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rohan1chaudhari/edge-informed-sisr 0

Edge-Informed Single Image Super-Resolution, ICCVW 2019 https://arxiv.org/abs/1909.05305

rohan1chaudhari/EDSR-PyTorch 0

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

rohan1chaudhari/ESRGAN 0

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

rohan1chaudhari/jina 0

Jina is the cloud-native neural search framework powered by state-of-the-art AI and deep learning

rohan1chaudhari/keras-gcnn 0

Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivariant CNNs for Digital Pathology".

rohan1chaudhari/openface 0

Face recognition with deep neural networks.

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delete branch rohan1chaudhari/SuperResolution_Face-Recognition

delete branch : dependabot/pip/image-super-resolution/tensorflow-2.0.3

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PR closed rohan1chaudhari/SuperResolution_Face-Recognition

Bump tensorflow from 2.0.0 to 2.0.3 in /image-super-resolution dependencies

Bumps tensorflow from 2.0.0 to 2.0.3. <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 2.0.3</h2> <h1>Release 2.0.3</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>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 2.0.2</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 2.0.1</h2> <h1>Release 2.0.1</h1> <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> </blockquote> </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 2.0.3</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>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 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> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/tensorflow/tensorflow/commit/295ad2781683835be974faba0a191528d8079768"><code>295ad27</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43443">#43443</a> from tensorflow-jenkins/version-numbers-2.0.3-23981</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/c574e641ffb652b34bd918cbc7c3ba681e2d72af"><code>c574e64</code></a> Update version numbers to 2.0.3</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/1bdd956e630fef49d2ec14f1747704ac13df740b"><code>1bdd956</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43438">#43438</a> from tensorflow-jenkins/relnotes-2.0.3-26591</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/60f0b7b1dbf28e8922508e5e23e606a6a80b30c4"><code>60f0b7b</code></a> Update RELEASE.md</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/e081967f1df8fcfeb34bae829df62eb1b26a0b10"><code>e081967</code></a> Insert release notes place-fill</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/975a52309c366b3ed34aa5da63be29f15668d884"><code>975a523</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43411">#43411</a> from tensorflow/mm-fix-2.0</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/0ea1b845d86ccc98ea74dadb8f76efcad4fd69a7"><code>0ea1b84</code></a> Add missing import</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/b98dc690f1a9691a823357f7f59cc42aa184af0f"><code>b98dc69</code></a> No <code>disable_tfrt</code> present on this branch</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/4ec48a161faf954ddc301cc27ee31a4f8baaeb9e"><code>4ec48a1</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43407">#43407</a> from tensorflow/mihaimaruseac-patch-2</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/c55d0c3008eabcd0548325e16a9c8df3a22bae40"><code>c55d0c3</code></a> Remove import that is not needed</li> <li>Additional commits viewable in <a href="https://github.com/tensorflow/tensorflow/compare/v2.0.0...v2.0.3">compare view</a></li> </ul> </details> <br />

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PR opened rohan1chaudhari/SuperResolution_Face-Recognition

Bump tensorflow from 2.0.0 to 2.3.1 in /image-super-resolution

Bumps tensorflow from 2.0.0 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/v2.0.0...v2.3.1">compare view</a></li> </ul> </details> <br />

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Bump tensorflow from 2.0.0 to 2.0.1 in /image-super-resolution dependencies

Bumps tensorflow from 2.0.0 to 2.0.1. <details> <summary>Release notes</summary>

Sourced from tensorflow's releases.

TensorFlow 2.0.1

Release 2.0.1

Bug Fixes and Other Changes

Sourced from tensorflow's changelog.

Release 2.0.1

Bug Fixes and Other Changes

Release 1.15.2

Bug Fixes and Other Changes

Release 2.1.0

TensorFlow 2.1 will be the last TF release supporting Python 2. Python 2 support officially ends an January 1, 2020. As announced earlier, TensorFlow will also stop supporting Python 2 starting January 1, 2020, and no more releases are expected in 2019.

Major Features and Improvements

  • The tensorflow pip package now includes GPU support by default (same as tensorflow-gpu) for both Linux and Windows. This runs on machines with and without NVIDIA GPUs. tensorflow-gpu is still available, and CPU-only packages can be downloaded at tensorflow-cpu for users who are concerned about package size.
  • Windows users: Officially-released tensorflow Pip packages are now built with Visual Studio 2019 version 16.4 in order to take advantage of the new /d2ReducedOptimizeHugeFunctions compiler flag. To use these new packages, you must install "Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019", available from Microsoft's website here.
    • This does not change the minimum required version for building TensorFlow from source on Windows, but builds enabling EIGEN_STRONG_INLINE can take over 48 hours to compile without this flag. Refer to configure.py for more information about EIGEN_STRONG_INLINE and /d2ReducedOptimizeHugeFunctions.
    • If either of the required DLLs, msvcp140.dll (old) or msvcp140_1.dll (new), are missing on your machine, import tensorflow will print a warning message.
  • The tensorflow pip package is built with CUDA 10.1 and cuDNN 7.6.
  • tf.keras
    • Experimental support for mixed precision is available on GPUs and Cloud TPUs. See usage guide.
    • Introduced the TextVectorization layer, which takes as input raw strings and takes care of text standardization, tokenization, n-gram generation, and vocabulary indexing. See this end-to-end text classification example.
    • Keras .compile .fit .evaluate and .predict are allowed to be outside of the DistributionStrategy scope, as long as the model was constructed inside of a scope.
    • Experimental support for Keras .compile, .fit, .evaluate, and .predict is available for Cloud TPUs, Cloud TPU, for all types of Keras models (sequential, functional and subclassing models).
    • Automatic outside compilation is now enabled for Cloud TPUs. This allows tf.summary to be used more conveniently with Cloud TPUs.
    • Dynamic batch sizes with DistributionStrategy and Keras are supported on Cloud TPUs.
    • Support for .fit, .evaluate, .predict on TPU using numpy data, in addition to tf.data.Dataset.
    • Keras reference implementations for many popular models are available in the TensorFlow Model Garden.
  • tf.data
    • Changes rebatching for tf.data datasets + DistributionStrategy for better performance. Note that the dataset also behaves slightly differently, in that the rebatched dataset cardinality will always be a multiple of the number of replicas.
    • tf.data.Dataset now supports automatic data distribution and sharding in distributed environments, including on TPU pods.
    • Distribution policies for tf.data.Dataset can now be tuned with 1. tf.data.experimental.AutoShardPolicy(OFF, AUTO, FILE, DATA) 2. tf.data.experimental.ExternalStatePolicy(WARN, IGNORE, FAIL)
  • tf.debugging
    • Add tf.debugging.enable_check_numerics() and tf.debugging.disable_check_numerics() to help debugging the root causes of issues involving infinities and NaNs.
  • tf.distribute
    • Custom training loop support on TPUs and TPU pods is avaiable through strategy.experimental_distribute_dataset, strategy.experimental_distribute_datasets_from_function, strategy.experimental_run_v2, strategy.reduce.
    • Support for a global distribution strategy through tf.distribute.experimental_set_strategy(), in addition to strategy.scope().
  • TensorRT
    • TensorRT 6.0 is now supported and enabled by default. This adds support for more TensorFlow ops including Conv3D, Conv3DBackpropInputV2, AvgPool3D, MaxPool3D, ResizeBilinear, and ResizeNearestNeighbor. In addition, the TensorFlow-TensorRT python conversion API is exported as tf.experimental.tensorrt.Converter.
  • Environment variable TF_DETERMINISTIC_OPS has been added. When set to "true" or "1", this environment variable makes tf.nn.bias_add operate deterministically (i.e. reproducibly), but currently only when XLA JIT compilation is not enabled. Setting TF_DETERMINISTIC_OPS to "true" or "1" also makes cuDNN convolution and max-pooling operate deterministically. This makes Keras Conv*D and MaxPool*D layers operate deterministically in both the forward and backward directions when running on a CUDA-enabled GPU.

Breaking Changes

  • Deletes Operation.traceback_with_start_lines for which we know of no usages. </tr></table> ... (truncated) </details> <details> <summary>Commits</summary>
  • 765ac8d Merge pull request #35913 from tensorflow-jenkins/relnotes-2.0.1-6767
  • 0bcb99b Add CVE number for main patch
  • a093c7e Merge pull request #36085 from tensorflow/mm-r2.0-fix-release-builds-pt4
  • 63aedd7 Disable test that times out on mac non pip builds
  • 619c578 Disable the gpu on cpu tests as they were added for 2.1
  • 1a617d6 Merge pull request #36047 from tensorflow/mm-r2.0-fix-release-builds-pt3
  • 32d9138 Cleanup the windows builds
  • dd1ebd7 Cleanup macos builds
  • 3b93059 Remove py2 macos scripts
  • 606596f Remove builds which are not needed for the release
  • Additional commits viewable in compare view </details> <br />

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PR opened rohan1chaudhari/SuperResolution_Face-Recognition

Bump tensorflow from 2.0.0 to 2.0.3 in /image-super-resolution

Bumps tensorflow from 2.0.0 to 2.0.3. <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 2.0.3</h2> <h1>Release 2.0.3</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>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 2.0.2</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 2.0.1</h2> <h1>Release 2.0.1</h1> <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> </blockquote> </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 2.0.3</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>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 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> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/tensorflow/tensorflow/commit/295ad2781683835be974faba0a191528d8079768"><code>295ad27</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43443">#43443</a> from tensorflow-jenkins/version-numbers-2.0.3-23981</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/c574e641ffb652b34bd918cbc7c3ba681e2d72af"><code>c574e64</code></a> Update version numbers to 2.0.3</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/1bdd956e630fef49d2ec14f1747704ac13df740b"><code>1bdd956</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43438">#43438</a> from tensorflow-jenkins/relnotes-2.0.3-26591</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/60f0b7b1dbf28e8922508e5e23e606a6a80b30c4"><code>60f0b7b</code></a> Update RELEASE.md</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/e081967f1df8fcfeb34bae829df62eb1b26a0b10"><code>e081967</code></a> Insert release notes place-fill</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/975a52309c366b3ed34aa5da63be29f15668d884"><code>975a523</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43411">#43411</a> from tensorflow/mm-fix-2.0</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/0ea1b845d86ccc98ea74dadb8f76efcad4fd69a7"><code>0ea1b84</code></a> Add missing import</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/b98dc690f1a9691a823357f7f59cc42aa184af0f"><code>b98dc69</code></a> No <code>disable_tfrt</code> present on this branch</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/4ec48a161faf954ddc301cc27ee31a4f8baaeb9e"><code>4ec48a1</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/43407">#43407</a> from tensorflow/mihaimaruseac-patch-2</li> <li><a href="https://github.com/tensorflow/tensorflow/commit/c55d0c3008eabcd0548325e16a9c8df3a22bae40"><code>c55d0c3</code></a> Remove import that is not needed</li> <li>Additional commits viewable in <a href="https://github.com/tensorflow/tensorflow/compare/v2.0.0...v2.0.3">compare view</a></li> </ul> </details> <br />

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