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total, pytorch, apr, gpu, training, loss, error, torch, feb, dec, memory, model, run, function, dataset, cuda, mps, input, file, mar, output, inputs, gradients, custom, epoch, support, rtx, windows, question, runtimeerror, results, jun, type, implementation, mobile, target, tensorboard, oct, feedback, size, categories, slow, implementing, calculation, gradient, dataloader, aws, source, static, library,

Topics {✒️}

export tensorboard data 5k total nlp found bfloat16 26d argument ‘stride’ 6d floating-point convolution measure execution time optimize pytorch cnn main content sign squence length 22d audio signal processing load library libcudnn_cnn_infer wavernn model due embed pytorch profiler customize scatter function run forward pass 1k total torch order gradients 12h keras-tcn jun 2 prebuilt pytorch 9d 2nd epoch 1d mixed precision pytorch installed 12d run torch model slow training ml engineer epoch calculation 1k total aws s3 onnx failed pytorch-tcn target size gpu memory torch cuda mobile inference load model loss function mps apr 30 onnx model pytorch docs embedding 11h pkl 13h reserved memory occupied memory initialized apr 22 static shape directory apr 2023 lightning apr 4 prediction results torch xla tutorial mar 13

Questions {❓}

• Autocast behaviour in different GPUs?
• Can I use torchvision Dataset and Dataloader with AWS S3?
• FSDP1/FSDP2 sharding across CPUs?
• For a model takes custom type as input, can I customize scatter function for DataParallel?
• How do I get the accuracy of an unbalanced dataset or segmentation task?
• How to create a standalone executable for a onnx model?
• How to embed pytorch profiler to verl?
• How to measure execution time in PyTorch?
• How to optimize pytorch CNN with complex-numbers (no gradient used)?
• How to use Node splitting graph optimization?
• Is this the correct way to do ImageNet training on Torch XLA?
• Multi-Head Self Attention in Transformer is permutation-invariant or equivariant how to see it in practice?
• Question: What takes so much gpu memory?
• What loss function should the inner loop of MAML use?
• Where to get the version string of Lightning runs?
• Why are my tensor’s gradients unexpectedly None or not None?
• Why do captum’s perturbation and IG treat input & target differently?
• Why do we implement models like Llama again in examples/models/ and how is it different from the HF implementation for the same?
• Why is there such a significant difference between floating-point convolution and quantized integer convolution results?
• Why pytorch use triton as backend of inductor?
• Why the reserved memory is much larger than occupied memory?
• “no-op” (?

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