Comments (3)
I noticed the same issue as well. The problem surfaces when you use Flux v0.6.9
, but if you go back one version to Flux v0.6.8
the problem disappears.
It appears that something is broken in the version upgrades and how it interacts with CuArrays.
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The MNIST example is running without errors on gpu with Flux v0.6.9 and NNlib v0.4.2
with NNlib v0.4.3 you get this error message, even in combination with Flux v0.6.8
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MNIST now has a cuda manifest, so this should be resolved, but let me know if you run into any issues.
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Related Issues (20)
- Broken link in README.md HOT 1
- DimensionMismatch with AlexNet HOT 7
- Blitz tutorial takes too long to run (GD instead of SGD?) HOT 2
- Adding custom Model for one of the newly added dataset in MLDatasets.jl HOT 8
- 60 minute blitz uses stacked Dense layers with no activation function HOT 1
- Add literature background to the models HOT 8
- flatten is no longer exported from Flux
- Use Metalhead.jl for the vision examples HOT 1
- MethodError using the ResNet transfer learning tutorial HOT 6
- diffusion_mnist broken throws CUDNNError: CUDNN_STATUS_BAD_PARAM (code 3) HOT 5
- [Question] how to understand out_conv_size in LeNet5 ? HOT 1
- `char-rnn.jl` is broken on Flux `v0.13.9` HOT 1
- vae_mnist increasing runtime and memory usage after each epoch HOT 5
- mlp_mnist can not be instantiated
- Manifest files have the old format
- RNN Issue, it doesn't work as expected
- Trebuchet differentiable programming example throws ForwardDiff error HOT 2
- char-rnn example throws MethodError: no method matching ndims(::SubString{String})
- Update to Flux 0.14 HOT 2
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