We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
@singlasahil14 Receiving:
TypeError: Fetch argument odict_values([<tf.Tensor 'mul:0' shape=(?, ?, ?, 64) dtype=float32>, <tf.Tensor 'mul_1:0' shape=(?, ?, ?, 64) dtype=float32>, <tf.Tensor 'mul_2:0' shape=(?, ?, ?, 64) dtype=float32>, <tf.Tensor 'mul_3:0' shape=(?, ?, ?, 128) dtype=float32>, <tf.Tensor 'mul_4:0' shape=(?, ?, ?, 128) dtype=float32>, <tf.Tensor 'mul_5:0' shape=(?, ?, ?, 128) dtype=float32>, <tf.Tensor 'mul_6:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'mul_7:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'mul_8:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'mul_9:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'mul_10:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_11:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_12:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_13:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_14:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_15:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_16:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_17:0' shape=(?, ?, ?, 512) dtype=float32>]) has invalid type <class 'odict_values'>, must be a string or Tensor. (Can not convert a odict_values into a Tensor or Operation.)
when running: python slow_style.py --style-path data/style/wave.jpg --content-path data/content/stata.jpg --result-path test-slow/
The text was updated successfully, but these errors were encountered:
In case this helps anyone else, if you encounter this error, it's that you need to use python2.7.
Sorry, something went wrong.
No branches or pull requests
@singlasahil14
Receiving:
TypeError: Fetch argument odict_values([<tf.Tensor 'mul:0' shape=(?, ?, ?, 64) dtype=float32>, <tf.Tensor 'mul_1:0' shape=(?, ?, ?, 64) dtype=float32>, <tf.Tensor 'mul_2:0' shape=(?, ?, ?, 64) dtype=float32>, <tf.Tensor 'mul_3:0' shape=(?, ?, ?, 128) dtype=float32>, <tf.Tensor 'mul_4:0' shape=(?, ?, ?, 128) dtype=float32>, <tf.Tensor 'mul_5:0' shape=(?, ?, ?, 128) dtype=float32>, <tf.Tensor 'mul_6:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'mul_7:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'mul_8:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'mul_9:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'mul_10:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_11:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_12:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_13:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_14:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_15:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_16:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'mul_17:0' shape=(?, ?, ?, 512) dtype=float32>]) has invalid type <class 'odict_values'>, must be a string or Tensor. (Can not convert a odict_values into a Tensor or Operation.)
when running:
python slow_style.py --style-path data/style/wave.jpg --content-path data/content/stata.jpg --result-path test-slow/
The text was updated successfully, but these errors were encountered: