Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.2.0 to >=2.2.0,!=2.6.0,!=2.6.1,<2.19.0 #908

dependabot · 2024-11-18T11:09:18Z

Updates the requirements on tensorflow to permit the latest version.

Release notes

TensorFlow 2.18.0

Release 2.18.0

TensorFlow

Breaking Changes

tf.lite

C API:

An optional, fourth parameter was added TfLiteOperatorCreate as a step forward towards a cleaner API for TfLiteOperator. Function TfLiteOperatorCreate was added recently, in TensorFlow Lite version 2.17.0, released on 7/11/2024, and we do not expect there will be much code using this function yet. Any code breakages can be easily resolved by passing nullptr as the new, 4th parameter.

TensorRT support is disabled in CUDA builds for code health improvement.

Hermetic CUDA support is added.

Hermetic CUDA uses a specific downloadable version of CUDA instead of the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and NCCL distributions, and then use CUDA libraries and tools as dependencies in various Bazel targets. This enables more reproducible builds for Google ML projects and supported CUDA versions.

Known Caveats

Major Features and Improvements

TensorFlow now supports and is compiled with NumPy 2.0 by default. Please see the NumPy 2 release notes and the NumPy 2 migration guide.

Note that NumPy's type promotion rules have been changed(See NEP 50for details). This may change the precision at which computations happen, leading either to type errors or to numerical changes to results.

Tensorflow will continue to support NumPy 1.26 until 2025, aligning with community standard deprecation timeline here.

tf.lite:

The LiteRT repo is live (see announcement), which means that in the coming months there will be changes to the development experience for TFLite. The TF Lite Runtime source will be moved later this year, and sometime after that we will start accepting contributions through that repo.

SignatureRunner is now supported for models with no signatures.

Bug Fixes and Other Changes

tf.data

Add optional synchronous argument to map, to specify that the map should run synchronously, as opposed to be parallelizable when options.experimental_optimization.map_parallelization=True. This saves memory compared to setting num_parallel_calls=1.

Add optional use_unbounded_threadpool argument to map, to specify that the map should use an unbounded threadpool instead of the default pool that is based on the number of cores on the machine. This can improve throughput for map functions which perform IO or otherwise release the CPU.

Add tf.data.experimental.get_model_proto to allow users to peek into the analytical model inside of a dataset iterator.

tf.lite

Dequantize op supports TensorType_INT4.

This change includes per-channel dequantization.

Add support for stablehlo.composite.

EmbeddingLookup op supports per-channel quantization and TensorType_INT4 values.

FullyConnected op supports TensorType_INT16 activation and TensorType_Int4 weight per-channel quantization.

tf.tensor_scatter_update, tf.tensor_scatter_add and of other reduce types.

Support bad_indices_policy.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Akhil Goel, akhilgoe, Alexander Pivovarov, Amir Samani, Andrew Goodbody, Andrey Portnoy, Anthony Platanios, bernardoArcari, Brett Taylor, buptzyb, Chao, Christian Clauss, Cocoa, Daniil Kutz, Darya Parygina, dependabot[bot], Dimitris Vardoulakis, Dragan Mladjenovic, Elfie Guo, eukub, Faijul Amin, flyingcat, Frédéric Bastien, ganyu.08, Georg Stefan Schmid, Grigory Reznikov, Harsha H S, Harshit Monish, Heiner, Ilia Sergachev, Jan, Jane Liu, Jaroslav Sevcik, Kaixi Hou, Kanvi Khanna, Kristof Maar, Kristóf Maár, LakshmiKalaKadali, Lbertho-Gpsw, lingzhi98, MarcoFalke, Masahiro Hiramori, Mmakevic-Amd, mraunak, Nobuo Tsukamoto, Notheisz57, Olli Lupton, Pearu Peterson, pemeliya, Peyara Nando, Philipp Hack, Phuong Nguyen, Pol Dellaiera, Rahul Batra, Ruturaj Vaidya, sachinmuradi, Sergey Kozub, Shanbin Ke, Sheng Yang, shengyu, Shraiysh, Shu Wang, Surya, sushreebarsa, Swatheesh-Mcw, syzygial, Tai Ly, terryysun, tilakrayal, Tj Xu, Trevor Morris, Tzung-Han Juang, wenchenvincent, wondertx, Xuefei Jiang, Ye Huang, Yimei Sun, Yunlong Liu, Zahid Iqbal, Zhan Lu, Zoranjovanovic-Ns, Zuri Obozuwa

Changelog

Sourced from tensorflow's changelog.

Release 2.18.0

TensorFlow

Breaking Changes

tf.lite

Interpreter:

tf.lite.Interpreter gives warning of future deletion and a redirection notice to its new location at ai_edge_litert.interpreter. See the migration guide for details.

C API:

An optional, fourth parameter was added TfLiteOperatorCreate as a step forward towards a cleaner API for TfLiteOperator. Function TfLiteOperatorCreate was added recently, in TensorFlow Lite version 2.17.0, released on 7/11/2024, and we do not expect there will be much code using this function yet. Any code breakages can be easily resolved by passing nullptr as the new, 4th parameter.

TensorRT support is disabled in CUDA builds for code health improvement.

TensorFlow now supports and is compiled with NumPy 2.0 by default. Please see the NumPy 2 release notes and the NumPy 2 migration guide.

Note that NumPy's type promotion rules have been changed(See NEP 50for details). This may change the precision at which computations happen, leading either to type errors or to numerical changes to results.

Tensorflow will continue to support NumPy 1.26 until 2025, aligning with community standard deprecation timeline here.

Hermetic CUDA support is added.

Hermetic CUDA uses a specific downloadable version of CUDA instead of the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and NCCL distributions, and then use CUDA libraries and tools as dependencies in various Bazel targets. This enables more reproducible builds for Google ML projects and supported CUDA versions.

Remove the EnumNamesXNNPackFlags function in tensorflow/lite/acceleration/configuration/configuration_generated.h.

This change is a bug fix in the automatically generated code. This change is automatically generated by the new flatbuffer generator. The flatbuffers library is updated to 24.3.25 in tensorflow/tensorflow@c17d64d. The new flatbuffers library includes the following change google/flatbuffers#7813 which fixed a underlying flatbuffer code generator bug.

Known Caveats

Major Features and Improvements

tf.lite:

The LiteRT repo is live (see announcement), which means that in the coming months there will be changes to the development experience for TFLite. The TF Lite Runtime source will be moved later this year, and sometime after that we will start accepting contributions through that repo.

SignatureRunner is now supported for models with no signatures.

Bug Fixes and Other Changes

tf.data

Add optional synchronous argument to map, to specify that the map should run synchronously, as opposed to be parallelizable when options.experimental_optimization.map_parallelization=True. This saves memory compared to setting num_parallel_calls=1.

Add optional use_unbounded_threadpool argument to map, to specify that the map should use an unbounded threadpool instead of the default pool that is based on the number of cores on the machine. This can improve throughput for map functions which perform IO or otherwise release the CPU.

Add tf.data.experimental.get_model_proto to allow users to peek into the analytical model inside of a dataset iterator.

tf.lite

Dequantize op supports TensorType_INT4.

This change includes per-channel dequantization.

Add support for stablehlo.composite.

EmbeddingLookup op supports per-channel quantization and TensorType_INT4 values.

FullyConnected op supports TensorType_INT16 activation and TensorType_Int4 weight per-channel quantization.

Enable per-tensor quantization support in dynamic range quantization of TRANSPOSE_CONV layer. Fixes TFLite converter bug.

... (truncated)

Commits

6550e4b Merge pull request #78464 from tensorflow/rtg0795-patch-1
7e0c244 Merge pull request #78463 from tensorflow-jenkins/version-numbers-2.18.0-21101
35624d2 Update RELEASE.md to move TFLite SignatureRunner to the right section
8d2c5e1 Update version numbers to 2.18.0
d5f4a3f Merge pull request #77589 from tensorflow-jenkins/version-numbers-2.18.0rc2-1...
7cbcbf3 Update version numbers to 2.18.0-rc2
84c9398 Merge pull request #77576 from tensorflow/r2.18-be4f646ec43
8fca5e7 PR #17430: [ROCm] Use unique_ptr for TupleHandle in pjrt_se_client
2c3c798 Merge pull request #77025 from tensorflow-jenkins/version-numbers-2.18.0rc1-2...
10693a4 Update version numbers to 2.18.0-rc1
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dependabot · 2024-11-18T11:09:20Z

Dependabot tried to add @jklaise and @mauicv as reviewers to this PR, but received the following error from GitHub:

POST https://api.github.com/repos/SeldonIO/alibi-detect/pulls/908/requested_reviewers: 422 - Reviews may only be requested from collaborators. One or more of the users or teams you specified is not a collaborator of the SeldonIO/alibi-detect repository. // See: https://docs.github.com/rest/pulls/review-requests#request-reviewers-for-a-pull-request

Updates the requirements on [tensorflow](https://github.com/tensorflow/tensorflow) to permit the latest version. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](tensorflow/tensorflow@v2.2.0...v2.18.0) --- updated-dependencies: - dependency-name: tensorflow dependency-type: direct:development ... Signed-off-by: dependabot[bot] <support@github.com>

CLAassistant · 2024-12-09T16:52:45Z

All committers have signed the CLA.

sakoush

Thanks for doing this work!

alibi_detect/saving/_tensorflow/tests/test_saving_tf.py

alibi_detect/utils/tensorflow/prediction.py

sakoush · 2024-12-10T21:39:21Z

alibi_detect/utils/tensorflow/prediction.py

+    """
+    signature = inspect.signature(model.call)
+    arg_names = [param.name for param in signature.parameters.values()]
+    return {arg_names[0]: x}


question: what are the guarantees that we are always interested in the first arg?

This construct it is used where the model is called with a single argument.

alibi_detect/utils/tensorflow/prediction.py

sakoush · 2024-12-10T21:41:13Z

.github/workflows/ci.yml

@@ -34,7 +34,7 @@ jobs:
    strategy:
      matrix:
        os: [ ubuntu-latest ]
-        python-version: [ '3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.9', '3.10', '3.11']


should we add 3.12 here as well?

Will be added in a future PR.

sakoush · 2024-12-10T21:41:37Z

.github/workflows/ci.yml

@@ -34,7 +34,7 @@ jobs:
    strategy:
      matrix:
        os: [ ubuntu-latest ]
-        python-version: [ '3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.9', '3.10', '3.11']
        pydantic-version: [ '1.10.15', '2.7.1' ]


not related to this PR, do we still support pydantic v1?

I was thinking to remove it in a future PR. Was about to ask you about that.

dependabot bot added the dependencies Pull requests that update a dependency file label Nov 18, 2024

dependabot bot mentioned this pull request Nov 18, 2024

Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.2.0 to >=2.2.0,!=2.6.0,!=2.6.1,<2.18.0 #899

Closed

dependabot bot and others added 14 commits December 6, 2024 13:20

Updated upper and lower bound on tensorflow

d1d62b9

Fixed input shape for test_misc_tf

189fd8e

Fixed activation serialization issue for test_saving_legacy.py

3fb914c

Fixed preprocessor

548dc1b

Fixed admd

32cbf0c

Fixed model cloning

5287f4f

Fixed TFDataset index error

6edaec4

Fixed trainable vars for spot the diff detector

728db4f

Fixed infer sigma flag in mmd

e3d6dc9

Fixed classifier tf test

207ceb4

Fixed kernes trainable variables

a4d4a5b

Fixed llr tests

945e69f

Fixed saving and optimizer saving

f72c462

RobertSamoilescu force-pushed the dependabot/pip/tensorflow-gte-2.2.0-and-neq-2.6.0-and-neq-2.6.1-and-lt-2.19.0 branch from 383badd to f72c462 Compare December 9, 2024 16:52

