Hi quip_classification team,

I've been running the quip_classification container on TCGA H&E images and realised the code for necrosis segmentation is commented out.

I tried un-commenting this code (line 15-38), rebuilt the container and ran into dependencies errors (lasagne, pygpu, etc). Would it be possible to get a list of dependencies for the necrosis prediction part please?

Thank you so much.

Khoa.

Hi, I am using tesla k40c gpu with 12G memory, and I run into error "ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[441,64,147,147] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node InceptionV4/InceptionV4/Conv2d_2b_3x3/Conv2D (defined at /root/.local/lib/python3.5/site-packages/tensorflow/contrib/layers/python/layers/layers.py:1057) = Conv2D[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](InceptionV4/InceptionV4/Conv2d_2a_3x3/Relu, InceptionV4/Conv2d_2b_3x3/weights/read)]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
"

Just a suggestion - to list parameters and options for each command. As it is listed for svs_2_heatmap.sh, there might be more for others. Or how to get help?

Thanx