我想从通用编码器创建Tensorflow估算器对象。我打算将此估算器传递给Amazon SageMaker。
这里是我要创建的对象的链接： custom estimator
这是通用编码器：
LIKE我可以简单地在import tensorflow as tf
import tensorflow_hub as hub
g = tf.Graph()
with g.as_default():
# We will be feeding 1D tensors of text into the graph.
text_input = tf.placeholder(dtype=tf.string, shape=[None])
embed = hub.Module("https://tfhub.dev/google/universal-sentence-encoder/2")
print(type(embed))
embedded_text = embed(text_input)
init_op = tf.group([tf.global_variables_initializer(), tf.tables_initializer()])
g.finalize()
个参数中设置train_op = embed吗？