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Designing our very own ctf challenge!

Runefeather/aiproject-inception 0

Inception net for AI project 2017

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MIT 6.036 Machine Learning Spring 2016

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PR opened Runefeather/aiproject-inception

Bump lxml from 3.8.0 to 4.6.2

Bumps lxml from 3.8.0 to 4.6.2. <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/lxml/lxml/blob/master/CHANGES.txt">lxml's changelog</a>.</em></p> <blockquote> <h1>4.6.2 (2020-11-26)</h1> <h2>Bugs fixed</h2> <ul> <li>A vulnerability (CVE-2020-27783) was discovered in the HTML Cleaner by Yaniv Nizry, which allowed JavaScript to pass through. The cleaner now removes more sneaky "style" content.</li> </ul> <h1>4.6.1 (2020-10-18)</h1> <h2>Bugs fixed</h2> <ul> <li>A vulnerability was discovered in the HTML Cleaner by Yaniv Nizry, which allowed JavaScript to pass through. The cleaner now removes more sneaky "style" content.</li> </ul> <h1>4.6.0 (2020-10-17)</h1> <h2>Features added</h2> <ul> <li> <p>GH#310: <code>lxml.html.InputGetter</code> supports <code>len()</code> to count the number of input fields. Patch by Aidan Woolley.</p> </li> <li> <p><code>lxml.html.InputGetter</code> has a new <code>.items()</code> method to ease processing all input fields.</p> </li> <li> <p><code>lxml.html.InputGetter.keys()</code> now returns the field names in document order.</p> </li> <li> <p><a href="https://github-redirect.dependabot.com/lxml/lxml/issues/309">GH-309</a>: The API documentation is now generated using <code>sphinx-apidoc</code>. Patch by Chris Mayo.</p> </li> </ul> <h2>Bugs fixed</h2> <ul> <li> <p>LP#1869455: C14N 2.0 serialisation failed for unprefixed attributes when a default namespace was defined.</p> </li> <li> <p><code>TreeBuilder.close()</code> raised <code>AssertionError</code> in some error cases where it should have raised <code>XMLSyntaxError</code>. It now raises a combined exception to keep up backwards compatibility, while switching to <code>XMLSyntaxError</code> as an interface.</p> </li> </ul> <p>4.5.2 (2020-07-09)</p> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/lxml/lxml/commit/4cb57362deb23bca0f70f41ab1efa13390fcdbb1"><code>4cb5736</code></a> Work around Py2's lack of "re.ASCII".</li> <li><a href="https://github.com/lxml/lxml/commit/c30106ff2648cdafe7857654e9606c491b1acf4d"><code>c30106f</code></a> Prepare release of 4.6.2.</li> <li><a href="https://github.com/lxml/lxml/commit/a105ab8dc262ec6735977c25c13f0bdfcdec72a7"><code>a105ab8</code></a> Prevent combinations of <math/svg> and <style> to sneak JavaScript through th...</li> <li><a href="https://github.com/lxml/lxml/commit/c053dc159c7f0a6a98922c937a0baede7ce7af9d"><code>c053dc1</code></a> Add a recipe for a look-ahead generator to allow modifications during tree it...</li> <li><a href="https://github.com/lxml/lxml/commit/b083124281d824eb861ff58e7276a5c1f1d8c18d"><code>b083124</code></a> lxml actually works in Py3.9.</li> <li><a href="https://github.com/lxml/lxml/commit/0f80590d7ebe62c61d2bdf2a220a093821dcbab8"><code>0f80590</code></a> lxml actually works in Py3.9.</li> <li><a href="https://github.com/lxml/lxml/commit/fd8893ccb538e95c5acb2a2b47f0e87003de5b0d"><code>fd8893c</code></a> Add a doc note that the .find() methods are usually faster than one might exp...</li> <li><a href="https://github.com/lxml/lxml/commit/eb6df27fc265cea4462f966282a701acdad5d167"><code>eb6df27</code></a> Update release version on homepage.</li> <li><a href="https://github.com/lxml/lxml/commit/69b5c9bd575800f80a6515aeef6421f33db0294d"><code>69b5c9b</code></a> Automate the build artefact downloading from github and appveyor.</li> <li><a href="https://github.com/lxml/lxml/commit/61432a8489657744ed32367ed9fb17fafe405d8e"><code>61432a8</code></a> Prepare release of lxml 4.6.1.</li> <li>Additional commits viewable in <a href="https://github.com/lxml/lxml/compare/lxml-3.8.0...lxml-4.6.2">compare view</a></li> </ul> </details> <br />

