspaceData } from "../redux/tabularActions"; +import ReactFlow, { + MiniMap, + Controls, + Background, + useNodesState, + useEdgesState, + addEdge, +} from 'reactflow'; + +import 'reactflow/dist/style.css'; +import TabularDnd from "./TabularDnd"; + +const initialNodes = [ + { id: '1', position: { x: 0, y: 0 }, data: { label: '1' }, nodesDraggable: true}, + { id: '2', position: { x: 0, y: 100 }, data: { label: '2' }, nodesDraggable: true }, +]; +const initialEdges = [{ id: 'e1-2', source: '1', target: '2' }]; const HtmlTooltip = styled( ({ @@ -346,6 +363,7 @@ const TabularParametersStep = ({ )} /> + {renderStepperButtons((trainspaceData) => { handleSubmit((data) => { @@ -365,6 +383,27 @@ const TabularParametersStep = ({ ); }; +// const TabularDnd = () => { +// const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); +// const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); +// const onConnect = useCallback((params) => setEdges((eds) => addEdge(params, eds)), [setEdges]); +// return ( +//
+// +// +// +// +// +//
+// ) +// } + const LayersDnd = ({ control, errors, diff --git a/frontend/yarn.lock b/frontend/yarn.lock index a27802851..7be47b9c4 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -1281,6 +1281,72 @@ dependencies: "@swc/helpers" "^0.4.14" +"@reactflow/background@11.2.4": + version "11.2.4" + resolved "https://registry.yarnpkg.com/@reactflow/background/-/background-11.2.4.tgz#06cd4c9f222dbeb2d3ffb2a530b6d88bf130dd9c" + integrity sha512-SYQbCRCU0GuxT/40Tm7ZK+l5wByGnNJSLtZhbL9C/Hl7JhsJXV3UGXr0vrlhVZUBEtkWA7XhZM/5S9XEA5XSFA== + dependencies: + "@reactflow/core" "11.7.4" + classcat "^5.0.3" + zustand "^4.3.1" + +"@reactflow/controls@11.1.15": + version "11.1.15" + resolved "https://registry.yarnpkg.com/@reactflow/controls/-/controls-11.1.15.tgz#6dc823eb67f38a50907fffcc21b6a20e4fc00e7c" + integrity sha512-//33XfBYu8vQ6brfmlZwKrDoh+8hh93xO2d88XiqfIbrPEEb32SYjsb9mS9VuHKNlSIW+eB27fBA1Gt00mEj5w== + dependencies: + "@reactflow/core" "11.7.4" + classcat "^5.0.3" + zustand "^4.3.1" + 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"https://registry.yarnpkg.com/@types/gestalt/-/gestalt-101.0.0.tgz#88405e78e46aaf2d241dd8afcf66593a6f1ce71b" @@ -2149,6 +2430,11 @@ clamp@^1.0.1: resolved "https://registry.yarnpkg.com/clamp/-/clamp-1.0.1.tgz#66a0e64011816e37196828fdc8c8c147312c8634" integrity sha512-kgMuFyE78OC6Dyu3Dy7vcx4uy97EIbVxJB/B0eJ3bUNAkwdNcxYzgKltnyADiYwsR7SEqkkUPsEUT//OVS6XMA== +classcat@^5.0.3, classcat@^5.0.4: + version "5.0.4" + resolved "https://registry.yarnpkg.com/classcat/-/classcat-5.0.4.tgz#e12d1dfe6df6427f260f03b80dc63571a5107ba6" + integrity sha512-sbpkOw6z413p+HDGcBENe498WM9woqWHiJxCq7nvmxe9WmrUmqfAcxpIwAiMtM5Q3AhYkzXcNQHqsWq0mND51g== + classnames@^2.2.6, classnames@^2.3.1: version "2.3.2" resolved "https://registry.yarnpkg.com/classnames/-/classnames-2.3.2.tgz#351d813bf0137fcc6a76a16b88208d2560a0d924" @@ -2501,6 +2787,24 @@ d3-dispatch@1: resolved "https://registry.yarnpkg.com/d3-dispatch/-/d3-dispatch-1.0.6.tgz#00d37bcee4dd8cd97729dd893a0ac29caaba5d58" integrity 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"https://registry.yarnpkg.com/d3-force/-/d3-force-1.2.1.tgz#fd29a5d1ff181c9e7f0669e4bd72bdb0e914ec0b" @@ -2538,7 +2842,7 @@ d3-hierarchy@^1.1.9: resolved "https://registry.yarnpkg.com/d3-hierarchy/-/d3-hierarchy-1.1.9.tgz#2f6bee24caaea43f8dc37545fa01628559647a83" integrity sha512-j8tPxlqh1srJHAtxfvOUwKNYJkQuBFdM1+JAUfq6xqH5eAqf93L7oG1NVqDa4CpFZNvnNKtCYEUC8KY9yEn9lQ== -d3-interpolate@^3.0.1: +"d3-interpolate@1 - 3", d3-interpolate@^3.0.1: version "3.0.1" resolved "https://registry.yarnpkg.com/d3-interpolate/-/d3-interpolate-3.0.1.tgz#3c47aa5b32c5b3dfb56ef3fd4342078a632b400d" integrity sha512-3bYs1rOD33uo8aqJfKP3JWPAibgw8Zm2+L9vBKEHJ2Rg+viTR7o5Mmv5mZcieN+FRYaAOWX5SJATX6k1PWz72g== @@ -2555,6 +2859,11 @@ d3-quadtree@1: resolved "https://registry.yarnpkg.com/d3-quadtree/-/d3-quadtree-1.0.7.tgz#ca8b84df7bb53763fe3c2f24bd435137f4e53135" integrity sha512-RKPAeXnkC59IDGD0Wu5mANy0Q2V28L+fNe65pOCXVdVuTJS3WPKaJlFHer32Rbh9gIo9qMuJXio8ra4+YmIymA== +"d3-selection@2 - 3", d3-selection@3, d3-selection@^3.0.0: + version "3.0.0" + resolved "https://registry.yarnpkg.com/d3-selection/-/d3-selection-3.0.0.tgz#c25338207efa72cc5b9bd1458a1a41901f1e1b31" + integrity sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ== + d3-shape@^1.2.0: version "1.3.7" resolved "https://registry.yarnpkg.com/d3-shape/-/d3-shape-1.3.7.tgz#df63801be07bc986bc54f63789b4fe502992b5d7" @@ -2579,6 +2888,33 @@ d3-timer@1: resolved "https://registry.yarnpkg.com/d3-timer/-/d3-timer-1.0.10.tgz#dfe76b8a91748831b13b6d9c793ffbd508dd9de5" integrity sha512-B1JDm0XDaQC+uvo4DT79H0XmBskgS3l6Ve+1SBCfxgmtIb1AVrPIoqd+nPSv+loMX8szQ0sVUhGngL7D5QPiXw== +"d3-timer@1 - 3": + version "3.0.1" + resolved "https://registry.yarnpkg.com/d3-timer/-/d3-timer-3.0.1.tgz#6284d2a2708285b1abb7e201eda4380af35e63b0" + integrity sha512-ndfJ/JxxMd3nw31uyKoY2naivF+r29V+Lc0svZxe1JvvIRmi8hUsrMvdOwgS1o6uBHmiz91geQ0ylPP0aj1VUA== + +"d3-transition@2 - 3": + version "3.0.1" + resolved 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"https://registry.yarnpkg.com/reactflow/-/reactflow-11.7.4.tgz#b00159c3471d007bc4865b23005c636b1f08ab26" + integrity sha512-QI6+oc1Ft6oFeLSdHlp+SmgymbI5Tm49wj5JyE84O4A54yN/ImfYaBhLit9Cmfzxn9Tz6tDqmGMGbk4bdtB8/w== + dependencies: + "@reactflow/background" "11.2.4" + "@reactflow/controls" "11.1.15" + "@reactflow/core" "11.7.4" + "@reactflow/minimap" "11.5.4" + "@reactflow/node-resizer" "2.1.1" + "@reactflow/node-toolbar" "1.2.3" + "readable-stream@>=1.0.33-1 <1.1.0-0": version "1.0.34" resolved "https://registry.yarnpkg.com/readable-stream/-/readable-stream-1.0.34.tgz#125820e34bc842d2f2aaafafe4c2916ee32c157c" @@ -6209,7 +6557,7 @@ use-sidecar@^1.1.2: detect-node-es "^1.1.0" tslib "^2.0.0" -use-sync-external-store@^1.0.0: +use-sync-external-store@1.2.0, use-sync-external-store@^1.0.0: version "1.2.0" resolved "https://registry.yarnpkg.com/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz#7dbefd6ef3fe4e767a0cf5d7287aacfb5846928a" integrity 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compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.7" +files = [ + {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"}, + {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"}, +] + +[package.dependencies] +exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +idna = ">=2.8" +sniffio = ">=1.1" + +[package.extras] +doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"] +test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (<0.22)"] + +[[package]] +name = "appnope" +version = "0.1.3" +description = "Disable App Nap on macOS >= 10.9" +optional = false +python-versions = "*" 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useEdgesState(initialEdges); @@ -37,4 +37,4 @@ export default function App() { ); -} \ No newline at end of file +} From 6cb2488de83edf0039d7895cfcc4246afacf1336 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Sat, 15 Jul 2023 13:18:21 -0400 Subject: [PATCH 03/32] test --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index f1c096e03..0899e0cce 100644 --- a/README.md +++ b/README.md @@ -142,3 +142,4 @@ See [Architecture.md](./.github/Architecture.md) Deep Learning Playground is MIT licensed, as found in the [LICENSE](./LICENSE) file. Deep Learning Playground documentation is Creative Commons licensed, as found in the [LICENSE-docs](./.github/LICENSE-docs) file. + From c1240dce4b10c4c80a6e902eb7b55d3c854bfb32 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Sat, 15 Jul 2023 13:44:56 -0400 Subject: [PATCH 04/32] importing uselazy --- .../components/TabularParametersStep.tsx | 64 ++++++++----------- 1 file changed, 28 insertions(+), 36 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index 512dd3f2c..e2236ecf3 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -1,8 +1,29 @@ -import React, { useCallback, useEffect, useMemo, useState } from "react"; -import { useGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; +import ClientOnlyPortal from "@/common/components/ClientOnlyPortal"; import { useAppDispatch, useAppSelector } from "@/common/redux/hooks"; +import { + useCustomKeyboardSensor, + useCustomPointerSensor, +} from "@/common/utils/dndHelpers"; +import { + Active, + DndContext, + DragOverlay, + closestCenter, + useDraggable, + useSensors, +} from "@dnd-kit/core"; +import { + SortableContext, + sortableKeyboardCoordinates, + useSortable, + verticalListSortingStrategy, +} from "@dnd-kit/sortable"; +import { CSS } from "@dnd-kit/utilities"; +import DeleteIcon from "@mui/icons-material/Delete"; +import InfoIcon from "@mui/icons-material/Info"; import { Autocomplete, + Button, Card, Container, Divider, @@ -15,17 +36,16 @@ import { Paper, Radio, RadioGroup, + Skeleton, Slider, Stack, Switch, TextField, Typography, - Skeleton, - Button, } from "@mui/material"; -import { styled } from "@mui/material/styles"; import Tooltip, { tooltipClasses } from "@mui/material/Tooltip"; -import InfoIcon from "@mui/icons-material/Info"; +import { styled } from "@mui/material/styles"; +import React, { useEffect, useMemo, useState } from "react"; import { Control, Controller, @@ -33,41 +53,13 @@ import { useFieldArray, useForm, } from "react-hook-form"; -import { ParameterData, TrainspaceData } from "../types/tabularTypes"; import { STEP_SETTINGS } from "../constants/tabularConstants"; -import { CSS } from "@dnd-kit/utilities"; -import { - SortableContext, - sortableKeyboardCoordinates, - useSortable, - verticalListSortingStrategy, -} from "@dnd-kit/sortable"; -import { - Active, - DndContext, - DragOverlay, - closestCenter, - useDraggable, - useSensors, -} from "@dnd-kit/core"; -import DeleteIcon from "@mui/icons-material/Delete"; -import { - useCustomKeyboardSensor, - useCustomPointerSensor, -} from "@/common/utils/dndHelpers"; -import ClientOnlyPortal from "@/common/components/ClientOnlyPortal"; import { updateTabularTrainspaceData } from "../redux/tabularActions"; -import ReactFlow, { - MiniMap, - Controls, - Background, - useNodesState, - useEdgesState, - addEdge, -} from 'reactflow'; +import { ParameterData, TrainspaceData } from "../types/tabularTypes"; import 'reactflow/dist/style.css'; import TabularDnd from "./TabularDnd"; +import { useLazyGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; const initialNodes = [ { id: '1', position: { x: 0, y: 0 }, data: { label: '1' }, nodesDraggable: true}, From 79420589e47e2423a94402fc32b880953cb70ed1 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Sat, 15 Jul 2023 15:23:28 -0400 Subject: [PATCH 05/32] adding types to nodes --- .../src/common/components/GeneralTooltip.tsx | 36 +++ .../Train/components/CreateTrainspace.tsx | 2 + .../Tabular/components/TabularDnd.tsx | 255 ++++++++++++++++-- .../components/TabularParametersStep.tsx | 41 ++- .../Tabular/constants/tabularConstants.ts | 1 - 5 files changed, 288 insertions(+), 47 deletions(-) create mode 100644 frontend/src/common/components/GeneralTooltip.tsx diff --git a/frontend/src/common/components/GeneralTooltip.tsx b/frontend/src/common/components/GeneralTooltip.tsx new file mode 100644 index 000000000..d577b9ef8 --- /dev/null +++ b/frontend/src/common/components/GeneralTooltip.tsx @@ -0,0 +1,36 @@ +import React from "react"; +import IconButton from "@mui/material/IconButton"; +import Tooltip from "@mui/material/Tooltip"; + +interface MTooltipProps { + el: JSX.Element; + title: string; + isIcon?: boolean; + onClick?: () => void; + className?: string; + disabled?: boolean; +} + +const MTooltip = (props: MTooltipProps) => { + const { el, title, isIcon, onClick, className, disabled } = props; + return ( + + {isIcon ? ( + + + {el} + + + ) : ( + el + )} + + ); +}; + +export default MTooltip; diff --git a/frontend/src/features/Train/components/CreateTrainspace.tsx b/frontend/src/features/Train/components/CreateTrainspace.tsx index f832ee157..31d9b17bc 100644 --- a/frontend/src/features/Train/components/CreateTrainspace.tsx +++ b/frontend/src/features/Train/components/CreateTrainspace.tsx @@ -10,6 +10,7 @@ import { DATA_SOURCE_ARR, } from "../constants/trainConstants"; import { createTrainspaceData } from "../redux/trainspaceSlice"; +import TabularDnd from "../features/Tabular/components/TabularDnd"; const CreateTrainspace = () => { const { handleSubmit, @@ -41,6 +42,7 @@ const CreateTrainspace = () => { justifyContent="center" style={{ minHeight: "100vh" }} > + Create a Trainspace diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 3f77eb5d7..4acae2feb 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -1,4 +1,16 @@ -import React, { useCallback } from 'react'; +import { + Stack, + Paper, + Typography, + Button, + Tooltip, + tooltipClasses, + IconButton, + Card, + TextField, + Divider, +} from "@mui/material"; +import React, { useCallback, useMemo } from "react"; import ReactFlow, { MiniMap, Controls, @@ -6,35 +18,238 @@ import ReactFlow, { useNodesState, useEdgesState, addEdge, -} from 'reactflow'; + BackgroundVariant, + Handle, + Position, + NodeTypes, + Node, + Edge, +} from "reactflow"; +import "reactflow/dist/style.css"; +import { STEP_SETTINGS } from "../constants/tabularConstants"; +import { styled } from "@mui/material/styles"; +import { Controller } from "react-hook-form"; +import DeleteIcon from "@mui/icons-material/Delete"; +import InfoIcon from "@mui/icons-material/Info"; -import 'reactflow/dist/style.css'; +type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; -const initialNodes = [ - { id: '1', position: { x: 0, y: 0 }, data: { label: '1' } }, - { id: '2', position: { x: 0, y: 100 }, data: { label: '2' } }, +interface NodeData { + label: (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"]; + value: ALL_LAYERS; +} + +const initialNodes: Node[] = [ + { + id: `LINEAR-${Math.random() * 100}`, + type: "textUpdater", + position: { x: 0, y: 0 }, + data: { label: "Linear", value: "LINEAR" }, + }, + { + id: `RELU-${Math.random() * 100}`, + type: "input", + position: { x: 0, y: 100 }, + data: { label: "ReLU", value: "RELU" }, + }, ]; -const initialEdges = [{ id: 'e1-2', source: '1', target: '2' }]; +const initialEdges: Edge[] = [{ id: "e1-2", source: "1", target: "2" }]; export default function TabularDnd() { const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); - const onConnect = useCallback((params) => setEdges((eds) => addEdge(params, eds)), [setEdges]); + console.log(nodes); + + const nodeTypes = useMemo(() => ({ textUpdater: TextUpdaterNode }), []); + + return ( + <> + + + + Layers + + + {STEP_SETTINGS.PARAMETERS.layerValues.map((value) => ( + + ))} + + + +
+ setEdges((eds) => addEdge(params, eds))} + nodeTypes={nodeTypes} + > + + + + +
+ + ); +} + +function TextUpdaterNode({ + data, + isConnectable, +}: { + data: NodeData; + isConnectable: boolean; +}) { + const onChange = useCallback((evt) => { + console.log(evt.target.value); + }, []); return ( -
- - - - - +
+ +
+ + + + + {STEP_SETTINGS.PARAMETERS.layers[data.value].label} + + {STEP_SETTINGS.PARAMETERS.layers[data.value].description} + + } + > + Info + + + + {STEP_SETTINGS.PARAMETERS.layers[data.value].label} + + + } + > + {STEP_SETTINGS.PARAMETERS.layers[data.value].parameters.map( + (parameter, index) => ( +
+ {formProps ? ( + ( + + )} + /> + ) : ( + + )} +
+ ) + )} + +
+ + + +
+ + + +
+
); } + +const HtmlTooltip = styled( + ({ + className, + title, + children, + ...props + }: { + className?: string; + children: React.ReactElement; + title: React.ReactNode; + }) => ( + + {children} + + ) +)(({ theme }) => ({ + [`& .${tooltipClasses.tooltip}`]: { + backgroundColor: "rgba(255, 255, 255, 0.95)", + color: "rgba(0, 0, 0, 0.87)", + maxWidth: 220, + fontSize: theme.typography.pxToRem(12), + border: "none", + }, +})); diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index e2236ecf3..066de07c7 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -57,15 +57,25 @@ import { STEP_SETTINGS } from "../constants/tabularConstants"; import { updateTabularTrainspaceData } from "../redux/tabularActions"; import { ParameterData, TrainspaceData } from "../types/tabularTypes"; -import 'reactflow/dist/style.css'; +import "reactflow/dist/style.css"; import TabularDnd from "./TabularDnd"; import { useLazyGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; const initialNodes = [ - { id: '1', position: { x: 0, y: 0 }, data: { label: '1' }, nodesDraggable: true}, - { id: '2', position: { x: 0, y: 100 }, data: { label: '2' }, nodesDraggable: true }, + { + id: "1", + position: { x: 0, y: 0 }, + data: { label: "1" }, + nodesDraggable: true, + }, + { + id: "2", + position: { x: 0, y: 100 }, + data: { label: "2" }, + nodesDraggable: true, + }, ]; -const initialEdges = [{ id: 'e1-2', source: '1', target: '2' }]; +const initialEdges = [{ id: "e1-2", source: "1", target: "2" }]; const HtmlTooltip = styled( ({ @@ -355,8 +365,8 @@ const TabularParametersStep = ({ )} /> - + {renderStepperButtons((trainspaceData) => { handleSubmit((data) => { dispatch( @@ -375,27 +385,6 @@ const TabularParametersStep = ({ ); }; -// const TabularDnd = () => { -// const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); -// const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); -// const onConnect = useCallback((params) => setEdges((eds) => addEdge(params, eds)), [setEdges]); -// return ( -//
-// -// -// -// -// -//
-// ) -// } - const LayersDnd = ({ control, errors, diff --git a/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts b/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts index 21d944e2e..32e771d72 100644 --- a/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts +++ b/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts @@ -61,7 +61,6 @@ export const STEP_SETTINGS = { { label: "Adam Optimization", value: "Adam" }, ], layerValues: ["LINEAR", "RELU", "TANH", "SOFTMAX", "SIGMOID", "LOGSOFTMAX"], - layers: { LINEAR: { label: "Linear", From b51014a382333f05dd8d3b23c9acc35e1870d63b Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Tue, 18 Jul 2023 20:50:16 -0400 Subject: [PATCH 06/32] Generalized html tooltip --- aws_write/poetry.lock | 328 ++++++------- backend/poetry.lock | 450 +++++++++--------- frontend/src/common/components/DlpTooltip.tsx | 61 +++ .../src/common/components/GeneralTooltip.tsx | 36 -- .../src/common/components/HtmlTooltip.tsx | 30 ++ frontend/src/constants.ts | 2 +- .../Tabular/components/TabularDnd.tsx | 88 +--- 7 files changed, 496 insertions(+), 499 deletions(-) create mode 100644 frontend/src/common/components/DlpTooltip.tsx delete mode 100644 frontend/src/common/components/GeneralTooltip.tsx create mode 100644 frontend/src/common/components/HtmlTooltip.tsx diff --git a/aws_write/poetry.lock b/aws_write/poetry.lock index b522508ce..518dab109 100644 --- a/aws_write/poetry.lock +++ b/aws_write/poetry.lock @@ -186,17 +186,17 @@ css = ["tinycss2 (>=1.1.0,<1.2)"] [[package]] name = "boto3" -version = "1.28.3" +version = "1.28.5" description = "The AWS SDK for Python" optional = false python-versions = ">= 3.7" files = [ - {file = "boto3-1.28.3-py3-none-any.whl", hash = "sha256:34f07b3fc2503240c0f58114cf3afea91295c7996d084991b78a278a56157c48"}, - {file = "boto3-1.28.3.tar.gz", hash = "sha256:610369a7f984b58973c097ea649ec81976c04565d39a2d6d3edc280d23b0cb87"}, + 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"cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf (<=3.20.3)", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"] -dev-torch = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.20.2)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.3)", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] -docs = ["Pillow", "accelerate (>=0.20.2)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.6.9)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf (<=3.20.3)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"] +deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"] +dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.4.13)", "jaxlib (>=0.1.65,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.4.13)", "jaxlib (>=0.1.65,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"] docs-specific = ["hf-doc-builder"] fairscale = ["fairscale (>0.3)"] -flax = ["flax (>=0.4.1,<=0.6.9)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8,<=0.1.4)"] +flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.2.8,!=0.3.2,<=0.4.13)", "jaxlib (>=0.1.65,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] integrations = ["optuna", "ray[tune]", "sigopt"] @@ -5168,23 +5168,23 @@ quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", ray = ["ray[tune]"] retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] -sentencepiece = ["protobuf (<=3.20.3)", "sentencepiece (>=0.1.91,!=0.1.92)"] -serving = ["fastapi", "pydantic", "starlette", "uvicorn"] +sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] +serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf (<=3.20.3)", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"] -tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"] -tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"] +tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"] +tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm"] tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"] -torch = ["accelerate (>=0.20.2)", "torch (>=1.9,!=1.12.0)"] +torch = ["accelerate (>=0.20.3)", "torch (>=1.9,!=1.12.0)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -torch-vision = ["Pillow", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.14.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.3)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"] +torch-vision = ["Pillow (<10.0.0)", "torchvision"] +torchhub = ["filelock", "huggingface-hub (>=0.14.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] -vision = ["Pillow"] +vision = ["Pillow (<10.0.0)"] [[package]] name = "typer" diff --git a/frontend/src/common/components/DlpTooltip.tsx b/frontend/src/common/components/DlpTooltip.tsx new file mode 100644 index 000000000..73e22914c --- /dev/null +++ b/frontend/src/common/components/DlpTooltip.tsx @@ -0,0 +1,61 @@ +import React from "react"; +import IconButton from "@mui/material/IconButton"; +import Tooltip, { tooltipClasses } from "@mui/material/Tooltip"; +import { styled } from "@mui/material/styles"; + +interface DlpTooltipProps { + children: React.ReactNode; + title: React.ReactNode; + isIcon?: boolean; + onClick?: () => void; + className?: string; + disabled?: boolean; +} + +const DlpTooltip = (props: DlpTooltipProps) => { + const { children, title, isIcon, onClick, className, disabled } = props; + + if (isIcon) { + return ( + + + + {children} + + + + ); + } + + return styled( + ({ + className, + title, + children, + ...props + }: { + className?: string; + children: React.ReactElement; + title: React.ReactNode; + }) => ( + + {children} + + ) + )(({ theme }) => ({ + [`& .${tooltipClasses.tooltip}`]: { + backgroundColor: "rgba(255, 255, 255, 0.95)", + color: "rgba(0, 0, 0, 0.87)", + maxWidth: 220, + fontSize: theme.typography.pxToRem(12), + border: "none", + }, + })); +}; + +export default DlpTooltip; diff --git a/frontend/src/common/components/GeneralTooltip.tsx b/frontend/src/common/components/GeneralTooltip.tsx deleted file mode 100644 index d577b9ef8..000000000 --- a/frontend/src/common/components/GeneralTooltip.tsx +++ /dev/null @@ -1,36 +0,0 @@ -import React from "react"; -import IconButton from "@mui/material/IconButton"; -import Tooltip from "@mui/material/Tooltip"; - -interface MTooltipProps { - el: JSX.Element; - title: string; - isIcon?: boolean; - onClick?: () => void; - className?: string; - disabled?: boolean; -} - -const MTooltip = (props: MTooltipProps) => { - const { el, title, isIcon, onClick, className, disabled } = props; - return ( - - {isIcon ? ( - - - {el} - - - ) : ( - el - )} - - ); -}; - -export default MTooltip; diff --git a/frontend/src/common/components/HtmlTooltip.tsx b/frontend/src/common/components/HtmlTooltip.tsx new file mode 100644 index 000000000..4aa66cae9 --- /dev/null +++ b/frontend/src/common/components/HtmlTooltip.tsx @@ -0,0 +1,30 @@ +import { tooltipClasses, Tooltip } from "@mui/material"; +import { styled } from "@mui/material/styles"; +import React from "react"; + +const HtmlTooltip = styled( + ({ + className, + title, + children, + ...props + }: { + className?: string; + children: React.ReactElement; + title: React.ReactNode; + }) => ( + + {children} + + ) +)(({ theme }) => ({ + [`& .${tooltipClasses.tooltip}`]: { + backgroundColor: "rgba(255, 255, 255, 0.95)", + color: "rgba(0, 0, 0, 0.87)", + maxWidth: 220, + fontSize: theme.typography.pxToRem(12), + border: "none", + }, +})); + +export default HtmlTooltip; diff --git a/frontend/src/constants.ts b/frontend/src/constants.ts index 6701ffe5f..5f44e08d4 100644 --- a/frontend/src/constants.ts +++ b/frontend/src/constants.ts @@ -8,7 +8,7 @@ export const COLORS = Object.freeze({ gold: "#B3A36A", // secondary visited: "#808080", }); - +`` export const URLs = Object.freeze({ donate: "https://buy.stripe.com/9AQ3e4eO81X57y8aEG", linkedin: "https://www.linkedin.com/company/dsgt/", diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 4acae2feb..6861a6afd 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -31,6 +31,7 @@ import { styled } from "@mui/material/styles"; import { Controller } from "react-hook-form"; import DeleteIcon from "@mui/icons-material/Delete"; import InfoIcon from "@mui/icons-material/Info"; +import HtmlTooltip from "@/common/components/HtmlTooltip"; type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; @@ -85,7 +86,10 @@ export default function TabularDnd() { x: Math.random() * 50, y: Math.random() * 50, }, - data: { label: value, value: value }, + data: { + label: STEP_SETTINGS.PARAMETERS.layers[value].label, + value: value, + }, }, ]) } @@ -121,27 +125,15 @@ function TextUpdaterNode({ data: NodeData; isConnectable: boolean; }) { - const onChange = useCallback((evt) => { - console.log(evt.target.value); - }, []); - return ( -
+ <>
- + (
- {formProps ? ( - ( - - )} - /> - ) : ( - - )} +
) )}
- +
@@ -225,31 +192,6 @@ function TextUpdaterNode({ id="b" isConnectable={isConnectable} /> -
+ ); } - -const HtmlTooltip = styled( - ({ - className, - title, - children, - ...props - }: { - className?: string; - children: React.ReactElement; - title: React.ReactNode; - }) => ( - - {children} - - ) -)(({ theme }) => ({ - [`& .${tooltipClasses.tooltip}`]: { - backgroundColor: "rgba(255, 255, 255, 0.95)", - color: "rgba(0, 0, 0, 0.87)", - maxWidth: 220, - fontSize: theme.typography.pxToRem(12), - border: "none", - }, -})); From c676bbed6d5638ba88356f52b1bd2f7a0edd3d79 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Tue, 18 Jul 2023 21:17:04 -0400 Subject: [PATCH 07/32] got dnd with start --- .../Tabular/components/TabularDnd.tsx | 78 +++++++++---------- .../components/TabularParametersStep.tsx | 28 +------ 2 files changed, 38 insertions(+), 68 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 6861a6afd..e88e6037c 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -1,55 +1,52 @@ +import HtmlTooltip from "@/common/components/HtmlTooltip"; +import DeleteIcon from "@mui/icons-material/Delete"; +import InfoIcon from "@mui/icons-material/Info"; import { - Stack, - Paper, - Typography, Button, - Tooltip, - tooltipClasses, - IconButton, Card, - TextField, Divider, + IconButton, + Paper, + Stack, + TextField, + Typography, } from "@mui/material"; -import React, { useCallback, useMemo } from "react"; +import React, { useMemo } from "react"; import ReactFlow, { - MiniMap, - Controls, Background, - useNodesState, - useEdgesState, - addEdge, BackgroundVariant, + Controls, + Edge, Handle, - Position, - NodeTypes, + MiniMap, Node, - Edge, + Position, + addEdge, + useEdgesState, + useNodesState, } from "reactflow"; import "reactflow/dist/style.css"; import { STEP_SETTINGS } from "../constants/tabularConstants"; -import { styled } from "@mui/material/styles"; -import { Controller } from "react-hook-form"; -import DeleteIcon from "@mui/icons-material/Delete"; -import InfoIcon from "@mui/icons-material/Info"; -import HtmlTooltip from "@/common/components/HtmlTooltip"; type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; interface NodeData { - label: (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"]; - value: ALL_LAYERS; + label: + | (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"] + | "Start"; + value: ALL_LAYERS | "root"; } const initialNodes: Node[] = [ { - id: `LINEAR-${Math.random() * 100}`, - type: "textUpdater", + id: `root`, + type: "input", position: { x: 0, y: 0 }, - data: { label: "Linear", value: "LINEAR" }, + data: { label: "Start", value: "root" }, }, { id: `RELU-${Math.random() * 100}`, - type: "input", + type: "textUpdater", position: { x: 0, y: 100 }, data: { label: "ReLU", value: "RELU" }, }, @@ -60,8 +57,6 @@ export default function TabularDnd() { const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); - console.log(nodes); - const nodeTypes = useMemo(() => ({ textUpdater: TextUpdaterNode }), []); return ( @@ -82,6 +77,7 @@ export default function TabularDnd() { ...cur, { id: `${value}-${Math.random() * 100}`, + type: "textUpdater", position: { x: Math.random() * 50, y: Math.random() * 50, @@ -122,7 +118,10 @@ function TextUpdaterNode({ data, isConnectable, }: { - data: NodeData; + data: { + label: (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"]; + value: ALL_LAYERS; + }; isConnectable: boolean; }) { return ( @@ -135,9 +134,9 @@ function TextUpdaterNode({
{STEP_SETTINGS.PARAMETERS.layers[data.value].label} - + } > @@ -177,11 +176,6 @@ function TextUpdaterNode({ ) )} -
- - - -
diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index 066de07c7..a73153802 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -60,6 +60,7 @@ import { ParameterData, TrainspaceData } from "../types/tabularTypes"; import "reactflow/dist/style.css"; import TabularDnd from "./TabularDnd"; import { useLazyGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; +import HtmlTooltip from "@/common/components/HtmlTooltip"; const initialNodes = [ { @@ -77,31 +78,6 @@ const initialNodes = [ ]; const initialEdges = [{ id: "e1-2", source: "1", target: "2" }]; -const HtmlTooltip = styled( - ({ - className, - title, - children, - ...props - }: { - className?: string; - children: React.ReactElement; - title: React.ReactNode; - }) => ( - - {children} - - ) -)(({ theme }) => ({ - [`& .${tooltipClasses.tooltip}`]: { - backgroundColor: "rgba(255, 255, 255, 0.95)", - color: "rgba(0, 0, 0, 0.87)", - maxWidth: 220, - fontSize: theme.typography.pxToRem(12), - border: "none", - }, -})); - const TabularParametersStep = ({ renderStepperButtons, setIsModified, @@ -632,7 +608,7 @@ const LayerComponent = ({ } > - Info + From 3d60d8a852847e813ddef071ee43a04a0fa6f1ee Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Tue, 18 Jul 2023 21:49:30 -0400 Subject: [PATCH 08/32] adding params to nodes --- .../Tabular/components/TabularDnd.tsx | 49 +++++++++++++------ .../components/TabularParametersStep.tsx | 20 ++------ 2 files changed, 38 insertions(+), 31 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index e88e6037c..868fae506 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -11,7 +11,7 @@ import { TextField, Typography, } from "@mui/material"; -import React, { useMemo } from "react"; +import React, { useCallback, useMemo } from "react"; import ReactFlow, { Background, BackgroundVariant, @@ -35,6 +35,7 @@ interface NodeData { | (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"] | "Start"; value: ALL_LAYERS | "root"; + parameters?: number[]; } const initialNodes: Node[] = [ @@ -52,12 +53,28 @@ const initialNodes: Node[] = [ }, ]; const initialEdges: Edge[] = [{ id: "e1-2", source: "1", target: "2" }]; +const nodeTypes = { textUpdater: TextUpdaterNode }; export default function TabularDnd() { const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); - const nodeTypes = useMemo(() => ({ textUpdater: TextUpdaterNode }), []); + console.log(43, nodes); + + const onChange = useCallback( + (args: { id: string; newValue: number; parameterIndex: number }) => { + setNodes((nds) => + nds.map((node) => { + if (node.id !== args.id) return node; + if (!node.data.parameters) return node; + + node.data.parameters[args.parameterIndex] = args.newValue; + return node; + }) + ); + }, + [] + ); return ( <> @@ -85,6 +102,7 @@ export default function TabularDnd() { data: { label: STEP_SETTINGS.PARAMETERS.layers[value].label, value: value, + onChange: onChange, }, }, ]) @@ -114,16 +132,17 @@ export default function TabularDnd() { ); } -function TextUpdaterNode({ - data, - isConnectable, -}: { +interface TextUpdaterNodeProps { data: { label: (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"]; value: ALL_LAYERS; + onChange: (e: unknown) => void; }; isConnectable: boolean; -}) { +} + +function TextUpdaterNode(props: TextUpdaterNodeProps) { + const { data, isConnectable } = props; return ( <> {STEP_SETTINGS.PARAMETERS.layers[data.value].parameters.map( (parameter, index) => ( -
- -
+ ) )} diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index a73153802..84f4b74a5 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -120,22 +120,10 @@ const TabularParametersStep = ({ batchSize: trainspace?.parameterData?.batchSize ?? 20, testSize: trainspace?.parameterData?.testSize ?? 0.2, layers: trainspace?.parameterData?.layers ?? [ - { - value: "LINEAR", - parameters: [10, 3], - }, - { - value: "RELU", - parameters: [], - }, - { - value: "LINEAR", - parameters: [3, 10], - }, - { - value: "SOFTMAX", - parameters: [-1], - }, + { value: "LINEAR", parameters: [10, 3] }, + { value: "RELU", parameters: [] }, + { value: "LINEAR", parameters: [3, 10] }, + { value: "SOFTMAX", parameters: [-1] }, ], }, }); From f6f2f731f6b994cbb4f4eccb4a31fd9b831005a1 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Tue, 18 Jul 2023 22:00:03 -0400 Subject: [PATCH 09/32] adding params to nodes --- .../Tabular/components/TabularDnd.tsx | 68 ++++++++++--------- 1 file changed, 36 insertions(+), 32 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 868fae506..b9f8e1281 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -30,12 +30,19 @@ import { STEP_SETTINGS } from "../constants/tabularConstants"; type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; +interface OnChangeArgs { + id: string; + newValue: number; + parameterIndex: number; +} + interface NodeData { label: | (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"] | "Start"; value: ALL_LAYERS | "root"; parameters?: number[]; + onChange: (args: OnChangeArgs) => void; } const initialNodes: Node[] = [ @@ -59,22 +66,19 @@ export default function TabularDnd() { const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); - console.log(43, nodes); + console.log(nodes); - const onChange = useCallback( - (args: { id: string; newValue: number; parameterIndex: number }) => { - setNodes((nds) => - nds.map((node) => { - if (node.id !== args.id) return node; - if (!node.data.parameters) return node; + const onChange = useCallback((args: OnChangeArgs) => { + setNodes((nds) => + nds.map((node) => { + if (node.id !== args.id) return node; + if (!node.data.parameters) return node; - node.data.parameters[args.parameterIndex] = args.newValue; - return node; - }) - ); - }, - [] - ); + node.data.parameters[args.parameterIndex] = args.newValue; + return node; + }) + ); + }, []); return ( <> @@ -103,6 +107,9 @@ export default function TabularDnd() { label: STEP_SETTINGS.PARAMETERS.layers[value].label, value: value, onChange: onChange, + parameters: STEP_SETTINGS.PARAMETERS.layers[ + value + ].parameters.map(() => 0), }, }, ]) @@ -133,16 +140,14 @@ export default function TabularDnd() { } interface TextUpdaterNodeProps { - data: { - label: (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"]; - value: ALL_LAYERS; - onChange: (e: unknown) => void; - }; + data: NodeData; isConnectable: boolean; } function TextUpdaterNode(props: TextUpdaterNodeProps) { const { data, isConnectable } = props; + const layer = STEP_SETTINGS.PARAMETERS.layers[data.value as ALL_LAYERS]; + return ( <> - {STEP_SETTINGS.PARAMETERS.layers[data.value].label} + {layer.label} } > - {STEP_SETTINGS.PARAMETERS.layers[data.value].parameters.map( - (parameter, index) => ( - - ) - )} + {layer.parameters.map((parameter, index) => ( + + ))} From 69c6897db15116dc0851e435167b8f02bf0742f1 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Sat, 22 Jul 2023 14:02:55 -0400 Subject: [PATCH 10/32] parameter updating in data --- .pre-commit-config.yaml | 8 +- backend/poetry.lock | 484 ++++++++++-------- .../Tabular/components/TabularDnd.tsx | 39 +- 3 files changed, 299 insertions(+), 232 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index a04703d54..d798e8e84 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -5,14 +5,14 @@ repos: - id: poetry-check entry: sh -c 'cd backend && poetry check' - - id: poetry-lock - entry: sh -c 'cd backend && poetry lock' + # - id: poetry-lock + # entry: sh -c 'cd backend && poetry lock' - id: poetry-check entry: sh -c 'cd aws_write && poetry check' - - id: poetry-lock - entry: sh -c 'cd aws_write && poetry lock' + # - id: poetry-lock + # entry: sh -c 'cd aws_write && poetry lock' - repo: https://github.com/gitguardian/ggshield rev: v1.14.2 diff --git a/backend/poetry.lock b/backend/poetry.lock index 2aedd072e..d54c6c568 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -119,6 +119,20 @@ six = "*" [package.extras] test = ["astroid", "pytest"] +[[package]] +name = "async-lru" +version = "2.0.3" +description = "Simple LRU cache for asyncio" +optional = false +python-versions = ">=3.8" +files = [ + {file = "async-lru-2.0.3.tar.gz", hash = "sha256:b714c9d1415fca4e264da72a9e2abc66880ce7430e03a973341f88ea4c0d4869"}, + {file = "async_lru-2.0.3-py3-none-any.whl", hash = "sha256:00c0a8899c20b9c88663a47732689ff98189c9fa08ad9f734d7722f934d250b1"}, +] + +[package.dependencies] +typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} + [[package]] name = "attrs" version = "23.1.0" @@ -137,6 +151,17 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib- tests = ["attrs[tests-no-zope]", "zope-interface"] tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +[[package]] +name = "babel" +version = "2.12.1" +description = "Internationalization utilities" +optional = false +python-versions = ">=3.7" +files = [ + {file = "Babel-2.12.1-py3-none-any.whl", hash = "sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610"}, + {file = "Babel-2.12.1.tar.gz", hash = "sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455"}, +] + [[package]] name = "backcall" version = "0.2.0" @@ -259,57 +284,57 @@ files = [ [[package]] name = "blis" -version = "0.7.9" +version = "0.7.10" 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[[package]] name = "types-pyyaml" -version = "6.0.12.10" +version = "6.0.12.11" description = "Typing stubs for PyYAML" optional = false python-versions = "*" files = [ - {file = "types-PyYAML-6.0.12.10.tar.gz", hash = "sha256:ebab3d0700b946553724ae6ca636ea932c1b0868701d4af121630e78d695fc97"}, - {file = "types_PyYAML-6.0.12.10-py3-none-any.whl", hash = "sha256:662fa444963eff9b68120d70cda1af5a5f2aa57900003c2006d7626450eaae5f"}, + {file = "types-PyYAML-6.0.12.11.tar.gz", hash = "sha256:7d340b19ca28cddfdba438ee638cd4084bde213e501a3978738543e27094775b"}, + {file = "types_PyYAML-6.0.12.11-py3-none-any.whl", hash = "sha256:a461508f3096d1d5810ec5ab95d7eeecb651f3a15b71959999988942063bf01d"}, ] [[package]] @@ -5262,13 +5328,13 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] [[package]] name = "virtualenv" -version = "20.24.0" +version = "20.24.1" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.7" files = [ - {file = "virtualenv-20.24.0-py3-none-any.whl", hash = "sha256:18d1b37fc75cc2670625702d76849a91ebd383768b4e91382a8d51be3246049e"}, - 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data: { label: "Start", value: "root" }, - }, - { - id: `RELU-${Math.random() * 100}`, - type: "textUpdater", - position: { x: 0, y: 100 }, - data: { label: "ReLU", value: "RELU" }, + data: { + label: "Start", + value: "root", + parameters: [], + onChange: () => undefined, + }, }, ]; const initialEdges: Edge[] = [{ id: "e1-2", source: "1", target: "2" }]; -const nodeTypes = { textUpdater: TextUpdaterNode }; +const nodeTypes: NodeTypes = { textUpdater: TextUpdaterNode }; export default function TabularDnd() { const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); - console.log(nodes); - const onChange = useCallback((args: OnChangeArgs) => { setNodes((nds) => nds.map((node) => { @@ -140,12 +136,13 @@ export default function TabularDnd() { } interface TextUpdaterNodeProps { + id: string; data: NodeData; isConnectable: boolean; } function TextUpdaterNode(props: TextUpdaterNodeProps) { - const { data, isConnectable } = props; + const { data, isConnectable, id } = props; const layer = STEP_SETTINGS.PARAMETERS.layers[data.value as ALL_LAYERS]; return ( @@ -166,10 +163,8 @@ function TextUpdaterNode(props: TextUpdaterNodeProps) { - - {STEP_SETTINGS.PARAMETERS.layers[data.value].label} - - {STEP_SETTINGS.PARAMETERS.layers[data.value].description} + {layer.label} + {layer.description} } > @@ -189,7 +184,13 @@ function TextUpdaterNode(props: TextUpdaterNodeProps) { > {layer.parameters.map((parameter, index) => ( + data.onChange({ + id: id, + newValue: Number(e.target.value), + parameterIndex: index, + }) + } key={index} label={parameter.label} defaultValue={data.parameters?.[index]} From 53a3f4176605549e82825db885232496d3fe3c77 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Sat, 22 Jul 2023 14:10:05 -0400 Subject: [PATCH 11/32] wrapping of layers --- aws_write/poetry.lock | 385 +++++++++++++----- .../Tabular/components/TabularDnd.tsx | 2 +- 2 files changed, 286 insertions(+), 101 deletions(-) diff --git a/aws_write/poetry.lock b/aws_write/poetry.lock index 518dab109..4f0ed7ffc 100644 --- a/aws_write/poetry.lock +++ b/aws_write/poetry.lock @@ -119,6 +119,20 @@ six = "*" [package.extras] test = ["astroid", "pytest"] +[[package]] +name = "async-lru" +version = "2.0.3" +description = "Simple LRU cache for asyncio" +optional = false +python-versions = ">=3.8" +files = [ + {file = "async-lru-2.0.3.tar.gz", hash = "sha256:b714c9d1415fca4e264da72a9e2abc66880ce7430e03a973341f88ea4c0d4869"}, + {file = "async_lru-2.0.3-py3-none-any.whl", hash = "sha256:00c0a8899c20b9c88663a47732689ff98189c9fa08ad9f734d7722f934d250b1"}, +] + +[package.dependencies] +typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} + [[package]] name = "attrs" version = "23.1.0" @@ -137,6 +151,17 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib- tests = ["attrs[tests-no-zope]", "zope-interface"] tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +[[package]] +name = "babel" +version = "2.12.1" +description = "Internationalization utilities" +optional = false +python-versions = ">=3.7" +files = [ + {file = "Babel-2.12.1-py3-none-any.whl", hash = "sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610"}, + {file = "Babel-2.12.1.tar.gz", hash = "sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455"}, +] + [[package]] name = "backcall" version = "0.2.0" @@ -186,41 +211,46 @@ css = ["tinycss2 (>=1.1.0,<1.2)"] [[package]] name = "boto3" -version = "1.28.5" +version = "1.7.84" description = "The AWS SDK for Python" optional = false -python-versions = ">= 3.7" +python-versions = "*" files = [ - 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"sphinx-copybutton"] +docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"] +test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] + [[package]] name = "jupyterlab-pygments" version = "0.2.2" @@ -944,6 +1130,32 @@ files = [ {file = "jupyterlab_pygments-0.2.2.tar.gz", hash = "sha256:7405d7fde60819d905a9fa8ce89e4cd830e318cdad22a0030f7a901da705585d"}, ] +[[package]] +name = "jupyterlab-server" +version = "2.23.0" +description = "A set of server components for JupyterLab and JupyterLab like applications." +optional = false +python-versions = ">=3.7" +files = [ + {file = 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"sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"] + [[package]] name = "jupyterlab-widgets" version = "3.0.8" @@ -1050,41 +1262,6 @@ files = [ {file = "mistune-3.0.1.tar.gz", hash = "sha256:e912116c13aa0944f9dc530db38eb88f6a77087ab128f49f84a48f4c05ea163c"}, ] -[[package]] -name = "nbclassic" -version = "1.0.0" -description = "Jupyter Notebook as a Jupyter Server extension." -optional = false -python-versions = ">=3.7" -files = [ - {file = "nbclassic-1.0.0-py3-none-any.whl", hash = "sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66"}, - {file = "nbclassic-1.0.0.tar.gz", hash = "sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3"}, -] - -[package.dependencies] -argon2-cffi = "*" -ipykernel = "*" -ipython-genutils = "*" -jinja2 = "*" -jupyter-client = ">=6.1.1" -jupyter-core = ">=4.6.1" -jupyter-server = ">=1.8" -nbconvert = ">=5" -nbformat = "*" -nest-asyncio = ">=1.5" -notebook-shim = ">=0.2.3" -prometheus-client = "*" -pyzmq = ">=17" 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[[package]] name = "rfc3339-validator" version = "0.1.4" @@ -1870,20 +2057,17 @@ files = [ [[package]] name = "s3transfer" -version = "0.6.1" +version = "0.1.13" description = "An Amazon S3 Transfer Manager" optional = false -python-versions = ">= 3.7" +python-versions = "*" files = [ - {file = "s3transfer-0.6.1-py3-none-any.whl", hash = "sha256:3c0da2d074bf35d6870ef157158641178a4204a6e689e82546083e31e0311346"}, - {file = "s3transfer-0.6.1.tar.gz", hash = "sha256:640bb492711f4c0c0905e1f62b6aaeb771881935ad27884852411f8e9cacbca9"}, + {file = "s3transfer-0.1.13-py2.py3-none-any.whl", hash = "sha256:c7a9ec356982d5e9ab2d4b46391a7d6a950e2b04c472419f5fdec70cc0ada72f"}, + {file = "s3transfer-0.1.13.tar.gz", hash = "sha256:90dc18e028989c609146e241ea153250be451e05ecc0c2832565231dacdf59c1"}, ] [package.dependencies] -botocore = ">=1.12.36,<2.0a.0" - -[package.extras] -crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"] +botocore = ">=1.3.0,<2.0.0" [[package]] name = "send2trash" @@ -2064,19 +2248,20 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake [[package]] name = "urllib3" -version = "1.26.16" +version = "2.0.4" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" +python-versions = ">=3.7" files = [ - {file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"}, - {file = "urllib3-1.26.16.tar.gz", hash = "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"}, + {file = "urllib3-2.0.4-py3-none-any.whl", hash = "sha256:de7df1803967d2c2a98e4b11bb7d6bd9210474c46e8a0401514e3a42a75ebde4"}, + {file = "urllib3-2.0.4.tar.gz", hash = "sha256:8d22f86aae8ef5e410d4f539fde9ce6b2113a001bb4d189e0aed70642d602b11"}, ] [package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] -secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] -socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] [[package]] name = "wcwidth" diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 94de92bbe..9b1e53c31 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -83,7 +83,7 @@ export default function TabularDnd() { Layers - + {STEP_SETTINGS.PARAMETERS.layerValues.map((value) => ( ) : null} + {isButtonClicked ? + : + } + { + isButtonClicked ? : null + } )} setIsModified={setIsStepModified} diff --git a/frontend/src/features/Train/features/Tabular/components/TabularTrainspace.tsx b/frontend/src/features/Train/features/Tabular/components/TabularTrainspace.tsx index 5b9be6b30..5c63a1570 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularTrainspace.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularTrainspace.tsx @@ -10,6 +10,7 @@ import { StepButton, Stepper, TextField, + CircularProgress, } from "@mui/material"; import { TRAINSPACE_SETTINGS, @@ -91,9 +92,22 @@ const TrainspaceStepInner = ({ }) => { const Component = STEP_SETTINGS[TRAINSPACE_SETTINGS.steps[step]].component; const [isStepModified, setIsStepModified] = useState(false); + const [isButtonClicked, setIsButtonClicked] = useState(false); const [train] = useTrainTabularMutation(); const dispatch = useAppDispatch(); const router = useRouter(); + + let trainbuttontext: string | JSX.Element; + if (isButtonClicked) { + trainbuttontext = ; + } else { + if (step < TRAINSPACE_SETTINGS.steps.length - 1) { + trainbuttontext = "Next"; + } else { + trainbuttontext = "Train"; + } + } + useEffect(() => { if (trainspace.step < TRAINSPACE_SETTINGS.steps.length) setStep(trainspace.step); @@ -120,22 +134,40 @@ const TrainspaceStepInner = ({ Previous ) : null} - + > + {trainbuttontext} + + ) : ( + + )} )} setIsModified={setIsStepModified} diff --git a/frontend/src/settings.tsx b/frontend/src/settings.tsx deleted file mode 100644 index 9c1cc4040..000000000 --- a/frontend/src/settings.tsx +++ /dev/null @@ -1,1290 +0,0 @@ -import React from "react"; - -type LTypes = "number" | "text" | "tuple" | "boolean"; -export interface LayerParameter { - index: number; - parameter_name: string; - min: T extends "number" | "tuple" ? number : null; - max: T extends "number" | "tuple" ? number : null; - parameter_type: T; - default?: T extends "number" ? number : string; - kwarg?: string; - value?: T extends "number" ? number : string; -} - -export interface ModelLayer { - display_name: string; - object_name: string; - parameters: { [key: string]: LayerParameter }; - tooltip_info?: JSX.Element; - transform_type?: string; -} - -export const POSSIBLE_LAYERS: ModelLayer[] = [ - { - display_name: "Linear", - object_name: "nn.Linear", - parameters: { - inputSize: { - index: 0, - parameter_name: "Input size", - min: 1, - max: 1600, - parameter_type: "number", - } as LayerParameter<"number">, - outputSize: { - index: 1, - parameter_name: "Output size", - min: 1, - max: 1600, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Applies a linear transformation to the incoming data:{" "} - - y = xA - T + b - - . - -

-

- Parameters -

-
    -
  • - in_features - size of each input sample -
    • -
  • - out_features - size of each output sample -
    • -
- - - More info - - - ), - }, - { - display_name: "ReLU", - object_name: "nn.ReLU", - parameters: {}, - tooltip_info: ( - <> -

- - Applies the rectified linear unit function element-wise: ReLU - - (x) = (x)+ ={" "} - - max(0, x). - -

-

- Parameters -

-

- None -

- - More info - - - ), - }, - { - display_name: "Softmax", - object_name: "nn.Softmax", - parameters: { - inputSize: { - index: 0, - parameter_name: "dim", - min: -3, - max: 2, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Applies the Softmax function to an n-dimensional input Tensor - rescaling them so that the elements of the n-dimensional - output Tensor lie in the range [0,1] and sum to 1. - -

-

- Parameters -

-
    -
  • - dim (int) - A dimension along which Softmax will be - computed (so every slice along dim will sum to 1). -
    • -
- - More info - - - ), - }, - { - display_name: "Sigmoid", - object_name: "nn.Sigmoid", - parameters: {}, - tooltip_info: ( - <> -

- Applies the Sigmoid function. -

-

- Parameters -

-

- None -

- - More info - - - ), - }, - { - display_name: "Tanh", - object_name: "nn.Tanh", - parameters: {}, - tooltip_info: ( - <> -

- - Applies the Hyperbolic Tangent (Tanh) function element-wise. - -

-

- Parameters -

-

- None -

- - More info - - - ), - }, - { - display_name: "LogSoftmax", - object_name: "nn.LogSoftmax", - parameters: { - inputSize: { - index: 0, - parameter_name: "dim", - min: -3, - max: 2, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Applies the log(Softmax(x)) function to an n - -dimensional input Tensor. - -

-

- Parameters -

-
    -
  • - dim (int) - A dimension along which LogSoftmax will be - computed. -
    • -
- - More info - - - ), - }, -]; - -export const ML_MODELS: ModelLayer[] = [ - { - display_name: "Gaussian Naive Bayes", - object_name: "sklearn.naive_bayes.GaussianNB", - parameters: {}, - }, - { - display_name: "RF Classifier", - object_name: "sklearn.ensemble.RandomForestClassifier", - parameters: { - n_estimators: { - index: 0, - parameter_name: "Number of Estimators", - kwarg: "n_estimators = ", - default: 100, - min: 1, - max: 200, - parameter_type: "number", - } as LayerParameter<"number">, - max_depth: { - index: 1, - parameter_name: "Max Depth", - kwarg: "max_depth = ", - default: 5, - min: 1, - max: 100, - parameter_type: "number", - } as LayerParameter<"number">, - min_samples_split: { - index: 2, - parameter_name: "Minimum Samples Split", - kwarg: "min_samples_split = ", - default: 2, - min: 1, - max: 10, - parameter_type: "number", - } as LayerParameter<"number">, - max_features: { - index: 3, - parameter_name: "Max Features", - kwarg: "max_features = ", - default: "sqrt", - } as LayerParameter<"text">, - }, - }, - { - display_name: "RF Regressor", - object_name: "sklearn.ensemble.RandomForestRegressor", - parameters: { - n_estimators: { - index: 0, - parameter_name: "Number of Estimators", - kwarg: "n_estimators = ", - default: 100, - min: 1, - max: 200, - parameter_type: "number", - } as LayerParameter<"number">, - max_depth: { - index: 1, - parameter_name: "Max Depth", - kwarg: "max_depth = ", - default: 5, - min: 1, - max: 5, - parameter_type: "number", - } as LayerParameter<"number">, - min_samples_split: { - index: 2, - parameter_name: "Minimum Samples Split", - kwarg: "min_samples_split = ", - default: 2, - min: 2, - max: 10, - parameter_type: "number", - } as LayerParameter<"number">, - max_features: { - index: 3, - parameter_name: "Max Features", - kwarg: "max_features = ", - default: "sqrt", - parameter_type: "text", - } as LayerParameter<"text">, - }, - }, - { - display_name: "Logistic Regression", - object_name: "sklearn.linear_model.LogisticRegression", - parameters: { - fit_intercept: { - index: 0, - parameter_name: "Intercept", - kwarg: "fit_intercept = ", - default: 1, - min: 0, - max: 1, - parameter_type: "number", - } as LayerParameter<"number">, - C: { - index: 1, - parameter_name: "Regularization Strength (C)", - kwarg: "C = ", - default: 1, - min: 0, - max: 10, - parameter_type: "number", - } as LayerParameter<"number">, - penslty: { - index: 2, - parameter_name: "Penalty", - default: "l2", - kwarg: "penalty = ", - parameter_type: "text", - } as LayerParameter<"text">, - }, - }, - { - display_name: "Linear Regression", - object_name: "sklearn.linear_model.LinearRegression", - parameters: { - fit_intercept: { - index: 0, - parameter_name: "Intercept", - kwarg: "fit_intercept = ", - min: 0, - max: 1, - parameter_type: "number", - } as LayerParameter<"number">, - }, - }, - { - display_name: "Decision Tree Classifier", - object_name: "sklearn.tree.DecisionTreeClassifier", - parameters: { - max_depth: { - index: 0, - parameter_name: "Max Depth", - kwarg: "max_depth = ", - default: 5, - min: 1, - max: 100, - parameter_type: "number", - } as LayerParameter<"number">, - min_samples_split: { - index: 1, - parameter_name: "Minimum Sample Splits", - kwarg: "min_samples_split = ", - default: 2, - min: 2, - max: 10, - parameter_type: "number", - } as LayerParameter<"number">, - max_features: { - index: 2, - parameter_name: "Max Features", - kwarg: "max_features = ", - default: "sqrt", - parameter_type: "text", - } as LayerParameter<"text">, - }, - }, - { - display_name: "Decision Tree Regressor", - object_name: "sklearn.tree.DecisionTreeRegressor", - parameters: { - max_depth: { - index: 0, - parameter_name: "Max Depth", - kwarg: "max_depth = ", - default: 5, - min: 1, - max: 5, - parameter_type: "number", - } as LayerParameter<"number">, - min_samples_split: { - index: 1, - parameter_name: "Minimum Sample Splits", - kwarg: "min_samples_split = ", - default: 2, - min: 1, - max: 10, - parameter_type: "number", - } as LayerParameter<"number">, - max_features: { - index: 2, - parameter_name: "Max Features", - kwarg: "max_features = ", - default: "sqrt", - parameter_type: "text", - } as LayerParameter<"text">, - }, - }, -]; - -export const IMAGE_LAYERS: ModelLayer[] = [ - { - display_name: "Conv2D", - object_name: "nn.Conv2d", - parameters: { - in_channels: { - index: 0, - parameter_name: "in channels", - min: 1, - max: 16, - parameter_type: "number", - } as LayerParameter<"number">, - out_channels: { - index: 1, - parameter_name: "out channels", - min: 1, - max: 16, - parameter_type: "number", - } as LayerParameter<"number">, - kernel_size: { - index: 2, - parameter_name: "kernel size", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - stride: { - index: 3, - parameter_name: "stride", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - padding: { - index: 4, - parameter_name: "padding", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Applies a 2D convolution over an input signal composed of several - input planes. - -

