From eac5a72030650ccfa96a085f4244a99ef2fc5867 Mon Sep 17 00:00:00 2001 From: "M.Illiyin" <55222179+milliyin@users.noreply.github.com> Date: Fri, 10 Jan 2025 01:11:28 +0500 Subject: [PATCH] Update README.md Removed Debulicates on line 106 & 110 --- operators/README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/operators/README.md b/operators/README.md index 8aee93d..32d7eca 100644 --- a/operators/README.md +++ b/operators/README.md @@ -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