Cannot initialise YAMNet using TF 2.16.1

[hzhongresearch]

Prerequisites

Please answer the following questions for yourself before submitting an issue.

• [✔ ] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
• [✔ ] I am reporting the issue to the correct repository. (Model Garden official or research directory)
• [✔ ] I checked to make sure that this issue has not already been filed.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/blob/8da4857396fcedb1abd19a08cd4de40d16c7bc50/research/audioset/yamnet/yamnet.py https://github.com/tensorflow/models/blob/8da4857396fcedb1abd19a08cd4de40d16c7bc50/research/audioset/yamnet/params.py

2. Describe the bug

@plakal @dpwe Cannot initialise YAMNet using TF 2.16.1.

3. Steps to reproduce

Steps to reproduce the behavior.

import yamnet
import params
mymodel = yamnet.yamnet_frames_model(params=params.Params)

4. Expected behavior

A clear and concise description of what you expected to happen.

The code should return a YAMNet model.

5. Additional context

Include any logs that would be helpful to diagnose the problem.

The following is the error message.

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/henry/models/research/audioset/yamnet/yamnet.py", line 121, in yamnet_frames_model
    waveform_padded = features_lib.pad_waveform(waveform, params)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/henry/models/research/audioset/yamnet/features.py", line 91, in pad_waveform
    num_samples = tf.shape(waveform)[0]
                  ^^^^^^^^^^^^^^^^^^
  File "/home/henry/env_yamnet/lib/python3.11/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/home/henry/env_yamnet/lib/python3.11/site-packages/keras/src/backend/common/keras_tensor.py", line 91, in __tf_tensor__
    raise ValueError(
ValueError: A KerasTensor cannot be used as input to a TensorFlow function. A KerasTensor is a symbolic placeholder for a shape and dtype, used when constructing Keras Functional models or Keras Functions. You can only use it as input to a Keras layer or a Keras operation (from the namespaces `keras.layers` and `keras.operations`). You are likely doing something like:

x = Input(...)
...
tf_fn(x)  # Invalid.

What you should do instead is wrap `tf_fn` in a layer:

class MyLayer(Layer):
    def call(self, x):
        return tf_fn(x)

x = MyLayer()(x)

6. System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Debian 12 on WSL2
• TensorFlow installed from (source or binary): binary
• TensorFlow version (use command below): 2.16.1
• Python version: 3.11.2

[russnes]

Same issue here using tensorflow-cpu 2.17.0. Works using tensorflow 2.11, but had to downgrade to python 3.7

[plakal]

Sorry for the late response. Neither me nor @dpwe were assigned this issue so we didn't notice until now. Looking into this.

[plakal]

TF 2.16.0 included an upgrade to Keras 3 by default, which includes many breaking changes. I've confirmed that our code still works if we stick with Keras 2 (which requires also installing tf_keras). I'll send a PR to switch us to Keras 2.

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