diff --git a/examples/llm_compression/torch_fx/tiny_llama/requirements.txt b/examples/llm_compression/torch_fx/tiny_llama/requirements.txt index 4b9b42e7234..73fcfe13636 100644 --- a/examples/llm_compression/torch_fx/tiny_llama/requirements.txt +++ b/examples/llm_compression/torch_fx/tiny_llama/requirements.txt @@ -1,4 +1,4 @@ -transformers==4.52.1 +transformers==4.53.2 datasets==2.14.7 openvino==2025.2.0 optimum==1.24.0 diff --git a/tests/openvino/requirements.txt b/tests/openvino/requirements.txt index 780be3bc905..118c8f05982 100644 --- a/tests/openvino/requirements.txt +++ b/tests/openvino/requirements.txt @@ -13,6 +13,6 @@ addict>=2.4.0 timm==0.9.2 efficientnet_pytorch==0.7.1 datasets==3.0.1 -transformers==4.52.1 -optimum-intel==1.24.0 -optimum==1.26.0 +transformers==4.53.2 +optimum-intel==1.25.1 +optimum==1.27.0 diff --git a/tests/post_training/requirements.txt b/tests/post_training/requirements.txt index 46333fb1256..3b3f89c3088 100644 --- a/tests/post_training/requirements.txt +++ b/tests/post_training/requirements.txt @@ -10,14 +10,14 @@ pytest-split librosa==0.10.0 memory-profiler==0.61.0 -optimum-intel==1.24.0 -optimum==1.26.0 +optimum-intel==1.25.1 +optimum==1.27.0 scikit-learn>=1.2.2,<=1.5.0 soundfile==0.12.1 tensorboard==2.13.0 tensorflow-io==0.32.0 timm==0.9.2 accelerate==1.1.0 -transformers==4.52.1 +transformers==4.53.2 whowhatbench @ git+https://github.com/openvinotoolkit/openvino.genai@2025.2.0.0#subdirectory=tools/who_what_benchmark datasets==3.1.0 diff --git a/tests/torch/data/reference_graphs/pruning_groups/Wave2Vec_2.0.dot b/tests/torch/data/reference_graphs/pruning_groups/Wave2Vec_2.0.dot index 2d5a04473f0..a84ce1a8921 100644 --- a/tests/torch/data/reference_graphs/pruning_groups/Wave2Vec_2.0.dot +++ b/tests/torch/data/reference_graphs/pruning_groups/Wave2Vec_2.0.dot @@ -1,49 +1,49 @@ -strict digraph { -0 [color=red, label="Block: S:1__O:0 +strict digraph { +0 [label="Block: S:1__O:0 Producers: 19 -Consumers: ", style=filled]; -1 [color=grey, label="Block: S:1__O:0 +Consumers: ", color=red, style=filled]; +1 [label="Block: S:1__O:0 Producers: 29 -Consumers: ", style=filled]; -2 [color=red, label="Block: S:24__O:0 +Consumers: ", color=grey, style=filled]; +2 [label="Block: S:24__O:0 Producers: 29 -Consumers: ", style=filled]; -3 [color=red, label="Block: S:1__O:24 +Consumers: ", color=red, style=filled]; +3 [label="Block: S:1__O:24 Producers: 29 -Consumers: ", style=filled]; -4 [color=grey, label="Block: S:1__O:0 -Producers: 30 -Consumers: ", style=filled]; -5 [color=red, label="Block: S:24__O:0 -Producers: 30 -Consumers: ", style=filled]; -6 [color=red, label="Block: S:1__O:24 -Producers: 30 -Consumers: ", style=filled]; -7 [color=grey, label="Block: S:1__O:0 -Producers: 34 -Consumers: ", style=filled]; -8 [color=red, label="Block: S:24__O:0 -Producers: 34 -Consumers: ", style=filled]; -9 [color=red, label="Block: S:1__O:24 -Producers: 34 -Consumers: ", style=filled]; -10 [color=red, label="Block: S:1__O:0 -Producers: 44 -Consumers: ", style=filled]; -11 [color=green, label="Block: S:1__O:0 -Producers: 48 -Consumers: 51", style=filled]; -12 [color=red, label="Block: S:1__O:0 -Producers: 51 -Consumers: ", style=filled]; -13 [color=red, label="Block: S:1__O:0 -Producers: 55 -Consumers: ", style=filled]; -14 [color=red, label="Block: S:1__O:0 +Consumers: ", color=red, style=filled]; +4 [label="Block: S:1__O:0 +Producers: 32 +Consumers: ", color=grey, style=filled]; +5 [label="Block: S:24__O:0 +Producers: 32 +Consumers: ", color=red, style=filled]; +6 [label="Block: S:1__O:24 +Producers: 32 +Consumers: ", color=red, style=filled]; +7 [label="Block: S:1__O:0 +Producers: 35 +Consumers: ", color=grey, style=filled]; +8 [label="Block: S:24__O:0 +Producers: 35 +Consumers: ", color=red, style=filled]; +9 [label="Block: S:1__O:24 +Producers: 35 +Consumers: ", color=red, style=filled]; +10 [label="Block: S:1__O:0 +Producers: 46 +Consumers: ", color=red, style=filled]; +11 [label="Block: S:1__O:0 +Producers: 50 +Consumers: 53", color=green, style=filled]; +12 [label="Block: S:1__O:0 +Producers: 53 +Consumers: ", color=red, style=filled]; +13 [label="Block: S:1__O:0 Producers: 57 -Consumers: ", style=filled]; +Consumers: ", color=red, style=filled]; +14 [label="Block: S:1__O:0 +Producers: 59 +Consumers: ", color=red, style=filled]; 1 -> 2; 1 -> 3; 4 -> 5; diff --git a/tests/torch/pruning/experimental/test_nodes_grouping.py b/tests/torch/pruning/experimental/test_nodes_grouping.py index 830ace3e8ff..42cdce9c981 100644 --- a/tests/torch/pruning/experimental/test_nodes_grouping.py +++ b/tests/torch/pruning/experimental/test_nodes_grouping.py @@ -419,7 +419,7 @@ def __str__(self) -> str: ), ), ref_groups=[ - PruningGroup(block=PruningBlock(), producers={ProducerInfo(48)}, consumers={ConsumerInfo(51)}), + PruningGroup(block=PruningBlock(), producers={ProducerInfo(50)}, consumers={ConsumerInfo(53)}), ], ), ] diff --git a/tests/torch/requirements.txt b/tests/torch/requirements.txt index 2c2a4c1c5ff..c5915ca77b3 100644 --- a/tests/torch/requirements.txt +++ b/tests/torch/requirements.txt @@ -12,7 +12,7 @@ virtualenv # Required for search_building_blocks tests accelerate==1.1.0 -transformers==4.52.1 +transformers==4.53.2 # Required for movement_sparsity tests datasets==3.0.1 @@ -26,5 +26,5 @@ torchvision fastdownload==0.0.7 sentence-transformers>=2.2.2 -optimum-intel==1.24.0 -optimum==1.26.0 +optimum-intel==1.25.1 +optimum==1.27.0 diff --git a/tests/torch2/requirements.txt b/tests/torch2/requirements.txt index 5fb8fa34712..0131002ecc0 100644 --- a/tests/torch2/requirements.txt +++ b/tests/torch2/requirements.txt @@ -12,10 +12,10 @@ torchvision addict>=2.4.0 efficientnet_pytorch==0.7.1 -transformers==4.52.1 +transformers==4.53.2 sentence-transformers==4.1.0 -optimum-intel==1.24.0 -optimum==1.26.0 +optimum-intel==1.25.1 +optimum==1.27.0 accelerate==1.1.0 fastdownload==0.0.7