@@ -17,7 +17,7 @@ limitations under the License.
1717# Changelog
1818
1919
20- ## 0.14.0 (unreleased)
20+ ## 0.14.0
2121- new: TensorRT INT8 and FP8 quantization through ModelOpt (ONNX path)
2222- new: TensorRT NVFP4 quantization through ModelOpt (Torch path)
2323- new: Improved TorchCompile performance for repeated compilations using TORCHINDUCTOR_CACHE_DIR environment variable
@@ -32,6 +32,22 @@ limitations under the License.
3232- fix: Correctness command relative tolerance formula
3333- fix: Memory management during export and conversion process for Torch
3434
35+ [ // ] : < > ( put here on external component update with short summary what change or link to changelog )
36+
37+ - Version of external components used during testing:
38+ - [ PyTorch 2.7.0a0+7c8ec84dab] ( https://github.com/pytorch/pytorch/commit/7c8ec84dab7dc10d4ef90afc93a49b97bbd04503 )
39+ - [ TensorFlow 2.17.0] ( https://github.com/tensorflow/tensorflow/releases/tag/v2.17.0 )
40+ - [ TensorRT 10.9.0.34] ( https://docs.nvidia.com/deeplearning/tensorrt/release-notes/index.html )
41+ - [ TensorRT ModelOptimizer 0.27.0] ( https://github.com/NVIDIA/TensorRT-Model-Optimizer/releases/tag/0.27.0 )
42+ - [ Torch-TensorRT 2.7.0a0] ( https://github.com/NVIDIA/Torch-TensorRT )
43+ - [ ONNX Runtime 1.20.2] ( https://github.com/microsoft/onnxruntime/releases/tag/v1.20.2 )
44+ - [ Polygraphy 0.49.20] ( https://github.com/NVIDIA/TensorRT/tree/master/tools/Polygraphy/ )
45+ - [ GraphSurgeon 0.5.8] ( https://github.com/NVIDIA/TensorRT/tree/master/tools/onnx-graphsurgeon/ )
46+ - [ tf2onnx v1.16.1] ( https://github.com/onnx/tensorflow-onnx/releases/tag/v1.16.1 )
47+ - Other component versions depend on the used framework containers versions.
48+ See its [ support matrix] ( https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html )
49+ for a detailed summary.
50+
3551## 0.13.0
3652
3753- new: Introducing custom_args in TensorConfig for custom runners to use which
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