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Title: Bump tensorflow from 2.4.0 to 2.7.2 in /machine-learning/nlp/text-generator by dependabot[bot] · Pull Request #11 · grimmvenom/pythoncode-tutorials · GitHub

Open Graph Title: Bump tensorflow from 2.4.0 to 2.7.2 in /machine-learning/nlp/text-generator by dependabot[bot] · Pull Request #11 · grimmvenom/pythoncode-tutorials

X Title: Bump tensorflow from 2.4.0 to 2.7.2 in /machine-learning/nlp/text-generator by dependabot[bot] · Pull Request #11 · grimmvenom/pythoncode-tutorials

Description: Bumps tensorflow from 2.4.0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193) Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192) Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194) Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191) Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195) Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197) Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199) Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198) Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200) Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196) Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197) Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207) Fixes a segfault due to missing support for quantized types (CVE-2022-29205) Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206) Fixes a missing validation which results in undefined behavior in QuantizedConv2D (CVE-2022-29201) Fixes an integer overflow in SpaceToBatchND (CVE-2022-29203) Fixes a segfault and OOB write due to incomplete validation in EditDistance (CVE-2022-29208) Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29204) Fixes a denial of service in tf.ragged.constant due to lack of validation (CVE-2022-29202) Fixes a segfault when tf.histogram_fixed_width is called with NaN values (CVE-2022-29211) Fixes a core dump when loading TFLite models with quantization (CVE-2022-29212) Fixes crashes stemming from incomplete validation in signal ops (CVE-2022-29213) Fixes a type confusion leading to CHECK-failure based denial of service (CVE-2022-29209) Updates curl to 7.83.1 to handle (CVE-2022-22576, (CVE-2022-27774, (CVE-2022-27775, (CVE-2022-27776, (CVE-2022-27778, (CVE-2022-27779, (CVE-2022-27780, (CVE-2022-27781, (CVE-2022-27782 and (CVE-2022-30115 Updates zlib to 1.2.12 after 1.2.11 was pulled due to security issue TensorFlow 2.7.1 Release 2.7.1 This releases introduces several vulnerability fixes: Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725) Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728) Fixes a heap OOB access in Dequantize (CVE-2022-21726) Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727) Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730) Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729) Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731) Fixes an OOM in ThreadPoolHandle (CVE-2022-21732) Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733) Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208) Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567) Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568) ... (truncated) Changelog Sourced from tensorflow's changelog. Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193) Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192) Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194) Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191) Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195) Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197) Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199) Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198) Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200) Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196) Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197) Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207) Fixes a segfault due to missing support for quantized types (CVE-2022-29205) Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206) Fixes a missing validation which results in undefined behavior in QuantizedConv2D (CVE-2022-29201) Fixes an integer overflow in SpaceToBatchND (CVE-2022-29203) Fixes a segfault and OOB write due to incomplete validation in EditDistance (CVE-2022-29208) Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29204) Fixes a denial of service in tf.ragged.constant due to lack of validation (CVE-2022-29202) Fixes a segfault when tf.histogram_fixed_width is called with NaN values (CVE-2022-29211) Fixes a core dump when loading TFLite models with quantization (CVE-2022-29212) Fixes crashes stemming from incomplete validation in signal ops (CVE-2022-29213) Fixes a type confusion leading to CHECK-failure based denial of service (CVE-2022-29209) Updates curl to 7.83.1 to handle (CVE-2022-22576, (CVE-2022-27774, (CVE-2022-27775, (CVE-2022-27776, (CVE-2022-27778, (CVE-2022-27779, (CVE-2022-27780, (CVE-2022-27781, (CVE-2022-27782 and (CVE-2022-30115 Updates zlib to 1.2.12 after 1.2.11 was pulled due to security issue Release 2.6.4 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193) Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192) Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194) Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191) Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195) Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197) Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199) Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198) Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200) Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196) Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197) Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207) Fixes a segfault due to missing support for quantized types (CVE-2022-29205) Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206) ... (truncated) Commits dd7b8a3 Merge pull request #56034 from tensorflow-jenkins/relnotes-2.7.2-15779 1e7d6ea Update RELEASE.md 5085135 Merge pull request #56069 from tensorflow/mm-cp-52488e5072f6fe44411d70c6af09e... adafb45 Merge pull request #56060 from yongtang:curl-7.83.1 01cb1b8 Merge pull request #56038 from tensorflow-jenkins/version-numbers-2.7.2-4733 8c90c2f Update version numbers to 2.7.2 43f3cdc Update RELEASE.md 98b0a48 Insert release notes place-fill dfa5cf3 Merge pull request #56028 from tensorflow/disable-tests-on-r2.7 501a65c Disable timing out tests Additional commits viewable in compare view Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase. Dependabot commands and options You can trigger Dependabot actions by commenting on this PR: @dependabot rebase will rebase this PR @dependabot recreate will recreate this PR, overwriting any edits that have been made to it @dependabot merge will merge this PR after your CI passes on it @dependabot squash and merge will squash and merge this PR after your CI passes on it @dependabot cancel merge will cancel a previously requested merge and block automerging @dependabot reopen will reopen this PR if it is closed @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually @dependabot ignore this major version will 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 version will 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 dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) @dependabot use these labels will set the current labels as the default for future PRs for this repo and language @dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language @dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language You can disable automated security fix PRs for this repo from the Security Alerts page.

Open Graph Description: Bumps tensorflow from 2.4.0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code inje...

X Description: Bumps tensorflow from 2.4.0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code ...

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