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)
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
Jina is the cloud-native neural search framework powered by state-of-the-art AI and deep learning
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".
Face recognition with deep neural networks.
startedFmstrat/winapps
started time in 17 hours
startedNathanUA/U-2-Net
started time in 3 days
startedlinkedin/dagli
started time in 4 days
startedSoftwarepark/exercises
started time in 11 days
delete branch rohan1chaudhari/SuperResolution_Face-Recognition
delete branch : dependabot/pip/image-super-resolution/tensorflow-2.0.3
delete time in 11 days
PR closed rohan1chaudhari/SuperResolution_Face-Recognition
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 />
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.
<details> <summary>Dependabot commands and options</summary> <br />
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill 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 labelswill set the current labels as the default for future PRs for this repo and language@dependabot use these reviewerswill set the current reviewers as the default for future PRs for this repo and language@dependabot use these assigneeswill set the current assignees as the default for future PRs for this repo and language@dependabot use this milestonewill 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.
</details>
pr closed time in 11 days
pull request commentrohan1chaudhari/SuperResolution_Face-Recognition
Bump tensorflow from 2.0.0 to 2.0.3 in /image-super-resolution
Superseded by #3.
comment created time in 11 days
PR opened rohan1chaudhari/SuperResolution_Face-Recognition
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 />
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.
<details> <summary>Dependabot commands and options</summary> <br />
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill 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 labelswill set the current labels as the default for future PRs for this repo and language@dependabot use these reviewerswill set the current reviewers as the default for future PRs for this repo and language@dependabot use these assigneeswill set the current assignees as the default for future PRs for this repo and language@dependabot use this milestonewill 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.
</details>
pr created time in 11 days
create barnchrohan1chaudhari/SuperResolution_Face-Recognition
branch : dependabot/pip/image-super-resolution/tensorflow-2.3.1
created branch time in 11 days
startedchatwoot/chatwoot
started time in 13 days
startednschloe/optimesh
started time in 13 days
startedayushidalmia/awesome-fashion-ai
started time in 22 days
starteddaniellewisDL/streamlit-cheat-sheet
started time in a month
startedddd-crew/ddd-starter-modelling-process
started time in a month
startedcheckly/headless-recorder
started time in a month
startedhashicorp/boundary
started time in a month
startedaristocratos/bpytop
started time in a month
startedfzi-forschungszentrum-informatik/gpu-voxels
started time in a month
startedelsaland/elsa
started time in 2 months
startedforem/forem
started time in 2 months
delete branch rohan1chaudhari/SuperResolution_Face-Recognition
delete branch : dependabot/pip/image-super-resolution/tensorflow-2.0.1
delete time in 2 months
PR closed rohan1chaudhari/SuperResolution_Face-Recognition
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
- Fixes a security vulnerability where converting a Python string to a
tf.float16value produces a segmentation fault (CVE-2020-5215)- Updates
curlto7.66.0to handle CVE-2019-5482 and CVE-2019-5481- Updates
sqlite3to3.30.01to handle CVE-2019-19646, CVE-2019-19645 and CVE-2019-16168 </details> <details> <summary>Changelog</summary>
Sourced from tensorflow's changelog.
Release 2.0.1
Bug Fixes and Other Changes
- Fixes a security vulnerability where converting a Python string to a
tf.float16value produces a segmentation fault (CVE-2020-5215)- Updates
curlto7.66.0to handle CVE-2019-5482 and CVE-2019-5481- Updates
sqlite3to3.30.01to handle CVE-2019-19646, CVE-2019-19645 and CVE-2019-16168Release 1.15.2
Bug Fixes and Other Changes
- Fixes a security vulnerability where converting a Python string to a
tf.float16value produces a segmentation fault (CVE-2020-5215)- Updates
curlto7.66.0to handle CVE-2019-5482 and CVE-2019-5481- Updates
sqlite3to3.30.01to handle CVE-2019-19646, CVE-2019-19645 and CVE-2019-16168Release 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
tensorflowpip package now includes GPU support by default (same astensorflow-gpu) for both Linux and Windows. This runs on machines with and without NVIDIA GPUs.tensorflow-gpuis still available, and CPU-only packages can be downloaded attensorflow-cpufor users who are concerned about package size.- Windows users: Officially-released
tensorflowPip packages are now built with Visual Studio 2019 version 16.4 in order to take advantage of the new/d2ReducedOptimizeHugeFunctionscompiler 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_INLINEcan take over 48 hours to compile without this flag. Refer toconfigure.pyfor more information aboutEIGEN_STRONG_INLINEand/d2ReducedOptimizeHugeFunctions.- If either of the required DLLs,
msvcp140.dll(old) ormsvcp140_1.dll(new), are missing on your machine,import tensorflowwill print a warning message.- The
tensorflowpip 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
TextVectorizationlayer, 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.evaluateand.predictare 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.predictis 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.summaryto be used more conveniently with Cloud TPUs.- Dynamic batch sizes with DistributionStrategy and Keras are supported on Cloud TPUs.
- Support for
.fit,.evaluate,.predicton TPU using numpy data, in addition totf.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.Datasetnow supports automatic data distribution and sharding in distributed environments, including on TPU pods.- Distribution policies for
tf.data.Datasetcan 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()andtf.debugging.disable_check_numerics()to help debugging the root causes of issues involving infinities andNaNs.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 tostrategy.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_OPShas been added. When set to "true" or "1", this environment variable makestf.nn.bias_addoperate deterministically (i.e. reproducibly), but currently only when XLA JIT compilation is not enabled. SettingTF_DETERMINISTIC_OPSto "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_linesfor which we know of no usages. </tr></table> ... (truncated) </details> <details> <summary>Commits</summary>
765ac8dMerge pull request #35913 from tensorflow-jenkins/relnotes-2.0.1-67670bcb99bAdd CVE number for main patcha093c7eMerge pull request #36085 from tensorflow/mm-r2.0-fix-release-builds-pt463aedd7Disable test that times out on mac non pip builds619c578Disable the gpu on cpu tests as they were added for 2.11a617d6Merge pull request #36047 from tensorflow/mm-r2.0-fix-release-builds-pt332d9138Cleanup the windows buildsdd1ebd7Cleanup macos builds3b93059Remove py2 macos scripts606596fRemove builds which are not needed for the release- Additional commits viewable in compare view </details> <br />
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.
<details> <summary>Dependabot commands and options</summary> <br />
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot ignore this [patch|minor|major] versionwill close this PR and stop Dependabot creating any more for this minor/major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill 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 labelswill set the current labels as the default for future PRs for this repo and language@dependabot use these reviewerswill set the current reviewers as the default for future PRs for this repo and language@dependabot use these assigneeswill set the current assignees as the default for future PRs for this repo and language@dependabot use this milestonewill 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.
</details>
pr closed time in 2 months
pull request commentrohan1chaudhari/SuperResolution_Face-Recognition
Bump tensorflow from 2.0.0 to 2.0.1 in /image-super-resolution
Superseded by #2.
comment created time in 2 months
PR opened rohan1chaudhari/SuperResolution_Face-Recognition
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 />
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.
<details> <summary>Dependabot commands and options</summary> <br />
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill 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 labelswill set the current labels as the default for future PRs for this repo and language@dependabot use these reviewerswill set the current reviewers as the default for future PRs for this repo and language@dependabot use these assigneeswill set the current assignees as the default for future PRs for this repo and language@dependabot use this milestonewill 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.
</details>
pr created time in 2 months
create barnchrohan1chaudhari/SuperResolution_Face-Recognition
branch : dependabot/pip/image-super-resolution/tensorflow-2.0.3
created branch time in 2 months
startedsnakers4/silero-models
started time in 2 months
startedsdushantha/tmpmail
started time in 2 months