Tracked topic
…Do you have a public model I could look at? You're using the example image classification script in Transformers ( https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification ) or…
…46.6% of correct kernels are slower than the PyTorch eager baseline, and cross-hardware speedup variance reaches 21.4times. Besides, quantization remains completely unsolved (0/30 successes) despite non-trivial compilation…
…dense shape for better hardware compatibility (and this is how it is implemented in default PyTorch). Our new preprint, "Squeeze-Release: Iterative Pruning with Exact Structural Minimization," closes that gap. We rebuild…
…Consequently, the mixture coefficients naturally enter the PyTorch computation graph, allowing them to be solved directly via gradient descent. This represents our deep exploration into the field of data mixture optimization. Historically…
…The point is to make capable open-weight audio models usable on hardware people already own, where the usual PyTorch stack is impractical. Running a full text-to-music pipeline on a…
…Do you calculate emceeing for each token and them average them ? 2 can you share link to NanoBEIR ? · Yes, the implementation is just https://pytorch.org/docs/stable/generated/torch.nn.EmbeddingBag…
…a reference PyTorch implementation or a patch description) would help the community reproduce the results and align training with inference. Thanks again for the clarification; the narrative (hypothesis testing → rollout correction → attention…
To show you the most relevant results, we’ve omitted some entries very similar to those already shown. Repeat the search with the omitted results included.