Comments (3)
Hi @thundergolfer - I've added some more details everywhere, let me know if you're interested in anything else.
-Brandon.
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@TontonTremblay - did you expect a link for this patch
? I meant to refer to the PR that I linked in the sentence before, but for clarity I just added a link around this patch
too.
from densenet.pytorch.
If you are interested in using the DenseNet code in this repository, make sure your PyTorch version contains this patch and was downloaded after 2017-02-10.
There is no link in the text.
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Related Issues (20)
- A problem when computes cifar10 mean and stdev HOT 4
- Have it been tested on pytorch v0.2 and CIFAR100? HOT 3
- Is the DenseBlock Implementation correct? HOT 2
- How can it be ran on Cifar-100? HOT 2
- Help needed on reproducing the performance on Cifar-100 HOT 3
- Have you test densenet on ImageNet?
- Cat vs Dog
- issues running this implementation on google colab HOT 1
- RuntimeError: size mismatch, m1: [2394 x 7], m2: [16758 x 2] at /opt/conda/conda-bld/pytorch_1532502421238/work/aten/src/TH/generic/THTensorMath.cpp:2070
- How did you create the header.png? HOT 1
- Error when loading the model saved HOT 1
- Question - What is the purpose of this piece of Code in densenet.py? HOT 1
- There is a size mismatch due to this lines
- Tiramisu DenseNet
- Multi-GPU implementation HOT 4
- Is the `_make_dense` function make the dense block really? HOT 2
- How do you convert the target from numpy arrays to Tensor? HOT 6
- What does `rolling` use in `plot.py`? HOT 1
- Why is there a PID in device 0 while I set called all cuda(1)? HOT 1
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