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tux2603

PhD student and graduate research assistant at Tennessee Technological University. My current interests are HPC and low level hardware design and optimization, which I'm combining for my research. We are currently researching options to greatly increase the power efficiency of large scale data processing in embedded systems, with the end goal of delivering HPC-level performance in a mobile power budget.

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deepdream's Issues

NVIDIA binaries not found in Windows10/WSL 2

Describe the bug


$ python3 main.py -s ./in -d ./out
singularity exec --writable-tmpfs --pwd=/opt/src --nv -B caffe/models:/opt/models -B src:/opt/src -B ./in:/opt/images/source -B ./out:/opt/images/destination caffe.sif conda run --no-capture-output -n gpu ./dream.py --num-iterations 1 --octave-count 4 --octave-scale 1.3 --steps-per-octave 10 --maximize inception_4c/output --jitter 32
INFO: Could not find any NVIDIA binaries on this host!
FATAL: container creation failed: mount /proc/self/fd/9->/usr/local/var/singularity/mnt/session/rootfs error: can't mount image /proc/self/fd/9: kernel reported a bad superblock for squashfs image partition, possible causes are that your kernel doesn't support the compression algorithm or the image is corrupted


it says causes kernel so maybe wrong one i installed on WSL2
make done but following process doesn't

  • chmod -R 0777 /opt/miniconda/envs/
    INFO: Adding environment to container
    INFO: Creating SIF file...
    INFO: Build complete: caffe.sif

tried to solve but it's helpful if i get some advices !
(sorry I put wrong labels it's not bug "help needed" but can't change,)

  • Operating System: [WSL2, ubuntu20.04.1 ]
  • Singularity Version: [3.4.0-1]
  • Kernel Version (if applicable): [WSL2-Linux-Kernel]
  • GPU: [GeForce RTX2060]
  • GPU driver version: [Cuda compilation tools, release 11.1, V11.1.105]
  • Installed ram and swap space: [15GB ram, 2.7GB swap]

Additional context
python3,singularity,cuda installed.

Ignoring Source Layer Issue

Describe the bug
When I run
./main.py -s /home/ryan/DeepDreamVideo/render -d /home/ryan/DeepDreamVideo/Out

I get the below abridged version of the output... Any thoughts. I am on ubuntu 20.04. Installed everything in your guide seemingly to a tee.