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PR closed Runefeather/aiproject-inception

Bump tensorflow from 1.1.0 to 1.15.4 dependencies

Bumps tensorflow from 1.1.0 to 1.15.4. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/tensorflow/tensorflow/releases">tensorflow's releases</a>.</em></p> <blockquote> <h2>TensorFlow 1.15.4</h2> <h1>Release 1.15.4</h1> <h2>Bug Fixes and Other Changes</h2> <ul> <li>Fixes an undefined behavior causing a segfault in <code>tf.raw_ops.Switch</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15190">CVE-2020-15190</a>)</li> <li>Fixes three vulnerabilities in conversion to DLPack format (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15191">CVE-2020-15191</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15192">CVE-2020-15192</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15193">CVE-2020-15193</a>)</li> <li>Fixes two vulnerabilities in <code>SparseFillEmptyRowsGrad</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15194">CVE-2020-15194</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15195">CVE-2020-15195</a>)</li> <li>Fixes an integer truncation vulnerability in code using the work sharder API (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15202">CVE-2020-15202</a>)</li> <li>Fixes a format string vulnerability in <code>tf.strings.as_string</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15203">CVE-2020-15203</a>)</li> <li>Fixes segfault raised by calling session-only ops in eager mode (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15204">CVE-2020-15204</a>)</li> <li>Fixes data leak and potential ASLR violation from <code>tf.raw_ops.StringNGrams</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15205">CVE-2020-15205</a>)</li> <li>Fixes segfaults caused by incomplete <code>SavedModel</code> validation (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15206">CVE-2020-15206</a>)</li> <li>Fixes a data corruption due to a bug in negative indexing support in TFLite (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15207">CVE-2020-15207</a>)</li> <li>Fixes a data corruption due to dimension mismatch in TFLite (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15208">CVE-2020-15208</a>)</li> <li>Fixes several vulnerabilities in TFLite saved model format (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209">CVE-2020-15209</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15210">CVE-2020-15210</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15211">CVE-2020-15211</a>)</li> <li>Updates <code>sqlite3</code> to <code>3.33.00</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-9327">CVE-2020-9327</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-11655">CVE-2020-11655</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-11656">CVE-2020-11656</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13434">CVE-2020-13434</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13435">CVE-2020-13435</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13630">CVE-2020-13630</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13631">CVE-2020-13631</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13871">CVE-2020-13871</a>, and <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15358">CVE-2020-15358</a>.</li> <li>Fixes <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/41630">#41630</a> by including <code>max_seq_length</code> in CuDNN descriptor cache key</li> <li>Pins <code>numpy</code> to 1.18.5 to prevent ABI breakage when compiling code that uses both NumPy and TensorFlow headers.</li> </ul> <h2>TensorFlow 1.15.3</h2> <h2>Bug Fixes and Other Changes</h2> <ul> <li>Updates <code>sqlite3</code> to <code>3.31.01</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-19880">CVE-2019-19880</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-19244">CVE-2019-19244</a> and <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-19645">CVE-2019-19645</a></li> <li>Updates <code>curl</code> to <code>7.69.1</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-15601">CVE-2019-15601</a></li> <li>Updates <code>libjpeg-turbo</code> to <code>2.0.4</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-19664">CVE-2018-19664</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-20330">CVE-2018-20330</a> and <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-13960">CVE-2019-13960</a></li> <li>Updates Apache Spark to <code>2.4.5</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-10099">CVE-2019-10099</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-17190">CVE-2018-17190</a> and <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-11770">CVE-2018-11770</a></li> </ul> <h2>TensorFlow 1.15.2</h2> <h1>Release 1.15.2</h1> <p>Note that this release no longer has a single pip package for GPU and CPU. Please see <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/36347">#36347</a> for history and details</p> <h2>Bug Fixes and Other Changes</h2> <ul> <li>Fixes a security vulnerability where converting a Python string to a <code>tf.float16</code> value produces a segmentation fault (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-5215">CVE-2020-5215</a>)</li> <li>Updates <code>curl</code> to <code>7.66.0</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-5482">CVE-2019-5482</a> and <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-5481">CVE-2019-5481</a></li> <li>Updates <code>sqlite3</code> to <code>3.30.01</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-19646">CVE-2019-19646</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-19645">CVE-2019-19645</a> and <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-16168">CVE-2019-16168</a></li> </ul> <h2>TensorFlow 1.15.0</h2> <h1>Release 1.15.0</h1> <p>This is the last 1.x release for TensorFlow. We do not expect to update the 1.x branch with features, although we will issue patch releases to fix vulnerabilities for at least one year.</p> <h2>Major Features and Improvements</h2> <ul> <li>As <a href="https://groups.google.com/a/tensorflow.org/forum/#!topic/developers/iRCt5m4qUz0">announced</a>, <code>tensorflow</code> pip package will by default include GPU support (same as <code>tensorflow-gpu</code> now) for the platforms we currently have GPU support (Linux and Windows). It will work on machines with and without Nvidia GPUs. <code>tensorflow-gpu</code> will still be available, and CPU-only packages can be downloaded at <code>tensorflow-cpu</code> for users who are concerned about package size.