#Torch

Mastering PyTorch Custom Datasets & DataLoaders: __getitem__, collate_fn, multiprocessing, and zero-OOM memory optimization.

torch.compile vs eager training on RTX 5090, L40S, RTX A6000 and H100: step time, peak memory, compile time and tokens per dollar.

Next-Concept Modeling already used ordinary PyTorch attention. The Apple GPU run failed on float64 penalties and one area-pool whose lengths do not divide.

SDXL base at 1024x1024 on RTX A6000, L40S, RTX 5090 and H100: seconds per image, cost per 1,000 images, and when torch.compile pays off.

I set torch, random, and numpy seeds, and my small fine-tune still moves run to run on a T4. Same...

Six single-GPU machines launched through an API, timed from create call to first SSH and first CUDA matmul. 3 to 12 minutes, and why.

You ran a training job last week. It completed cleanly. Today you rent a fresh pod, run the same...

About one in eight people uploading model weights to Hugging Face now upload only pickles, twice 2024's share. I opened 114 to see which load safely.

“The guard called Kumar, who was on the seventh floor, for help to activate a torch that was in the parcel. The guard then took the torch up to the fifth floor. There, the torch exploded in Kumar’s hands when he tried to switch it on,” the sources said.

Over time, knowledge has been passed down in various forms. Before writing was invented in ancient Mesopotamia (modern-day Iraq), laws, history, myths, songs, and other information were all transferre

AWS open-sources TorchNeuron on October 20: Trainium becomes a normal PyTorch device. The beta wants static shapes, pinned versions and PyTorch 2.14.

TorchTPU runs PyTorch on TPUs via device='tpu'. PyTorch/XLA is deprecated, its repo archived Nov 15. What to port, and what to check first.

A bf16 residual near 600 has a resolution of 4, so small updates vanish. Measured gaps, a reproducible simulation and fixes for long training runs.

KerasHub expects 11 of its models to fail LiteRT (TFLite) export. All 11 in one table, the five traps they fall into, and what to write instead.

TorchCodec 0.14 is out! It is compatible with torch >= 2.11. It comes with two major additions: a fast audio WavDecoder, and support for HDR video decoding! Fast wav decoder TorchCodec now has a de...

Get rid of invasive weeds using the best weed torch. We tested top models on a variety of weed-infested surfaces. See our results.

Every time a PyTorch model refuses to learn, the debugging process looks the same: Stare at the...

TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on...

TL;DR: torch.compile gave us a 2.3x speedup on our SDXL pipeline in benchmarks, then quietly...

One model objective, stated simply: given all previous words, predict the next word. That is the...