I1217 17:33:30.645584 48159 net.cpp:200] inception_3a/relu_3x3 does not need backward computation.
I1217 17:33:30.645588 48159 net.cpp:200] inception_3a/3x3 does not need backward computation.
I1217 17:33:30.645592 48159 net.cpp:200] inception_3a/relu_3x3_reduce does not need backward computation.
I1217 17:33:30.645597 48159 net.cpp:200] inception_3a/3x3_reduce does not need backward computation.
I1217 17:33:30.645601 48159 net.cpp:200] inception_3a/relu_1x1 does not need backward computation.
I1217 17:33:30.645606 48159 net.cpp:200] inception_3a/1x1 does not need backward computation.
I1217 17:33:30.645613 48159 net.cpp:200] pool2/3x3_s2_pool2/3x3_s2_0_split does not need backward computation.
I1217 17:33:30.645618 48159 net.cpp:200] pool2/3x3_s2 does not need backward computation.
I1217 17:33:30.645622 48159 net.cpp:200] conv2/norm2 does not need backward computation.
I1217 17:33:30.645627 48159 net.cpp:200] conv2/relu_3x3 does not need backward computation.
I1217 17:33:30.645630 48159 net.cpp:200] conv2/3x3 does not need backward computation.
I1217 17:33:30.645635 48159 net.cpp:200] conv2/relu_3x3_reduce does not need backward computation.
I1217 17:33:30.645640 48159 net.cpp:200] conv2/3x3_reduce does not need backward computation.
I1217 17:33:30.645645 48159 net.cpp:200] pool1/norm1 does not need backward computation.
I1217 17:33:30.645649 48159 net.cpp:200] pool1/3x3_s2 does not need backward computation.
I1217 17:33:30.645654 48159 net.cpp:200] conv1/relu_7x7 does not need backward computation.
I1217 17:33:30.645658 48159 net.cpp:200] conv1/7x7_s2 does not need backward computation.
I1217 17:33:30.645665 48159 net.cpp:200] data does not need backward computation.
I1217 17:33:30.645685 48159 net.cpp:242] This network produces output prob
I1217 17:33:30.645758 48159 net.cpp:255] Network initialization done.
I1217 17:33:30.690448 48159 upgrade_proto.cpp:53] Attempting to upgrade input file specified using deprecated V1LayerParameter: /opt/model/model.caffemodel
I1217 17:33:30.721181 48159 upgrade_proto.cpp:61] Successfully upgraded file specified using deprecated V1LayerParameter
I1217 17:33:30.722543 48159 net.cpp:744] Ignoring source layer label_data_1_split
I1217 17:33:30.722993 48159 net.cpp:744] Ignoring source layer loss1/ave_pool
I1217 17:33:30.723001 48159 net.cpp:744] Ignoring source layer loss1/conv
I1217 17:33:30.723004 48159 net.cpp:744] Ignoring source layer loss1/relu_conv
I1217 17:33:30.723007 48159 net.cpp:744] Ignoring source layer loss1/fc
I1217 17:33:30.723011 48159 net.cpp:744] Ignoring source layer loss1/relu_fc
I1217 17:33:30.723012 48159 net.cpp:744] Ignoring source layer loss1/drop_fc
I1217 17:33:30.723016 48159 net.cpp:744] Ignoring source layer loss1/classifier
I1217 17:33:30.723019 48159 net.cpp:744] Ignoring source layer loss1/loss
I1217 17:33:30.723655 48159 net.cpp:744] Ignoring source layer loss2/ave_pool
I1217 17:33:30.723666 48159 net.cpp:744] Ignoring source layer loss2/conv
I1217 17:33:30.723670 48159 net.cpp:744] Ignoring source layer loss2/relu_conv
I1217 17:33:30.723676 48159 net.cpp:744] Ignoring source layer loss2/fc
I1217 17:33:30.723680 48159 net.cpp:744] Ignoring source layer loss2/relu_fc
I1217 17:33:30.723682 48159 net.cpp:744] Ignoring source layer loss2/drop_fc
I1217 17:33:30.723685 48159 net.cpp:744] Ignoring source layer loss2/classifier
I1217 17:33:30.723688 48159 net.cpp:744] Ignoring source layer loss2/loss
I1217 17:33:30.725492 48159 net.cpp:744] Ignoring source layer loss3/loss3

Expected behavior
A clear and concise description of what you expected to happen.

To Reproduce
Steps to reproduce the behavior:

System Specs (please complete the following information):

  • Operating System: ubuntu
  • Singularity Version: version: 3.6.4
  • Kernel Version (if applicable): [eg, 5.8.0-2-amd64, 4.15.0-106-generic]
  • GPU: 1080ti
  • GPU driver version: 455
  • Installed ram and swap space: 64gb ram 500gbswap

Additional context
Add any other context about the problem here.

subprocess for conda - command failed

Get the following error when running main.py with -no-gpu flag.

Processing /opt/images/source/IMG_0539.jpg /opt/miniconda/envs/cpu/.tmp9fz0yk__: line 3: 29149 Killed ./dream.py --num-iterations 1 --octave-count 4 --octave-scale 1.3 --steps-per-octave 10 --maximize inception_4c/output --jitter 32 --no-gpu ERROR conda.cli.main_run:execute(33): Subprocess for 'conda run ['./dream.py', '--num-iterations', '1', '--octave-count', '4', '--octave-scale', '1.3', '--steps-per-octave', '10', '--maximize', 'inception_4c/output', '--jitter', '32', '--no-gpu']' command failed. (See above for error)

Iโ€™m running on a DigitalOcean droplet with
Ubuntu 20.04.
Need help please!

Add windows compatibility

Describe the bug
A clear and concise description of what the bug is.

Expected behavior
A clear and concise description of what you expected to happen.

To Reproduce
Steps to reproduce the behavior:

System Specs (please complete the following information):

  • Operating System: [eg, ubuntu, arch]
  • Singularity Version: [eg, 3.6.3]
  • Kernel Version (if applicable): [eg, 5.8.0-2-amd64, 4.15.0-106-generic]
  • GPU: [eg, 1050ti, 2x2080s]
  • GPU driver version: [eg, 440.64]
  • Installed ram and swap space: [eg, 16GB ram, 8GB swap]

Additional context
Add any other context about the problem here.

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