[PyOV] Batch upgrade FE dependencies for Python 3.13 precommit

tests/e2e_tests/pipelines/tf_hub/nightly.yml

@@ -1,7 +1,7 @@
 universal-sentence-encoder,https://tfhub.dev/google/universal-sentence-encoder/4?tf-hub-format=compressed
 imagenet/mobilenet_v1_100_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/classification/5?tf-hub-format=compressed
 imagenet/mobilenet_v2_100_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/5?tf-hub-format=compressed
-universal-sentence-encoder-multilingual,https://tfhub.dev/google/universal-sentence-encoder-multilingual/3?tf-hub-format=compressed
+universal-sentence-encoder-multilingual,https://tfhub.dev/google/universal-sentence-encoder-multilingual/3?tf-hub-format=compressed,skip,ticket 179327
 universal-sentence-encoder-large,https://tfhub.dev/google/universal-sentence-encoder-large/5?tf-hub-format=compressed
 imagenet/mobilenet_v2_075_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_075_224/classification/5?tf-hub-format=compressed
 movenet/singlepose/lightning,https://tfhub.dev/google/movenet/singlepose/lightning/4?tf-hub-format=compressed

tests/model_hub_tests/tensorflow/model_lists/nightly_tf_hub

@@ -1,7 +1,7 @@
 universal-sentence-encoder,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/universal-sentence-encoder/versions/2,xfail,128994 127962 128995 128996 unsupported operations LookupTableFindV2 LookupTableSizeV2 SparseFillEmptyRows StaticRegexReplace StringSplit StringToHashBucketFast
 imagenet/mobilenet_v1_100_224/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/100-224-classification/versions/2
 imagenet/mobilenet_v2_100_224/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-224-classification/versions/2
-universal-sentence-encoder-multilingual,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual/versions/2
+universal-sentence-encoder-multilingual,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual/versions/2,skip,ticket 179327
 universal-sentence-encoder-large,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/large/versions/2,xfail,128994 127962 128995 128996 unsupported operations LookupTableFindV2 LookupTableSizeV2 SparseFillEmptyRows StaticRegexReplace StringSplit StringToHashBucketFast
 imagenet/mobilenet_v2_075_224/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-224-classification/versions/2
 movenet/singlepose/lightning,https://www.kaggle.com/models/google/movenet/frameworks/tensorFlow2/variations/singlepose-lightning/versions/4

tests/model_hub_tests/tensorflow/model_lists/precommit_convert_model

@@ -25,7 +25,7 @@ planet/vision/classifier/planet_v2,https://www.kaggle.com/models/google/planet-v
 # TF1 models in .pb format
 i3d-rgb,https://storage.openvinotoolkit.org/repositories/open_model_zoo/public/2022.1/i3d-rgb-tf/rgb.frozen.pb
 # Model with SentencePiece tokenizer, use openvino-tokenizers package
-universal-sentence-encoder-multilingual,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual/versions/2
+universal-sentence-encoder-multilingual,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual/versions/2,skip,ticket 179327
 # Hugging Face Models
 microsoft/deberta-v3-small,hf_transformers
 facebook/convnext-tiny-224,hf_transformers

tests/model_hub_tests/tensorflow/model_lists/precommit_read_model

@@ -2,7 +2,7 @@
 mil-nce/s3d,https://www.kaggle.com/models/deepmind/mil-nce/frameworks/tensorFlow1/variations/s3d/versions/1
 # models from precommit_convert_model
 yamnet,https://www.kaggle.com/models/google/yamnet/frameworks/tensorFlow2/variations/yamnet/versions/1
-universal-sentence-encoder-multilingual,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual/versions/2
+universal-sentence-encoder-multilingual,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual/versions/2,skip,ticket 179327
 movenet/singlepose/lightning,https://www.kaggle.com/models/google/movenet/frameworks/tensorFlow2/variations/singlepose-lightning/versions/4
 imagenet/resnet_v2_50/feature_vector,https://www.kaggle.com/models/google/resnet-v2/frameworks/tensorFlow2/variations/50-feature-vector/versions/2
 # LookupTableImportV2 is terminating node and is needed for conversion

tests/model_hub_tests/tensorflow/requirements.txt

@@ -4,6 +4,6 @@ pytest
 pytest-html
 tensorflow
 tensorflow-hub
-tensorflow-text
+#tensorflow-text # ticket 179327
 transformers
 tf-sentence-transformers

tests/model_hub_tests/tensorflow/test_tf_convert_model.py

@@ -11,7 +11,7 @@
 import tensorflow.compat.v1 as tf_v1
 import tensorflow_hub as hub
 # noinspection PyUnresolvedReferences
-import tensorflow_text  # do not delete, needed for text models
+#import tensorflow_text  # do not delete, needed for text models. Commended due to ticket 179327
 from huggingface_hub import snapshot_download
 from models_hub_common.test_convert_model import TestConvertModel
 from models_hub_common.utils import get_models_list