-

- Parameters -

-
    -
  • - in channels (int) Number of channels in the input image. (3 - for RGB, 1 for grayscale) -
    • -
  • - out_channels (int) Number of channels produced by the - convolution -
    • -
  • - kernel_size (int or tuple) Size of convolving tuple -
    • -
- - More info - - - ), - }, - { - display_name: "BatchNorm2D", - object_name: "nn.BatchNorm2d", - parameters: { - num_features: { - index: 0, - parameter_name: "num features", - min: 1, - max: 16, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Applies Batch Normalization over a 4D input (a mini-batch of 2D - inputs with additional channel dimension) as described in the paper{" "} - - Batch Normalization: Accelerating Deep Network Training by - Reducing Internal Covariate Shift. - - -

-

- Parameters -

-
    -
  • - num features (int) C from an expected input of size (N, C, - H, W) -
    • -
- - More info - - - ), - }, - { - display_name: "MaxPool2d", - object_name: "nn.MaxPool2d", - parameters: { - kernel_size: { - index: 0, - parameter_name: "Kernel size", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - stride: { - index: 1, - parameter_name: "stride", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Applies a 2D max pooling over an input signal composed of several - input planes. - -

-

- Parameters -

-
    -
  • - Kernel Size (int) - the size of the window to take a max - over -
    • -
- - - More info - - - ), - }, - { - display_name: "AdaptAvg Pool2d", - object_name: "nn.AdaptiveAvgPool2d", - parameters: { - output_size: { - index: 0, - parameter_name: "Output size", - min: 1, - max: 16, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Applies a 2D adaptive average pooling over an input signal composed - of several input planes. - -

-

- Parameters -

-
    -
  • - Output Size (int or tuple) - the target output size of the - image of the form H x W. Can be a tuple (H, W) or a single H for a - square image H x H. H and W can be either a int, or None which means - the size will be the same as that of the input. -
    • -
- - - More info - - - ), - }, - { - display_name: "Dropout", - object_name: "nn.Dropout", - parameters: { - p: { - index: 0, - parameter_name: "Probability", - min: 0, - max: 1, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - During training, randomly zeroes some of the elements of the input - tensor with probability p using samples from a Bernoulli - distribution. Each channel will be zeroed out independently on every - forward call. - -

-

- Parameters -

-
    -
  • - Probability (float) - probability of an element to be - zeroed. Default: 0.5 -
    • -
- - - More info - - - ), - }, - - { - display_name: "Flatten", - object_name: "nn.Flatten", - parameters: { - start_dim: { - index: 0, - parameter_name: "start dim", - min: -4, - max: 3, - parameter_type: "number", - } as LayerParameter<"number">, - end_dim: { - index: 1, - parameter_name: "end dim", - min: -4, - max: 3, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- Flattens a contiguous range of dims into a tensor. -

-

- Parameters -

-
    -
  • - Start Dim (int) - First dimension to flatten Default: 1 -
    • -
  • - End Dim (int) - Last dimension to flatten Default: -1 -
    • -
- - - More info - - - ), - }, -]; - -export interface PossibleTransform extends ModelLayer { - label: string; - value: string; -} - -export const POSSIBLE_TRANSFORMS: PossibleTransform[] = [ - { - display_name: "Random Horizontal Flip", - object_name: "transforms.RandomHorizontalFlip", - parameters: { - probability: { - index: 0, - parameter_name: "prob", - min: 0, - max: 1, - parameter_type: "number", - } as LayerParameter<"number">, - }, - label: "Random Horizontal Flip", - value: "RandomHorizontalFlip", - }, - - { - display_name: "Random Vertical Flip", - object_name: "transforms.RandomVerticalFlip", - parameters: { - p: { - index: 0, - parameter_name: "prob", - min: 0, - max: 1, - parameter_type: "number", - } as LayerParameter<"number">, - }, - label: "Random Vertical Flip", - value: "RandomVerticalFlip", - }, - - { - display_name: "To Tensor", - object_name: "transforms.ToTensor", - parameters: {}, - label: "To Tensor", - value: "ToTensor", - }, - { - display_name: "Resize", - object_name: "transforms.Resize", - parameters: { - height: { - index: 0, - parameter_name: "Height", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - width: { - index: 1, - parameter_name: "Width", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - }, - label: "Resize", - value: "Resize", - }, - { - display_name: "Gaussian Blur", - object_name: "transforms.GaussianBlur", - parameters: { - kernel_size: { - index: 0, - parameter_name: "kernel size", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - }, - label: "Gaussian Blur", - value: "GaussianBlur", - }, - { - display_name: "Grayscale", - object_name: "transforms.Grayscale", - parameters: {}, - label: "Grayscale", - value: "Grayscale", - }, - { - display_name: "Normalize", - object_name: "transforms.Normalize", - parameters: { - mean: { - index: 0, - parameter_name: "mean", - min: -1000, - max: 1000, - default: 0, - parameter_type: "number", - } as LayerParameter<"number">, - std: { - index: 1, - parameter_name: "std", - min: -1000, - max: 1000, - default: 1, - parameter_type: "number", - } as LayerParameter<"number">, - }, - label: "Normalize", - value: "Normalize", - }, -]; - -interface DetectionTransform extends PossibleTransform { - transform_type?: string; -} - -export const DETECTION_TRANSFORMS: DetectionTransform[] = [ - { - display_name: "Random Horizontal Flip", - object_name: "transforms.RandomHorizontalFlip", - parameters: { - probability: { - index: 0, - parameter_name: "prob", - min: 0, - max: 1, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Horizontally flip the given image randomly with a given probability. - -

-

- Parameters -

-
    -
  • - prob - probability of the flip -
    • -
- - - More info - - - ), - label: "Random Horizontal Flip", - value: "RandomHorizontalFlip", - }, - - { - display_name: "Random Vertical Flip", - object_name: "transforms.RandomVerticalFlip", - parameters: { - p: { - index: 0, - parameter_name: "prob", - min: 0, - max: 1, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- - Vertically flip the given image randomly with a given probability. - -

-

- Parameters -

-
    -
  • - prob - probability of the flip -
    • -
- - - More info - - - ), - label: "Random Vertical Flip", - value: "RandomVerticalFlip", - }, - - { - display_name: "To Tensor", - object_name: "transforms.ToTensor", - parameters: {}, - tooltip_info: ( - <> -

- Convert PIL Image or numpy.ndarray to tensor. -

-

- Parameters -

-

- None -

- - More info - - - ), - label: "To Tensor", - value: "ToTensor", - }, - { - display_name: "Resize", - object_name: "transforms.Resize", - parameters: { - height: { - index: 0, - parameter_name: "Height", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - width: { - index: 1, - parameter_name: "Width", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- Resize the input image to the given size. -

-

- Parameters -

-
    -
  • - (H, W) - output size -
    • -
- - - More info - - - ), - label: "Resize", - value: "Resize", - }, - { - display_name: "Gaussian Blur", - object_name: "transforms.GaussianBlur", - parameters: { - kernel_size: { - index: 0, - parameter_name: "kernel size", - min: 1, - max: 1000, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- Blurs image with randomly chosen GaussianBlur. -

-

- Parameters -

-
    -
  • - kernel size - size of Gaussian kernel -
    • -
- - More info - - - ), - label: "Gaussian Blur", - value: "GaussianBlur", - }, - { - display_name: "Grayscale", - object_name: "transforms.Grayscale", - parameters: {}, - tooltip_info: ( - <> -

- Convert image to grayscale. -

-

- Parameters -

-

- None -

- - More info - - - ), - label: "Grayscale", - value: "Grayscale", - }, - { - display_name: "Normalize", - object_name: "transforms.Normalize", - parameters: { - mean: { - index: 0, - parameter_name: "mean", - min: -1000, - max: 1000, - default: 0, - parameter_type: "number", - } as LayerParameter<"number">, - std: { - index: 1, - parameter_name: "std", - min: -1000, - max: 1000, - default: 1, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- Normalize image with mean and standard deviation. -

-

- Parameters -

-
    -
  • - mean - mean of normalization -
    • -
  • - mean - standard deviation of normalization -
    • -
- - - More info - - - ), - label: "Normalize", - value: "Normalize", - }, - { - display_name: "AdjustContrast", - object_name: "transforms.functional.adjust_contrast", - transform_type: "functional", - parameters: { - contrast_factor: { - index: 0, - parameter_name: "contrast_factor", - min: 0, - max: 10000, - default: 0, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- Adjust contrast of an image. -

-

- Parameters -

-
    -
  • - contrast_factor - how much to adjust the contrast -
    • -
- - More info - - - ), - label: "AdjustContrast", - value: "AdjustContrast", - }, - { - display_name: "AdjustBrightness", - object_name: "transforms.functional.adjust_brightness", - transform_type: "functional", - parameters: { - brightness_factor: { - index: 0, - parameter_name: "brightness_factor", - min: 0, - max: 10000, - default: 0, - parameter_type: "number", - } as LayerParameter<"number">, - }, - tooltip_info: ( - <> -

- Adjust brightness of an image. -

-

- Parameters -

-
    -
  • - brightness_factor - how much to adjust the brightness -
    • -
- - - More info - - - ), - label: "AdjustBrightness", - value: "AdjustBrightness", - }, - { - display_name: "Affine", - object_name: "transforms.functional.affine", - transform_type: "functional", - parameters: { - angle: { - index: 0, - parameter_name: "angle", - min: -180, - max: 180, - default: 0, - parameter_type: "number", - } as LayerParameter<"number">, - translate: { - index: 1, - parameter_name: "translate", - min: -1000, - max: 1000, - default: "(0, 0)", - parameter_type: "tuple", - } as LayerParameter<"tuple">, - scale: { - index: 2, - parameter_name: "scale", - min: 0, - max: 1000, - default: 1, - parameter_type: "number", - } as LayerParameter<"number">, - shear: { - index: 3, - parameter_name: "shear", - min: -180, - max: 180, - default: "(0, 0)", - parameter_type: "tuple", - } as LayerParameter<"tuple">, - }, - tooltip_info: ( - <> -

- - Apply affine transformation on the image keeping image center - invariant. - -

