Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.0.0 to >=2.0.0,!=2.6.0,!=2.6.1,<2.19.0 #1023

dependabot · 2024-11-18T11:30:35Z

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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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@v2.0.0...v2.18.0) --- updated-dependencies: - dependency-name: tensorflow dependency-type: direct:development ... Signed-off-by: dependabot[bot] <[email protected]>

dependabot · 2024-11-18T11:30:37Z

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POST https://api.github.com/repos/SeldonIO/alibi/pulls/1023/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 repository. // See: https://docs.github.com/rest/pulls/review-requests#request-reviewers-for-a-pull-request

CLAassistant · 2024-11-28T11:27:31Z

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This reverts commit b3641a8.

sakoush

LGTM

sakoush · 2024-12-05T14:03:29Z

.github/workflows/ci.yml

      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 also 3.12 (and potentially 3.13)?

I am planning to do other PRs to completely remove 3.8 and another one to add 3.12

sakoush · 2024-12-05T14:03:45Z

.github/workflows/ci.yml

+        python-version: ['3.9', '3.10', '3.11']
        include: # Run windows tests on only one python version
          - os: windows-latest
            python-version: '3.11'


set at least to 3.12?

sakoush · 2024-12-05T14:05:23Z

alibi/explainers/tests/test_anchor_image.py

@@ -1,8 +1,8 @@
 import pytest
 from pytest_lazyfixture import lazy_fixture
+import torch


why is torch required?

It is used by one of the fixtures.

sakoush · 2024-12-05T14:12:01Z

setup.py

+    # `keras 3` becomes the default for `tensorflow >= 2.16.0``
+    # which is not yet supported by `transformers`
+    'tensorflow': [
+        'tensorflow>=2.0.0, !=2.6.0, !=2.6.1, <2.19.0',


should the min version for tf be 2.16.0 now?

sakoush · 2024-12-05T14:12:31Z

setup.py


-    'tensorflow': ['tensorflow>=2.0.0, !=2.6.0, !=2.6.1, <2.15.0'],
+    # `keras 3` becomes the default for `tensorflow >= 2.16.0``
+    # which is not yet supported by `transformers`


update comment as I am not sure how it relates to the version you are setting for example for tf_keras.

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,>=2.0.0 to >=2.0.0,!=2.6.0,!=2.6.1,<2.18.0 #1020

Closed

Upperbound spacy

39adc9f

RobertSamoilescu added 24 commits November 28, 2024 11:47

Upperbound tf to 2.16 because of keras 3 and transformers compatibility

5ec4b7b

Fixed PDP tests

ba44c42

Updated alibi-testing branch for testing purposes

cc47fc5

Modified keras import

b3641a8

Revert "Modified keras import"

9eeb657

This reverts commit b3641a8.

Included keras legacy

eee40d5

Fixed setup.py

5a1f10c

Fixed IG tests

b17b03e

Fixed cfrl tests

3e17adf

Fixed cfrl saving

4af6c22

Replace tf.keras with legacy keras

ca0dd4d

Fixed cfproto tests

138c212

Refactored and fixed tf1 tests

1db3f74

Fixed flake8 issues

8623ecc

Fixed mypy issues

a916ec7

Removed python3.8 from ci

9c0007e

Fixed tf1 tests

48f2fab

Improved linting

791f7af

Included test makefile entry

93e81e1

Included tf_legacy for doc examples

64beec2

Temp trigger the test for notebooks on push

1f3bdc9

Removed python 3.8 from test_all_notebooks

8f86bd2

Fixed test make command

ea0f2cb

Included tf_legacy to more notebooks

77a0a46

RobertSamoilescu added 3 commits December 5, 2024 09:45

Removed legacy keras import

a39d198

Fixed path dependent tree shap notebook

f9db0d3

Reverted dev requirements and test notebooks workflow

f715c9d

RobertSamoilescu requested a review from sakoush December 5, 2024 11:45

sakoush approved these changes Dec 5, 2024

View reviewed changes

Set lowerbound for tf

9d4088e

RobertSamoilescu merged commit e04a354 into master Dec 5, 2024
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dependabot bot deleted the dependabot/pip/tensorflow-gte-2.0.0-and-neq-2.6.0-and-neq-2.6.1-and-lt-2.19.0 branch December 5, 2024 15:07

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Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.0.0 to >=2.0.0,!=2.6.0,!=2.6.1,<2.19.0 #1023

Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.0.0 to >=2.0.0,!=2.6.0,!=2.6.1,<2.19.0 #1023

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Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.0.0 to >=2.0.0,!=2.6.0,!=2.6.1,<2.19.0 #1023

Update tensorflow requirement from !=2.6.0,!=2.6.1,<2.15.0,>=2.0.0 to >=2.0.0,!=2.6.0,!=2.6.1,<2.19.0 #1023

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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

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