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cc: @wickedfoo |
lib/THC/THCTensorSort.cu
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| for (long i = threadIdx.x; i < sliceSize; i += blockDim.x) { | ||
| // Torch indices are 1-based (hence the +1) | ||
| base[i * sliceStride] = (float) i + 1.0f; | ||
| base[i * sliceStride] = (long) i + 1; |
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you can remove the (long), it's already long
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I think it looks good to me, besides the topk issues (it won't work for some tensors with more than 2^31 - 1 elements). should add an assertion to topk that you aren't calling it on a tensor where the slice size that you are top-k-ing is > 2^31 - 1 elements. (also sorry, github notifications have been going to my spam gmail for the past couple of months, hopefully i'll get them now) |
This was referenced Aug 12, 2016
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fixes #463 |
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fixes jcjohnson/densecap#26 and jcjohnson/densecap#22 |
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This makes the index* methods to use CudaLongTensor for indices.
Adds index* for all CUDA types (except indexAdd because need to implement atomicAdd for non float / int types)
Also changes the sort and topK API accordingly (but doesn't add new types in them yet)
Checklist before merging: