commit | 811f55d90be8e81772ee30f9a1042bf9c1a11394 | [log] [tgz] |
---|---|---|
author | Cindy Liu <hcindyl@google.com> | Mon Jul 11 19:57:21 2022 -0700 |
committer | Cindy Liu <hcindyl@google.com> | Thu Jul 21 17:22:59 2022 -0700 |
tree | a3912e0de4bc5b6e9a44e00d98488a5dd33f52a6 | |
parent | 2ab50f0c18e483bf4b0d503156c9eb02c0a19941 [diff] |
ml-models-public: Move model-related code away from sw/vec_iree Build the workload in the model project Change-Id: I92f3442d78071113ea4fed86beefd32b3657059c
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.