无法在 windows7 机器上的 Tensorflow 1.5 中使用 eager execution
Can't use eager execution in Tensorflow 1.5 on windows7 machine
问题
cant use eager execution in tensorflow version 1.5
代码
from __future__ import absolute_import, division, print_function
import tensorflow as tf
from tensorflow.python.client import timeline
tf.enable_eager_execution()
x = tf.random_normal([0,10000])
y= tf.random_normal([10000,1000])
res = tf.matmul(x, y)
# Run the graph with full trace option
with tf.Session() as sess:
run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
run_metadata = tf.RunMetadata()
sess.run(res, options=run_options, run_metadata=run_metadata)
# Create the Timeline object, and write it to a json
tl = timeline.Timeline(run_metadata.step_stats)
ctf = tl.generate_chrome_trace_format()
with open('timeline.json', 'w') as f:
f.write(ctf)
堆栈跟踪
C:\ProgramData\Anaconda3\lib\site-packages\h5py__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from float
to np.floating
is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type
.
from ._conv import register_converters as _register_converters
Traceback (most recent call last):
File "D:/Users/hello/PycharmProjects/crimeBuster/main.py", line 6, in
tf.enable_eager_execution()
AttributeError: module 'tensorflow' has no attribute 'enable_eager_execution'
版本
import tensorflow as tf
print(tf.__version__)
# 1.5.0
回到 version 1.5,eager execution 仍然在贡献的包中,所以你需要明确地导入它;正确的用法是:
import tensorflow as tf
import tensorflow.contrib.eager as tfe
tfe.enable_eager_execution()
此外,请记住:
For eager execution, we recommend using TensorFlow version 1.8 or newer.
(来自Github page)
版本 1.7 是命令 tf.enable_eager_execution()
可用的第一个版本,即急切执行已从 contrib
中移出(参见 v1.7 changes)。
问题
cant use eager execution in tensorflow version 1.5
代码
from __future__ import absolute_import, division, print_function
import tensorflow as tf
from tensorflow.python.client import timeline
tf.enable_eager_execution()
x = tf.random_normal([0,10000])
y= tf.random_normal([10000,1000])
res = tf.matmul(x, y)
# Run the graph with full trace option
with tf.Session() as sess:
run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
run_metadata = tf.RunMetadata()
sess.run(res, options=run_options, run_metadata=run_metadata)
# Create the Timeline object, and write it to a json
tl = timeline.Timeline(run_metadata.step_stats)
ctf = tl.generate_chrome_trace_format()
with open('timeline.json', 'w') as f:
f.write(ctf)
堆栈跟踪
C:\ProgramData\Anaconda3\lib\site-packages\h5py__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from
float
tonp.floating
is deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type
. from ._conv import register_converters as _register_converters Traceback (most recent call last): File "D:/Users/hello/PycharmProjects/crimeBuster/main.py", line 6, in tf.enable_eager_execution() AttributeError: module 'tensorflow' has no attribute 'enable_eager_execution'
版本
import tensorflow as tf
print(tf.__version__)
# 1.5.0
回到 version 1.5,eager execution 仍然在贡献的包中,所以你需要明确地导入它;正确的用法是:
import tensorflow as tf
import tensorflow.contrib.eager as tfe
tfe.enable_eager_execution()
此外,请记住:
For eager execution, we recommend using TensorFlow version 1.8 or newer.
(来自Github page)
版本 1.7 是命令 tf.enable_eager_execution()
可用的第一个版本,即急切执行已从 contrib
中移出(参见 v1.7 changes)。