RobertSamoilescu added 4 commits December 9, 2024 17:26

Included test entry in Makefile and updated ci

f20de56

Test all notebooks - to be reverted

71e7331

Removed python3.8 from ci

f1c394f

Improved test command

21379eb

RobertSamoilescu force-pushed the dependabot/pip/tensorflow-gte-2.2.0-and-neq-2.6.0-and-neq-2.6.1-and-lt-2.19.0 branch from e3710f1 to 21379eb Compare December 10, 2024 09:46

RobertSamoilescu added 6 commits December 10, 2024 11:18

Fixed saving test models

481c6a9

Fixed non-tensor inputs as positional arguments

689723d

Fixed env variable in makefile

2cdfe8e

Fixed optimizer tests, including legacy tests

f46b67d

Fixed optional dependencies imports

4fa6ee2

Fixed od_vae_adult.ipynb

ecce171

RobertSamoilescu added 18 commits December 10, 2024 14:43

Fixed od_vae_cifar10.ipynb

ec1e9f6

Fixed cd_model_unc_cifar10_wine.ipynb

e946877

Fixed od_aegmm_kddcup.ipynb

47836b7

Fixed od_vae_kddcup.ipynb

17889a8

Fixed od_seq2seq_ecg.ipynb

e9cdb44

Fixed od_ae_cifar10.ipynb

6c1b95b

Fixed cd_distillation_cifar10.ipynb

8c5e7d5

Fixed cd_ks_cifar10.ipynb

688dc25

Fixed cd_mmd_cifar10.ipynb

c94dc27

Fixed od_llr_genome.ipynb

a7b4f35

Fixed od_llr_mnist.ipynb

10fb508

Fixed od_seq2seq_synth.ipynb

bc81fc0

Fixed cd_text_imdb.ipynb

9bf3cb4

Fixed alibi_detect_deploy.ipynb

5944751

Fixed ad_ae_cifar10.ipynb

9aed8e6

Reverted a few things in misc

f961c13

Fixed flake8 errors

a55ce0e

Reverted test all notebooks github actions

5c73414

RobertSamoilescu requested a review from sakoush December 10, 2024 16:01

sakoush approved these changes Dec 10, 2024

View reviewed changes

RobertSamoilescu added 2 commits December 11, 2024 10:06

Addressed PR comments

4b35346

Fixed flake8 error

88c8e71

RobertSamoilescu merged commit dd77a2a into master Dec 11, 2024
20 of 23 checks passed

RobertSamoilescu deleted the dependabot/pip/tensorflow-gte-2.2.0-and-neq-2.6.0-and-neq-2.6.1-and-lt-2.19.0 branch December 11, 2024 10:08

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Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.2.0 to >=2.2.0,!=2.6.0,!=2.6.1,<2.19.0 #908

Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.2.0 to >=2.2.0,!=2.6.0,!=2.6.1,<2.19.0 #908

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dependabot bot commented on behalf of github Nov 18, 2024

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Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.2.0 to >=2.2.0,!=2.6.0,!=2.6.1,<2.19.0 #908

Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.2.0 to >=2.2.0,!=2.6.0,!=2.6.1,<2.19.0 #908

Conversation

dependabot bot commented on behalf of github Nov 18, 2024

TensorFlow 2.18.0

Release 2.18.0

TensorFlow

Breaking Changes

Known Caveats

Major Features and Improvements

Bug Fixes and Other Changes

Thanks to our Contributors

Release 2.18.0

TensorFlow

Breaking Changes

Known Caveats

Major Features and Improvements

Bug Fixes and Other Changes

dependabot bot commented on behalf of github Nov 18, 2024

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