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2 changes: 0 additions & 2 deletions operators/README.md
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Expand Up @@ -103,11 +103,9 @@ If you are interested in a specific DLA operator to be enabled in TensorRT, feel
| Not | Reconstruction | Reconstruction | See [op_reconstruction/Not.py](op_reconstruction/Not.py)
| Or | Reconstruction | Reconstruction | See [op_reconstruction/Or.py](op_reconstruction/Or.py)
| Pad | [See RFE](#request-for-enhancements-rfe) | Native (as of DLA 3.14.0) |
| Div | Native (as of TensorRT 8.6.12) | Native (as of DLA 3.14.0) | See **ElementWise layer** in [Layer Support and Restrictions](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#dla-lay-supp-rest)
| PRelu | Native | Native | See **Parametric ReLU layer** in [Layer Support and Restrictions](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#dla-lay-supp-rest)
| QuantizeLinear | Reconstruction | Reconstruction | Can be collapsed to INT8 scaling factor, switching from explicit to implicit quantization
| Reciprocal | [See RFE](#request-for-enhancements-rfe) | Native (as of DLA 3.14.0) |
| GlobalMaxPool | Native (as of TensorRT 8.6.12) | Native | See **Reduce layer** in [Layer Support and Restrictions](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#dla-lay-supp-rest). Older releases: Can be reconstructed by decomposing into several MaxPool nodes.
| ReduceMean | [See RFE](#request-for-enhancements-rfe) | Native| Can be reconstructed by decomposing into several AveragePool or Conv nodes
| ReduceMin | [See RFE](#request-for-enhancements-rfe) | Native|
| ReduceLogSum | [See RFE](#request-for-enhancements-rfe) | Reconstruction (as of DLA 3.14.0) | Can be expressed with Log, ReduceSum and Exp
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