') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); Update Docker images with TF 2.6 and pyxir update by leandron · Pull Request #10889 · apache/tvm · GitHub
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Update Docker images with TF 2.6 and pyxir update - #10889

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areusch merged 1 commit into
apache:mainfrom
leandron:update-docker-20220404-055909-fcdf4636d
Apr 4, 2022
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Update Docker images with TF 2.6 and pyxir update#10889
areusch merged 1 commit into
apache:mainfrom
leandron:update-docker-20220404-055909-fcdf4636d

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@leandron

@leandronleandron commented Apr 4, 2022•
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Updates docker image with tlcpackstaging 20220404-055909-fcdf4636d to update TensorFlow to 2.6 and solve Vitis-AI build fixes caused by an allocation error from TensorFlow 2.6.

Also updates Keras, h5py and pyxir.

Validation results with this images: https://ci.tlcpack.ai/blue/organizations/jenkins/docker-images-ci%2Fdocker-image-run-tests/detail/docker-image-run-tests/82/pipeline

ci_hexagon is intentionally left out of this update due to tlc-pack/tlcpack#103 (cc @mehrdadh)

cc @driazati@areusch@manupa-arm@Mousius@jtuyls

Closes#10696

@leandron
leandronforce-pushed the update-docker-20220404-055909-fcdf4636d branch from 74bce88 to db1505bCompareApril 4, 2022 11:22
@leandron
Update Docker image with tag 20220404-055909-fcdf4636d
e5381b9
Updates docker image with tlcpackstaging 20220404-055909-fcdf4636d
to update TensorFlow to 2.6 and solve Vitis-AI build fixes caused by
an allocation error from TensorFlow 2.6.
Also updates Keras, h5py and pyxir.
@leandron
leandronforce-pushed the update-docker-20220404-055909-fcdf4636d branch from db1505b to e5381b9CompareApril 4, 2022 13:25
@areusch
areusch merged commit c274470 into apache:mainApr 4, 2022
@masahimasahi mentioned this pull request Apr 4, 2022
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@lhutton1lhutton1 mentioned this pull request Apr 5, 2022
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@MousiusMousius mentioned this pull request Apr 6, 2022
Closed
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pfk-beta pushed a commit to pfk-beta/tvm that referenced this pull request Apr 11, 2022
@leandronpfk-beta
Update Docker image with tag 20220404-055909-fcdf4636d (apache#10889)
1c65e3a
Updates docker image with tlcpackstaging 20220404-055909-fcdf4636d
to update TensorFlow to 2.6 and solve Vitis-AI build fixes caused by
an allocation error from TensorFlow 2.6.
Also updates Keras, h5py and pyxir.
mehrdadh pushed a commit to mehrdadh/tvm that referenced this pull request Apr 11, 2022
@leandron@mehrdadh
Update Docker image with tag 20220404-055909-fcdf4636d (apache#10889)
610a054
Updates docker image with tlcpackstaging 20220404-055909-fcdf4636d
to update TensorFlow to 2.6 and solve Vitis-AI build fixes caused by
an allocation error from TensorFlow 2.6.
Also updates Keras, h5py and pyxir.
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@areuschareuschareusch approved these changes
@MousiusMousiusAwaiting requested review from Mousius
@manupakmanupakAwaiting requested review from manupak

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task_rust.sh and task_cpp_unittest.sh fail with updated Docker images when USE_VITIS_AI ON

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@leandron@areusch