breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes - #1531

Merged
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving
May 29, 2020
Merged

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes#1531
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving

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@laurenyulaurenyu commented May 28, 2020

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Issue #, if available:
#1462

Description of changes:
This change also removes the associated serialization/deserialization code used by TensorFlowPredictor and the locally copied TFS APIs.

Due to sagemaker.tensorflow.serving.Model not accepting model_server_workers, I ended up having to keep the TF-specific transformer() implementation, but I'd accidentally deleted the unit tests in #1510 (must've messed up my git branches), so that's why those are getting readded here.

I'll move the sagemaker.tensorflow.serving classes to match the old class names/paths but I didn't want to do it in this PR in case it made the diff look unreadable.

Testing done:

  • tox -e pylint,flake8,black-format --parallel all
  • pytest tests/unit/test_tf*
  • pytest tests/integ/test_tf*

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

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  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

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looks good to me

@laurenyu
laurenyu merged commit c65c80f into aws:zweiMay 29, 2020
@laurenyu
laurenyu deleted the tf-remove-legacy-serving branch May 29, 2020 17:11
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…es (aws#1531)
This change also removes the associated serialization/deserialization code
used by TensorFlowPredictor and the locally copied TFS APIs.
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
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var __re = new RegExp('^' + "github\\.com" + '
Skip to content

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes - #1531

Merged
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving
May 29, 2020
Merged

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes#1531
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving

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@laurenyu

@laurenyulaurenyu commented May 28, 2020

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Issue #, if available:
#1462

Description of changes:
This change also removes the associated serialization/deserialization code used by TensorFlowPredictor and the locally copied TFS APIs.

Due to sagemaker.tensorflow.serving.Model not accepting model_server_workers, I ended up having to keep the TF-specific transformer() implementation, but I'd accidentally deleted the unit tests in #1510 (must've messed up my git branches), so that's why those are getting readded here.

I'll move the sagemaker.tensorflow.serving classes to match the old class names/paths but I didn't want to do it in this PR in case it made the diff look unreadable.

Testing done:

  • tox -e pylint,flake8,black-format --parallel all
  • pytest tests/unit/test_tf*
  • pytest tests/integ/test_tf*

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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looks good to me

@laurenyu
laurenyu merged commit c65c80f into aws:zweiMay 29, 2020
@laurenyu
laurenyu deleted the tf-remove-legacy-serving branch May 29, 2020 17:11
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…es (aws#1531)
This change also removes the associated serialization/deserialization code
used by TensorFlowPredictor and the locally copied TFS APIs.
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes - #1531

Merged
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving
May 29, 2020
Merged

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes#1531
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving

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@laurenyu

@laurenyulaurenyu commented May 28, 2020

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Issue #, if available:
#1462

Description of changes:
This change also removes the associated serialization/deserialization code used by TensorFlowPredictor and the locally copied TFS APIs.

Due to sagemaker.tensorflow.serving.Model not accepting model_server_workers, I ended up having to keep the TF-specific transformer() implementation, but I'd accidentally deleted the unit tests in #1510 (must've messed up my git branches), so that's why those are getting readded here.

I'll move the sagemaker.tensorflow.serving classes to match the old class names/paths but I didn't want to do it in this PR in case it made the diff look unreadable.

Testing done:

  • tox -e pylint,flake8,black-format --parallel all
  • pytest tests/unit/test_tf*
  • pytest tests/integ/test_tf*

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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looks good to me

@laurenyu
laurenyu merged commit c65c80f into aws:zweiMay 29, 2020
@laurenyu
laurenyu deleted the tf-remove-legacy-serving branch May 29, 2020 17:11
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…es (aws#1531)
This change also removes the associated serialization/deserialization code
used by TensorFlowPredictor and the locally copied TFS APIs.
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes - #1531

Merged
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving
May 29, 2020
Merged

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes#1531
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving

Conversation

@laurenyu

@laurenyulaurenyu commented May 28, 2020

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Issue #, if available:
#1462

Description of changes:
This change also removes the associated serialization/deserialization code used by TensorFlowPredictor and the locally copied TFS APIs.

Due to sagemaker.tensorflow.serving.Model not accepting model_server_workers, I ended up having to keep the TF-specific transformer() implementation, but I'd accidentally deleted the unit tests in #1510 (must've messed up my git branches), so that's why those are getting readded here.

I'll move the sagemaker.tensorflow.serving classes to match the old class names/paths but I didn't want to do it in this PR in case it made the diff look unreadable.

Testing done:

  • tox -e pylint,flake8,black-format --parallel all
  • pytest tests/unit/test_tf*
  • pytest tests/integ/test_tf*

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

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  • I used the commit message format described in CONTRIBUTING
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looks good to me

@laurenyu
laurenyu merged commit c65c80f into aws:zweiMay 29, 2020
@laurenyu
laurenyu deleted the tf-remove-legacy-serving branch May 29, 2020 17:11
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…es (aws#1531)
This change also removes the associated serialization/deserialization code
used by TensorFlowPredictor and the locally copied TFS APIs.
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes - #1531

Merged
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving
May 29, 2020
Merged

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes#1531
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving

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@laurenyu

@laurenyulaurenyu commented May 28, 2020

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Issue #, if available:
#1462

Description of changes:
This change also removes the associated serialization/deserialization code used by TensorFlowPredictor and the locally copied TFS APIs.

Due to sagemaker.tensorflow.serving.Model not accepting model_server_workers, I ended up having to keep the TF-specific transformer() implementation, but I'd accidentally deleted the unit tests in #1510 (must've messed up my git branches), so that's why those are getting readded here.

I'll move the sagemaker.tensorflow.serving classes to match the old class names/paths but I didn't want to do it in this PR in case it made the diff look unreadable.

Testing done:

  • tox -e pylint,flake8,black-format --parallel all
  • pytest tests/unit/test_tf*
  • pytest tests/integ/test_tf*

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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looks good to me

@laurenyu
laurenyu merged commit c65c80f into aws:zweiMay 29, 2020
@laurenyu
laurenyu deleted the tf-remove-legacy-serving branch May 29, 2020 17:11
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…es (aws#1531)
This change also removes the associated serialization/deserialization code
used by TensorFlowPredictor and the locally copied TFS APIs.
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes - #1531

Merged
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving
May 29, 2020
Merged

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes#1531
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving

Conversation

@laurenyu

@laurenyulaurenyu commented May 28, 2020

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Issue #, if available:
#1462

Description of changes:
This change also removes the associated serialization/deserialization code used by TensorFlowPredictor and the locally copied TFS APIs.

Due to sagemaker.tensorflow.serving.Model not accepting model_server_workers, I ended up having to keep the TF-specific transformer() implementation, but I'd accidentally deleted the unit tests in #1510 (must've messed up my git branches), so that's why those are getting readded here.

I'll move the sagemaker.tensorflow.serving classes to match the old class names/paths but I didn't want to do it in this PR in case it made the diff look unreadable.

Testing done:

  • tox -e pylint,flake8,black-format --parallel all
  • pytest tests/unit/test_tf*
  • pytest tests/integ/test_tf*

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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looks good to me

@laurenyu
laurenyu merged commit c65c80f into aws:zweiMay 29, 2020
@laurenyu
laurenyu deleted the tf-remove-legacy-serving branch May 29, 2020 17:11
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…es (aws#1531)
This change also removes the associated serialization/deserialization code
used by TensorFlowPredictor and the locally copied TFS APIs.
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes - #1531

Merged
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving
May 29, 2020
Merged

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes#1531
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving

Conversation

@laurenyu

@laurenyulaurenyu commented May 28, 2020

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Issue #, if available:
#1462

Description of changes:
This change also removes the associated serialization/deserialization code used by TensorFlowPredictor and the locally copied TFS APIs.

Due to sagemaker.tensorflow.serving.Model not accepting model_server_workers, I ended up having to keep the TF-specific transformer() implementation, but I'd accidentally deleted the unit tests in #1510 (must've messed up my git branches), so that's why those are getting readded here.

I'll move the sagemaker.tensorflow.serving classes to match the old class names/paths but I didn't want to do it in this PR in case it made the diff look unreadable.

Testing done:

  • tox -e pylint,flake8,black-format --parallel all
  • pytest tests/unit/test_tf*
  • pytest tests/integ/test_tf*

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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looks good to me

@laurenyu
laurenyu merged commit c65c80f into aws:zweiMay 29, 2020
@laurenyu
laurenyu deleted the tf-remove-legacy-serving branch May 29, 2020 17:11
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…es (aws#1531)
This change also removes the associated serialization/deserialization code
used by TensorFlowPredictor and the locally copied TFS APIs.
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes - #1531

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laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving
May 29, 2020
Merged

breaking: remove legacy TensorFlowModel and TensorFlowPredictor classes#1531
laurenyu merged 7 commits into
aws:zweifrom
laurenyu:tf-remove-legacy-serving

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@laurenyulaurenyu commented May 28, 2020

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Issue #, if available:
#1462

Description of changes:
This change also removes the associated serialization/deserialization code used by TensorFlowPredictor and the locally copied TFS APIs.

Due to sagemaker.tensorflow.serving.Model not accepting model_server_workers, I ended up having to keep the TF-specific transformer() implementation, but I'd accidentally deleted the unit tests in #1510 (must've messed up my git branches), so that's why those are getting readded here.

I'll move the sagemaker.tensorflow.serving classes to match the old class names/paths but I didn't want to do it in this PR in case it made the diff look unreadable.

Testing done:

  • tox -e pylint,flake8,black-format --parallel all
  • pytest tests/unit/test_tf*
  • pytest tests/integ/test_tf*

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looks good to me

@laurenyu
laurenyu merged commit c65c80f into aws:zweiMay 29, 2020
@laurenyu
laurenyu deleted the tf-remove-legacy-serving branch May 29, 2020 17:11
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…es (aws#1531)
This change also removes the associated serialization/deserialization code
used by TensorFlowPredictor and the locally copied TFS APIs.
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