问Tensorflow不能量化整形函数

EN

import os
os.environ['CUDA_VISIBLE_DEVICES'] = '3'
from tensorflow.keras.applications import VGG16
import tensorflow_model_optimization as tfmot
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
quantize_model = tfmot.quantization.keras.quantize_model
inputs = keras.Input(shape=(784,))
# img_inputs = keras.Input(shape=(32, 32, 3))

dense = layers.Dense(64, activation="relu")
x = dense(inputs)
x = layers.Dense(64, activation="relu")(x)
outputs = layers.Dense(10)(x)
outputs = tf.reshape(outputs, [-1, 2, 5])
model = keras.Model(inputs=inputs, outputs=outputs, name="mnist_model")

# keras.utils.plot_model(model, "my_first_model.png")


q_aware_model = quantize_model(model)

Traceback (most recent call last):

  File "<ipython-input-39-af601b78c010>", line 14, in <module>
    q_aware_model = quantize_model(model)

  File "/home/essys/.local/lib/python3.6/site-packages/tensorflow_model_optimization/python/core/quantization/keras/quantize.py", line 137, in quantize_model
    annotated_model = quantize_annotate_model(to_quantize)

  File "/home/essys/.local/lib/python3.6/site-packages/tensorflow_model_optimization/python/core/quantization/keras/quantize.py", line 210, in quantize_annotate_model
    to_annotate, input_tensors=None, clone_function=_add_quant_wrapper)
...

  File "/home/essys/anaconda3/envs/tf_gpu/lib/python3.6/site-packages/tensorflow/python/autograph/impl/api.py", line 667, in wrapper
    raise e.ag_error_metadata.to_exception(e)

TypeError: in user code:


    TypeError: tf__call() got an unexpected keyword argument 'shape'