From edcd7417c2bddc1d9155fda86f078b11583c4b2a Mon Sep 17 00:00:00 2001 From: Narumol Prangnawarat Date: Mon, 25 May 2020 14:44:46 +0100 Subject: IVGCVSW-4792 Update armnn readme and support files * Add TPIP used by Arm NN * Add SqueezeNet to CaffeSupport.md * Add ResNet v2 50 to TensorFlowSupport.md * Update tested networks in TensorFlowLiteSupported.md Signed-off-by: Narumol Prangnawarat Change-Id: I15927ea600a3dfffee082933d32f235f3940730e --- README.md | 7 +++++++ src/armnnCaffeParser/CaffeSupport.md | 1 + src/armnnTfLiteParser/TensorFlowLiteSupport.md | 16 ++++++++++++++++ src/armnnTfParser/TensorFlowSupport.md | 2 ++ 4 files changed, 26 insertions(+) diff --git a/README.md b/README.md index 25dab0edf9..8766d3f184 100644 --- a/README.md +++ b/README.md @@ -50,6 +50,13 @@ Individual files contain the following tag instead of the full license text. This enables machine processing of license information based on the SPDX License Identifiers that are available here: http://spdx.org/licenses/ +TPIP used by Arm NN: + +| Name | License (SPDX ID) | +|------|-------------------| +| half | MIT | +| stb | MIT | + ### Contributions The Arm NN project welcomes contributions. For more details on contributing to Arm NN see the [Contributing page](https://mlplatform.org/contributing/) on the [MLPlatform.org](https://mlplatform.org/) website, or see the [Contributor Guide](ContributorGuide.md). diff --git a/src/armnnCaffeParser/CaffeSupport.md b/src/armnnCaffeParser/CaffeSupport.md index 5d998937de..ab0d3a4ab8 100644 --- a/src/armnnCaffeParser/CaffeSupport.md +++ b/src/armnnCaffeParser/CaffeSupport.md @@ -11,6 +11,7 @@ Although some other neural networks might work, Arm tests the Arm NN SDK with Ca - Yolov1_tiny. - Lenet. - MobileNetv1. +- SqueezeNet v1.0 and SqueezeNet v1.1 The Arm NN SDK supports the following machine learning layers for Caffe networks: diff --git a/src/armnnTfLiteParser/TensorFlowLiteSupport.md b/src/armnnTfLiteParser/TensorFlowLiteSupport.md index 88db0f07b2..f7828628cb 100644 --- a/src/armnnTfLiteParser/TensorFlowLiteSupport.md +++ b/src/armnnTfLiteParser/TensorFlowLiteSupport.md @@ -94,4 +94,20 @@ Arm tested these operators with the following TensorFlow Lite neural network: * DeepSpeaker +* [DeepLab v3+](https://www.tensorflow.org/lite/models/segmentation/overview) + +* FSRCNN + +* RDN converted from [TensorFlow model](https://github.com/hengchuan/RDN-TensorFlow) + +* Quantized RDN (CpuRef) + +* [Quantized Inception v3](http://download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz) + +* [Quantized Inception v4](http://download.tensorflow.org/models/inception_v4_299_quant_20181026.tgz) (CpuRef) + +* Quantized ResNet v2 50 (CpuRef) + +* Quantized Yolo v3 (CpuRef) + More machine learning operators will be supported in future releases. diff --git a/src/armnnTfParser/TensorFlowSupport.md b/src/armnnTfParser/TensorFlowSupport.md index 65839e2e57..2dc54b5f85 100644 --- a/src/armnnTfParser/TensorFlowSupport.md +++ b/src/armnnTfParser/TensorFlowSupport.md @@ -189,4 +189,6 @@ Arm tests these operators with the following TensorFlow fp32 neural networks: * inception_v3. The Arm NN SDK only supports the official inception_v3 transformed model. See the TensorFlow documentation on [preparing models for mobile deployment](https://www.tensorflow.org/mobile/prepare_models) for more information on how to transform the inception_v3 network. +* ResNet v2 50 implementation from the [TF Slim model zoo](https://github.com/tensorflow/models/tree/master/research/slim) + More machine learning operators will be supported in future releases. -- cgit v1.2.1