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[PT] Bump pytorch 2.10.0 #3852

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6a3d92f
pytorch 2.10.0
AlexanderDokuchaev Jan 22, 2026
d0aeb66
batch_norm
AlexanderDokuchaev Jan 22, 2026
137db9c
t
AlexanderDokuchaev Jan 22, 2026
6b0b1f6
ref
AlexanderDokuchaev Mar 10, 2026
4057d94
ultralytics==8.4.21
AlexanderDokuchaev Mar 10, 2026
159af4f
gptq
AlexanderDokuchaev Mar 10, 2026
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ref
AlexanderDokuchaev Mar 10, 2026
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gptq revert
AlexanderDokuchaev Mar 11, 2026
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AlexanderDokuchaev Mar 11, 2026
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4 changes: 2 additions & 2 deletions constraints.txt
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Expand Up @@ -2,8 +2,8 @@
openvino==2026.0.0

# Pytorch
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
torchao==0.15.0

# ONNX
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4 changes: 2 additions & 2 deletions docs/Installation.md
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Expand Up @@ -48,7 +48,7 @@ as well as the supported versions of Python:

| NNCF | OpenVINO | PyTorch | ONNX | TensorFlow | Python |
|-----------|------------|----------|----------|------------|--------|
| `develop` | `2026.0.0` | `2.9.0` | `1.20.1` | | `3.10` |
| `develop` | `2026.0.0` | `2.10.0` | `1.20.1` | | `3.10` |
| `3.0.0` | `2026.0.0` | `2.9.0` | `1.17.0` | | `3.10` |
| `2.19.0` | `2025.4.0` | `2.8.0` | `1.17.0` | `2.15.1` | `3.10` |
| `2.18.0` | `2025.3.0` | `2.8.0` | `1.17.0` | `2.15.1` | `3.10` |
Expand All @@ -71,4 +71,4 @@ as well as the supported versions of Python:

