I'm trying to replicate this work for a research I am working on, but there´s been multiple problems that I am trying to fix, but there seems to be no end to it.
Most of them seem to be caused by environment incompatibilities.
here are some of the latest I've found:
-
Problems downloading datasets
-
PacGAN\stacked_MNIST_experiments\VEEGAN_experiment\model.py", line 156, in train
...
TypeError: a bytes-like object is required, not 'str'
-
PacGAN\stacked_MNIST_experiments\VEEGAN_experiment\model.py", line 200, in train
}, **feed_dict_z))
TypeError: keywords must be strings
-
PacGAN\stacked_MNIST_experiments\VEEGAN_experiment\model.py", line 281, in log_metrics
if len(results) + len(new_results) > self.num_test_sample:
TypeError: object of type 'zip' has no len()
-
PacGAN\stacked_MNIST_experiments\VEEGAN_experiment\utils.py", line 67, in imsave
return scipy.misc.imsave(path, image)
AttributeError: module 'scipy.misc' has no attribute 'imsave'
-
PacGAN\stacked_MNIST_experiments\VEEGAN_experiment\model.py", line 297, in log_metrics
p[0:num_mode] = map.values()
TypeError: float() argument must be a string or a number, not 'dict_values'
Is there any conda environment.yml or requirements.txt file one can use to replicate the original environment?
Or probably a newer/alternative repository for this work?
Just in case, attached you´ll find the last version of my requirements.txt file for the stacked MNIST experiments.
requirements.txt
I'm trying to replicate this work for a research I am working on, but there´s been multiple problems that I am trying to fix, but there seems to be no end to it.
Most of them seem to be caused by environment incompatibilities.
here are some of the latest I've found:
Problems downloading datasets
PacGAN\stacked_MNIST_experiments\VEEGAN_experiment\model.py", line 156, in train
...
TypeError: a bytes-like object is required, not 'str'
TypeError: keywords must be strings
TypeError: object of type 'zip' has no len()
AttributeError: module 'scipy.misc' has no attribute 'imsave'
PacGAN\stacked_MNIST_experiments\VEEGAN_experiment\model.py", line 297, in log_metrics
p[0:num_mode] = map.values()
TypeError: float() argument must be a string or a number, not 'dict_values'
Is there any conda environment.yml or requirements.txt file one can use to replicate the original environment?
Or probably a newer/alternative repository for this work?
Just in case, attached you´ll find the last version of my requirements.txt file for the stacked MNIST experiments.
requirements.txt