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hf-doc-build/doc-dev / trackio /pr_310 /en /_app /immutable /nodes /2.b65ca460.js

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ya({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> trackio
	<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np
	<span class="hljs-keyword">from</span> PIL <span class="hljs-keyword">import</span> Image

	<span class="hljs-comment"># Create an image from numpy array</span>
	image_data = np.random.randint(<span class="hljs-number">0</span>, <span class="hljs-number">255</span>, (<span class="hljs-number">64</span>, <span class="hljs-number">64</span>, <span class="hljs-number">3</span>), dtype=np.uint8)
	image = trackio.Image(image_data, caption=<span class="hljs-string">"Random image"</span>)
	trackio.log({<span class="hljs-string">"my_image"</span>: image})

	<span class="hljs-comment"># Create an image from PIL Image</span>
	pil_image = Image.new(<span class="hljs-string">'RGB'</span>, (<span class="hljs-number">100</span>, <span class="hljs-number">100</span>), color=<span class="hljs-string">'red'</span>)
	image = trackio.Image(pil_image, caption=<span class="hljs-string">"Red square"</span>)
	trackio.log({<span class="hljs-string">"red_image"</span>: image})

	<span class="hljs-comment"># Create an image from file path</span>
	image = trackio.Image(<span class="hljs-string">"path/to/image.jpg"</span>, caption=<span class="hljs-string">"Photo from file"</span>)
	trackio.log({<span class="hljs-string">"file_image"</span>: image})`,wrap:!1}}),{c(){e=y("p"),e.textContent=t,n=C(),U(o.$$.fragment)},l(s){e=k(s,"P",{"data-svelte-h":!0}),F(e)!=="svelte-11lpom8"&&(e.textContent=t),n=x(s),S(o.$$.fragment,s)},m(s,l){M(s,e,l),M(s,n,l),q(o,s,l),m=!0},p:vt,i(s){m\|\|(j(o.$$.fragment,s),m=!0)},o(s){E(o.$$.fragment,s),m=!1},d(s){s&&(u(e),u(n)),J(o,s)}}}function Wa(i){let e,t="Example:",n,o,m;return o=new ya({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> trackio
	<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np

	<span class="hljs-comment"># Create a simple video from numpy array</span>
	frames = np.random.randint(<span class="hljs-number">0</span>, <span class="hljs-number">255</span>, (<span class="hljs-number">10</span>, <span class="hljs-number">3</span>, <span class="hljs-number">64</span>, <span class="hljs-number">64</span>), dtype=np.uint8)
	video = trackio.Video(frames, caption=<span class="hljs-string">"Random video"</span>, fps=<span class="hljs-number">30</span>)

	<span class="hljs-comment"># Create a batch of videos</span>
	batch_frames = np.random.randint(<span class="hljs-number">0</span>, <span class="hljs-number">255</span>, (<span class="hljs-number">3</span>, <span class="hljs-number">10</span>, <span class="hljs-number">3</span>, <span class="hljs-number">64</span>, <span class="hljs-number">64</span>), dtype=np.uint8)
	batch_video = trackio.Video(batch_frames, caption=<span class="hljs-string">"Batch of videos"</span>, fps=<span class="hljs-number">15</span>)

	<span class="hljs-comment"># Create video from file path</span>
	video = trackio.Video(<span class="hljs-string">"path/to/video.mp4"</span>, caption=<span class="hljs-string">"Video from file"</span>)`,wrap:!1}}),{c(){e=y("p"),e.textContent=t,n=C(),U(o.$$.fragment)},l(s){e=k(s,"P",{"data-svelte-h":!0}),F(e)!=="svelte-11lpom8"&&(e.textContent=t),n=x(s),S(o.$$.fragment,s)},m(s,l){M(s,e,l),M(s,n,l),q(o,s,l),m=!0},p:vt,i(s){m\|\|(j(o.$$.fragment,s),m=!0)},o(s){E(o.$$.fragment,s),m=!1},d(s){s&&(u(e),u(n)),J(o,s)}}}function Za(i){let e,t,n,o,m,s,l,b,h,f,r,d,p,c,g,N,P,V="Cleanup when run is finished.",Y,z,Z,D,W,L,B,R='Creates a new Trackio project and returns a <a href="/docs/trackio/pr_310/en/api#trackio.Run">Run</a> object.',G,I,w,A,Q,H,ie,Dt="Logs metrics to the current run.",Qe,he,Ye,ae,fe,Mt,Se,Bt="Finishes the current run.",ze,ge,Xe,ne,be,Tt,qe,Pt="Launches the Trackio dashboard.",Ke,ve,Oe,X,_e,$t,Je,Lt=`Imports a CSV file into a Trackio project. The CSV file must contain a <code>"step"</code>
	column, may optionally contain a <code>"timestamp"</code> column, and any other columns will be
	treated as metrics. It should also include a header row with the column names.`,jt,De,At="TODO: call init() and return a Run object so that the user can continue to log metrics to it.",et,we,tt,oe,ye,It,Be,Wt=`Imports TensorFlow Events files from a directory into a Trackio project. Each
	subdirectory in the log directory will be imported as a separate run.`,at,ke,nt,re,Ce,Nt,Pe,Zt="Initializes a Table object.",ot,xe,rt,K,Me,Et,Le,Vt="Initializes an Image object.",Ut,ce,st,Te,lt,O,$e,St,Ae,Gt="Initializes a Video object.",qt,de,it,je,ct,Ge,dt;return m=new Ia({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),l=new ee({props:{title:"API Reference",local:"api-reference",headingTag:"h1"}}),h=new ee({props:{title:"Run",local:"trackio.Run",headingTag:"h2"}}),d=new te({props:{name:"class trackio.Run",anchor:"trackio.Run",parameters:[{name:"url",val:": str"},{name:"project",val:": str"},{name:"client",val:": gradio_client.client.Client \| None"},{name:"name",val:": str \| None = None"},{name:"group",val:": str \| None = None"},{name:"config",val:": dict \| None = None"},{name:"space_id",val:": str \| None = None"}],source:"https://github.com/gradio-app/trackio/blob/vr_310/trackio/run.py#L17"}}),g=new te({props:{name:"finish",anchor:"trackio.Run.finish",parameters:[],source:"https://github.com/gradio-app/trackio/blob/vr_310/trackio/run.py#L171"}}),z=new ee({props:{title:"init",local:"trackio.init",headingTag:"h2"}}),W=new te({props:{name:"trackio.init",anchor:"trackio.init",parameters:[{name:"project",val:": str"},{name:"name",val:": str \| None = None"},{name:"group",val:": str \| None = None"},{name:"space_id",val:": str \| None = None"},{name:"space_storage",val:": huggingface_hub._space_api.SpaceStorage \| None = None"},{name:"dataset_id",val:": str \| None = None"},{name:"config",val:": dict \| None = None"},{name:"resume",val:": str = 'never'"},{name:"settings",val:": typing.Any = None"},{name:"private",val:": bool \| None = None"},{name:"embed",val:": bool = True"}],parametersDescription:[{anchor:"trackio.init.project",description:`<strong>project</strong> (<code>str</code>) —
	The name of the project (can be an existing project to continue tracking or
	a new project to start tracking from scratch).`,name:"project"},{anchor:"trackio.init.name",description:`<strong>name</strong> (<code>str</code>, <em>optional</em>) —
	The name of the run (if not provided, a default name will be generated).`,name:"name"},{anchor:"trackio.init.group",description:`<strong>group</strong> (<code>str</code>, <em>optional</em>) —
	The name of the group which this run belongs to in order to help organize
	related runs together. You can toggle the entire group’s visibilitiy in the
	dashboard.`,name:"group"},{anchor:"trackio.init.space_id",description:`<strong>space_id</strong> (<code>str</code>, <em>optional</em>) —
	If provided, the project will be logged to a Hugging Face Space instead of
	a local directory. Should be a complete Space name like
	<code>"username/reponame"</code> or <code>"orgname/reponame"</code>, or just <code>"reponame"</code> in which
	case the Space will be created in the currently-logged-in Hugging Face
	user’s namespace. If the Space does not exist, it will be created. If the
	Space already exists, the project will be logged to it.`,name:"space_id"},{anchor:"trackio.init.space_storage",description:`<strong>space_storage</strong> (<a href="https://huggingface.co/docs/huggingface_hub/main/en/package_reference/space_runtime#huggingface_hub.SpaceStorage" rel="nofollow">SpaceStorage</a>, <em>optional</em>) —
	Choice of persistent storage tier.`,name:"space_storage"},{anchor:"trackio.init.dataset_id",description:`<strong>dataset_id</strong> (<code>str</code>, <em>optional</em>) —
	If a <code>space_id</code> is provided, a persistent Hugging Face Dataset will be
	created and the metrics will be synced to it every 5 minutes. Specify a
	Dataset with name like <code>"username/datasetname"</code> or <code>"orgname/datasetname"</code>,
	or <code>"datasetname"</code> (uses currently-logged-in Hugging Face user’s namespace),
	or <code>None</code> (uses the same name as the Space but with the <code>"_dataset"</code>
	suffix). If the Dataset does not exist, it will be created. If the Dataset
	already exists, the project will be appended to it.`,name:"dataset_id"},{anchor:"trackio.init.config",description:`<strong>config</strong> (<code>dict</code>, <em>optional</em>) —
	A dictionary of configuration options. Provided for compatibility with
	<code>wandb.init()</code>.`,name:"config"},{anchor:"trackio.init.resume",description:`<strong>resume</strong> (<code>str</code>, <em>optional</em>, defaults to <code>"never"</code>) —
	Controls how to handle resuming a run. Can be one of:</p>
	<ul>
	<li><code>"must"</code>: Must resume the run with the given name, raises error if run
	doesn’t exist</li>
	<li><code>"allow"</code>: Resume the run if it exists, otherwise create a new run</li>
	<li><code>"never"</code>: Never resume a run, always create a new one</li>
	</ul>`,name:"resume"},{anchor:"trackio.init.private",description:`<strong>private</strong> (<code>bool</code>, <em>optional</em>) —
	Whether to make the Space private. If None (default), the repo will be
	public unless the organization’s default is private. This value is ignored
	if the repo already exists.`,name:"private"},{anchor:"trackio.init.settings",description:`<strong>settings</strong> (<code>Any</code>, <em>optional</em>) —
	Not used. Provided for compatibility with <code>wandb.init()</code>.`,name:"settings"},{anchor:"trackio.init.embed",description:`<strong>embed</strong> (<code>bool</code>, <em>optional</em>, defaults to <code>True</code>) —
	If running inside a jupyter/Colab notebook, whether the dashboard should
	automatically be embedded in the cell when trackio.init() is called.`,name:"embed"}],source:"https://github.com/gradio-app/trackio/blob/vr_310/trackio/__init__.py#L56",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


	<p>A <a href="/docs/trackio/pr_310/en/api#trackio.Run">Run</a> object that can be used to log metrics and finish the run.</p>
	`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


	<p><code>Run</code></p>
	`}}),I=new ee({props:{title:"log",local:"trackio.log",headingTag:"h2"}}),Q=new te({props:{name:"trackio.log",anchor:"trackio.log",parameters:[{name:"metrics",val:": dict"},{name:"step",val:": int \| None = None"}],parametersDescription:[{anchor:"trackio.log.metrics",description:`<strong>metrics</strong> (<code>dict</code>) —
	A dictionary of metrics to log.`,name:"metrics"},{anchor:"trackio.log.step",description:`<strong>step</strong> (<code>int</code>, <em>optional</em>) —
	The step number. If not provided, the step will be incremented
	automatically.`,name:"step"}],source:"https://github.com/gradio-app/trackio/blob/vr_310/trackio/__init__.py#L227"}}),he=new ee({props:{title:"finish",local:"trackio.finish",headingTag:"h2"}}),fe=new te({props:{name:"trackio.finish",anchor:"trackio.finish",parameters:[],source:"https://github.com/gradio-app/trackio/blob/vr_310/trackio/__init__.py#L247"}}),ge=new ee({props:{title:"show",local:"trackio.show",headingTag:"h2"}}),be=new te({props:{name:"trackio.show",anchor:"trackio.show",parameters:[{name:"project",val:": str \| None = None"},{name:"theme",val:": str \| gradio.themes.base.ThemeClass = 'citrus'"},{name:"mcp_server",val:": bool \| None = None"}],parametersDescription:[{anchor:"trackio.show.project",description:`<strong>project</strong> (<code>str</code>, <em>optional</em>) —
	The name of the project whose runs to show. If not provided, all projects
	will be shown and the user can select one.`,name:"project"},{anchor:"trackio.show.theme",description:`<strong>theme</strong> (<code>str</code> or <code>ThemeClass</code>, <em>optional</em>, defaults to <code>"citrus"</code>) —
	A Gradio Theme to use for the dashboard instead of the default <code>"citrus"</code>,
	can be a built-in theme (e.g. <code>'soft'</code>, <code>'default'</code>), a theme from the Hub
	(e.g. <code>"gstaff/xkcd"</code>), or a custom Theme class.`,name:"theme"},{anchor:"trackio.show.mcp_server",description:`<strong>mcp_server</strong> (<code>bool</code>, <em>optional</em>) —
	If <code>True</code>, the Trackio dashboard will be set up as an MCP server and certain
	functions will be added as MCP tools. If <code>None</code> (default behavior), then the
	<code>GRADIO_MCP_SERVER</code> environment variable will be used to determine if the
	MCP server should be enabled (which is <code>"True"</code> on Hugging Face Spaces).`,name:"mcp_server"}],source:"https://github.com/gradio-app/trackio/blob/vr_310/trackio/__init__.py#L257"}}),ve=new ee({props:{title:"import_csv",local:"trackio.import_csv",headingTag:"h2"}}),_e=new te({props:{name:"trackio.import_csv",anchor:"trackio.import_csv",parameters:[{name:"csv_path",val:": str \| pathlib.Path"},{name:"project",val:": str"},{name:"name",val:": str \| None = None"},{name:"space_id",val:": str \| None = None"},{name:"dataset_id",val:": str \| None = None"},{name:"private",val:": bool \| None = None"}],parametersDescription:[{anchor:"trackio.import_csv.csv_path",description:`<strong>csv_path</strong> (<code>str</code> or <code>Path</code>) —
	The str or Path to the CSV file to import.`,name:"csv_path"},{anchor:"trackio.import_csv.project",description:`<strong>project</strong> (<code>str</code>) —
	The name of the project to import the CSV file into. Must not be an existing
	project.`,name:"project"},{anchor:"trackio.import_csv.name",description:`<strong>name</strong> (<code>str</code>, <em>optional</em>) —
	The name of the Run to import the CSV file into. If not provided, a default
	name will be generated.`,name:"name"},{anchor:"trackio.import_csv.name",description:`<strong>name</strong> (<code>str</code>, <em>optional</em>) —
	The name of the run (if not provided, a default name will be generated).`,name:"name"},{anchor:"trackio.import_csv.space_id",description:`<strong>space_id</strong> (<code>str</code>, <em>optional</em>) —
	If provided, the project will be logged to a Hugging Face Space instead of a
	local directory. Should be a complete Space name like <code>"username/reponame"</code>
	or <code>"orgname/reponame"</code>, or just <code>"reponame"</code> in which case the Space will
	be created in the currently-logged-in Hugging Face user’s namespace. If the
	Space does not exist, it will be created. If the Space already exists, the
	project will be logged to it.`,name:"space_id"},{anchor:"trackio.import_csv.dataset_id",description:`<strong>dataset_id</strong> (<code>str</code>, <em>optional</em>) —
	If provided, a persistent Hugging Face Dataset will be created and the
	metrics will be synced to it every 5 minutes. Should be a complete Dataset
	name like <code>"username/datasetname"</code> or <code>"orgname/datasetname"</code>, or just
	<code>"datasetname"</code> in which case the Dataset will be created in the
	currently-logged-in Hugging Face user’s namespace. If the Dataset does not
	exist, it will be created. If the Dataset already exists, the project will
	be appended to it. If not provided, the metrics will be logged to a local
	SQLite database, unless a <code>space_id</code> is provided, in which case a Dataset
	will be automatically created with the same name as the Space but with the
	<code>"_dataset"</code> suffix.`,name:"dataset_id"},{anchor:"trackio.import_csv.private",description:`<strong>private</strong> (<code>bool</code>, <em>optional</em>) —
	Whether to make the Space private. If None (default), the repo will be
	public unless the organization’s default is private. This value is ignored
	if the repo already exists.`,name:"private"}],source:"https://github.com/gradio-app/trackio/blob/vr_310/trackio/imports.py#L10"}}),we=new ee({props:{title:"import_tf_events",local:"trackio.import_tf_events",headingTag:"h2"}}),ye=new te({props:{name:"trackio.import_tf_events",anchor:"trackio.import_tf_events",parameters:[{name:"log_dir",val:": str \| pathlib.Path"},{name:"project",val:": str"},{name:"name",val:": str \| None = None"},{name:"space_id",val:": str \| None = None"},{name:"dataset_id",val:": str \| None = None"},{name:"private",val:": bool \| None = None"}],parametersDescription:[{anchor:"trackio.import_tf_events.log_dir",description:`<strong>log_dir</strong> (<code>str</code> or <code>Path</code>) —
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