Jay Desai

added get_price_history function which removed 300 candles limit

1

Recursive + Binary Search

Cannot generate Minimum Spanning Tree; the implemented Prim's does not produce the full minimum spanning tree error when using array with dims >60. https://github.com/scikit-learn-contrib/hdbscan/issues/32 https://github.com/scikit-learn-contrib/hdbscan/commit/70cec3257d34cd1f875ae208a0400a6ae36bede1

replace these lines - plt.scatter(m1s, m2s, c=labels) plt.legend([str(i) for i in set(labels)]) with the lines below - scatter = plt.scatter(m1s, m2s, c=labels) plt.legend(handles=scatter.legend_elements()[0], labels=set(labels))

Centernet2 to torch.jit.trace

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It is throwing whole bunch of errors where constants are used in the custom heads/backbones. Can we get a jit.trace- able centernet2 ?

Any plans for PRequesting in detectron2 repo?

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Any plans for PRequesting in detectron2 repo?

Any plans on writing a paper?

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Amazing project, it would be awesome if all the information is in a research paper, easier to read. Thanks

Pytorch 2 generation/utils.py , 'torch.distributed' has no attribute 'world_size'

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### System Info transformers 4.28.0.dev0 pytorch 2 cuda 117 File "/usr/local/lib/python3.8/dist-packages/transformers/generation/utils.py", line 1196, in generate if is_deepspeed_zero3_enabled() and dist.world_size() > 1: AttributeError: module 'torch.distributed' has no attribute 'world_size' https://github.com/huggingface/transformers-bloom-inference/blob/7bea3526d8270b4aeeefecc57d7d7d638e2bbe0e/bloom-inference-scripts/bloom-ds-zero-inference.py ###...

Int8 training example error with multi-gpu - flan-t5

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RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found one of them on device: cuda:1

Model loaded from_pretrained Lora model goes OOM when trained.

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Training Model loaded from scratch - No OOM: pretrained= 'google/flan-t5-xl' model = AutoModelForSeq2SeqLM.from_pretrained(pretrained,low_cpu_mem_usage=True) tokenizer = AutoTokenizer.from_pretrained(pretrained) peft_config = LoraConfig( task_type=TaskType.SEQ_2_SEQ_LM, inference_mode=False, r=8, lora_alpha=32, lora_dropout=0.1) model.enable_input_require_grads() #https://github.com/huggingface/peft/issues/137 model = get_peft_model(model, peft_config)...

Can't push to registry : HTTP error

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Hi, I use this docker registry UI and I have an issue... ## Bug description Registry started using : docker run -d -p 5000:80 -e REGISTRY_TITLE="PRegistry" -e REGISTRY_URL=http://localhost:5000 joxit/docker-registry-ui:latest when...