</li> <li>TensorFlow 1.15 contains a complete implementation of the 2.0 API in its <code>compat.v2</code> module. It contains a copy of the 1.15 main module (without <code>contrib</code>) in the <code>compat.v1</code> module. TensorFlow 1.15 is able to emulate 2.0 behavior using the <code>enable_v2_behavior()</code> function. This enables writing forward compatible code: by explicitly importing either <code>tensorflow.compat.v1</code> or <code>tensorflow.compat.v2</code>, you can ensure that your code works without modifications against an installation of 1.15 or 2.0.</li> <li><code>EagerTensor</code> now supports numpy buffer interface for tensors.</li> <li>Add toggles <code>tf.enable_control_flow_v2()</code> and <code>tf.disable_control_flow_v2()</code> for enabling/disabling v2 control flow.</li> <li>Enable v2 control flow as part of <code>tf.enable_v2_behavior()</code> and <code>TF2_BEHAVIOR=1</code>.</li> <li>AutoGraph translates Python control flow into TensorFlow expressions, allowing users to write regular Python inside <code>tf.function</code>-decorated functions. AutoGraph is also applied in functions used with <code>tf.data</code>, <code>tf.distribute</code> and <code>tf.keras</code> APIS.</li> <li>Adds <code>enable_tensor_equality()</code>, which switches the behavior such that: <ul> <li>Tensors are no longer hashable.</li> </ul> </li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md">tensorflow's changelog</a>.</em></p> <blockquote> <h1>Release 1.15.4</h1> <h2>Bug Fixes and Other Changes</h2> <ul> <li>Fixes an undefined behavior causing a segfault in <code>tf.raw_ops.Switch</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15190">CVE-2020-15190</a>)</li> <li>Fixes three vulnerabilities in conversion to DLPack format (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15191">CVE-2020-15191</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15192">CVE-2020-15192</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15193">CVE-2020-15193</a>)</li> <li>Fixes two vulnerabilities in <code>SparseFillEmptyRowsGrad</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15194">CVE-2020-15194</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15195">CVE-2020-15195</a>)</li> <li>Fixes an integer truncation vulnerability in code using the work sharder API (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15202">CVE-2020-15202</a>)</li> <li>Fixes a format string vulnerability in <code>tf.strings.as_string</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15203">CVE-2020-15203</a>)</li> <li>Fixes segfault raised by calling session-only ops in eager mode (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15204">CVE-2020-15204</a>)</li> <li>Fixes data leak and potential ASLR violation from <code>tf.raw_ops.StringNGrams</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15205">CVE-2020-15205</a>)</li> <li>Fixes segfaults caused by incomplete <code>SavedModel</code> validation (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15206">CVE-2020-15206</a>)</li> <li>Fixes a data corruption due to a bug in negative indexing support in TFLite (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15207">CVE-2020-15207</a>)</li> <li>Fixes a data corruption due to dimension mismatch in TFLite (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15208">CVE-2020-15208</a>)</li> <li>Fixes several vulnerabilities in TFLite saved model format (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209">CVE-2020-15209</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15210">CVE-2020-15210</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15211">CVE-2020-15211</a>)</li> <li>Updates <code>sqlite3</code> to <code>3.33.00</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-9327">CVE-2020-9327</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-11655">CVE-2020-11655</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-11656">CVE-2020-11656</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13434">CVE-2020-13434</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13435">CVE-2020-13435</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13630">CVE-2020-13630</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13631">CVE-2020-13631</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13871">CVE-2020-13871</a>, and <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15358">CVE-2020-15358</a>.</li> <li>Fixes <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/41630">#41630</a> by including <code>max_seq_length</code> in CuDNN descriptor cache key</li> <li>Pins <code>numpy</code> to 1.18.5 to prevent ABI breakage when compiling code that uses both NumPy and TensorFlow headers.</li> </ul> <h1>Release 2.3.0</h1> <h2>Major Features and Improvements</h2> <ul> <li><code>tf.data</code> adds two new mechanisms to solve input pipeline bottlenecks and save resources:</li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/tensorflow/tensorflow/commit/df8c55ce12b5cfc6f29b01889f7773911a75e6ef"><code>df8c55c</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43442">#43442</a> from tensorflow-jenkins/version-numbers-1.15.4-31571</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/0e8cbcb0b1756de4afda8677add8a55355720ab7"><code>0e8cbcb</code></a> Update version numbers to 1.15.4</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/5b65bf202a00f558784e61b7dba5063195cce0f5"><code>5b65bf2</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43437">#43437</a> from tensorflow-jenkins/relnotes-1.15.4-10691</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/814e8d83f5966af55168bc1141dc8ba68561556f"><code>814e8d8</code></a> Update RELEASE.md</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/757085e3e62197ab5ad6a10c667aae08a8929556"><code>757085e</code></a> Insert release notes place-fill</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/e99e53dda53644e49f4b8b4ec16ef92f6399fc3b"><code>e99e53d</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43410">#43410</a> from tensorflow/mm-fix-1.15</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/bad36df000e97cfe0a271e08778a81db4ce8834a"><code>bad36df</code></a> Add missing import</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/f3f1835aed4ab1874c0891c487cd6d0340fed67b"><code>f3f1835</code></a> No <code>disable_tfrt</code> present on this branch</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/7ef5c62a21f2c03483c21566dd6c048218dced26"><code>7ef5c62</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43406">#43406</a> from tensorflow/mihaimaruseac-patch-1</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/abbf34a5885400f81620df23d9da70f30630e699"><code>abbf34a</code></a> Remove import that is not needed</li> <li>Additional commits viewable in <a href="https://github.com/tensorflow/tensorflow/compare/v1.1.0...v1.15.4">compare view</a></li> </ul> </details> <br />

