我有一些张量流模型,我需要在保存的模型中导出。下面是我试图导出的模型的简化代码。
import tensorflow as tf
def foo(x):
return tf.reduce_sum(x)
inputs = tf.keras.layers.Input(shape=(128,128,3))
y = tf.keras.layers.Conv2D(filters=32, kernel_size=3, padding='SAME')(inputs)
y = tf.keras.layers.ReLU()(y)
outputs = tf.map_fn(foo, y, dtype=(tf.float32))
model = tf.keras.models.Model(inputs=inputs, outputs=outputs)
model.save('./export', save_format='tf')
但是在导出模型时出现以下错误。
/Users/bruce/.venv/bin/python /Users/bruce/test_project/mymodel/test.py
Traceback (most recent call last):
File "/Users/bruce/test_project/mymodel/test.py", line 12, in <module>
outputs = tf.map_fn(foo, y, dtype=(tf.float32))
File "/Users/bruce/.venv/lib/python3.6/site-packages/tensorflow_core/python/ops/map_fn.py", line 228, in map_fn
for elem in elems_flat]
File "/Users/bruce/.venv/lib/python3.6/site-packages/tensorflow_core/python/ops/map_fn.py", line 228, in <listcomp>
for elem in elems_flat]
File "/Users/bruce/.venv/lib/python3.6/site-packages/tensorflow_core/python/ops/tensor_array_ops.py", line 1078, in __init__
name=name)
File "/Users/bruce/.venv/lib/python3.6/site-packages/tensorflow_core/python/ops/tensor_array_ops.py", line 716, in __init__
self._tensor_array = [None for _ in range(size)]
TypeError: 'Tensor' object cannot be interpreted as an integer
在部署它时,我无法删除tf.map_fn
在保存的模型中进行一些我需要的基本处理的部分。