tests/model_hub_tests/tensorflow/test_tf_read_model.py

@@ -9,7 +9,7 @@
 import tensorflow as tf
 import tensorflow_hub as hub
 # noinspection PyUnresolvedReferences
-import tensorflow_text  # do not delete, needed for text models
+#import tensorflow_text  # do not delete, needed for text models. Commented due to ticket 179327
 from models_hub_common.test_convert_model import TestConvertModel
 from models_hub_common.utils import get_models_list
 from openvino import Core, PartialShape

tests/requirements_pytorch

@@ -18,7 +18,7 @@ defusedxml==0.7.1
 
 autoawq==0.2.7; platform_system == "Linux" and platform_machine == "x86_64"
 # triton is a dependency of autoawq, newer versions lead to TorchFX test failures
-triton==3.1.0; platform_system == "Linux" and platform_machine == "x86_64"
+triton==3.5.1; platform_system == "Linux" and platform_machine == "x86_64"
 auto-gptq==0.7.1; platform_system == "Linux" and platform_machine == "x86_64" and python_version < "3.12"
 # peft is a dependency of auto-gptq, newer versions lead to gptq model loading failures
 peft==0.17.1; platform_system == "Linux" and platform_machine == "x86_64" and python_version < "3.12"
@@ -30,10 +30,10 @@ facexlib==0.3.0; python_version < "3.12"
 librosa==0.10.2; python_version < "3.12"
 packaging==24.1
 pandas==2.2.3
-protobuf==5.28.2
+protobuf==5.28.3
 pyctcdecode==0.5.0; python_version < "3.12"
 sacremoses==0.1.1
-sentencepiece==0.2.0
+sentencepiece==0.2.1
 soundfile==0.12.1
 super-image==0.1.7; python_version < "3.12"
 timm==1.0.24
@@ -48,7 +48,7 @@ huggingface-hub==0.25.2
 # It will be discussed in the future how to manage versioning of the components properly.
 git+https://github.com/huggingface/optimum-intel.git@8ba536cd0a2bf93e9e88408b0048a7695db5be0b; python_version < "3.12"
 # set 'export HF_HUB_ENABLE_HF_TRANSFER=1' to benefits from hf_transfer
-hf_transfer==0.1.8
+hf_transfer==0.1.9
 
 # requirements for specific models
 # - hf-tiny-model-private/tiny-random-RoFormerForCausalLM

tests/requirements_tensorflow

@@ -3,23 +3,22 @@
 # tensorflow-intel 2.18.0 depends on numpy<2.1.0 and >=1.26.0
 # tensorflow 2.16.2 depends on numpy<2.0.0 and >=1.26.0; python_version >= "3.12"
 numpy==1.26.4; python_version < "3.12" or platform_system == "Darwin" and platform_machine == "x86_64"
-numpy==2.0.2; python_version >= "3.12" and (platform_system != "Darwin" or platform_machine != "x86_64")
-pytest==7.0.1; python_version < '3.10'
-pytest==7.2.0; python_version >= '3.10'
+numpy==2.2.6; python_version >= "3.12" and (platform_system != "Darwin" or platform_machine != "x86_64")
+pytest==7.2.0
 pytest-xdist[psutil]==3.6.1
 pytest-html==4.2.0
 transformers==4.45.1
 # install exact keras version since tensorflow depends and has no upper bound for it
-keras==3.8.0
-tensorflow==2.18.0; platform_system != "Darwin" or platform_machine != "x86_64"
+keras==3.13.0; python_version >= "3.13"
+keras==3.12.0; python_version < "3.13"
+tensorflow==2.20.0; platform_system != "Darwin" or platform_machine != "x86_64"
 tensorflow==2.16.2; platform_system == "Darwin" and platform_machine == "x86_64"
 # install explicit version of wrapt to avoid "this __dict__ descriptor does not support '_DictWrapper' objects" error from TensorFlow 2.18
 wrapt==1.15.0; python_version >= "3.12"
 # tensorflow-text is not available for both Windows and ARM platforms
-tensorflow-text==2.18.0; python_version < "3.12" and platform_system == "Linux" and platform_machine == "x86_64"
+#tensorflow-text==2.19.0; python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64" # ticket 179327
 tensorflow-hub==0.16.1
-jax==0.5.0; (platform_system != "Darwin" or platform_machine != "x86_64") and python_version > "3.9"
+jax==0.5.0; (platform_system != "Darwin" or platform_machine != "x86_64")
 # tensorflow 2.16.2 depends on ml-dtypes~=0.3.1 and jax 0.4.35 depends on ml-dtypes>=0.4.0
-jax==0.4.33; (platform_system == "Darwin" and platform_machine == "x86_64") and python_version > "3.9"
-jax==0.4.30; python_version <= "3.9"
+jax==0.4.33; (platform_system == "Darwin" and platform_machine == "x86_64")
 defusedxml==0.7.1