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pull request commentRunefeather/aiproject-inception

Bump tensorflow from 1.1.0 to 1.15.4

Superseded by #5.

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PR opened Runefeather/aiproject-inception

Bump tensorflow from 1.1.0 to 2.3.1

Bumps tensorflow from 1.1.0 to 2.3.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/tensorflow/tensorflow/releases">tensorflow's releases</a>.</em></p> <blockquote> <h2>TensorFlow 2.3.1</h2> <h1>Release 2.3.1</h1> <h2>Bug Fixes and Other Changes</h2> <ul> <li>Fixes an undefined behavior causing a segfault in <code>tf.raw_ops.Switch</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15190">CVE-2020-15190</a>)</li> <li>Fixes three vulnerabilities in conversion to DLPack format (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15191">CVE-2020-15191</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15192">CVE-2020-15192</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15193">CVE-2020-15193</a>)</li> <li>Fixes two vulnerabilities in <code>SparseFillEmptyRowsGrad</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15194">CVE-2020-15194</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15195">CVE-2020-15195</a>)</li> <li>Fixes several vulnerabilities in <code>RaggedCountSparseOutput</code> and <code>SparseCountSparseOutput</code> operations (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15196">CVE-2020-15196</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15197">CVE-2020-15197</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15198">CVE-2020-15198</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15199">CVE-2020-15199</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15200">CVE-2020-15200</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15201">CVE-2020-15201</a>)</li> <li>Fixes an integer truncation vulnerability in code using the work sharder API (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15202">CVE-2020-15202</a>)</li> <li>Fixes a format string vulnerability in <code>tf.strings.as_string</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15203">CVE-2020-15203</a>)</li> <li>Fixes segfault raised by calling session-only ops in eager mode (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15204">CVE-2020-15204</a>)</li> <li>Fixes data leak and potential ASLR violation from <code>tf.raw_ops.StringNGrams</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15205">CVE-2020-15205</a>)</li> <li>Fixes segfaults caused by incomplete <code>SavedModel</code> validation (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15206">CVE-2020-15206</a>)</li> <li>Fixes a data corruption due to a bug in negative indexing support in TFLite (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15207">CVE-2020-15207</a>)</li> <li>Fixes a data corruption due to dimension mismatch in TFLite (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15208">CVE-2020-15208</a>)</li> <li>Fixes several vulnerabilities in TFLite saved model format (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209">CVE-2020-15209</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15210">CVE-2020-15210</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15211">CVE-2020-15211</a>)</li> <li>Fixes several vulnerabilities in TFLite implementation of segment sum (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15212">CVE-2020-15212</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15213">CVE-2020-15213</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15214">CVE-2020-15214</a>)</li> <li>Updates <code>sqlite3</code> to <code>3.33.00</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15358">CVE-2020-15358</a>.</li> <li>Fixes deprecated usage of <code>collections</code> API</li> <li>Removes <code>scipy</code> dependency from <code>setup.py</code> since TensorFlow does not need it to install the pip package</li> </ul> <h2>TensorFlow 2.3.0</h2> <h1>Release 2.3.0</h1> <h2>Major Features and Improvements</h2> <ul> <li><code>tf.data</code> adds two new mechanisms to solve input pipeline bottlenecks and save resources: <ul> <li><a href="https://www.tensorflow.org/api_docs/python/tf/data/experimental/snapshot">snapshot</a></li> <li><a href="https://www.tensorflow.org/api_docs/python/tf/data/experimental/service">tf.data service</a>.</li> </ul> </li> </ul> <p>In addition checkout the detailed <a href="https://www.tensorflow.org/guide/data_performance_analysis">guide</a> for analyzing input pipeline performance with TF Profiler.