Tensorflow - 'Unable to get element as bytes'错误

The following code:

import numpy as np
import tensorflow as tf
from sklearn.model_selection import train_test_split
import pandas as pd



# DATA PREPARE
df = pd.read_csv('housing.csv')
df = df.dropna()
print(df.head)
print(df.describe())
print(df.info())



# NORMALIZATION
from sklearn.preprocessing import MinMaxScaler

scaler = MinMaxScaler()
scaler.fit(df[['housing_median_age', 'total_rooms', 'total_bedrooms', 'population', 'households', 'median_income',
               'median_house_value']])
df_scaled_cols = scaler.transform(df[['housing_median_age', 'total_rooms', 'total_bedrooms',
                                      'population', 'households', 'median_income', 'median_house_value']])
df_scaled_cols = pd.DataFrame(data=df_scaled_cols, columns=['housing_median_age', 'total_rooms', 'total_bedrooms',
                                                            'population', 'households', 'median_income',
                                                            'median_house_value'])

df = pd.concat([df_scaled_cols, df['ocean_proximity']], axis=1)



# DATAFRAME INTO X AND Y -> TRAIN TEST SPLIT
x_data = df[['housing_median_age', 'total_rooms', 'total_bedrooms', 'population', 'households', 'median_income',
             'ocean_proximity']]
y_label = df['median_house_value']

X_train, X_test, y_train, y_test = train_test_split(x_data, y_label, test_size=0.3)



# FEATURE COLUMNS FROM DATA

m_age = tf.feature_column.numeric_column('housing_median_age')
rooms = tf.feature_column.numeric_column('total_rooms')
bedrooms = tf.feature_column.numeric_column('total_bedrooms')
population = tf.feature_column.numeric_column('population')
households = tf.feature_column.numeric_column('households')
income = tf.feature_column.numeric_column('median_income')
ocean = tf.feature_column.categorical_column_with_hash_bucket('ocean_proximity', hash_bucket_size=10)
embedded_ocean = tf.feature_column.embedding_column(ocean, dimension=4)

feat_cols = [m_age, rooms, bedrooms, population, households, income, embedded_ocean]



# 3 INPUT FUNCTIONS

train_input_func = tf.estimator.inputs.pandas_input_fn(x=X_train, y=y_train, batch_size=10, num_epochs=1000,
                                                       shuffle=True)
test_input_func = tf.estimator.inputs.pandas_input_fn(x=X_test, y=y_test, batch_size=10, num_epochs=1, shuffle=False)
predict_input_func = tf.estimator.inputs.pandas_input_fn(x=X_test, batch_size=10, num_epochs=1, shuffle=False)



# DNN_Reg MODEL

dnn_model = tf.estimator.DNNRegressor(hidden_units=[10,10,10], feature_columns=feat_cols)
dnn_model.train(input_fn=train_input_func, steps=1000)

Causes the error:

Traceback（最近一次调用最后一次）：文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ client \ session.py”，第1278行，在_do_call返回fn（* args）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ client \ session.py”，第1263行，在_run_fn选项中，feed_dict ，fetch_list，target_list，run_metadata）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ client \ session.py”，第1350行，在_call_tf_sessionrun run_metadata中） tensorflow.python.framework.errors_impl.InternalError：无法将元素作为字节 . 在处理上述异常期间，发生了另一个异常：Traceback（最近一次调用最后一次）：文件“C：/Users/Admin/Documents/PycharmProjects/TF_Regression_Project/project.py”，第69行，在dnn_model.train中（input_fn = train_input_func ，steps = 1000）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ estimator \ estimator.py”，第376行，在train loss = self中 . _train_model（input_fn，hooks，saving_listeners）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ estimator \ estimator.py”，第1145行，在_train_model中返回self._train_model_default（input_fn，hooks，saving_listeners）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ estimator \ estimator.py”，第1173行， _train_model_default saving_listeners）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ estimator \ estimator.py”，第1451行，_train_with_estimator_s pec _，loss = mon_sess.run（[estimator_spec.train_op，estimator_spec.loss]）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ training \ monitored_session.py“，第695行，退出self._close_internal（exception_type）文件”C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ training \ monitored_session.py “，第732行，在_close_internal self._sess.close（）文件”C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ training \ monitored_session.py“，第980行，关闭self._sess.close（）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ training \ monitored_session.py”，第1124行，关闭ignore_live_threads = True）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ training \ coordinator.py”，第389行，在join 6中 . reraise（* self._exc_info_to_raise）文件“C：\ Users \ Admin \ AppData \ Local \ Programs \ Pyth在\ Python36 \ lib \ site-packages \ six.py“，第692行，重新提升value.with_traceback（tb）文件”C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site- packages \ tensorflow \ python \ estimator \ inputs \ queues \ feeding_queue_runner.py“，第94行，在_run sess.run（enqueue_op，feed_dict = feed_dict）文件”C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ client \ session.py“，第877行，运行run_metadata_ptr）文件”C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ client \ session.py“，第1100行，在_run feed_dict_tensor，options，run_metadata中）文件”C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ client \ session.py“，第1272行，在_do_run run_metadata中）文件”C：\ Users \ Admin \ AppData \ Local \ Programs \ Python \ Python36 \ lib \ site-packages \ tensorflow \ python \ client \ session.py“ ，第1291行，_do_call引发类型（e）（node_def，op，message）tensorflow.python.framework.errors_impl.InternalE rror：无法将元素作为字节 .

What is wrong inside?