Re: Mismatch opcode version TRANSPOSE

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Advait Jain

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Oct 15, 2021, 2:12:36 PMOct 15
to Terry (Woncheol) Heo, SIG micro, TensorFlow Lite, ant...@wisear.io

On Fri, Oct 15, 2021 at 11:11 AM Advait Jain <advai...@google.com> wrote:
Can you try the latest TFLM Arduino library from this repository and let us know if you continue to run into this issue?

Cross-linking the issue that you had created on the TFLM repository for completeness: https://github.com/tensorflow/tflite-micro/issues/566

And please feel free to ask TFLM-specific questions via a github issue on the TFLM repository or the SIG-micro mailing list.



On Thu, Oct 7, 2021 at 9:32 PM 'Terry (Woncheol) Heo' via TensorFlow Lite <tfl...@tensorflow.org> wrote:
Please check the example code how to create your own OpResolver.

You should have something like `micro_op_resolver.AddTranspose()`.

Or just simply use AllOpsResolver.

Terry

On Tuesday, October 5, 2021 at 4:08:37 PM UTC+9 ant...@wisear.io wrote:
Hi Terry,

Thanks for your quick answer.

I used the default imports in my Arduino code :

```
...
#include <TensorFlowLite.h>
#include <tensorflow/lite/micro/all_ops_resolver.h>
#include <tensorflow/lite/micro/micro_error_reporter.h>
#include <tensorflow/lite/micro/micro_interpreter.h>
#include <tensorflow/lite/schema/schema_generated.h>
#include <tensorflow/lite/version.h>
...
```
I have found this issue, which is related to my problem. Would you have any recommendation to generate my own .zip Arduino library?

Antoine

On Tuesday, October 5, 2021 at 6:18:54 AM UTC+2 Terry (Woncheol) Heo wrote:
Hi, Antoine

Did you use AllOpsResolver?
If you're using your own MicroMutableOpResolver, you should register op kernels you're using.

Terry

On Tue, Oct 5, 2021 at 3:35 AM Antoine Lebaud <ant...@wisear.io> wrote:

Hi everyone,

I am trying to use a TensorFlow model converted to TFLite Micro on my Arduino BLE, however I got the following error.

```

Didn't find op for builtin opcode 'TRANSPOSE' version '2'. An older version of this builtin might be supported. Are you using an old TFLite binary with a newer model?

Failed to get registration from op code TRANSPOSE

 Failed starting model allocation.

Invoke() called after initialization failed

Invoke failed!

```

I have checked the arduino tensorflow lite library version, that the latest. 

I have used tensorflow-2.6.0 to train and convert my model.


My conversion code:

```

# Convert the model to the TensorFlow Lite format without quantization
converter = tf.lite.TFLiteConverter.from_keras_model(origin_model)

converter.target_spec.supported_ops = [
tf.lite.OpsSet.TFLITE_BUILTINS, # enable TensorFlow Lite ops.
]

tflite_model = converter.convert()

# Save the model to disk
open(FOLDER_DRIVE_MODEL_DL + 'tflite/' + tflite_model_name + ".tflite", "wb").write(tflite_model)

```

My converted model architecture:

stellar-shadow-117.png

In any case, don’t hesitate to correct me if I am wrong.


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