Hey there! Let's break down and fix the issues you're facing as a new TensorFlow user.

What's causing the problem? #

The errors you're seeing are mostly due to TensorFlow version compatibility:

1. The TOCO failed error comes from using the deprecated lite.TocoConverter class, which was replaced in TensorFlow 2.x with a more streamlined converter.
2. The ImportError: cannot import name 'audio' is likely a side effect of either an incomplete TensorFlow installation or version conflicts in your environment.

Step-by-Step Solutions #

1. Update TensorFlow to the latest stable version

First, make sure you're running a recent, supported version of TensorFlow. Uninstall the old version and install the latest:

pip uninstall tensorflow -y
pip install tensorflow

2. Replace the deprecated TocoConverter with TF Lite's modern converter

In TensorFlow 2.x, TocoConverter is no longer the recommended way to convert Keras models. Use tf.lite.TFLiteConverter instead. You can even skip saving the Keras model to an .h5 file and convert the trained model directly for simplicity.

Here's your modified, working code:

import tensorflow as tf
import numpy as np
from tensorflow import keras

# Build the linear model
model = keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])
model.compile(optimizer='sgd', loss='mean_squared_error')

# Training data (I adjusted xs=1.0's ys value to 1.0 to make a perfect linear relation y=2x-1, which trains faster)
xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=float)
ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float)

# Train the model (increased epochs for better convergence)
model.fit(xs, ys, epochs=500)
print(model.predict([6.0]))  # Should output ~11.0 when trained well

# Convert directly from the trained Keras model to TFLite
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()

# Save the TFLite model
with open('linear.tflite', 'wb') as f:
    f.write(tflite_model)

3. Optional: If you still want to use the .h5 file

If you prefer saving the Keras model first, you can use this converter line instead:

converter = tf.lite.TFLiteConverter.from_keras_model_file("linear.h5")

Extra Tips #

• Double-check your Python environment to ensure you're not using multiple conflicting versions of TensorFlow (e.g., having both tensorflow and tensorflow-gpu installed).
• If the audio import error persists after updating, try deleting the TensorFlow cache folder in your site-packages and reinstalling.

内容的提问来源于stack exchange，提问作者barna