> (*) Python 3.9 or higher is required for TensorFlow 2.15.1

This repository is tested on Python* 3.10.14, PyTorch* 2.9.0 (NVidia CUDA\* Toolkit 12.6).
This repository is tested on Python* 3.10.14, PyTorch* 2.10.0 (NVidia CUDA\* Toolkit 12.6).
2 changes: 1 addition & 1 deletion examples/llm_compression/onnx/tiny_llama/requirements.txt
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Expand Up @@ -6,4 +6,4 @@ optimum==2.1.0
onnx==1.20.1
onnxruntime==1.23.2; python_version < '3.11'
onnxruntime==1.24.3; python_version >= '3.11'
torch==2.9.0
torch==2.10.0
2 changes: 1 addition & 1 deletion examples/llm_compression/onnx/tiny_llama_scale_estimation/requirements.txt
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@@ -1,4 +1,4 @@
torch==2.9.0
torch==2.10.0
transformers==4.53.0
openvino==2026.0.0
optimum-intel[openvino]==1.27.0
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4 changes: 2 additions & 2 deletions examples/llm_compression/openvino/smollm2_360m_adaptive_codebook/requirements.txt
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Expand Up @@ -5,5 +5,5 @@ optimum-onnx==0.1.0
optimum==2.1.0
transformers==4.53.0
onnx==1.20.1
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
4 changes: 2 additions & 2 deletions examples/llm_compression/openvino/smollm2_360m_codebook/requirements.txt
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Expand Up @@ -4,5 +4,5 @@ optimum-onnx==0.1.0
optimum==2.1.0
transformers==4.53.0
onnx==1.20.1
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
2 changes: 1 addition & 1 deletion examples/llm_compression/openvino/smollm2_360m_fp8/requirements.txt
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Expand Up @@ -5,4 +5,4 @@ optimum-onnx==0.1.0
optimum==2.1.0
transformers==4.53.0
onnx==1.20.1
torch==2.9.0
torch==2.10.0
2 changes: 1 addition & 1 deletion examples/llm_compression/openvino/tiny_llama/requirements.txt
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Expand Up @@ -4,5 +4,5 @@ openvino==2026.0.0
optimum-intel[openvino]==1.27.0
optimum-onnx==0.1.0
optimum==2.1.0
torch==2.9.0
torch==2.10.0
transformers==4.53.0
2 changes: 1 addition & 1 deletion examples/llm_compression/openvino/tiny_llama_find_hyperparams/requirements.txt
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Expand Up @@ -6,4 +6,4 @@ optimum-onnx==0.1.0
optimum==2.1.0
transformers==4.53.0
onnx==1.20.1
torch==2.9.0
torch==2.10.0
2 changes: 1 addition & 1 deletion examples/llm_compression/openvino/tiny_llama_synthetic_data/requirements.txt
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@@ -1,4 +1,4 @@
torch==2.9.0
torch==2.10.0
datasets==4.6.1
numpy>=1.23.5,<2
openvino==2026.0.0
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2 changes: 1 addition & 1 deletion examples/llm_compression/torch/distillation_qat_with_lora/requirements.txt
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tensorboard==2.13.0
torch==2.9.0
torch==2.10.0
torchao==0.15.0
numpy>=1.23.5,<2
openvino==2026.0.0
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2 changes: 1 addition & 1 deletion examples/llm_compression/torch/downstream_qat_with_nls/requirements.txt
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tensorboard==2.13.0
torch==2.9.0
torch==2.10.0
numpy>=1.23.5,<2
openvino==2026.0.0
optimum-intel==1.27.0
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5 changes: 3 additions & 2 deletions examples/llm_compression/torch/gptq_model_convertor/requirements.txt
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@@ -1,2 +1,3 @@
torch==2.9.0
transformers==4.53.0
torch==2.10.0
# TODO(AlexanderDokuchaev): remove transformers next release gptqmodel https://github.com/ModelCloud/GPTQModel/issues/2328
transformers==4.57.6
2 changes: 0 additions & 2 deletions examples/llm_compression/torch/gptq_model_convertor/requirements_extra.txt
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@@ -1,3 +1 @@
gptqmodel==5.6.12
# TODO(AlexanderDokuchaev): remove transformers next release gptqmodel https://github.com/ModelCloud/GPTQModel/issues/2328
transformers==4.57.6
4 changes: 2 additions & 2 deletions examples/llm_compression/torch_fx/tiny_llama/requirements.txt
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Expand Up @@ -2,6 +2,6 @@ transformers==4.53.0
datasets==4.6.1
openvino==2026.0.0
optimum==2.1.0
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
torchao==0.15.0
4 changes: 2 additions & 2 deletions examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt
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@@ -1,5 +1,5 @@
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
fastdownload==0.0.7
fastprogress==1.0.5
fastcore==1.11.5
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2 changes: 1 addition & 1 deletion ...es/post_training_quantization/onnx/yolov8_quantize_with_accuracy_control/requirements.txt
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Expand Up @@ -3,4 +3,4 @@ onnx==1.20.1
onnxruntime==1.23.2; python_version < '3.11'
onnxruntime==1.24.3; python_version >= '3.11'
openvino==2026.0.0
torch==2.9.0
torch==2.10.0
4 changes: 2 additions & 2 deletions examples/post_training_quantization/openvino/yolo26/requirements.txt
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@@ -1,4 +1,4 @@
ultralytics==8.4.7
ultralytics==8.4.21
onnx==1.20.1
openvino==2026.0.0
torch==2.9.0
torch==2.10.0
2 changes: 1 addition & 1 deletion ...ost_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt
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ultralytics==8.3.221
onnx==1.20.1
openvino==2026.0.0
torch==2.9.0
torch==2.10.0
4 changes: 2 additions & 2 deletions examples/post_training_quantization/torch/mobilenet_v2/requirements.txt
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Expand Up @@ -3,5 +3,5 @@ fastprogress==1.0.5
fastcore==1.11.5
openvino==2026.0.0
scikit-learn
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
4 changes: 2 additions & 2 deletions examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt
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Expand Up @@ -4,7 +4,7 @@ fastcore==1.11.5
onnx==1.20.1
openvino==2026.0.0
pycocotools==2.0.7
torch==2.9.0
torch==2.10.0
torchmetrics==1.0.1
torchvision==0.24.0
torchvision==0.25.0
numpy<2
4 changes: 2 additions & 2 deletions examples/post_training_quantization/torch_fx/resnet18/requirements.txt
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Expand Up @@ -2,6 +2,6 @@ fastdownload==0.0.7
fastprogress==1.0.5
fastcore==1.11.5
openvino==2026.0.0
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
torchao==0.15.0
4 changes: 2 additions & 2 deletions examples/pruning/torch/resnet18/requirements.txt
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Expand Up @@ -2,5 +2,5 @@ fastdownload==0.0.7
fastprogress==1.0.5
fastcore==1.11.5
openvino==2026.0.0
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
2 changes: 1 addition & 1 deletion examples/quantization_aware_training/torch/anomalib/requirements.txt
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@@ -1,5 +1,5 @@
anomalib==2.2.0
torch==2.9.0
torch==2.10.0
openvino==2025.3.0
requests==2.32.5
matplotlib==3.10.7
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4 changes: 2 additions & 2 deletions examples/quantization_aware_training/torch/resnet18/requirements.txt
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Expand Up @@ -2,5 +2,5 @@ fastdownload==0.0.7
fastprogress==1.0.5
fastcore==1.11.5
openvino==2026.0.0
torch==2.9.0
torchvision==0.24.0
torch==2.10.0
torchvision==0.25.0
3 changes: 3 additions & 0 deletions src/nncf/torch/function_hook/handle_inner_functions.py
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Expand Up @@ -286,6 +286,9 @@ def batch_norm(
if training:
_verify_batch_size(input.size())

if eps <= 0.0:
raise ValueError(f"batch_norm eps must be positive, but got {eps}")

return torch.batch_norm(
input, weight, bias, running_mean, running_var, training, momentum, eps, torch.backends.cudnn.enabled
)
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2 changes: 1 addition & 1 deletion tests/cross_fw/examples/example_scope.json
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Expand Up @@ -325,7 +325,7 @@
"cpu": "Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz",
"accuracy_tolerance": 0.1,
"accuracy_metrics": {
"best_ov_perplexity": 32.26
"best_ov_perplexity": 32.37
}
},
"llm_compression_qat_with_nls": {
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