commit | 403d134e75614ea54cb4a6d41b6398e912b9d7f0 | [log] [tgz] |
---|---|---|
author | Cindy Liu <hcindyl@google.com> | Wed Aug 03 16:12:45 2022 -0700 |
committer | Cindy Liu <hcindyl@google.com> | Wed Aug 03 16:12:45 2022 -0700 |
tree | 1e3f65768b5609ce9a52c6c617f5ed27d2326b37 | |
parent | 811f55d90be8e81772ee30f9a1042bf9c1a11394 [diff] |
ml-models-public: Mark emitc_static test result as XFAIL Bug: 241254202 Change-Id: Iac8acd2e9e0f0eabf350d4cebc79fec72bee5bd8
This is the model zoo for public models used in Shodan vector core examples.
The person presence detection quantized model from https://github.com/tensorflow/tflite-micro/blob/main/tensorflow/lite/micro/models/person_detect.tflite
Mobilenet V1 float-point model from https://tfhub.dev/tensorflow/lite-model/mobilenet_v1_0.25_224/1/default/1?lite-format=tflite
Mobilenet V1 quantized model from https://tfhub.dev/tensorflow/lite-model/mobilenet_v1_0.25_224_quantized/1/default/1?lite-format=tflite
Mobilenet V2 quantized model from https://tfhub.dev/tensorflow/lite-model/mobilenet_v2_1.0_224_quantized/1/default/1?lite-format=tflite
For tflite models, use the web-based visualization tool to inspect the file. The tool supports drag and drop or file GUI.
For each model, the corresponding model executable under iree_exec
can be built with the .c/.h files using sw/vec_iree
project as library. They can be run as unit tests via lit framework using Renode or QEMU.