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I tried installing the module with pip install gans2[tensorflow] but gans nor gans2 modules are available. So I downloaded the code from GitHub but the example "pre-defined models" crashes because of several errors:
TypeError: __init__() got an unexpected keyword argument 'visualization_type' (fixed by commenting the line out),
TypeError: __init__() missing 1 required positional argument: 'validation_dataset' (fixed by changing several files' content, mainly gans/datasets/mnist.py),
W tensorflow/core/framework/op_kernel.cc:1655] OP_REQUIRES failed at summary_kernels.cc:57 : Not found: Failed to create a directory: ./outputs\VANILLA_GAN_MNIST; No such file or directory, I gave up on that one and didn't check what causes it.
2 questions:
How should one install the code in Conda so the module is visible?
Could you please provide an example of code that doesn't break?
The text was updated successfully, but these errors were encountered:
I'm not able to run the code under conda.
I tried installing the module with
pip install gans2[tensorflow]
butgans
norgans2
modules are available. So I downloaded the code from GitHub but the example "pre-defined models" crashes because of several errors:TypeError: __init__() got an unexpected keyword argument 'visualization_type'
(fixed by commenting the line out),TypeError: __init__() missing 1 required positional argument: 'validation_dataset'
(fixed by changing several files' content, mainly gans/datasets/mnist.py),W tensorflow/core/framework/op_kernel.cc:1655] OP_REQUIRES failed at summary_kernels.cc:57 : Not found: Failed to create a directory: ./outputs\VANILLA_GAN_MNIST; No such file or directory
, I gave up on that one and didn't check what causes it.2 questions:
The text was updated successfully, but these errors were encountered: