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Benchmark details: 1d convolution of a 2^16 wide 1D input signal with a length 3 kernel. Both input and output channels are 1. There is no bias term.
```
% strings arm_compute-v24.06-bin-android-a…
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The following functions and modules need to be implemented:
- [ ] Basic Convolutions: No strides, No pooling
- [ ] Strided Convolutions without pooling
- [ ] Strided Convolutions with pooling
…
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CUDNN v6 supports dilated convolution apparently, so it would nice to have the option to use it in DyNet.
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Thanks for sharing your code. Could you explain why you use transposed convolutions (instead of direct convolutions) in the generator?
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Hello,
I'm trying to build MIOpen 6.2.0 with params bellow:
```
export CC=/opt/rocm/llvm/bin/clang
export CXX=/opt/rocm/llvm/bin/clang++
CXX=$ROCM_INSTALL_DIR/llvm/bin/clang++ cmake \
…
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Hi @abhi-glitchhg,
Great work on this!
Here is something interesting to implement: https://arxiv.org/abs/1911.10477. I'll be happy to help if required, and you are thinking of including this in …
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@mmanzoorTT , can you please generate an mnist (version without convolutions) stable hlo graph? Once done, @mrakitaTT can you please add the required ops to the converter.
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Hi all,
It's great to see that spectral cube now has a `convolve_to` method - this is going to be super useful. I see, though, that by default `astropy` convolution is used. I've encountered issues…
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Given a [monoidal structure](https://github.com/agda/cubical/blob/master/Cubical/Categories/Monoidal/Base.agda) on a base category `C`, define the Day convolution monoidal structure on `Psh C`
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I propose to handle convolutions by means of a transformer. For each convolve() call, one or more new state variables will be generated (as is currently also the case with the ``__X__`` syntax). A new…