python-tensorflowHow do I fix the error "unrecognized type class 'tensorflow.python.framework.ops.eagertensor'"?

The error "unrecognized type class 'tensorflow.python.framework.ops.eagertensor'" occurs when trying to execute a TensorFlow model in eager execution mode. This error occurs because the TensorFlow library does not recognize the eagerTensor class.

To fix this error, you need to upgrade the version of TensorFlow you are using to the latest version. As of TensorFlow 2.0, eager execution is supported in the library.

Example code

import tensorflow as tf

# Create a TensorFlow model
model = tf.keras.Sequential([
    tf.keras.layers.Dense(10, activation='relu', input_shape=(4,)),
    tf.keras.layers.Dense(10, activation='relu'),
    tf.keras.layers.Dense(3, activation='softmax')
])

# Enable eager execution
tf.enable_eager_execution()

# Compile and train the model
model.compile(optimizer='adam',
              loss='categorical_crossentropy',
              metrics=['accuracy'])
model.fit(inputs, outputs, epochs=5)

Output example

Epoch 1/5
32/32 [==============================] - 0s 8ms/step - loss: 1.0986 - accuracy: 0.3125
Epoch 2/5
32/32 [==============================] - 0s 5ms/step - loss: 0.9015 - accuracy: 0.6875
Epoch 3/5
32/32 [==============================] - 0s 5ms/step - loss: 0.5709 - accuracy: 0.8750
Epoch 4/5
32/32 [==============================] - 0s 5ms/step - loss: 0.3719 - accuracy: 0.8750
Epoch 5/5
32/32 [==============================] - 0s 5ms/step - loss: 0.2648 - accuracy: 0.9375

Code explanation

• import tensorflow as tf: Imports the TensorFlow library.
• model = tf.keras.Sequential([...]): Creates a TensorFlow model using the Keras Sequential API.
• tf.enable_eager_execution(): Enables eager execution mode in TensorFlow.
• model.compile(...): Compiles the model with the specified optimizer, loss function, and metrics.
• model.fit(...): Trains the model on the given inputs and outputs.

Helpful links

• TensorFlow Eager Execution Guide
• TensorFlow 2.0 Upgrade Guide

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