</p> <ul> <li> <p><a href="https://www.tensorflow.org/api_docs/python/tf/distribute/TPUStrategy"><code>tf.distribute.TPUStrategy</code></a> is now a stable API and no longer considered experimental for TensorFlow. (earlier <code>tf.distribute.experimental.TPUStrategy</code>).</p> </li> <li> <p><a href="https://www.tensorflow.org/guide/profiler">TF Profiler</a> introduces two new tools: a memory profiler to visualize your model’s memory usage over time and a <a href="https://www.tensorflow.org/guide/profiler#events">python tracer</a> which allows you to trace python function calls in your model. Usability improvements include better diagnostic messages and <a href="https://tensorflow.org/guide/profiler#collect_performance_data">profile options</a> to customize the host and device trace verbosity level.</p> </li> <li> <p>Introduces experimental support for Keras Preprocessing Layers API (<a href="https://www.tensorflow.org/api_docs/python/tf/keras/layers/experimental/preprocessing?version=nightly"><code>tf.keras.layers.experimental.preprocessing.*</code></a>) to handle data preprocessing operations, with support for composite tensor inputs. Please see below for additional details on these layers.</p> </li> <li> <p>TFLite now properly supports dynamic shapes during conversion and inference. We’ve also added opt-in support on Android and iOS for <a href="https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/delegates/xnnpack">XNNPACK</a>, a highly optimized set of CPU kernels, as well as opt-in support for <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/performance/gpu_advanced.md#running-quantized-models-experimental">executing quantized models on the GPU</a>.</p> </li> <li> <p>Libtensorflow packages are available in GCS starting this release. We have also started to <a href="https://github.com/tensorflow/tensorflow#official-builds">release a nightly version of these packages</a>.</p> </li> <li> <p>The experimental Python API <a href="https://www.tensorflow.org/api_docs/python/tf/debugging/experimental/enable_dump_debug_info"><code>tf.debugging.experimental.enable_dump_debug_info()</code></a> now allows you to instrument a TensorFlow program and dump debugging information to a directory on the file system. The directory can be read and visualized by a new interactive dashboard in TensorBoard 2.3 called <a href="https://www.tensorflow.org/tensorboard/debugger_v2">Debugger V2</a>, which reveals the details of the TensorFlow program including graph structures, history of op executions at the Python (eager) and intra-graph levels, the runtime dtype, shape, and numerical composistion of tensors, as well as their code locations.</p> </li> </ul> <h2>Breaking Changes</h2> <ul> <li>Increases the <strong>minimum bazel version</strong> required to build TF to <strong>3.1.0</strong>.</li> <li><code>tf.data</code> <ul> <li>Makes the following (breaking) changes to the <code>tf.data</code>.</li> <li>C++ API: - <code>IteratorBase::RestoreInternal</code>, <code>IteratorBase::SaveInternal</code>, and <code>DatasetBase::CheckExternalState</code> become pure-virtual and subclasses are now expected to provide an implementation.</li> <li>The deprecated <code>DatasetBase::IsStateful</code> method is removed in favor of <code>DatasetBase::CheckExternalState</code>.</li> <li>Deprecated overrides of <code>DatasetBase::MakeIterator</code> and <code>MakeIteratorFromInputElement</code> are removed.</li> </ul> </li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md">tensorflow's changelog</a>.</em></p> <blockquote> <h1>Release 2.3.1</h1> <h2>Bug Fixes and Other Changes</h2> <ul> <li>Fixes an undefined behavior causing a segfault in <code>tf.raw_ops.Switch</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15190">CVE-2020-15190</a>)</li> <li>Fixes three vulnerabilities in conversion to DLPack format (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15191">CVE-2020-15191</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15192">CVE-2020-15192</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15193">CVE-2020-15193</a>)</li> <li>Fixes two vulnerabilities in <code>SparseFillEmptyRowsGrad</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15194">CVE-2020-15194</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15195">CVE-2020-15195</a>)</li> <li>Fixes several vulnerabilities in <code>RaggedCountSparseOutput</code> and <code>SparseCountSparseOutput</code> operations (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15196">CVE-2020-15196</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15197">CVE-2020-15197</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15198">CVE-2020-15198</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15199">CVE-2020-15199</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15200">CVE-2020-15200</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15201">CVE-2020-15201</a>)</li> <li>Fixes an integer truncation vulnerability in code using the work sharder API (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15202">CVE-2020-15202</a>)</li> <li>Fixes a format string vulnerability in <code>tf.strings.as_string</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15203">CVE-2020-15203</a>)</li> <li>Fixes segfault raised by calling session-only ops in eager mode (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15204">CVE-2020-15204</a>)</li> <li>Fixes data leak and potential ASLR violation from <code>tf.raw_ops.StringNGrams</code> (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15205">CVE-2020-15205</a>)</li> <li>Fixes segfaults caused by incomplete <code>SavedModel</code> validation (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15206">CVE-2020-15206</a>)</li> <li>Fixes a data corruption due to a bug in negative indexing support in TFLite (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15207">CVE-2020-15207</a>)</li> <li>Fixes a data corruption due to dimension mismatch in TFLite (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15208">CVE-2020-15208</a>)</li> <li>Fixes several vulnerabilities in TFLite saved model format (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209">CVE-2020-15209</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15210">CVE-2020-15210</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15211">CVE-2020-15211</a>)</li> <li>Fixes several vulnerabilities in TFLite implementation of segment sum (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15212">CVE-2020-15212</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15213">CVE-2020-15213</a>, <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15214">CVE-2020-15214</a>)</li> <li>Updates <code>sqlite3</code> to <code>3.33.00</code> to handle <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15358">CVE-2020-15358</a>.</li> <li>Fixes deprecated usage of <code>collections</code> API</li> <li>Removes <code>scipy</code> dependency from <code>setup.py</code> since TensorFlow does not need it to install the pip package</li> </ul> <h1>Release 2.2.1</h1> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/tensorflow/tensorflow/commit/fcc4b966f1265f466e82617020af93670141b009"><code>fcc4b96</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43446">#43446</a> from tensorflow-jenkins/version-numbers-2.3.1-16251</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/4cf223069a94c78b208e6c829d5f938a0fae7d07"><code>4cf2230</code></a> Update version numbers to 2.3.1</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/eee82247288e52e9b8a5c2badeb65f871b4da4c4"><code>eee8224</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43441">#43441</a> from tensorflow-jenkins/relnotes-2.3.1-24672</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/0d41b1dfc97500e1177cb718a0b14b04914df661"><code>0d41b1d</code></a> Update RELEASE.md</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/d99bd631ea9b67ffc39c22b35fbf7deca77ad1f7"><code>d99bd63</code></a> Insert release notes place-fill</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/d71d3ce2520587b752e5d27b2d4a4ba8720e4bd5"><code>d71d3ce</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43414">#43414</a> from tensorflow/mihaimaruseac-patch-1-1</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/9c91596d4d24bc07b6d36ae48581a2e7b2584edf"><code>9c91596</code></a> Fix missing import</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/f9f12f61867159120ce6eb08fdbd225d454232b5"><code>f9f12f6</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43391">#43391</a> from tensorflow/mihaimaruseac-patch-4</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/3ed271b0b05b4f1dfd5660944c54b5fe8cc3d8dc"><code>3ed271b</code></a> Solve leftover from merge conflict</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/9cf3773b717dfd46b37be2ba8cad4f038a8ff6f7"><code>9cf3773</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43358">#43358</a> from tensorflow/mm-patch-r2.3</li> <li>Additional commits viewable in <a href="https://github.com/tensorflow/tensorflow/compare/v1.1.0...v2.3.1">compare view</a></li> </ul> </details> <br />

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