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Beginner
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Tensorflow-MKL giving Errors on 3D data

I am training a model to perform volumetric segmentation (3D data). I am training on CPU (two Xeon E5 v4 2699) due to the size of the input data that will not fit in vram. I am using a anaconda environment with tensorflow-mkl and keras. When I train the model, I get an error:

"tensorflow.python.framework.errors_impl.InvalidArgumentError: Value for attr 'data_format' of "NDHWC" is not in the list of allowed values: "NHWC", "NCHW"

 

However, on Intel's github it says it works on volumetric segmentation (https://github.com/intel/mkl-dnn). How may I resolve this issue so I can train my 3D-Unet with mkl?

 

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Moderator
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Please submit this issue on GitHub issues page.

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