Bump tensorflow from 2.4.1 to 2.6.4 in /doc - #44

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Bump tensorflow from 2.4.1 to 2.6.4 in /doc#44
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Bumps tensorflow from 2.4.1 to 2.6.4.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.6.4

Release 2.6.4

This releases introduces several vulnerability fixes:

TensorFlow 2.6.3

Release 2.6.3

This releases introduces several vulnerability fixes:

  • Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
  • Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
  • Fixes a heap OOB access in Dequantize (CVE-2022-21726)
  • Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
  • Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
  • Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
  • Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
  • Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
  • Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
  • Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
  • Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
  • Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.6.4

This releases introduces several vulnerability fixes:

Release 2.8.0

Major Features and Improvements

  • tf.lite:

    • Added TFLite builtin op support for the following TF ops:
      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.

  • tensorflow.experimental.tensorrt:

    • conversion_params is now deprecated inside TrtGraphConverterV2 in favor of direct arguments: max_workspace_size_bytes, precision_mode, minimum_segment_size, maximum_cached_engines, use_calibration and

... (truncated)

Commits
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
  • cb1a481 Update RELEASE.md
  • 4da550f Insert release notes place-fill
  • Additional commits viewable in compare view

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Bump tensorflow from 2.4.1 to 2.6.4 in /doc
a793c8d
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.4.1 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.4.1...v2.6.4)
---
updated-dependencies:
- dependency-name: tensorflow
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added the dependencies Pull requests that update a dependency file label May 24, 2022
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Superseded by #45.

@dependabotdependabotBot closed this May 26, 2022
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
Bump tensorflow from 2.4.1 to 2.6.4 in /doc - #44
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Bump tensorflow from 2.4.1 to 2.6.4 in /doc#44
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Bumps tensorflow from 2.4.1 to 2.6.4.
Release notes
Sourced from tensorflow's releases.
TensorFlow 2.6.4
Release 2.6.4
This releases introduces several vulnerability fixes:
TensorFlow 2.6.3
Release 2.6.3
This releases introduces several vulnerability fixes:
  • Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
  • Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
  • Fixes a heap OOB access in Dequantize (CVE-2022-21726)
  • Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
  • Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
  • Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
  • Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
  • Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
  • Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
  • Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
  • Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
  • Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)
... (truncated)
Changelog
Sourced from tensorflow's changelog.
Release 2.6.4
This releases introduces several vulnerability fixes:
Release 2.8.0
Major Features and Improvements
  • tf.lite:
    • Added TFLite builtin op support for the following TF ops:

      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types
tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.
  • tensorflow.experimental.tensorrt:
    • conversion_params is now deprecated inside TrtGraphConverterV2 in
favor of direct arguments: max_workspace_size_bytes, precision_mode,
minimum_segment_size, maximum_cached_engines, use_calibration and
... (truncated)
Commits
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
  • cb1a481 Update RELEASE.md
  • 4da550f Insert release notes place-fill
  • Additional commits viewable in compare view

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Bump tensorflow from 2.4.1 to 2.6.4 in /doc
a793c8d
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.4.1 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.4.1...v2.6.4)
---
updated-dependencies:
- dependency-name: tensorflow
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #45.
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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");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Bump tensorflow from 2.4.1 to 2.6.4 in /doc - #44
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Bump tensorflow from 2.4.1 to 2.6.4 in /doc#44
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Bumps tensorflow from 2.4.1 to 2.6.4.
Release notes
Sourced from tensorflow's releases.
TensorFlow 2.6.4
Release 2.6.4
This releases introduces several vulnerability fixes:
TensorFlow 2.6.3
Release 2.6.3
This releases introduces several vulnerability fixes:
  • Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
  • Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
  • Fixes a heap OOB access in Dequantize (CVE-2022-21726)
  • Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
  • Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
  • Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
  • Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
  • Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
  • Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
  • Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
  • Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
  • Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)
... (truncated)
Changelog
Sourced from tensorflow's changelog.
Release 2.6.4
This releases introduces several vulnerability fixes:
Release 2.8.0
Major Features and Improvements
  • tf.lite:
    • Added TFLite builtin op support for the following TF ops:

      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types
tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.
  • tensorflow.experimental.tensorrt:
    • conversion_params is now deprecated inside TrtGraphConverterV2 in
favor of direct arguments: max_workspace_size_bytes, precision_mode,
minimum_segment_size, maximum_cached_engines, use_calibration and
... (truncated)
Commits
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
  • cb1a481 Update RELEASE.md
  • 4da550f Insert release notes place-fill
  • Additional commits viewable in compare view

