Closed chunyeow closed 2 years ago
are you looking for this: https://github.com/google-coral/libedgetpu/blob/master/workspace.bzl#L9 ?
$ python3 -c 'print(import("tflite_runtime").version)' 2.5.0.post1
The libedgetpu-dev over my coral dev mini is upgraded to version 16.0. So which TENSORFLOW_COMMIT should I used for?
Based on my understanding below: "Clone the TensorFlow repo using the TENSORFLOW_COMMIT version specified here—that's the version used to build the libedgetpu.so library, so your TensorFlow version must match. "
So I am looking for TENSORFLOW_COMMIT version that I should use to build my TensorFlow.
please use this commit: https://github.com/google-coral/libedgetpu/blob/master/workspace.bzl#L9
Description
What is the TENSORFLOW_COMMIT for the following libedgetpu (16) version: ii libedgetpu-dev 16.0 arm64 Development files for libedgetpu ii libedgetpu1-std:arm64 16.0 arm64 Support library for Edge TPU
Any source of reference?
Click to expand!
### Issue Type Build/Install ### Operating System Ubuntu ### Coral Device Dev Board Mini ### Other Devices _No response_ ### Programming Language Other ### Relevant Log Output ```shell ./mendelcam --model ../all_models/mobilenet_v2_1.0_224_quant_edgetpu.tflite --labels ../all_models/imagenet_labels.txt ERROR: Internal: Unsupported data type in custom op handler: 0 ERROR: Node number 1 (EdgeTpuDelegateForCustomOp) failed to prepare. Error at inferencewrapper.cc:60 ```