-

- Parameters -

-
    -
  • - angle - clockwise rotation angle between -180 and 180 -
    • -
  • - translate - post-rotatation translation -
    • -
  • - scale - overall scale -
    • -
  • - shear - shear angle value between -180 and 180 -
    • -
- - - More info - - - ), - label: "Affine", - value: "Affine", - }, -]; - -const CLASSIFICATION = "classification"; -const REGRESSION = "regression"; - -export type ProblemType = typeof CLASSIFICATION | typeof REGRESSION; - -interface BaseCriterion { - label: string; - value: string; - object_name: string; -} - -export interface Criterion extends BaseCriterion { - problem_type: ProblemType[]; -} - -export const CRITERIONS: Criterion[] = [ - { - label: "L1LOSS", - value: "L1LOSS", - object_name: "nn.L1Loss()", - problem_type: [REGRESSION], - }, - { - label: "MSELOSS", - value: "MSELOSS", - object_name: "nn.MSELoss()", - problem_type: [REGRESSION], - }, - { - label: "BCELOSS", - value: "BCELOSS", - object_name: "nn.BCELoss()", - problem_type: [CLASSIFICATION], - }, - { - label: "CELOSS", - value: "CELOSS", - object_name: "nn.CrossEntropyLoss(reduction='mean')", - problem_type: [CLASSIFICATION], - }, -]; - -export const IMAGE_CLASSIFICATION_CRITERION: BaseCriterion[] = [ - { - label: "CELOSS", - value: "CELOSS", - object_name: "nn.CrossEntropyLoss()", - }, - { - label: "WCELOSS", - value: "WCELOSS", - object_name: "nn.CrossEntropyLoss()", // will define a randomized weights for classes in backend - }, -]; - -export const PROBLEM_TYPES = Object.freeze([ - { label: "Classification", value: CLASSIFICATION }, - { label: "Regression", value: REGRESSION }, -]); - -export const OBJECT_DETECTION_PROBLEM_TYPES = Object.freeze([ - { label: "Labels", value: "labels" }, - { label: "Celebrities", value: "celebrities" }, -]); - -export const DETECTION_TYPES = Object.freeze([ - { label: "Rekognition", value: "rekognition" }, - { label: "YOLO", value: "yolo" }, -]); - -export const BOOL_OPTIONS = Object.freeze([ - { label: "False", value: false }, - { label: "True", value: true }, -]); -export const OPTIMIZER_NAMES = Object.freeze([ - { label: "SGD", value: "SGD" }, - { label: "Adam", value: "Adam" }, -]); - -export interface DefaultDatasetType { - label: string; - value: string | null; -} -export const DEFAULT_DATASETS = Object.freeze([ - { label: "NONE", value: null }, - { label: "IRIS", value: "IRIS" }, - { label: "CALIFORNIAHOUSING", value: "CALIFORNIAHOUSING" }, - { label: "DIABETES", value: "DIABETES" }, - { label: "DIGITS", value: "DIGITS" }, - { label: "WINE", value: "WINE" }, -]); - -export const IMAGE_DEFAULT_DATASETS = Object.freeze([ - { label: "MNIST", value: "MNIST" }, - { label: "FashionMNIST", value: "FashionMNIST" }, - { label: "CIFAR10", value: "CIFAR10" }, -]); - -export const PRETRAINED_MODELS = Object.freeze([ - { label: "RESNET18", value: "RESNET18" }, -]); From ac097d33c6403bbe0dbf2aea6c4d1cff1e3c98bd Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Sat, 22 Jul 2023 14:54:41 -0400 Subject: [PATCH 13/32] minor aesthetics --- .../features/Train/features/Tabular/components/TabularDnd.tsx | 2 -- 1 file changed, 2 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 883d742b2..1e01ddd7a 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -221,7 +221,5 @@ function TextUpdaterNode(props: TextUpdaterNodeProps) { } export function exportLayers(): ParameterData["layers"][] | undefined { - - return []; } From 4f256e7ed3318da689560229d83e8721a889a06a Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 27 Jul 2023 22:15:01 -0400 Subject: [PATCH 14/32] pushing last code --- .../Tabular/components/TabularDnd.tsx | 84 +++++++++++-------- 1 file changed, 49 insertions(+), 35 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 1e01ddd7a..2a7053317 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -28,44 +28,28 @@ import "reactflow/dist/style.css"; import { STEP_SETTINGS } from "../constants/tabularConstants"; import { ParameterData } from "../types/tabularTypes"; -type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; - -interface OnChangeArgs { - id: string; - newValue: number; - parameterIndex: number; +interface TabularDndProps { + exportLayers?: (layers: ParameterData["layers"][]) => void; } -interface NodeData { - label: - | (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"] - | "Start"; - value: ALL_LAYERS | "root"; - parameters?: number[]; - onChange: (args: OnChangeArgs) => void; -} - -const initialNodes: Node[] = [ - { - id: `root`, - type: "input", - position: { x: 0, y: 0 }, - deletable: false, - data: { - label: "Start", - value: "root", - parameters: [], - onChange: () => undefined, - }, - }, -]; -const initialEdges: Edge[] = [{ id: "e1-2", source: "1", target: "2" }]; -const nodeTypes: NodeTypes = { textUpdater: TextUpdaterNode }; - -export default function TabularDnd() { +export default function TabularDnd(props: TabularDndProps) { + const { exportLayers } = props; const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); + export function handleExportLayers(): ParameterData["layers"][] | undefined { + const layers: ParameterData["layers"][] = []; + + const directedEdges: Record> = {}; + + edges.forEach((edge) => { + const sourceNode = nodes.find((node) => node.id === edge.source); + const targetNode = nodes.find((node) => node.id === edge.target); + directedEdges[sourceNode] = targetNode; + + return []; + } + const onChange = useCallback((args: OnChangeArgs) => { setNodes((nds) => nds.map((node) => { @@ -220,6 +204,36 @@ function TextUpdaterNode(props: TextUpdaterNodeProps) { ); } -export function exportLayers(): ParameterData["layers"][] | undefined { - return []; +type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; + +interface OnChangeArgs { + id: string; + newValue: number; + parameterIndex: number; +} + +interface NodeData { + label: + | (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"] + | "Start"; + value: ALL_LAYERS | "root"; + parameters?: number[]; + onChange: (args: OnChangeArgs) => void; } + +const initialNodes: Node[] = [ + { + id: `root`, + type: "input", + position: { x: 0, y: 0 }, + deletable: false, + data: { + label: "Start", + value: "root", + parameters: [], + onChange: () => undefined, + }, + }, +]; +const initialEdges: Edge[] = [{ id: "e1-2", source: "1", target: "2" }]; +const nodeTypes: NodeTypes = { textUpdater: TextUpdaterNode }; From 837a5074273d24097a40b9e298b9fe7031fc6c20 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Mon, 14 Aug 2023 14:01:00 -0400 Subject: [PATCH 15/32] dummy From 6cdd2c08b5849988c8e10a88499feb6699428226 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 24 Aug 2023 22:19:40 -0400 Subject: [PATCH 16/32] Minor correction --- .../features/Train/features/Tabular/components/TabularDnd.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 2a7053317..9c7de3a43 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -16,7 +16,6 @@ import ReactFlow, { Controls, Edge, Handle, - MiniMap, Node, NodeTypes, Position, @@ -37,7 +36,7 @@ export default function TabularDnd(props: TabularDndProps) { const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); - export function handleExportLayers(): ParameterData["layers"][] | undefined { + function handleExportLayers(): ParameterData["layers"][] | undefined { const layers: ParameterData["layers"][] = []; const directedEdges: Record> = {}; @@ -46,6 +45,7 @@ export default function TabularDnd(props: TabularDndProps) { const sourceNode = nodes.find((node) => node.id === edge.source); const targetNode = nodes.find((node) => node.id === edge.target); directedEdges[sourceNode] = targetNode; + }); return []; } From ebc4f195aaf1b9a1929929ef2468ff16fc42eeaa Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 7 Sep 2023 20:26:38 -0400 Subject: [PATCH 17/32] function to read layers --- .vscode/settings.json | 3 +- .../Train/components/CreateTrainspace.tsx | 17 +++++-- .../Tabular/components/TabularDnd.tsx | 48 ++++++++++++++----- 3 files changed, 51 insertions(+), 17 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index 2f3929c37..8e752a5eb 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -19,5 +19,6 @@ }, "python.formatting.provider": "none", "python.terminal.activateEnvironment": false, - "python.analysis.typeCheckingMode": "basic" + "python.analysis.typeCheckingMode": "basic", + "cSpell.words": ["reactflow"] } diff --git a/frontend/src/features/Train/components/CreateTrainspace.tsx b/frontend/src/features/Train/components/CreateTrainspace.tsx index 31d9b17bc..58ec07721 100644 --- a/frontend/src/features/Train/components/CreateTrainspace.tsx +++ b/frontend/src/features/Train/components/CreateTrainspace.tsx @@ -11,6 +11,7 @@ import { } from "../constants/trainConstants"; import { createTrainspaceData } from "../redux/trainspaceSlice"; import TabularDnd from "../features/Tabular/components/TabularDnd"; +import { ParameterData } from "../features/Tabular/types/tabularTypes"; const CreateTrainspace = () => { const { handleSubmit, @@ -19,9 +20,7 @@ const CreateTrainspace = () => { control, setValue, } = useForm({ - defaultValues: { - name: "My Trainspace", - }, + defaultValues: { name: "My Trainspace" }, }); const dispatch = useAppDispatch(); const router = useRouter(); @@ -33,6 +32,9 @@ const CreateTrainspace = () => { setValue("dataSource", router.query.source as DATA_SOURCE); } }, [router.isReady]); + + const [layers, setLayers] = React.useState([]); + return ( { justifyContent="center" style={{ minHeight: "100vh" }} > - + + Create a Trainspace diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 9c7de3a43..99154fb12 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -9,7 +9,7 @@ import { TextField, Typography, } from "@mui/material"; -import React, { useCallback } from "react"; +import React, { useCallback, useEffect } from "react"; import ReactFlow, { Background, BackgroundVariant, @@ -26,28 +26,49 @@ import ReactFlow, { import "reactflow/dist/style.css"; import { STEP_SETTINGS } from "../constants/tabularConstants"; import { ParameterData } from "../types/tabularTypes"; +import assert from "assert"; interface TabularDndProps { - exportLayers?: (layers: ParameterData["layers"][]) => void; + setLayers?: (layers: ParameterData["layers"]) => void; } export default function TabularDnd(props: TabularDndProps) { - const { exportLayers } = props; + const { setLayers } = props; const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); - function handleExportLayers(): ParameterData["layers"][] | undefined { - const layers: ParameterData["layers"][] = []; + useEffect(() => { + if (setLayers) { + const layers = handleExportLayers(); + setLayers(layers); + } + }, [nodes, edges]); - const directedEdges: Record> = {}; + function handleExportLayers(): ParameterData["layers"] { + const layers: ParameterData["layers"] = []; + const directedEdges: Record> = {}; edges.forEach((edge) => { const sourceNode = nodes.find((node) => node.id === edge.source); const targetNode = nodes.find((node) => node.id === edge.target); - directedEdges[sourceNode] = targetNode; + if (sourceNode && targetNode) { + directedEdges[sourceNode.id] = targetNode; + } }); - return []; + let nextNode = directedEdges["root"]; + + // appending all layers from the graph + while (nextNode) { + assert(nextNode.data.value !== "root"); + layers.push({ + value: nextNode.data.value, + parameters: nextNode.data.parameters || [], + }); + nextNode = directedEdges[nextNode.id]; + } + + return layers; } const onChange = useCallback((args: OnChangeArgs) => { @@ -113,7 +134,10 @@ export default function TabularDnd(props: TabularDndProps) { nodes={nodes} edges={edges} onNodesChange={onNodesChange} - onEdgesChange={onEdgesChange} + onEdgesChange={(e) => { + onEdgesChange(e); + handleExportLayers(); + }} onConnect={(params) => setEdges((eds) => addEdge(params, eds))} nodeTypes={nodeTypes} > @@ -127,7 +151,7 @@ export default function TabularDnd(props: TabularDndProps) { interface TextUpdaterNodeProps { id: string; - data: NodeData; + data: LayerNodeData; isConnectable: boolean; } @@ -212,7 +236,7 @@ interface OnChangeArgs { parameterIndex: number; } -interface NodeData { +interface LayerNodeData { label: | (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"] | "Start"; @@ -221,7 +245,7 @@ interface NodeData { onChange: (args: OnChangeArgs) => void; } -const initialNodes: Node[] = [ +const initialNodes: Node[] = [ { id: `root`, type: "input", From 0e34d89a5c3d7b75d5ea5db5c1019f4876ec26f3 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 7 Sep 2023 20:55:11 -0400 Subject: [PATCH 18/32] Standardizing default datasets --- .../Tabular/components/TabularDnd.tsx | 4 +- .../components/TabularParametersStep.tsx | 21 +------- .../Tabular/constants/tabularConstants.ts | 50 ++++++++++++++++--- 3 files changed, 46 insertions(+), 29 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 99154fb12..386e3d90d 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -24,7 +24,7 @@ import ReactFlow, { useNodesState, } from "reactflow"; import "reactflow/dist/style.css"; -import { STEP_SETTINGS } from "../constants/tabularConstants"; +import { ALL_LAYERS, STEP_SETTINGS } from "../constants/tabularConstants"; import { ParameterData } from "../types/tabularTypes"; import assert from "assert"; @@ -228,8 +228,6 @@ function TextUpdaterNode(props: TextUpdaterNodeProps) { ); } -type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; - interface OnChangeArgs { id: string; newValue: number; diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index 82fab4664..75ea90585 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -51,7 +51,7 @@ import { useFieldArray, useForm, } from "react-hook-form"; -import { STEP_SETTINGS } from "../constants/tabularConstants"; +import { DEFAULT_LAYERS, STEP_SETTINGS } from "../constants/tabularConstants"; import { updateTabularTrainspaceData } from "../redux/tabularActions"; import { ParameterData, TrainspaceData } from "../types/tabularTypes"; @@ -101,24 +101,7 @@ const TabularParametersStep = ({ epochs: trainspace?.parameterData?.epochs ?? 5, batchSize: trainspace?.parameterData?.batchSize ?? 20, testSize: trainspace?.parameterData?.testSize ?? 0.2, - layers: trainspace?.parameterData?.layers ?? [ - { - value: "LINEAR", - parameters: [4, 10], - }, - { - value: "RELU", - parameters: [], - }, - { - value: "LINEAR", - parameters: [10, 3], - }, - { - value: "SOFTMAX", - parameters: [-1], - }, - ], + layers: trainspace?.parameterData?.layers ?? DEFAULT_LAYERS.IRIS, }, }); diff --git a/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts b/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts index 32e771d72..649309dcc 100644 --- a/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts +++ b/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts @@ -81,19 +81,22 @@ export const STEP_SETTINGS = { type: "number", }, ], - description: "A linear layer performs a mathematical operation called linear transformation on a set of input values. It applies a combination of scaling and shifting to the input values, resulting in a new set of transformed values as output." + description: + "A linear layer performs a mathematical operation called linear transformation on a set of input values. It applies a combination of scaling and shifting to the input values, resulting in a new set of transformed values as output.", }, RELU: { label: "ReLU", objectName: "nn.ReLU", parameters: [], - description: "ReLU, short for Rectified Linear Unit, is an activation function that acts like a filter that selectively allows positive numbers to pass through unchanged, while converting negative numbers to zero." + description: + "ReLU, short for Rectified Linear Unit, is an activation function that acts like a filter that selectively allows positive numbers to pass through unchanged, while converting negative numbers to zero.", }, TANH: { label: "Tanh", objectName: "nn.Tanh", parameters: [], - description: "The tanh function maps input numbers to a range between -1 and 1, emphasizing values close to zero while diminishing the impact of extremely large or small numbers, making it useful for capturing complex patterns in data." + description: + "The tanh function maps input numbers to a range between -1 and 1, emphasizing values close to zero while diminishing the impact of extremely large or small numbers, making it useful for capturing complex patterns in data.", }, SOFTMAX: { label: "Softmax", @@ -107,13 +110,15 @@ export const STEP_SETTINGS = { type: "number", }, ], - description: "The softmax function takes a set of numbers as input and converts them into a probability distribution, assigning higher probabilities to larger numbers and lower probabilities to smaller numbers, making it useful for multi-class classification tasks." + description: + "The softmax function takes a set of numbers as input and converts them into a probability distribution, assigning higher probabilities to larger numbers and lower probabilities to smaller numbers, making it useful for multi-class classification tasks.", }, SIGMOID: { label: "Sigmoid", objectName: "nn.Sigmoid", parameters: [], - description: "The sigmoid function takes any input number and squeezes it to a range between 0 and 1, effectively converting it into a probability-like value, often used for binary classification tasks and as an activation function in neural networks." + description: + "The sigmoid function takes any input number and squeezes it to a range between 0 and 1, effectively converting it into a probability-like value, often used for binary classification tasks and as an activation function in neural networks.", }, LOGSOFTMAX: { label: "LogSoftmax", @@ -127,8 +132,9 @@ export const STEP_SETTINGS = { type: "number", }, ], - description: "The logsoftmax function converts a set of numbers into a probability distribution using the softmax function, and then applies a logarithm to the resulting probabilities. It is commonly used for multi-class classification tasks as an activation function and to calculate the logarithmic loss during neural network training." - } + description: + "The logsoftmax function converts a set of numbers into a probability distribution using the softmax function, and then applies a logarithm to the resulting probabilities. It is commonly used for multi-class classification tasks as an activation function and to calculate the logarithmic loss during neural network training.", + }, }, }, REVIEW: { @@ -137,3 +143,33 @@ export const STEP_SETTINGS = { component: TabularReviewStep, }, } as const; + +type DEFAULT_DATASET_VALUES = + (typeof STEP_SETTINGS)["DATASET"]["defaultDatasets"][number]["value"]; +export type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; + +export const DEFAULT_LAYERS: Partial<{ + [dataset in DEFAULT_DATASET_VALUES]: { + value: ALL_LAYERS; + parameters: number[]; + }[]; +}> = { + IRIS: [ + { + value: "LINEAR", + parameters: [4, 10], + }, + { + value: "RELU", + parameters: [], + }, + { + value: "LINEAR", + parameters: [10, 3], + }, + { + value: "SOFTMAX", + parameters: [-1], + }, + ], +}; From 2a99dd5f9bd279db0bd4dabc5c0b343a6d5c7f5a Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 7 Sep 2023 21:05:38 -0400 Subject: [PATCH 19/32] function to read layers --- .../features/Tabular/components/TabularDnd.tsx | 18 +++++++++--------- package.json | 4 +++- yarn.lock | 4 ++++ 3 files changed, 16 insertions(+), 10 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index 386e3d90d..b818d1ebd 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -27,6 +27,7 @@ import "reactflow/dist/style.css"; import { ALL_LAYERS, STEP_SETTINGS } from "../constants/tabularConstants"; import { ParameterData } from "../types/tabularTypes"; import assert from "assert"; +import { randomUUID } from "crypto"; interface TabularDndProps { setLayers?: (layers: ParameterData["layers"]) => void; @@ -101,11 +102,11 @@ export default function TabularDnd(props: TabularDndProps) { key={value} variant="outlined" color="primary" - onClick={() => + onClick={() => { setNodes((cur) => [ ...cur, { - id: `${value}-${Math.random() * 100}`, + id: `${value}-${randomUUID()}`, type: "textUpdater", position: { x: Math.random() * 50, @@ -120,8 +121,9 @@ export default function TabularDnd(props: TabularDndProps) { ].parameters.map(() => 0), }, }, - ]) - } + ]); + console.log(nodes); + }} > {value} @@ -134,10 +136,7 @@ export default function TabularDnd(props: TabularDndProps) { nodes={nodes} edges={edges} onNodesChange={onNodesChange} - onEdgesChange={(e) => { - onEdgesChange(e); - handleExportLayers(); - }} + onEdgesChange={onEdgesChange} onConnect={(params) => setEdges((eds) => addEdge(params, eds))} nodeTypes={nodeTypes} > @@ -157,7 +156,8 @@ interface TextUpdaterNodeProps { function TextUpdaterNode(props: TextUpdaterNodeProps) { const { data, isConnectable, id } = props; - const layer = STEP_SETTINGS.PARAMETERS.layers[data.value as ALL_LAYERS]; + assert(data.value !== "root"); + const layer = STEP_SETTINGS.PARAMETERS.layers[data.value]; return ( <> diff --git a/package.json b/package.json index 04e909443..fc1703d95 100644 --- a/package.json +++ b/package.json @@ -30,5 +30,7 @@ "url": "https://github.com/DSGT-DLP/Deep-Learning-Playground/issues" }, "homepage": "https://github.com/DSGT-DLP/Deep-Learning-Playground#readme", - "dependencies": {} + "dependencies": { + "nanoid": "^4.0.2" + } } diff --git a/yarn.lock b/yarn.lock index fb57ccd13..6aa4a4680 100644 --- a/yarn.lock +++ b/yarn.lock @@ -2,3 +2,7 @@ # yarn lockfile v1 +nanoid@^4.0.2: + version "4.0.2" + resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-4.0.2.tgz#140b3c5003959adbebf521c170f282c5e7f9fb9e" + integrity sha512-7ZtY5KTCNheRGfEFxnedV5zFiORN1+Y1N6zvPTnHQd8ENUvfaDBeuJDZb2bN/oXwXxu3qkTXDzy57W5vAmDTBw== From a8a8e2fe710ab23e4081732d71fb36ad90ee9be1 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 7 Sep 2023 21:46:56 -0400 Subject: [PATCH 20/32] Default layers for Iris --- .../Tabular/components/TabularDnd.tsx | 96 ++++++++++++++----- .../Tabular/constants/tabularConstants.ts | 31 ++---- 2 files changed, 81 insertions(+), 46 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index b818d1ebd..bdd63c281 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -9,7 +9,7 @@ import { TextField, Typography, } from "@mui/material"; -import React, { useCallback, useEffect } from "react"; +import React, { useEffect } from "react"; import ReactFlow, { Background, BackgroundVariant, @@ -24,10 +24,15 @@ import ReactFlow, { useNodesState, } from "reactflow"; import "reactflow/dist/style.css"; -import { ALL_LAYERS, STEP_SETTINGS } from "../constants/tabularConstants"; +import { + ALL_LAYERS, + DEFAULT_LAYERS, + STEP_SETTINGS, +} from "../constants/tabularConstants"; import { ParameterData } from "../types/tabularTypes"; import assert from "assert"; -import { randomUUID } from "crypto"; +import { nanoid } from "nanoid/non-secure"; +import { toast } from "react-toastify"; interface TabularDndProps { setLayers?: (layers: ParameterData["layers"]) => void; @@ -35,6 +40,26 @@ interface TabularDndProps { export default function TabularDnd(props: TabularDndProps) { const { setLayers } = props; + + const initialNodes: Node[] = [ + ROOT_NODE, + ...DEFAULT_LAYERS.IRIS.map((layer, i) => ({ + id: `${layer.value}-${i}`, + type: "textUpdater", + position: { + x: DEFAULT_X_POSITION, + y: (i + 1) * 125, + }, + data: { + label: STEP_SETTINGS.PARAMETERS.layers[layer.value].label, + value: layer.value, + parameters: layer.parameters.slice(), + onChange: onChange, + }, + })), + ]; + const initialEdges: Edge[] = createInitialEdges(); + const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); @@ -47,6 +72,7 @@ export default function TabularDnd(props: TabularDndProps) { function handleExportLayers(): ParameterData["layers"] { const layers: ParameterData["layers"] = []; + const visited = new Set(["root"]); const directedEdges: Record> = {}; edges.forEach((edge) => { @@ -62,6 +88,12 @@ export default function TabularDnd(props: TabularDndProps) { // appending all layers from the graph while (nextNode) { assert(nextNode.data.value !== "root"); + + if (visited.has(nextNode.id)) { + toast.error("Cycle detected in layers"); + return layers; + } + visited.add(nextNode.id); layers.push({ value: nextNode.data.value, parameters: nextNode.data.parameters || [], @@ -72,7 +104,7 @@ export default function TabularDnd(props: TabularDndProps) { return layers; } - const onChange = useCallback((args: OnChangeArgs) => { + function onChange(args: OnChangeArgs) { setNodes((nds) => nds.map((node) => { if (node.id !== args.id) return node; @@ -82,7 +114,7 @@ export default function TabularDnd(props: TabularDndProps) { return node; }) ); - }, []); + } return ( <> @@ -106,10 +138,10 @@ export default function TabularDnd(props: TabularDndProps) { setNodes((cur) => [ ...cur, { - id: `${value}-${randomUUID()}`, + id: `${value}-${nanoid()}`, type: "textUpdater", position: { - x: Math.random() * 50, + x: DEFAULT_X_POSITION, y: Math.random() * 50, }, data: { @@ -122,7 +154,6 @@ export default function TabularDnd(props: TabularDndProps) { }, }, ]); - console.log(nodes); }} > {value} @@ -243,19 +274,40 @@ interface LayerNodeData { onChange: (args: OnChangeArgs) => void; } -const initialNodes: Node[] = [ - { - id: `root`, - type: "input", - position: { x: 0, y: 0 }, - deletable: false, - data: { - label: "Start", - value: "root", - parameters: [], - onChange: () => undefined, - }, +const DEFAULT_X_POSITION = 10; + +const ROOT_NODE: Node = { + id: `root`, + type: "input", + position: { x: DEFAULT_X_POSITION, y: 0 }, + deletable: false, + data: { + label: "Start", + value: "root", + parameters: [], + onChange: () => undefined, }, -]; -const initialEdges: Edge[] = [{ id: "e1-2", source: "1", target: "2" }]; +}; const nodeTypes: NodeTypes = { textUpdater: TextUpdaterNode }; + +function createInitialEdges(): Edge[] { + const edges: Edge[] = []; + const defaultLayers = DEFAULT_LAYERS.IRIS; + + // connecting root to first layer + edges.push({ + id: `eroot-0`, + source: "root", + target: `${defaultLayers[0].value}-0`, + }); + + // connecting all layers + for (let i = 0; i < defaultLayers.length - 1; i++) { + edges.push({ + id: `e${i}-${i + 1}`, + source: `${defaultLayers[i].value}-${i}`, + target: `${defaultLayers[i + 1].value}-${i + 1}`, + }); + } + return edges; +} diff --git a/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts b/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts index 649309dcc..533b4fa53 100644 --- a/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts +++ b/frontend/src/features/Train/features/Tabular/constants/tabularConstants.ts @@ -144,32 +144,15 @@ export const STEP_SETTINGS = { }, } as const; -type DEFAULT_DATASET_VALUES = - (typeof STEP_SETTINGS)["DATASET"]["defaultDatasets"][number]["value"]; export type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; -export const DEFAULT_LAYERS: Partial<{ - [dataset in DEFAULT_DATASET_VALUES]: { - value: ALL_LAYERS; - parameters: number[]; - }[]; -}> = { +export const DEFAULT_LAYERS: { + IRIS: { value: ALL_LAYERS; parameters: number[] }[]; +} = { IRIS: [ - { - value: "LINEAR", - parameters: [4, 10], - }, - { - value: "RELU", - parameters: [], - }, - { - value: "LINEAR", - parameters: [10, 3], - }, - { - value: "SOFTMAX", - parameters: [-1], - }, + { value: "LINEAR", parameters: [4, 10] }, + { value: "RELU", parameters: [] }, + { value: "LINEAR", parameters: [10, 3] }, + { value: "SOFTMAX", parameters: [-1] }, ], }; From 622d132fae1ae2d3c476f54936660d956777bab7 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 7 Sep 2023 22:08:32 -0400 Subject: [PATCH 21/32] Restricted implemented train types --- .../src/features/Train/components/CreateTrainspace.tsx | 3 ++- frontend/src/features/Train/constants/trainConstants.ts | 8 +++----- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/frontend/src/features/Train/components/CreateTrainspace.tsx b/frontend/src/features/Train/components/CreateTrainspace.tsx index 58ec07721..9e00ba41c 100644 --- a/frontend/src/features/Train/components/CreateTrainspace.tsx +++ b/frontend/src/features/Train/components/CreateTrainspace.tsx @@ -8,6 +8,7 @@ import { useRouter } from "next/router"; import { ALL_TRAINSPACE_SETTINGS, DATA_SOURCE_ARR, + IMPLEMENTED_DATA_SOURCE_ARR, } from "../constants/trainConstants"; import { createTrainspaceData } from "../redux/trainspaceSlice"; import TabularDnd from "../features/Tabular/components/TabularDnd"; @@ -87,7 +88,7 @@ const CreateTrainspace = () => { value={value ?? ""} helperText={errors.dataSource ? "Data Source is required" : ""} > - {DATA_SOURCE_ARR.map((source) => ( + {IMPLEMENTED_DATA_SOURCE_ARR.map((source) => ( {ALL_TRAINSPACE_SETTINGS[source].name} diff --git a/frontend/src/features/Train/constants/trainConstants.ts b/frontend/src/features/Train/constants/trainConstants.ts index 4ee59a95c..05b16c52c 100644 --- a/frontend/src/features/Train/constants/trainConstants.ts +++ b/frontend/src/features/Train/constants/trainConstants.ts @@ -19,13 +19,11 @@ export const DATA_SOURCE_ARR = [ export const ALL_TRAINSPACE_SETTINGS = { TABULAR: TABULAR_TRAINSPACE_SETTINGS, - PRETRAINED: TABULAR_TRAINSPACE_SETTINGS, IMAGE: IMAGE_TRAINSPACE_SETTINGS, - AUDIO: TABULAR_TRAINSPACE_SETTINGS, - TEXTUAL: TABULAR_TRAINSPACE_SETTINGS, - CLASSICAL_ML: TABULAR_TRAINSPACE_SETTINGS, - OBJECT_DETECTION: TABULAR_TRAINSPACE_SETTINGS, }; +export const IMPLEMENTED_DATA_SOURCE_ARR = Object.keys( + ALL_TRAINSPACE_SETTINGS +) as (keyof typeof ALL_TRAINSPACE_SETTINGS)[]; export const ALL_STEP_SETTINGS = { TABULAR: TABULAR_STEP_SETTINGS, From 84585b072294ad8c90a6c3dbfe7dae32ee71fbcc Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 7 Sep 2023 22:23:36 -0400 Subject: [PATCH 22/32] Added DnD to step and reading layers --- .../features/Train/components/CreateTrainspace.tsx | 13 ------------- .../features/Tabular/components/TabularDnd.tsx | 2 +- .../Tabular/components/TabularParametersStep.tsx | 8 ++++++-- .../Tabular/components/TabularTrainspace.tsx | 3 ++- 4 files changed, 9 insertions(+), 17 deletions(-) diff --git a/frontend/src/features/Train/components/CreateTrainspace.tsx b/frontend/src/features/Train/components/CreateTrainspace.tsx index 9e00ba41c..81350c6a8 100644 --- a/frontend/src/features/Train/components/CreateTrainspace.tsx +++ b/frontend/src/features/Train/components/CreateTrainspace.tsx @@ -7,12 +7,9 @@ import { useAppDispatch } from "@/common/redux/hooks"; import { useRouter } from "next/router"; import { ALL_TRAINSPACE_SETTINGS, - DATA_SOURCE_ARR, IMPLEMENTED_DATA_SOURCE_ARR, } from "../constants/trainConstants"; import { createTrainspaceData } from "../redux/trainspaceSlice"; -import TabularDnd from "../features/Tabular/components/TabularDnd"; -import { ParameterData } from "../features/Tabular/types/tabularTypes"; const CreateTrainspace = () => { const { handleSubmit, @@ -34,8 +31,6 @@ const CreateTrainspace = () => { } }, [router.isReady]); - const [layers, setLayers] = React.useState([]); - return ( { justifyContent="center" style={{ minHeight: "100vh" }} > - - Create a Trainspace diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index bdd63c281..c9fa42f4c 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -48,7 +48,7 @@ export default function TabularDnd(props: TabularDndProps) { type: "textUpdater", position: { x: DEFAULT_X_POSITION, - y: (i + 1) * 125, + y: (i + 1) * 100, }, data: { label: STEP_SETTINGS.PARAMETERS.layers[layer.value].label, diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index 75ea90585..3d9da5e9a 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -89,6 +89,7 @@ const TabularParametersStep = ({ formState: { errors, isDirty }, control, watch, + setValue, } = useForm({ defaultValues: { targetCol: @@ -108,9 +109,11 @@ const TabularParametersStep = ({ useEffect(() => { setIsModified(isDirty); }, [isDirty]); - if (!trainspace) return <>; + if (!trainspace) return null; const targetCol = watch("targetCol"); const features = watch("features"); + const [layers, setLayers] = React.useState([]); + return ( {error ? ( @@ -307,8 +310,9 @@ const TabularParametersStep = ({ /> - + {renderStepperButtons((trainspaceData) => { + setValue("layers", layers); handleSubmit((data) => { dispatch( updateTabularTrainspaceData({ diff --git a/frontend/src/features/Train/features/Tabular/components/TabularTrainspace.tsx b/frontend/src/features/Train/features/Tabular/components/TabularTrainspace.tsx index 5c63a1570..40aef3e08 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularTrainspace.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularTrainspace.tsx @@ -121,7 +121,8 @@ const TrainspaceStepInner = ({ }); } }, [trainspace]); - if (!Component) return <>; + + if (!Component) return null; return ( ( From 1a0cb4e6680fb00193dfa7d38bcd2fcd2707ecee Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Mon, 11 Sep 2023 22:57:44 -0400 Subject: [PATCH 23/32] fixed implemented_da --- frontend/next.config.js | 2 +- frontend/src/features/Dashboard/components/TrainDataGrid.tsx | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/frontend/next.config.js b/frontend/next.config.js index d442086b0..089c75cb2 100644 --- a/frontend/next.config.js +++ b/frontend/next.config.js @@ -23,7 +23,7 @@ const nextConfig = { }, { source: "/api/training/:path*", - destination: "http://localhost:8000/api/:path*", + destination: "http://127.0.0.1:8000/api/:path*", }, ], }; diff --git a/frontend/src/features/Dashboard/components/TrainDataGrid.tsx b/frontend/src/features/Dashboard/components/TrainDataGrid.tsx index d7ac75e76..a00815848 100644 --- a/frontend/src/features/Dashboard/components/TrainDataGrid.tsx +++ b/frontend/src/features/Dashboard/components/TrainDataGrid.tsx @@ -16,7 +16,7 @@ import { useRouter } from "next/router"; import { useAppDispatch } from "@/common/redux/hooks"; import { ALL_TRAINSPACE_SETTINGS, - DATA_SOURCE_ARR, + IMPLEMENTED_DATA_SOURCE_ARR, } from "@/features/Train/constants/trainConstants"; import { formatDate } from "@/common/utils/dateFormat"; import { removeTrainspaceData } from "@/features/Train/redux/trainspaceSlice"; @@ -178,7 +178,7 @@ const NewTrainSpaceMenu = ({ open={open} onClose={handleClose} > - {DATA_SOURCE_ARR.map((source) => ( + {IMPLEMENTED_DATA_SOURCE_ARR.map((source) => ( Date: Tue, 12 Sep 2023 20:23:47 -0400 Subject: [PATCH 24/32] minor typo --- frontend/src/constants.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/frontend/src/constants.ts b/frontend/src/constants.ts index 03bc21b30..4ff358e95 100644 --- a/frontend/src/constants.ts +++ b/frontend/src/constants.ts @@ -8,7 +8,7 @@ export const COLORS = Object.freeze({ gold: "#B3A36A", // secondary visited: "#808080", }); -`` + export const URLs = Object.freeze({ donate: "https://buy.stripe.com/9AQ3e4eO81X57y8aEG", linkedin: "https://www.linkedin.com/company/dsgt/", From 43a3fb21131dcc7fe634057b0b3d6758a67754eb Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Tue, 12 Sep 2023 20:37:23 -0400 Subject: [PATCH 25/32] aesthetics for flow --- .../Train/features/Tabular/components/TabularDnd.tsx | 2 +- .../features/Tabular/components/TabularParametersStep.tsx | 5 +++-- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx index c9fa42f4c..0e62947f9 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx @@ -118,7 +118,7 @@ export default function TabularDnd(props: TabularDndProps) { return ( <> - + Layers diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index 3d9da5e9a..d91953ff3 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -309,8 +309,9 @@ const TabularParametersStep = ({ )} /> - - + + + {renderStepperButtons((trainspaceData) => { setValue("layers", layers); handleSubmit((data) => { From 54de4abb2420f9aa3b57cde682638659e7ccfef7 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Tue, 12 Sep 2023 20:41:27 -0400 Subject: [PATCH 26/32] removed old dnd --- .../components/TabularParametersStep.tsx | 381 +----------------- package.json | 4 +- yarn.lock | 4 - 3 files changed, 3 insertions(+), 386 deletions(-) diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index d91953ff3..ae5b29b28 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -1,37 +1,11 @@ -import ClientOnlyPortal from "@/common/components/ClientOnlyPortal"; import { useAppDispatch, useAppSelector } from "@/common/redux/hooks"; -import { - useCustomKeyboardSensor, - useCustomPointerSensor, -} from "@/common/utils/dndHelpers"; -import { - Active, - DndContext, - DragOverlay, - closestCenter, - useDraggable, - useSensors, -} from "@dnd-kit/core"; -import { - SortableContext, - sortableKeyboardCoordinates, - useSortable, - verticalListSortingStrategy, -} from "@dnd-kit/sortable"; -import { CSS } from "@dnd-kit/utilities"; -import DeleteIcon from "@mui/icons-material/Delete"; -import InfoIcon from "@mui/icons-material/Info"; import { Autocomplete, Button, - Card, - Container, - Divider, FormControl, FormControlLabel, FormGroup, FormLabel, - IconButton, MenuItem, Paper, Radio, @@ -43,19 +17,12 @@ import { TextField, Typography, } from "@mui/material"; -import React, { useEffect, useMemo, useState } from "react"; -import { - Control, - Controller, - FieldErrors, - useFieldArray, - useForm, -} from "react-hook-form"; +import React, { useEffect } from "react"; +import { Controller, useForm } from "react-hook-form"; import { DEFAULT_LAYERS, STEP_SETTINGS } from "../constants/tabularConstants"; import { updateTabularTrainspaceData } from "../redux/tabularActions"; import { ParameterData, TrainspaceData } from "../types/tabularTypes"; -import HtmlTooltip from "@/common/components/HtmlTooltip"; import { useLazyGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; import "reactflow/dist/style.css"; import TabularDnd from "./TabularDnd"; @@ -331,348 +298,4 @@ const TabularParametersStep = ({ ); }; -const LayersDnd = ({ - control, - errors, -}: { - control: Control; - errors: FieldErrors; -}) => { - const { fields, move, insert, remove } = useFieldArray({ - control: control, - name: "layers", - }); - const genLayerInvIds = () => - Object.fromEntries( - STEP_SETTINGS.PARAMETERS.layerValues.map((layerValue) => [ - layerValue, - Math.floor(Math.random() * Date.now()), - ]) - ); - const [layerInvIds, setLayerInvIds] = useState<{ - [layerValue: string]: number; - }>(genLayerInvIds()); - const [dndActive, setDndActive] = useState(null); - const [invHovering, setInvHovering] = useState(false); - - const dndActiveItem = useMemo(() => { - if (!dndActive) return; - if (dndActive.data.current && "inventory" in dndActive.data.current) { - const value = dndActive.data.current.inventory - .value as (typeof STEP_SETTINGS.PARAMETERS.layerValues)[number]; - return { - id: layerInvIds[value], - value: value, - parameters: STEP_SETTINGS.PARAMETERS.layers[value].parameters.map( - () => "" - ) as ""[], - }; - } else if (dndActive.data.current && "sortable" in dndActive.data.current) { - return fields[dndActive.data.current.sortable.index]; - } - }, [dndActive]); - const sensors = useSensors( - useCustomPointerSensor(), - useCustomKeyboardSensor({ coordinateGetter: sortableKeyboardCoordinates }) - ); - return ( - { - if (dndActive !== null) return; - setDndActive(active); - }} - onDragOver={({ over }) => { - if (!over || !over.data.current) { - setInvHovering(false); - return; - } - if (!invHovering) { - setInvHovering(true); - } - }} - onDragEnd={({ active, over }) => { - if (dndActive && dndActive.data.current && dndActiveItem) { - if ( - "inventory" in dndActive.data.current && - over?.data.current && - "sortable" in over.data.current - ) { - insert(over.data.current.sortable.index, { - value: dndActiveItem.value, - parameters: dndActiveItem.parameters as number[], - }); - } else if ( - "sortable" in dndActive.data.current && - over?.data.current && - "sortable" in over.data.current - ) { - move( - fields.findIndex((field) => field.id === active.id), - fields.findIndex((field) => field.id === over.id) - ); - } - } - setLayerInvIds(genLayerInvIds()); - setInvHovering(false); - setDndActive(null); - }} - onDragCancel={({ active }) => { - if (active.data.current && "inventory" in active.data.current) { - const index = fields.findIndex((field) => field.id === active.id); - if (index !== -1) { - remove(fields.findIndex((field) => field.id === active.id)); - } - } - setLayerInvIds(genLayerInvIds()); - setInvHovering(false); - setDndActive(null); - }} - > - - - - Layers - - - {STEP_SETTINGS.PARAMETERS.layerValues.map((value) => ( - - ))} - - - - - - - - {fields.length > 0 ? ( - [ - dndActiveItem && - dndActive?.data.current && - "inventory" in dndActive.data.current && - invHovering ? ( - - ) : null, - ...fields.map((field, index) => ( - remove(index), - }} - /> - )), - ] - ) : ( - This is Unimplemented - )} - - - - - - - {dndActiveItem ? ( - dndActive?.data.current && "sortable" in dndActive.data.current ? ( - - ) : ( - - ) - ) : null} - - - - ); -}; - -const LayerComponent = ({ - id, - data, - formProps, -}: { - id?: string | number; - data: ParameterData["layers"][number]; - formProps?: { - index: number; - control: Control; - errors: FieldErrors; - remove?: () => void; - }; -}) => { - const { - attributes, - listeners, - setNodeRef, - isDragging, - transform, - transition, - } = id - ? useSortable({ id }) - : { - attributes: undefined, - listeners: undefined, - setNodeRef: undefined, - isDragging: undefined, - transform: undefined, - transition: undefined, - }; - const style = transform - ? { - opacity: isDragging ? 0.4 : undefined, - transform: CSS.Transform.toString(transform), - transition: transition, - } - : undefined; - return ( -
- - - - - {STEP_SETTINGS.PARAMETERS.layers[data.value].label} - - {STEP_SETTINGS.PARAMETERS.layers[data.value].description} - - } - > - - - - - {STEP_SETTINGS.PARAMETERS.layers[data.value].label} - - - } - > - {STEP_SETTINGS.PARAMETERS.layers[data.value].parameters.map( - (parameter, index) => ( -
- {formProps ? ( - ( - - )} - /> - ) : ( - - )} -
- ) - )} - -
- - - -
- - - -
- ); -}; - -const LayerInventoryComponent = ({ - id, - value, -}: { - id: number; - value: (typeof STEP_SETTINGS.PARAMETERS.layerValues)[number]; -}) => { - const { attributes, listeners, isDragging, setNodeRef } = useDraggable({ - id: id, - data: { - inventory: { - value, - }, - }, - }); - - const style = { - opacity: isDragging ? 0.4 : undefined, - }; - return ( -
- - {STEP_SETTINGS.PARAMETERS.layers[value].label} - -
- ); -}; - export default TabularParametersStep; diff --git a/package.json b/package.json index fc1703d95..04e909443 100644 --- a/package.json +++ b/package.json @@ -30,7 +30,5 @@ "url": "https://github.com/DSGT-DLP/Deep-Learning-Playground/issues" }, "homepage": "https://github.com/DSGT-DLP/Deep-Learning-Playground#readme", - "dependencies": { - "nanoid": "^4.0.2" - } + "dependencies": {} } diff --git a/yarn.lock b/yarn.lock index 6aa4a4680..fb57ccd13 100644 --- a/yarn.lock +++ b/yarn.lock @@ -2,7 +2,3 @@ # yarn lockfile v1 -nanoid@^4.0.2: - version "4.0.2" - resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-4.0.2.tgz#140b3c5003959adbebf521c170f282c5e7f9fb9e" - integrity sha512-7ZtY5KTCNheRGfEFxnedV5zFiORN1+Y1N6zvPTnHQd8ENUvfaDBeuJDZb2bN/oXwXxu3qkTXDzy57W5vAmDTBw== From f3a1a2903a131585a5579f034b40908c66f28106 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Tue, 12 Sep 2023 20:48:36 -0400 Subject: [PATCH 27/32] added nanoid, removed unused code --- frontend/package.json | 1 + .../Image/components/ImageParametersStep.tsx | 57 ++++++++----------- frontend/yarn.lock | 5 ++ 3 files changed, 31 insertions(+), 32 deletions(-) diff --git a/frontend/package.json b/frontend/package.json index 4a6494c79..ba917dcc9 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -42,6 +42,7 @@ "jszip": "^3.10.1", "local-storage-fallback": "^4.1.2", "lodash.camelcase": "^4.3.0", + "nanoid": "^5.0.1", "next": "^13.2.4", "next-redux-wrapper": "^8.1.0", "openai": "^3.3.0", diff --git a/frontend/src/features/Train/features/Image/components/ImageParametersStep.tsx b/frontend/src/features/Train/features/Image/components/ImageParametersStep.tsx index 332572cb5..6fae4b8d4 100644 --- a/frontend/src/features/Train/features/Image/components/ImageParametersStep.tsx +++ b/frontend/src/features/Train/features/Image/components/ImageParametersStep.tsx @@ -1,25 +1,39 @@ -import React, { useEffect, useMemo, useState } from "react"; -import { useLazyGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; import { useAppDispatch, useAppSelector } from "@/common/redux/hooks"; -import { styled } from "@mui/material/styles"; -import Tooltip, { tooltipClasses } from "@mui/material/Tooltip"; import InfoIcon from "@mui/icons-material/Info"; +import Tooltip, { tooltipClasses } from "@mui/material/Tooltip"; +import { styled } from "@mui/material/styles"; +import React, { useEffect, useMemo, useState } from "react"; +import ClientOnlyPortal from "@/common/components/ClientOnlyPortal"; +import { + useCustomKeyboardSensor, + useCustomPointerSensor, +} from "@/common/utils/dndHelpers"; +import { + Active, + DndContext, + DragOverlay, + closestCenter, + useDraggable, + useSensors, +} from "@dnd-kit/core"; +import { + SortableContext, + sortableKeyboardCoordinates, + useSortable, + verticalListSortingStrategy, +} from "@dnd-kit/sortable"; +import { CSS } from "@dnd-kit/utilities"; +import DeleteIcon from "@mui/icons-material/Delete"; import { - Autocomplete, Card, Container, Divider, - FormControl, FormControlLabel, FormGroup, - FormLabel, IconButton, MenuItem, Paper, - Radio, - RadioGroup, - Slider, Stack, Switch, TextField, @@ -32,30 +46,9 @@ import { useFieldArray, useForm, } from "react-hook-form"; -import { ParameterData, TrainspaceData } from "../types/imageTypes"; import { STEP_SETTINGS } from "../constants/imageConstants"; -import { CSS } from "@dnd-kit/utilities"; -import { - SortableContext, - sortableKeyboardCoordinates, - useSortable, - verticalListSortingStrategy, -} from "@dnd-kit/sortable"; -import { - Active, - DndContext, - DragOverlay, - closestCenter, - useDraggable, - useSensors, -} from "@dnd-kit/core"; -import DeleteIcon from "@mui/icons-material/Delete"; -import { - useCustomKeyboardSensor, - useCustomPointerSensor, -} from "@/common/utils/dndHelpers"; -import ClientOnlyPortal from "@/common/components/ClientOnlyPortal"; import { updateImageTrainspaceData } from "../redux/imageActions"; +import { ParameterData, TrainspaceData } from "../types/imageTypes"; const HtmlTooltip = styled( ({ diff --git a/frontend/yarn.lock b/frontend/yarn.lock index 939e28ce3..f706c317c 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -4847,6 +4847,11 @@ nanoid@^3.3.4: resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.3.6.tgz#443380c856d6e9f9824267d960b4236ad583ea4c" integrity sha512-BGcqMMJuToF7i1rt+2PWSNVnWIkGCU78jBG3RxO/bZlnZPK2Cmi2QaffxGO/2RvWi9sL+FAiRiXMgsyxQ1DIDA== +nanoid@^5.0.1: + version "5.0.1" + resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-5.0.1.tgz#3e95d775a8bc8a98afbf0a237e2bbc6a71b0662e" + integrity sha512-vWeVtV5Cw68aML/QaZvqN/3QQXc6fBfIieAlu05m7FZW2Dgb+3f0xc0TTxuJW+7u30t7iSDTV/j3kVI0oJqIfQ== + native-promise-only@^0.8.1: version "0.8.1" resolved "https://registry.yarnpkg.com/native-promise-only/-/native-promise-only-0.8.1.tgz#20a318c30cb45f71fe7adfbf7b21c99c1472ef11" From a95820b38613fbba4c99bab66ab54dd0485d55d7 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Tue, 12 Sep 2023 21:49:33 -0400 Subject: [PATCH 28/32] added ImageFlow --- .../features/Image/components/ImageFlow.tsx | 313 ++++++++++++++ .../Image/components/ImageParametersStep.tsx | 382 +----------------- .../Image/constants/imageConstants.ts | 55 ++- .../{TabularDnd.tsx => TabularFlow.tsx} | 4 +- .../components/TabularParametersStep.tsx | 4 +- 5 files changed, 371 insertions(+), 387 deletions(-) create mode 100644 frontend/src/features/Train/features/Image/components/ImageFlow.tsx rename frontend/src/features/Train/features/Tabular/components/{TabularDnd.tsx => TabularFlow.tsx} (98%) diff --git a/frontend/src/features/Train/features/Image/components/ImageFlow.tsx b/frontend/src/features/Train/features/Image/components/ImageFlow.tsx new file mode 100644 index 000000000..03d250c47 --- /dev/null +++ b/frontend/src/features/Train/features/Image/components/ImageFlow.tsx @@ -0,0 +1,313 @@ +import HtmlTooltip from "@/common/components/HtmlTooltip"; +import InfoIcon from "@mui/icons-material/Info"; +import { + Button, + Card, + Divider, + Paper, + Stack, + TextField, + Typography, +} from "@mui/material"; +import React, { useEffect } from "react"; +import ReactFlow, { + Background, + BackgroundVariant, + Controls, + Edge, + Handle, + Node, + NodeTypes, + Position, + addEdge, + useEdgesState, + useNodesState, +} from "reactflow"; +import "reactflow/dist/style.css"; +import { + ALL_LAYERS, + DEFAULT_LAYERS, + STEP_SETTINGS, +} from "../constants/imageConstants"; +import { ParameterData } from "../types/imageTypes"; +import assert from "assert"; +import { nanoid } from "nanoid/non-secure"; +import { toast } from "react-toastify"; + +interface ImageFlowProps { + setLayers?: (layers: ParameterData["layers"]) => void; +} + +export default function ImageFlow(props: ImageFlowProps) { + const { setLayers } = props; + + const initialNodes: Node[] = [ + ROOT_NODE, + ...DEFAULT_LAYERS.MNIST.map((layer, i) => ({ + id: `${layer.value}-${i}`, + type: "textUpdater", + position: { + x: DEFAULT_X_POSITION, + y: (i + 1) * 100, + }, + data: { + label: STEP_SETTINGS.PARAMETERS.layers[layer.value].label, + value: layer.value, + parameters: layer.parameters.slice(), + onChange: onChange, + }, + })), + ]; + const initialEdges: Edge[] = createInitialEdges(); + + const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes); + const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges); + + useEffect(() => { + if (setLayers) { + const layers = handleExportLayers(); + setLayers(layers); + } + }, [nodes, edges]); + + function handleExportLayers(): ParameterData["layers"] { + const layers: ParameterData["layers"] = []; + const visited = new Set(["root"]); + + const directedEdges: Record> = {}; + edges.forEach((edge) => { + const sourceNode = nodes.find((node) => node.id === edge.source); + const targetNode = nodes.find((node) => node.id === edge.target); + if (sourceNode && targetNode) { + directedEdges[sourceNode.id] = targetNode; + } + }); + + let nextNode = directedEdges["root"]; + + // appending all layers from the graph + while (nextNode) { + assert(nextNode.data.value !== "root"); + + if (visited.has(nextNode.id)) { + toast.error("Cycle detected in layers"); + return layers; + } + visited.add(nextNode.id); + layers.push({ + value: nextNode.data.value, + parameters: nextNode.data.parameters || [], + }); + nextNode = directedEdges[nextNode.id]; + } + + return layers; + } + + function onChange(args: OnChangeArgs) { + setNodes((nds) => + nds.map((node) => { + if (node.id !== args.id) return node; + if (!node.data.parameters) return node; + + node.data.parameters[args.parameterIndex] = args.newValue; + return node; + }) + ); + } + + return ( + <> + + + + Layers + + + {STEP_SETTINGS.PARAMETERS.layerValues.map((value) => ( + + ))} + + + +
+ setEdges((eds) => addEdge(params, eds))} + nodeTypes={nodeTypes} + > + + + +
+ + ); +} + +interface TextUpdaterNodeProps { + id: string; + data: LayerNodeData; + isConnectable: boolean; +} + +function TextUpdaterNode(props: TextUpdaterNodeProps) { + const { data, isConnectable, id } = props; + assert(data.value !== "root"); + const layer = STEP_SETTINGS.PARAMETERS.layers[data.value]; + + return ( + <> + +
+ + + + {layer.label} + {layer.description} + + } + > + Info + + + + {layer.label} + + + } + > + {layer.parameters.map((parameter, index) => ( + + data.onChange({ + id: id, + newValue: Number(e.target.value), + parameterIndex: index, + }) + } + key={index} + label={parameter.label} + defaultValue={data.parameters?.[index]} + size="small" + type={parameter.type} + required + /> + ))} + + + + +
+ + + ); +} + +interface OnChangeArgs { + id: string; + newValue: number; + parameterIndex: number; +} + +interface LayerNodeData { + label: + | (typeof STEP_SETTINGS.PARAMETERS.layers)[ALL_LAYERS]["label"] + | "Start"; + value: ALL_LAYERS | "root"; + parameters?: number[]; + onChange: (args: OnChangeArgs) => void; +} + +const DEFAULT_X_POSITION = 10; + +const ROOT_NODE: Node = { + id: `root`, + type: "input", + position: { x: DEFAULT_X_POSITION, y: 0 }, + deletable: false, + data: { + label: "Start", + value: "root", + parameters: [], + onChange: () => undefined, + }, +}; +const nodeTypes: NodeTypes = { textUpdater: TextUpdaterNode }; + +function createInitialEdges(): Edge[] { + const edges: Edge[] = []; + const defaultLayers = DEFAULT_LAYERS.MNIST; + + // connecting root to first layer + edges.push({ + id: `eroot-0`, + source: "root", + target: `${defaultLayers[0].value}-0`, + }); + + // connecting all layers + for (let i = 0; i < defaultLayers.length - 1; i++) { + edges.push({ + id: `e${i}-${i + 1}`, + source: `${defaultLayers[i].value}-${i}`, + target: `${defaultLayers[i + 1].value}-${i + 1}`, + }); + } + return edges; +} diff --git a/frontend/src/features/Train/features/Image/components/ImageParametersStep.tsx b/frontend/src/features/Train/features/Image/components/ImageParametersStep.tsx index 6fae4b8d4..2c8311b2d 100644 --- a/frontend/src/features/Train/features/Image/components/ImageParametersStep.tsx +++ b/frontend/src/features/Train/features/Image/components/ImageParametersStep.tsx @@ -46,9 +46,10 @@ import { useFieldArray, useForm, } from "react-hook-form"; -import { STEP_SETTINGS } from "../constants/imageConstants"; +import { DEFAULT_LAYERS, STEP_SETTINGS } from "../constants/imageConstants"; import { updateImageTrainspaceData } from "../redux/imageActions"; import { ParameterData, TrainspaceData } from "../types/imageTypes"; +import ImageFlow from "./ImageFlow"; const HtmlTooltip = styled( ({ @@ -93,6 +94,7 @@ const ImageParametersStep = ({ handleSubmit, formState: { errors, isDirty }, control, + setValue, } = useForm({ defaultValues: { criterion: trainspace?.parameterData?.criterion ?? "CELOSS", @@ -128,34 +130,17 @@ const ImageParametersStep = ({ parameters: [32, 32], }, ], - layers: trainspace?.parameterData?.layers ?? [ - { - value: "CONV2D", - parameters: [1, 5, 3, 1, 1], - }, - { - value: "MAXPOOL2D", - parameters: [3, 1], - }, - { - value: "FLATTEN", - parameters: [1, -1], - }, - { - value: "LINEAR", - parameters: [500, 10], - }, - { - value: "SIGMOID", - parameters: [], - }, - ], + layers: trainspace?.parameterData?.layers ?? DEFAULT_LAYERS.MNIST, }, }); useEffect(() => { setIsModified(isDirty); }, [isDirty]); - if (!trainspace) return <>; + + if (!trainspace) return null; + + const [layers, setLayers] = React.useState([]); + return ( - + + + {renderStepperButtons((trainspaceData) => { + setValue("layers", layers); handleSubmit((data) => { dispatch( updateImageTrainspaceData({ @@ -248,350 +236,6 @@ const ImageParametersStep = ({ ); }; -const LayersDnd = ({ - control, - errors, -}: { - control: Control; - errors: FieldErrors; -}) => { - const { fields, move, insert, remove } = useFieldArray({ - control: control, - name: "layers", - }); - const genLayerInvIds = () => - Object.fromEntries( - STEP_SETTINGS.PARAMETERS.layerValues.map((layerValue) => [ - layerValue, - Math.floor(Math.random() * Date.now()), - ]) - ); - const [layerInvIds, setLayerInvIds] = useState<{ - [layerValue: string]: number; - }>(genLayerInvIds()); - const [dndActive, setDndActive] = useState(null); - const [invHovering, setInvHovering] = useState(false); - - const dndActiveItem = useMemo(() => { - if (!dndActive) return; - if (dndActive.data.current && "inventory" in dndActive.data.current) { - const value = dndActive.data.current.inventory - .value as (typeof STEP_SETTINGS.PARAMETERS.layerValues)[number]; - return { - id: layerInvIds[value], - value: value, - parameters: STEP_SETTINGS.PARAMETERS.layers[value].parameters.map( - () => "" - ) as ""[], - }; - } else if (dndActive.data.current && "sortable" in dndActive.data.current) { - return fields[dndActive.data.current.sortable.index]; - } - }, [dndActive]); - const sensors = useSensors( - useCustomPointerSensor(), - useCustomKeyboardSensor({ coordinateGetter: sortableKeyboardCoordinates }) - ); - return ( - { - if (dndActive !== null) return; - setDndActive(active); - }} - onDragOver={({ over }) => { - if (!over || !over.data.current) { - setInvHovering(false); - return; - } - if (!invHovering) { - setInvHovering(true); - } - }} - onDragEnd={({ active, over }) => { - if (dndActive && dndActive.data.current && dndActiveItem) { - if ( - "inventory" in dndActive.data.current && - over?.data.current && - "sortable" in over.data.current - ) { - insert(over.data.current.sortable.index, { - value: dndActiveItem.value, - parameters: dndActiveItem.parameters as number[], - }); - } else if ( - "sortable" in dndActive.data.current && - over?.data.current && - "sortable" in over.data.current - ) { - move( - fields.findIndex((field) => field.id === active.id), - fields.findIndex((field) => field.id === over.id) - ); - } - } - setLayerInvIds(genLayerInvIds()); - setInvHovering(false); - setDndActive(null); - }} - onDragCancel={({ active }) => { - if (active.data.current && "inventory" in active.data.current) { - const index = fields.findIndex((field) => field.id === active.id); - if (index !== -1) { - remove(fields.findIndex((field) => field.id === active.id)); - } - } - setLayerInvIds(genLayerInvIds()); - setInvHovering(false); - setDndActive(null); - }} - > - - - - Layers - - - {STEP_SETTINGS.PARAMETERS.layerValues.map((value) => ( - - ))} - - - - - - - - {fields.length > 0 ? ( - [ - dndActiveItem && - dndActive?.data.current && - "inventory" in dndActive.data.current && - invHovering ? ( - - ) : null, - ...fields.map((field, index) => ( - remove(index), - }} - /> - )), - ] - ) : ( - This is Unimplemented - )} - - - - - - - {dndActiveItem ? ( - dndActive?.data.current && "sortable" in dndActive.data.current ? ( - - ) : ( - - ) - ) : null} - - - - ); -}; - -const LayerComponent = ({ - id, - data, - formProps, -}: { - id?: string | number; - data: ParameterData["layers"][number]; - formProps?: { - index: number; - control: Control; - errors: FieldErrors; - remove?: () => void; - }; -}) => { - const { - attributes, - listeners, - setNodeRef, - isDragging, - transform, - transition, - } = id - ? useSortable({ id }) - : { - attributes: undefined, - listeners: undefined, - setNodeRef: undefined, - isDragging: undefined, - transform: undefined, - transition: undefined, - }; - const style = transform - ? { - opacity: isDragging ? 0.4 : undefined, - transform: CSS.Transform.toString(transform), - transition: transition, - } - : undefined; - return ( -
- - - - - {STEP_SETTINGS.PARAMETERS.layers[data.value].label} - - {STEP_SETTINGS.PARAMETERS.layers[data.value].description} - - } - > - Info - - - {STEP_SETTINGS.PARAMETERS.layers[data.value].label} - - - } - > - {STEP_SETTINGS.PARAMETERS.layers[data.value].parameters.map( - (parameter, index) => ( -
- {formProps ? ( - ( - - )} - /> - ) : ( - - )} -
- ) - )} - -
- - - -
- - - -
- ); -}; - -const LayerInventoryComponent = ({ - id, - value, -}: { - id: number; - value: (typeof STEP_SETTINGS.PARAMETERS.layerValues)[number]; -}) => { - const { attributes, listeners, isDragging, setNodeRef } = useDraggable({ - id: id, - data: { - inventory: { - value, - }, - }, - }); - - const style = { - opacity: isDragging ? 0.4 : undefined, - }; - return ( -
- - {STEP_SETTINGS.PARAMETERS.layers[value].label} - -
- ); -}; - const TrainTransformsDnd = ({ control, errors, diff --git a/frontend/src/features/Train/features/Image/constants/imageConstants.ts b/frontend/src/features/Train/features/Image/constants/imageConstants.ts index b4aed9d9c..5c1ce2d26 100644 --- a/frontend/src/features/Train/features/Image/constants/imageConstants.ts +++ b/frontend/src/features/Train/features/Image/constants/imageConstants.ts @@ -26,21 +26,21 @@ export const STEP_SETTINGS = { component: ImageParametersStep, criterions: [ { - label: "CELOSS", - value: "CELOSS", - object_name: "nn.CrossEntropyLoss()", + label: "CELOSS", + value: "CELOSS", + object_name: "nn.CrossEntropyLoss()", }, { - label: "WCELOSS", - value: "WCELOSS", - object_name: "nn.CrossEntropyLoss()", // will define a randomized weights for classes in backend + label: "WCELOSS", + value: "WCELOSS", + object_name: "nn.CrossEntropyLoss()", // will define a randomized weights for classes in backend }, ], optimizers: [ { label: "Stochastic Gradient Descent", value: "SGD" }, { label: "Adam Optimization", value: "Adam" }, ], - layerValues: ["CONV2D", "MAXPOOL2D", "FLATTEN", "LINEAR", "SIGMOID"], + layerValues: ["CONV2D", "MAXPOOL2D", "FLATTEN", "LINEAR", "SIGMOID"], layers: { CONV2D: { label: "Conv2d", @@ -82,7 +82,8 @@ export const STEP_SETTINGS = { type: "number", }, ], - description: "The `CONV2d` function applies a filter to input data in a sliding window manner. By performing element-wise multiplication and sum of the overlapping portions, it captures local spatial patterns and features, enabling applications such as image recognition, object detection, and semantic segmentation in computer vision tasks.", + description: + "The `CONV2d` function applies a filter to input data in a sliding window manner. By performing element-wise multiplication and sum of the overlapping portions, it captures local spatial patterns and features, enabling applications such as image recognition, object detection, and semantic segmentation in computer vision tasks.", }, MAXPOOL2D: { label: "MaxPool2d", @@ -103,7 +104,8 @@ export const STEP_SETTINGS = { type: "number", }, ], - description: "MaxPool2d function reduces the size of input data by dividing it into non-overlapping rectangular regions and selecting the maximum value from each region. This downsampling operation preserves important features while decreasing spatial dimensions, making it beneficial for tasks like image classification and extracting spatial characteristics." + description: + "MaxPool2d function reduces the size of input data by dividing it into non-overlapping rectangular regions and selecting the maximum value from each region. This downsampling operation preserves important features while decreasing spatial dimensions, making it beneficial for tasks like image classification and extracting spatial characteristics.", }, FLATTEN: { label: "Flatten", @@ -124,7 +126,8 @@ export const STEP_SETTINGS = { type: "number", }, ], - description: "The flatten operation takes a two-dimensional image representation and transforms it into a one-dimensional vector. This process unravels the image structure by concatenating the rows or columns of pixels, creating a linear sequence of values. By doing so, it allows the network to process the image as a simple list of numbers, facilitating tasks such as image classification or object detection in neural networks." + description: + "The flatten operation takes a two-dimensional image representation and transforms it into a one-dimensional vector. This process unravels the image structure by concatenating the rows or columns of pixels, creating a linear sequence of values. By doing so, it allows the network to process the image as a simple list of numbers, facilitating tasks such as image classification or object detection in neural networks.", }, LINEAR: { label: "Linear", @@ -145,16 +148,26 @@ export const STEP_SETTINGS = { type: "number", }, ], - description: "A linear layer in an image dataset takes the flattened image representation and applies a learned linear transformation to map the input values to a new set of values, allowing the network to learn complex relationships for tasks like image classification or object recognition." + description: + "A linear layer in an image dataset takes the flattened image representation and applies a learned linear transformation to map the input values to a new set of values, allowing the network to learn complex relationships for tasks like image classification or object recognition.", }, SIGMOID: { label: "Sigmoid", objectName: "nn.Sigmoid", parameters: [], - description: "The sigmoid function takes the input values, typically the output of a linear layer, and applies a mathematical function that compresses them into a range between 0 and 1. This transformation is useful for interpreting the output as probabilities, where values closer to 1 indicate higher confidence in the presence of a particular feature or class in the image." + description: + "The sigmoid function takes the input values, typically the output of a linear layer, and applies a mathematical function that compresses them into a range between 0 and 1. This transformation is useful for interpreting the output as probabilities, where values closer to 1 indicate higher confidence in the presence of a particular feature or class in the image.", }, }, - transformValues: ["GAUSSIAN_BLUR", "GRAYSCALE", "NORMALIZE", "RANDOM_HORIZONTAL_FLIP", "RANDOM_VERTICAL_FLIP", "RESIZE", "TO_TENSOR"], + transformValues: [ + "GAUSSIAN_BLUR", + "GRAYSCALE", + "NORMALIZE", + "RANDOM_HORIZONTAL_FLIP", + "RANDOM_VERTICAL_FLIP", + "RESIZE", + "TO_TENSOR", + ], transforms: { GAUSSIAN_BLUR: { label: "Gaussian Blur", @@ -246,10 +259,24 @@ export const STEP_SETTINGS = { parameters: [], }, }, -}, + }, REVIEW: { name: "Review", optional: false, component: ImageReviewStep, }, } as const; + +export type ALL_LAYERS = keyof typeof STEP_SETTINGS.PARAMETERS.layers; + +export const DEFAULT_LAYERS: { + MNIST: { value: ALL_LAYERS; parameters: number[] }[]; +} = { + MNIST: [ + { value: "CONV2D", parameters: [1, 5, 3, 1, 1] }, + { value: "MAXPOOL2D", parameters: [3, 1] }, + { value: "FLATTEN", parameters: [1, -1] }, + { value: "LINEAR", parameters: [500, 10] }, + { value: "SIGMOID", parameters: [] }, + ], +}; diff --git a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx b/frontend/src/features/Train/features/Tabular/components/TabularFlow.tsx similarity index 98% rename from frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx rename to frontend/src/features/Train/features/Tabular/components/TabularFlow.tsx index 0e62947f9..e56e6b428 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularDnd.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularFlow.tsx @@ -34,11 +34,11 @@ import assert from "assert"; import { nanoid } from "nanoid/non-secure"; import { toast } from "react-toastify"; -interface TabularDndProps { +interface TabularFlowProps { setLayers?: (layers: ParameterData["layers"]) => void; } -export default function TabularDnd(props: TabularDndProps) { +export default function TabularFlow(props: TabularFlowProps) { const { setLayers } = props; const initialNodes: Node[] = [ diff --git a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx index ae5b29b28..ab33fbe27 100644 --- a/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx +++ b/frontend/src/features/Train/features/Tabular/components/TabularParametersStep.tsx @@ -25,7 +25,7 @@ import { ParameterData, TrainspaceData } from "../types/tabularTypes"; import { useLazyGetColumnsFromDatasetQuery } from "@/features/Train/redux/trainspaceApi"; import "reactflow/dist/style.css"; -import TabularDnd from "./TabularDnd"; +import TabularFlow from "./TabularFlow"; const TabularParametersStep = ({ renderStepperButtons, @@ -277,7 +277,7 @@ const TabularParametersStep = ({ /> - + {renderStepperButtons((trainspaceData) => { setValue("layers", layers); From 552db0c4f018e529a4128d8710c192fabc1e953e Mon Sep 17 00:00:00 2001 From: farisdurrani Date: Wed, 13 Sep 2023 01:54:41 +0000 Subject: [PATCH 29/32] :art: Auto-generated directory tree for repository in Architecture.md --- .github/Architecture.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.github/Architecture.md b/.github/Architecture.md index 3e377957e..b126d7e66 100644 --- a/.github/Architecture.md +++ b/.github/Architecture.md @@ -77,6 +77,7 @@ | | | | | | |- 📂 constants: | | | | | | | |- 📜 imageConstants.ts | | | | | | |- 📂 components: +| | | | | | | |- 📜 ImageFlow.tsx | | | | | | | |- 📜 ImageTrainspace.tsx | | | | | | | |- 📜 ImageDatasetStep.tsx | | | | | | | |- 📜 ImageReviewStep.tsx @@ -93,6 +94,7 @@ | | | | | | |- 📂 components: | | | | | | | |- 📜 TabularParametersStep.tsx | | | | | | | |- 📜 TabularDatasetStep.tsx +| | | | | | | |- 📜 TabularFlow.tsx | | | | | | | |- 📜 TabularTrainspace.tsx | | | | | | | |- 📜 TabularReviewStep.tsx | | | | | | |- 📂 types: @@ -137,9 +139,11 @@ | | | |- 📂 components: | | | | |- 📜 ClientOnlyPortal.tsx | | | | |- 📜 EmailInput.tsx +| | | | |- 📜 HtmlTooltip.tsx | | | | |- 📜 TitleText.tsx | | | | |- 📜 NavBarMain.tsx | | | | |- 📜 Footer.tsx +| | | | |- 📜 DlpTooltip.tsx | | | | |- 📜 Spacer.tsx | | | |- 📂 utils: | | | | |- 📜 firebase.ts From 365c5db3266bd2129da3a36ba002771f7c282391 Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 14 Sep 2023 20:17:43 -0400 Subject: [PATCH 30/32] settings.json removed change --- .vscode/settings.json | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index 8e752a5eb..2f3929c37 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -19,6 +19,5 @@ }, "python.formatting.provider": "none", "python.terminal.activateEnvironment": false, - "python.analysis.typeCheckingMode": "basic", - "cSpell.words": ["reactflow"] + "python.analysis.typeCheckingMode": "basic" } From 63c18eac477782aed0795e665afa3d47908d411e Mon Sep 17 00:00:00 2001 From: farisdurrani Date: Fri, 15 Sep 2023 00:18:14 +0000 Subject: [PATCH 31/32] :art: Auto-generated directory tree for repository in Architecture.md --- .github/Architecture.md | 278 ++++++++++++++++++++-------------------- 1 file changed, 139 insertions(+), 139 deletions(-) diff --git a/.github/Architecture.md b/.github/Architecture.md index b126d7e66..0e59b4cf4 100644 --- a/.github/Architecture.md +++ b/.github/Architecture.md @@ -4,44 +4,44 @@ ``` 📦 backend -| |- 📂 aws_helpers: -| | |- 📂 dynamo_db_utils: -| | | |- 📜 DynamoUnitTests.md -| | | |- 📜 dynamo_db_utils.py -| | | |- 📜 trainspace_db.py -| | | |- 📜 constants.py : list of helpful constants -| | | |- 📜 userprogress_db.py -| | |- 📜 __init__.py -| |- 📂 ml: -| | |- 📜 ml_trainer.py : train a classical machine learning learning model on the dataset -| | |- 📜 __init__.py -| | |- 📜 ml_model_parser.py | |- 📂 dl: -| | |- 📜 __init__.py +| | |- 📜 dl_model_parser.py : parse the user specified pytorch model | | |- 📜 dl_trainer.py : train a deep learning model on the dataset +| | |- 📜 __init__.py | | |- 📜 dl_model.py : torch model based on user specifications from drag and drop -| | |- 📜 dl_model_parser.py : parse the user specified pytorch model | | |- 📜 detection.py | | |- 📜 dl_eval.py : Evaluation functions for deep learning models in Pytorch (eg: accuracy, loss, etc) +| |- 📂 ml: +| | |- 📜 ml_trainer.py : train a classical machine learning learning model on the dataset +| | |- 📜 ml_model_parser.py +| | |- 📜 __init__.py | |- 📂 common: -| | |- 📜 default_datasets.py : store logic to load in default datasets from scikit-learn +| | |- 📜 optimizer.py : what optimizer to use (ie: SGD or Adam for now) +| | |- 📜 dataset.py : read in the dataset through URL or file upload +| | |- 📜 loss_functions.py : loss function enum | | |- 📜 __init__.py | | |- 📜 preprocessing.py -| | |- 📜 dataset.py : read in the dataset through URL or file upload | | |- 📜 constants.py : list of helpful constants -| | |- 📜 optimizer.py : what optimizer to use (ie: SGD or Adam for now) | | |- 📜 ai_drive.py +| | |- 📜 default_datasets.py : store logic to load in default datasets from scikit-learn +| | |- 📜 utils.py : utility functions that could be helpful | | |- 📜 email_notifier.py : Endpoint to send email notification of training results via API Gateway + AWS SES -| | |- 📜 loss_functions.py : loss function enum | | |- 📜 kernel.py -| | |- 📜 utils.py : utility functions that could be helpful -| |- 📜 __init__.py -| |- 📜 middleware.py -| |- 📜 poetry.lock +| |- 📂 aws_helpers: +| | |- 📂 dynamo_db_utils: +| | | |- 📜 DynamoUnitTests.md +| | | |- 📜 dynamo_db_utils.py +| | | |- 📜 constants.py : list of helpful constants +| | | |- 📜 trainspace_db.py +| | | |- 📜 userprogress_db.py +| | |- 📜 __init__.py | |- 📜 epoch_times.csv | |- 📜 app.py : run the backend (entrypoint script) -| |- 📜 data.csv : data csv file for use in the playground +| |- 📜 __init__.py | |- 📜 pyproject.toml +| |- 📜 data.csv : data csv file for use in the playground +| |- 📜 poetry.lock +| |- 📜 middleware.py ``` ## Frontend Architecture @@ -49,177 +49,177 @@ ``` 📦 frontend | |- 📂 src: -| | |- 📂 backend_outputs: -| | | |- 📜 model.pt : Last model.pt output -| | | |- 📜 my_deep_learning_model.onnx : Last ONNX file output -| | | |- 📜 model.pkl -| | |- 📂 pages: -| | | |- 📂 train: -| | | | |- 📜 [train_space_id].tsx -| | | | |- 📜 index.tsx -| | | |- 📜 feedback.tsx -| | | |- 📜 settings.tsx -| | | |- 📜 _app.tsx -| | | |- 📜 learn.tsx -| | | |- 📜 login.tsx -| | | |- 📜 wiki.tsx -| | | |- 📜 _document.tsx -| | | |- 📜 about.tsx -| | | |- 📜 forgot.tsx -| | | |- 📜 dashboard.tsx -| | | |- 📜 LearnContent.tsx | | |- 📂 features: | | | |- 📂 Train: -| | | | |- 📂 constants: -| | | | | |- 📜 trainConstants.ts +| | | | |- 📂 redux: +| | | | | |- 📜 trainspaceSlice.ts +| | | | | |- 📜 trainspaceApi.ts | | | | |- 📂 features: -| | | | | |- 📂 Image: -| | | | | | |- 📂 constants: -| | | | | | | |- 📜 imageConstants.ts -| | | | | | |- 📂 components: -| | | | | | | |- 📜 ImageFlow.tsx -| | | | | | | |- 📜 ImageTrainspace.tsx -| | | | | | | |- 📜 ImageDatasetStep.tsx -| | | | | | | |- 📜 ImageReviewStep.tsx -| | | | | | | |- 📜 ImageParametersStep.tsx -| | | | | | |- 📂 types: -| | | | | | | |- 📜 imageTypes.ts -| | | | | | |- 📂 redux: -| | | | | | | |- 📜 imageActions.ts -| | | | | | | |- 📜 imageApi.ts -| | | | | | |- 📜 index.ts | | | | | |- 📂 Tabular: +| | | | | | |- 📂 redux: +| | | | | | | |- 📜 tabularApi.ts +| | | | | | | |- 📜 tabularActions.ts | | | | | | |- 📂 constants: | | | | | | | |- 📜 tabularConstants.ts +| | | | | | |- 📂 types: +| | | | | | | |- 📜 tabularTypes.ts | | | | | | |- 📂 components: -| | | | | | | |- 📜 TabularParametersStep.tsx +| | | | | | | |- 📜 TabularReviewStep.tsx | | | | | | | |- 📜 TabularDatasetStep.tsx -| | | | | | | |- 📜 TabularFlow.tsx +| | | | | | | |- 📜 TabularParametersStep.tsx | | | | | | | |- 📜 TabularTrainspace.tsx -| | | | | | | |- 📜 TabularReviewStep.tsx -| | | | | | |- 📂 types: -| | | | | | | |- 📜 tabularTypes.ts +| | | | | | | |- 📜 TabularFlow.tsx +| | | | | | |- 📜 index.ts +| | | | | |- 📂 Image: | | | | | | |- 📂 redux: -| | | | | | | |- 📜 tabularActions.ts -| | | | | | | |- 📜 tabularApi.ts +| | | | | | | |- 📜 imageActions.ts +| | | | | | | |- 📜 imageApi.ts +| | | | | | |- 📂 constants: +| | | | | | | |- 📜 imageConstants.ts +| | | | | | |- 📂 types: +| | | | | | | |- 📜 imageTypes.ts +| | | | | | |- 📂 components: +| | | | | | | |- 📜 ImageParametersStep.tsx +| | | | | | | |- 📜 ImageFlow.tsx +| | | | | | | |- 📜 ImageTrainspace.tsx +| | | | | | | |- 📜 ImageReviewStep.tsx +| | | | | | | |- 📜 ImageDatasetStep.tsx | | | | | | |- 📜 index.ts -| | | | |- 📂 components: -| | | | | |- 📜 CreateTrainspace.tsx -| | | | | |- 📜 DatasetStepLayout.tsx -| | | | | |- 📜 TrainspaceLayout.tsx +| | | | |- 📂 constants: +| | | | | |- 📜 trainConstants.ts | | | | |- 📂 types: | | | | | |- 📜 trainTypes.ts -| | | | |- 📂 redux: -| | | | | |- 📜 trainspaceApi.ts -| | | | | |- 📜 trainspaceSlice.ts -| | | |- 📂 Dashboard: | | | | |- 📂 components: -| | | | | |- 📜 TrainDoughnutChart.tsx -| | | | | |- 📜 TrainBarChart.tsx -| | | | | |- 📜 TrainDataGrid.tsx +| | | | | |- 📜 TrainspaceLayout.tsx +| | | | | |- 📜 DatasetStepLayout.tsx +| | | | | |- 📜 CreateTrainspace.tsx +| | | |- 📂 Feedback: | | | | |- 📂 redux: -| | | | | |- 📜 dashboardApi.ts +| | | | | |- 📜 feedbackApi.ts +| | | |- 📂 OpenAi: +| | | | |- 📜 openAiUtils.ts | | | |- 📂 LearnMod: -| | | | |- 📜 LearningModulesContent.tsx -| | | | |- 📜 Exercise.tsx -| | | | |- 📜 ImageComponent.tsx | | | | |- 📜 ModulesSideBar.tsx +| | | | |- 📜 ImageComponent.tsx | | | | |- 📜 MCQuestion.tsx -| | | | |- 📜 FRQuestion.tsx | | | | |- 📜 ClassCard.tsx -| | | |- 📂 Feedback: +| | | | |- 📜 FRQuestion.tsx +| | | | |- 📜 Exercise.tsx +| | | | |- 📜 LearningModulesContent.tsx +| | | |- 📂 Dashboard: | | | | |- 📂 redux: -| | | | | |- 📜 feedbackApi.ts -| | | |- 📂 OpenAi: -| | | | |- 📜 openAiUtils.ts +| | | | | |- 📜 dashboardApi.ts +| | | | |- 📂 components: +| | | | | |- 📜 TrainDoughnutChart.tsx +| | | | | |- 📜 TrainDataGrid.tsx +| | | | | |- 📜 TrainBarChart.tsx | | |- 📂 common: +| | | |- 📂 redux: +| | | | |- 📜 backendApi.ts +| | | | |- 📜 userLogin.ts +| | | | |- 📜 train.ts +| | | | |- 📜 store.ts +| | | | |- 📜 hooks.ts | | | |- 📂 styles: | | | | |- 📜 globals.css | | | | |- 📜 Home.module.css | | | |- 📂 components: | | | | |- 📜 ClientOnlyPortal.tsx | | | | |- 📜 EmailInput.tsx +| | | | |- 📜 NavBarMain.tsx +| | | | |- 📜 Spacer.tsx | | | | |- 📜 HtmlTooltip.tsx | | | | |- 📜 TitleText.tsx -| | | | |- 📜 NavBarMain.tsx -| | | | |- 📜 Footer.tsx | | | | |- 📜 DlpTooltip.tsx -| | | | |- 📜 Spacer.tsx +| | | | |- 📜 Footer.tsx | | | |- 📂 utils: +| | | | |- 📜 dndHelpers.ts | | | | |- 📜 firebase.ts | | | | |- 📜 dateFormat.ts -| | | | |- 📜 dndHelpers.ts -| | | |- 📂 redux: -| | | | |- 📜 backendApi.ts -| | | | |- 📜 userLogin.ts -| | | | |- 📜 hooks.ts -| | | | |- 📜 store.ts -| | | | |- 📜 train.ts +| | |- 📂 pages: +| | | |- 📂 train: +| | | | |- 📜 [train_space_id].tsx +| | | | |- 📜 index.tsx +| | | |- 📜 _document.tsx +| | | |- 📜 dashboard.tsx +| | | |- 📜 _app.tsx +| | | |- 📜 LearnContent.tsx +| | | |- 📜 forgot.tsx +| | | |- 📜 learn.tsx +| | | |- 📜 settings.tsx +| | | |- 📜 feedback.tsx +| | | |- 📜 about.tsx +| | | |- 📜 login.tsx +| | | |- 📜 wiki.tsx +| | |- 📂 backend_outputs: +| | | |- 📜 model.pkl +| | | |- 📜 model.pt : Last model.pt output +| | | |- 📜 my_deep_learning_model.onnx : Last ONNX file output | | |- 📜 iris.csv : Sample CSV data -| | |- 📜 next-env.d.ts | | |- 📜 constants.ts | | |- 📜 GlobalStyle.ts -| |- 📂 layer_docs: -| | |- 📜 Linear.md : Doc for Linear layer -| | |- 📜 Softmax.md : Doc for Softmax layer -| | |- 📜 softmax_equation.png : PNG file of Softmax equation -| | |- 📜 ReLU.md : Doc for ReLU later +| | |- 📜 next-env.d.ts | |- 📂 public: | | |- 📂 images: +| | | |- 📂 wiki_images: +| | | | |- 📜 maxpool2d.gif +| | | | |- 📜 tanh_plot.png +| | | | |- 📜 avgpool_maxpool.gif +| | | | |- 📜 batchnorm_diagram.png +| | | | |- 📜 softmax_equation.png : PNG file of Softmax equation +| | | | |- 📜 conv2d.gif +| | | | |- 📜 conv2d2.gif +| | | | |- 📜 tanh_equation.png +| | | | |- 📜 dropout_diagram.png +| | | | |- 📜 sigmoid_equation.png +| | | |- 📂 learn_mod_images: +| | | | |- 📜 ReLUactivation.png +| | | | |- 📜 binarystepactivation.png +| | | | |- 📜 lossExampleEquation.png +| | | | |- 📜 sigmoidactivation.png +| | | | |- 📜 sigmoidfunction.png +| | | | |- 📜 robotImage.jpg +| | | | |- 📜 lossExample.png +| | | | |- 📜 lossExampleTable.png +| | | | |- 📜 neuronWithEquation.png +| | | | |- 📜 LeakyReLUactivation.png +| | | | |- 📜 neuron.png +| | | | |- 📜 neuralnet.png +| | | | |- 📜 tanhactivation.png | | | |- 📂 logos: | | | | |- 📂 dlp_branding: | | | | | |- 📜 dlp-logo.svg : DLP Logo, duplicate of files in public, but essential as the frontend can't read public | | | | | |- 📜 dlp-logo.png : DLP Logo, duplicate of files in public, but essential as the frontend can't read public | | | | |- 📜 dsgt-logo-dark.png | | | | |- 📜 github.png -| | | | |- 📜 dsgt-logo-light.png -| | | | |- 📜 pandas-logo.png -| | | | |- 📜 react-logo.png +| | | | |- 📜 google.png | | | | |- 📜 python-logo.png +| | | | |- 📜 dsgt-logo-white-back.png +| | | | |- 📜 pandas-logo.png +| | | | |- 📜 aws-logo.png | | | | |- 📜 flask-logo.png +| | | | |- 📜 react-logo.png +| | | | |- 📜 dsgt-logo-light.png | | | | |- 📜 pytorch-logo.png -| | | | |- 📜 aws-logo.png -| | | | |- 📜 google.png -| | | | |- 📜 dsgt-logo-white-back.png -| | | |- 📂 learn_mod_images: -| | | | |- 📜 lossExampleTable.png -| | | | |- 📜 tanhactivation.png -| | | | |- 📜 sigmoidactivation.png -| | | | |- 📜 LeakyReLUactivation.png -| | | | |- 📜 ReLUactivation.png -| | | | |- 📜 robotImage.jpg -| | | | |- 📜 lossExample.png -| | | | |- 📜 binarystepactivation.png -| | | | |- 📜 lossExampleEquation.png -| | | | |- 📜 neuronWithEquation.png -| | | | |- 📜 neuron.png -| | | | |- 📜 neuralnet.png -| | | | |- 📜 sigmoidfunction.png -| | | |- 📂 wiki_images: -| | | | |- 📜 avgpool_maxpool.gif -| | | | |- 📜 conv2d2.gif -| | | | |- 📜 dropout_diagram.png -| | | | |- 📜 batchnorm_diagram.png -| | | | |- 📜 tanh_plot.png -| | | | |- 📜 softmax_equation.png : PNG file of Softmax equation -| | | | |- 📜 maxpool2d.gif -| | | | |- 📜 tanh_equation.png -| | | | |- 📜 conv2d.gif -| | | | |- 📜 sigmoid_equation.png | | | |- 📜 demo_video.gif : GIF tutorial of a simple classification training session +| | |- 📜 dlp-logo.ico : DLP Logo | | |- 📜 dlp-logo.svg : DLP Logo, duplicate of files in public, but essential as the frontend can't read public -| | |- 📜 robots.txt +| | |- 📜 index.html : Base HTML file that will be initially rendered | | |- 📜 dlp-logo.png : DLP Logo, duplicate of files in public, but essential as the frontend can't read public | | |- 📜 manifest.json : Default React file for choosing icon based on -| | |- 📜 index.html : Base HTML file that will be initially rendered -| | |- 📜 dlp-logo.ico : DLP Logo +| | |- 📜 robots.txt +| |- 📂 layer_docs: +| | |- 📜 Softmax.md : Doc for Softmax layer +| | |- 📜 Linear.md : Doc for Linear layer +| | |- 📜 softmax_equation.png : PNG file of Softmax equation +| | |- 📜 ReLU.md : Doc for ReLU later +| |- 📜 .eslintrc.json +| |- 📜 .eslintignore | |- 📜 package.json | |- 📜 jest.config.js -| |- 📜 .eslintrc.json | |- 📜 tsconfig.json +| |- 📜 next.config.js | |- 📜 yarn.lock -| |- 📜 .eslintignore | |- 📜 next-env.d.ts -| |- 📜 next.config.js ``` From d83b34dade8db288a92a07345da318a8722c280a Mon Sep 17 00:00:00 2001 From: Faris Durrani Date: Thu, 14 Sep 2023 20:20:31 -0400 Subject: [PATCH 32/32] nit --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 80d4f2697..c6a095d80 100644 --- a/README.md +++ b/README.md @@ -177,4 +177,3 @@ See [Architecture.md](./.github/Architecture.md) Deep Learning Playground is MIT licensed, as found in the [LICENSE](./LICENSE) file. Deep Learning Playground documentation is Creative Commons licensed, as found in the [LICENSE-docs](./.github/LICENSE-docs) file. -