Pytorch-yolov3: which tensorflow version?

[Note-Liu]

[qiulyu]

tensorflow==1.13.1 can run successfully，but 2.0 version or higher has some problems.

[omizonly]

In tensorflow == 1.13.1
Error: module tf has no attribute ' create_file_writer '
In tensorflow == 2.0
Error: module tf has no attribute 'Summary'
What should I do?

[qiulyu]

In tensorflow == 1.13.1
更改utils文件夹里面的logger.py的第七行
self.writer = tf.summary.FileWriter(log_dir)

[Borda]

there is a better way, drop TensorFlow dependency completely, see #412

[Note-Liu]

there is a better way, drop TensorFlow dependency completely, see #412

thanks!

[reggievick]

For tensorflow 2.x change your utils/logger.py file to the below:

import tensorflow as tf


class Logger(object):
    def __init__(self, log_dir):
        """Create a summary writer logging to log_dir."""
        #self.writer = tf.summary.FileWriter(log_dir)
        self.writer = tf.summary.create_file_writer(log_dir)

    def scalar_summary(self, tag, value, step):
        """Log a scalar variable."""
        #summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value)])
        #self.writer.add_summary(summary, step)
        with self.writer.as_default():
            tf.summary.scalar(tag, value, step=step)
            self.writer.flush()

    def list_of_scalars_summary(self, tag_value_pairs, step):
        """Log scalar variables."""
        #summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value) for tag, value in tag_value_pairs])
        #self.writer.add_summary(summary, step)

        with self.writer.as_default():
            for tag, value in tag_value_pairs:
                tf.summary.scalar(tag, value, step=step)
                self.writer.flush()

[PALMJJ]

For tensorflow 2.x change your utils/logger.py file to the below:

import tensorflow as tf


class Logger(object):
    def __init__(self, log_dir):
        """Create a summary writer logging to log_dir."""
        #self.writer = tf.summary.FileWriter(log_dir)
        self.writer = tf.summary.create_file_writer(log_dir)

    def scalar_summary(self, tag, value, step):
        """Log a scalar variable."""
        #summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value)])
        #self.writer.add_summary(summary, step)
        with self.writer.as_default():
            tf.summary.scalar(tag, value, step=step)
            self.writer.flush()

    def list_of_scalars_summary(self, tag_value_pairs, step):
        """Log scalar variables."""
        #summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value) for tag, value in tag_value_pairs])
        #self.writer.add_summary(summary, step)

        with self.writer.as_default():
            for tag, value in tag_value_pairs:
                tf.summary.scalar(tag, value, step=step)
                self.writer.flush()

thanks

[st1312st]

For tensorflow 2.x change your utils/logger.py file to the below:

import tensorflow as tf


class Logger(object):
    def __init__(self, log_dir):
        """Create a summary writer logging to log_dir."""
        #self.writer = tf.summary.FileWriter(log_dir)
        self.writer = tf.summary.create_file_writer(log_dir)

    def scalar_summary(self, tag, value, step):
        """Log a scalar variable."""
        #summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value)])
        #self.writer.add_summary(summary, step)
        with self.writer.as_default():
            tf.summary.scalar(tag, value, step=step)
            self.writer.flush()

    def list_of_scalars_summary(self, tag_value_pairs, step):
        """Log scalar variables."""
        #summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value) for tag, value in tag_value_pairs])
        #self.writer.add_summary(summary, step)

        with self.writer.as_default():
            for tag, value in tag_value_pairs:
                tf.summary.scalar(tag, value, step=step)
                self.writer.flush()

very thanks

[theweakgod]

For tensorflow 2.x change your utils/logger.py file to the below:

import tensorflow as tf


class Logger(object):
    def __init__(self, log_dir):
        """Create a summary writer logging to log_dir."""
        #self.writer = tf.summary.FileWriter(log_dir)
        self.writer = tf.summary.create_file_writer(log_dir)

    def scalar_summary(self, tag, value, step):
        """Log a scalar variable."""
        #summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value)])
        #self.writer.add_summary(summary, step)
        with self.writer.as_default():
            tf.summary.scalar(tag, value, step=step)
            self.writer.flush()

    def list_of_scalars_summary(self, tag_value_pairs, step):
        """Log scalar variables."""
        #summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value) for tag, value in tag_value_pairs])
        #self.writer.add_summary(summary, step)

        with self.writer.as_default():
            for tag, value in tag_value_pairs:
                tf.summary.scalar(tag, value, step=step)
                self.writer.flush()

thanks!!!!!