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Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
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You can disable automated security fix PRs for this repo from the Security Alerts page.
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Bump tensorflow from 2.4.1 to 2.6.4 in /doc
a793c8d
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.4.1 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.4.1...v2.6.4)
---
updated-dependencies:
- dependency-name: tensorflow
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #45.
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, 'i');
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Bump tensorflow from 2.4.1 to 2.6.4 in /doc - #44
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dependabot[bot] wants to merge 1 commit into
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Bump tensorflow from 2.4.1 to 2.6.4 in /doc#44
dependabot[bot] wants to merge 1 commit into
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Bumps tensorflow from 2.4.1 to 2.6.4.
Release notes
Sourced from tensorflow's releases.
TensorFlow 2.6.4
Release 2.6.4
This releases introduces several vulnerability fixes:
TensorFlow 2.6.3
Release 2.6.3
This releases introduces several vulnerability fixes:
  • Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
  • Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
  • Fixes a heap OOB access in Dequantize (CVE-2022-21726)
  • Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
  • Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
  • Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
  • Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
  • Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
  • Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
  • Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
  • Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
  • Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)
... (truncated)
Changelog
Sourced from tensorflow's changelog.
Release 2.6.4
This releases introduces several vulnerability fixes:
Release 2.8.0
Major Features and Improvements
  • tf.lite:
    • Added TFLite builtin op support for the following TF ops:

      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types
tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.
  • tensorflow.experimental.tensorrt:
    • conversion_params is now deprecated inside TrtGraphConverterV2 in
favor of direct arguments: max_workspace_size_bytes, precision_mode,
minimum_segment_size, maximum_cached_engines, use_calibration and
... (truncated)
Commits
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
  • cb1a481 Update RELEASE.md
  • 4da550f Insert release notes place-fill
  • Additional commits viewable in compare view

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Bump tensorflow from 2.4.1 to 2.6.4 in /doc
a793c8d
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.4.1 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.4.1...v2.6.4)
---
updated-dependencies:
- dependency-name: tensorflow
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #45.
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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
Bump tensorflow from 2.4.1 to 2.6.4 in /doc - #44
Closed
dependabot[bot] wants to merge 1 commit into
masterfrom 
dependabot/pip/doc/tensorflow-2.6.4
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Bump tensorflow from 2.4.1 to 2.6.4 in /doc#44
dependabot[bot] wants to merge 1 commit into
masterfrom 
dependabot/pip/doc/tensorflow-2.6.4
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Bumps tensorflow from 2.4.1 to 2.6.4.
Release notes
Sourced from tensorflow's releases.
TensorFlow 2.6.4
Release 2.6.4
This releases introduces several vulnerability fixes:
TensorFlow 2.6.3
Release 2.6.3
This releases introduces several vulnerability fixes:
  • Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
  • Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
  • Fixes a heap OOB access in Dequantize (CVE-2022-21726)
  • Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
  • Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
  • Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
  • Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
  • Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
  • Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
  • Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
  • Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
  • Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)
... (truncated)
Changelog
Sourced from tensorflow's changelog.
Release 2.6.4
This releases introduces several vulnerability fixes:
Release 2.8.0
Major Features and Improvements
  • tf.lite:
    • Added TFLite builtin op support for the following TF ops:

      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types
tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.
  • tensorflow.experimental.tensorrt:
    • conversion_params is now deprecated inside TrtGraphConverterV2 in
favor of direct arguments: max_workspace_size_bytes, precision_mode,
minimum_segment_size, maximum_cached_engines, use_calibration and
... (truncated)
Commits
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
  • cb1a481 Update RELEASE.md
  • 4da550f Insert release notes place-fill
  • Additional commits viewable in compare view

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  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
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  • @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
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  • @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language
You can disable automated security fix PRs for this repo from the Security Alerts page.
@dependabot
Bump tensorflow from 2.4.1 to 2.6.4 in /doc
a793c8d
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.4.1 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.4.1...v2.6.4)
---
updated-dependencies:
- dependency-name: tensorflow
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #45.
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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
Bump tensorflow from 2.4.1 to 2.6.4 in /doc - #44
Closed
dependabot[bot] wants to merge 1 commit into
masterfrom 
dependabot/pip/doc/tensorflow-2.6.4
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Bump tensorflow from 2.4.1 to 2.6.4 in /doc#44
dependabot[bot] wants to merge 1 commit into
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Bumps tensorflow from 2.4.1 to 2.6.4.
Release notes
Sourced from tensorflow's releases.
TensorFlow 2.6.4
Release 2.6.4
This releases introduces several vulnerability fixes:
TensorFlow 2.6.3
Release 2.6.3
This releases introduces several vulnerability fixes:
  • Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
  • Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
  • Fixes a heap OOB access in Dequantize (CVE-2022-21726)
  • Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
  • Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
  • Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
  • Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
  • Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
  • Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
  • Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
  • Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
  • Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)
... (truncated)
Changelog
Sourced from tensorflow's changelog.
Release 2.6.4
This releases introduces several vulnerability fixes:
Release 2.8.0
Major Features and Improvements
  • tf.lite:
    • Added TFLite builtin op support for the following TF ops:

      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types
tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.
  • tensorflow.experimental.tensorrt:
    • conversion_params is now deprecated inside TrtGraphConverterV2 in
favor of direct arguments: max_workspace_size_bytes, precision_mode,
minimum_segment_size, maximum_cached_engines, use_calibration and
... (truncated)
Commits
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
  • cb1a481 Update RELEASE.md
  • 4da550f Insert release notes place-fill
  • Additional commits viewable in compare view

Dependabot compatibility score
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
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  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
  • @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
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You can disable automated security fix PRs for this repo from the Security Alerts page.
@dependabot
Bump tensorflow from 2.4.1 to 2.6.4 in /doc
a793c8d
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.4.1 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.4.1...v2.6.4)
---
updated-dependencies:
- dependency-name: tensorflow
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #45.
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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
Bump tensorflow from 2.4.1 to 2.6.4 in /doc - #44
Closed
dependabot[bot] wants to merge 1 commit into
masterfrom 
dependabot/pip/doc/tensorflow-2.6.4
Closed
Bump tensorflow from 2.4.1 to 2.6.4 in /doc#44
dependabot[bot] wants to merge 1 commit into
masterfrom 
dependabot/pip/doc/tensorflow-2.6.4
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Bumps tensorflow from 2.4.1 to 2.6.4.
Release notes
Sourced from tensorflow's releases.
TensorFlow 2.6.4
Release 2.6.4
This releases introduces several vulnerability fixes:
TensorFlow 2.6.3
Release 2.6.3
This releases introduces several vulnerability fixes:
  • Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
  • Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
  • Fixes a heap OOB access in Dequantize (CVE-2022-21726)
  • Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
  • Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
  • Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
  • Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
  • Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
  • Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
  • Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
  • Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
  • Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)
... (truncated)
Changelog
Sourced from tensorflow's changelog.
Release 2.6.4
This releases introduces several vulnerability fixes:
Release 2.8.0
Major Features and Improvements
  • tf.lite:
    • Added TFLite builtin op support for the following TF ops:

      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types
tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.
  • tensorflow.experimental.tensorrt:
    • conversion_params is now deprecated inside TrtGraphConverterV2 in
favor of direct arguments: max_workspace_size_bytes, precision_mode,
minimum_segment_size, maximum_cached_engines, use_calibration and
... (truncated)
Commits
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
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Bump tensorflow from 2.4.1 to 2.6.4 in /doc
a793c8d
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.4.1 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.4.1...v2.6.4)
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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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Bump tensorflow from 2.4.1 to 2.6.4 in /doc - #44
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Bump tensorflow from 2.4.1 to 2.6.4 in /doc#44
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Bumps tensorflow from 2.4.1 to 2.6.4.
Release notes
Sourced from tensorflow's releases.
TensorFlow 2.6.4
Release 2.6.4
This releases introduces several vulnerability fixes:
TensorFlow 2.6.3
Release 2.6.3
This releases introduces several vulnerability fixes:
  • Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
  • Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
  • Fixes a heap OOB access in Dequantize (CVE-2022-21726)
  • Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
  • Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
  • Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
  • Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
  • Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
  • Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
  • Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
  • Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
  • Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)
... (truncated)
Changelog
Sourced from tensorflow's changelog.
Release 2.6.4
This releases introduces several vulnerability fixes:
Release 2.8.0
Major Features and Improvements
  • tf.lite:
    • Added TFLite builtin op support for the following TF ops:

      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types
tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.
  • tensorflow.experimental.tensorrt:
    • conversion_params is now deprecated inside TrtGraphConverterV2 in
favor of direct arguments: max_workspace_size_bytes, precision_mode,
minimum_segment_size, maximum_cached_engines, use_calibration and
... (truncated)
Commits
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
  • cb1a481 Update RELEASE.md
  • 4da550f Insert release notes place-fill
  • Additional commits viewable in compare view

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Bump tensorflow from 2.4.1 to 2.6.4 in /doc
a793c8d
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.4.1 to 2.6.4.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.4.1...v2.6.4)
---
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- dependency-name: tensorflow
dependency-type: direct:production
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Superseded by #45.
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