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Refresh examples for SDK2.6
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.gitignore

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vars.capnp
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*.onnx
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*.popef
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.DS_Store
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nohup.*
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**/wandb
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utils/triton_server/backends
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!vision/cnns/pytorch/tests/tritonserver/models/*/*/*.json
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README.md

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| BERT | NLP | Training & Inference |[TensorFlow 1](nlp/bert/tensorflow1) , [PyTorch](nlp/bert/pytorch) , [PopART](nlp/bert/popart), [TensorFlow 2](nlp/bert/tensorflow2/), [PopXL](nlp/bert/popxl), [PaddlePaddle](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/bert/static_ipu), [Hugging Face Optimum](https://huggingface.co/Graphcore/bert-large-ipu)|
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| Group BERT | NLP | Training |[TensorFlow 1](nlp/bert/tensorflow1/README.md#GroupBERT_model) |
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| Packed BERT | NLP | Training |[PyTorch](nlp/bert/pytorch), [PopART](nlp/bert/popart) |
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| GPT2 | NLP | Training |[PyTorch](nlp/gpt/pytorch) , [Hugging Face Optimum](https://huggingface.co/Graphcore/gpt2-medium-ipu) |
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| GPT2 | NLP | Training |[PyTorch](nlp/gpt2/pytorch) , [Hugging Face Optimum](https://huggingface.co/Graphcore/gpt2-medium-ipu) |
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| RoBERTa | NLP | Training | [Hugging Face Optimum](https://huggingface.co/Graphcore/roberta-large-ipu)|
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| DeBERTa | NLP | Training | [Hugging Face Optimum](https://huggingface.co/Graphcore/deberta-base-ipu)|
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| HuBERT | NLP | Training | [Hugging Face Optimum](https://huggingface.co/Graphcore/hubert-base-ipu)|
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| DeepVoice3 | TTS (TextToSpeech) | Training & Inference |[PopART](speech/deepvoice3/popart) |
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| FastSpeech2 | TTS(TextToSpeech) | Training & Inference | [TensorFlow 2](speech/fastspeech2/tensorflow2) |
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| Fastpitch | TTS (TextToSpeech) | Training | [PyTorch](speech/fastpitch/pytorch) |
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| Conformer | STT(SpeechToText) | Training & Inference | [PopART](speech/conformer/popart), [TensorFlow 1](speech/conformer/tensorflow1) |
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| Conformer | STT(SpeechToText) | Training & Inference | [PopART](speech/conformer/popart), [TensorFlow 1](speech/conformer/tensorflow1), [PyTorch](speech/conformer/pytorch)|
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| Transfomer Transducer | STT(SpeechToText) | Training & Inference | [PopART](speech/transformer_transducer/popart) |
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| WeNet-Conformer | STT(SpeechToText) | Training | [PyTorch](speech/wenet_conformer/pytorch) |
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| Wav2Vec2 | STT(SpeechToText) | Training | [Hugging Face Optimum](https://huggingface.co/Graphcore/wav2vec2-base-ipu)|
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<br>
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## Changelog
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<details>
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<summary>Aug 2022</summary>
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<br>
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* Change the folder name of models
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* NLP : from gpt to gpt2
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* Speech : from wenet-conformer to conformer
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</details>
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<details>
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<summary>July 2022</summary>
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<br>
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gnn/cluster_gcn/tensorflow2/benchmarks.yml

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---
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# --- Train Cluster-GCN model ---
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train_options: &train_options
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env:
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TF_POPLAR_FLAGS: '--executable_cache_path=/tmp/tf_cache/'
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data:
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throughput:
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regexp: 'Mean throughput over real nodes \(no padding\) for training:\s*([\d\.]+)'

gnn/cluster_gcn/tensorflow2/requirements.txt

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tensorflow-addons==0.14.0
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trainlog==0.2
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wandb==0.12.8
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git+https://github.com/graphcore/examples-utils@e60289e0744c061dcfb060131cd3fbd7ad2840e0#egg=examples-utils
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git+https://github.com/graphcore/examples-utils@6d3b8367d5c6d2cda5a0e7849138d0ee8a8c6756#egg=examples-utils

gnn/message_passing/tensorflow2/requirements.txt

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pytest-xdist==2.5.0
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regex==2022.4.24
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git+https://github.com/graphcore/examples-utils@e60289e0744c061dcfb060131cd3fbd7ad2840e0#egg=examples-utils
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git+https://github.com/graphcore/examples-utils@6d3b8367d5c6d2cda5a0e7849138d0ee8a8c6756#egg=examples-utils

gnn/tgn/tensorflow1/requirements.txt

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torch-sparse==0.6.9
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types-dataclasses==0.6.1
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git+https://github.com/graphcore/examples-utils@6d3b8367d5c6d2cda5a0e7849138d0ee8a8c6756#egg=examples-utils
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pytest==6.2.5
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pandas==1.1.4
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git+https://github.com/graphcore/examples-utils@6d3b8367d5c6d2cda5a0e7849138d0ee8a8c6756#egg=examples-utils

multimodal/CLIP/pytorch/requirements.txt

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torchvision==0.11.1
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pytest==6.2.5
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git+https://github.com/graphcore/examples-utils@e60289e0744c061dcfb060131cd3fbd7ad2840e0#egg=examples-utils
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git+https://github.com/graphcore/examples-utils@6d3b8367d5c6d2cda5a0e7849138d0ee8a8c6756#egg=examples-utils

multimodal/mini_dalle/pytorch/requirements.txt

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git+https://github.com/graphcore/examples-utils@6d3b8367d5c6d2cda5a0e7849138d0ee8a8c6756#egg=examples-utils

nlp/bert/popart/requirements.txt

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git+https://github.com/graphcore/examples-utils@6d3b8367d5c6d2cda5a0e7849138d0ee8a8c6756#egg=examples-utils
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mpi4py==3.1.3
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