我使用tensorflow2尝试使用函数调用tf.summary.trace_export（）记录tensorflow执行，并在tensorboard图形中查看它。但是，在调用tf.summary.trace_export(name="my_func_trace",step=0,profiler_outdir=logdir)时，出现

tensorflow.python.framework.errors_impl.NotFoundError: Failed to create a directory: logs/func/20191105-014756\plugins\profile\2019-11-05_01-47-57; No such file or directory

除了使用

stamp = datetime.now().strftime("%Y%m%d-%H%M%S")
logdir = 'logs/func/%s' % stamp
writer = tf.summary.create_file_writer(logdir)

当我尝试执行tensorflow.org（https://www.tensorflow.org/tensorboard/graphs#graphs_of_tffunctions）中给出的示例时，也会出现同样的错误

这是我的tensorflow简单代码：

import tensorflow as tf
from datetime import datetime

stamp = datetime.now().strftime("%Y%m%d-%H%M%S")
logdir = './logs/tensor-constants/%s' % stamp
writer = tf.summary.create_file_writer(logdir)

a = tf.constant(1,dtype=tf.int32,shape=(),name='a')
b = tf.constant(2,name='b')

tf.summary.trace_on(graph=True,profiler=True)

add = tf.math.add(a,b,name='addition')

# Print will be tensornode value
print(add)

with writer.as_default():
   tf.summary.trace_export(name="tensor-constants",profiler_outdir=logdir)

错误跟踪：

(venv) PS C:\Users\amvij\Vijay\github\tensorflow-learning> & c:/Users/amvij/Vijay/github/tensorflow-learning/venv/Scripts/python.exe c:/Users/amvij/Vijay/github/tensorflow-learning/basics/tensor-constants.py
2019-11-05 02:11:50.385963: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-11-05 02:11:50.409tf.Tensor(3,dtype=int32)
Traceback (most recent call last):
  File "c:/Users/amvij/Vijay/github/tensorflow-learning/basics/tensor-constants.py",line 28,in <module>
    profiler_outdir=logdir)
  File "C:\Users\amvij\Vijay\github\tensorflow-learning\venv\lib\site-packages\tensorflow_core\python\ops\summary_ops_v2.py",line 1218,in trace_export
    _profiler.save(profiler_outdir,_profiler.stop())
  File "C:\Users\amvij\Vijay\github\tensorflow-learning\venv\lib\site-packages\tensorflow_core\python\eager\profiler.py",line 140,in save
    gfile.MakeDirs(plugin_dir)
  File "C:\Users\amvij\Vijay\github\tensorflow-learning\venv\lib\site-packages\tensorflow_core\python\lib\io\file_io.py",line 438,in recursive_create_dir
    recursive_create_dir_v2(dirname)
  File "C:\Users\amvij\Vijay\github\tensorflow-learning\venv\lib\site-packages\tensorflow_core\python\lib\io\file_io.py",line 453,in recursive_create_dir_v2
    pywrap_tensorflow.RecursivelyCreateDir(compat.as_bytes(path))
tensorflow.python.framework.errors_impl.NotFoundError: Failed to create a directory: ./logs/tensor-constants/20191105-021150\plugins\profile\2019-11-05_02-11-50; No such file or directory
(venv) PS C:\Users\amvij\Vijay\github\tensorflow-learning>

对于tensorflow.org代码（https://www.tensorflow.org/tensorboard/graphs#graphs_of_tffunctions）中给出的示例，也会出现相同的错误：

from datetime import datetime
import tensorflow as tf

# The function to be traced.
@tf.function
def my_func(x,y):
  # A simple hand-rolled layer.
  return tf.nn.relu(tf.matmul(x,y))

# Set up logging.
stamp = datetime.now().strftime("%Y%m%d-%H%M%S")
logdir = 'logs/func/%s' % stamp
writer = tf.summary.create_file_writer(logdir)

# Sample data for your function.
x = tf.random.uniform((3,3))
y = tf.random.uniform((3,3))

# Bracket the function call with
# tf.summary.trace_on() and tf.summary.trace_export().
tf.summary.trace_on(graph=True,profiler=True)
# Call only one tf.function when tracing.
z = my_func(x,y)
with writer.as_default():
  tf.summary.trace_export(
      name="my_func_trace",profiler_outdir=logdir)

我正在使用Windows 10进行开发。