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More installation methods can be found at [Installation Guide](./docs/installation_guide.md). Please check out our [FAQ](./docs/faq.md) for more details.
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More installation methods can be found at [Installation Guide](./docs/source/installation_guide.md). Please check out our [FAQ](./docs/source/faq.md) for more details.
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## Getting Started
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### Quantization with Python API
@@ -71,7 +71,7 @@ Search for ```jupyter-lab-neural-compressor``` in the Extension Manager in Jupyt
#### Intel® Neural Compressor quantized ONNX models support multiple hardware vendors through ONNX Runtime:
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* Intel CPU, AMD/ARM CPU, and NVidia GPU. Please refer to the validated model [list](./docs/validated_model_list.md#Validated-ONNX-QDQ-INT8-models-on-multiple-hardware-through-ONNX-Runtime).
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* Intel CPU, AMD/ARM CPU, and NVidia GPU. Please refer to the validated model [list](./docs/source/validated_model_list.md#Validated-ONNX-QDQ-INT8-models-on-multiple-hardware-through-ONNX-Runtime).
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### Validated Software Environment
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> Set the environment variable ``TF_ENABLE_ONEDNN_OPTS=1`` to enable oneDNN optimizations if you are using TensorFlow v2.6 to v2.8. oneDNN is the default for TensorFlow v2.9.
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### Validated Models
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Intel® Neural Compressor validated 420+ [examples](./examples) for quantization with a performance speedup geomean of 2.2x and up to 4.2x on VNNI while minimizing accuracy loss. Over 30 pruning and knowledge distillation samples are also available. More details for validated models are available [here](docs/validated_model_list.md).
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Intel® Neural Compressor validated 420+ [examples](./examples) for quantization with a performance speedup geomean of 2.2x and up to 4.2x on VNNI while minimizing accuracy loss. Over 30 pruning and knowledge distillation samples are also available. More details for validated models are available [here](./docs/source/validated_model_list.md).
* Neural Coder, a new plug-in for Intel Neural Compressor was covered by [Twitter](https://twitter.com/IntelDevTools/status/1583629213697212416), [LinkedIn](https://www.linkedin.com/posts/intel-software_oneapi-ai-deeplearning-activity-6989377309917007872-Dbzg?utm_source=share&utm_medium=member_desktop), and [Intel Developer Zone](https://mp.weixin.qq.com/s/LL-4eD-R0YagFgODM23oQA) from Intel, and [Twitter](https://twitter.com/IntelDevTools/status/1583629213697212416/retweets) and [LinkedIn](https://www.linkedin.com/feed/update/urn:li:share:6990377841435574272/) from Hugging Face. (Oct 2022)
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* Intel Neural Compressor successfully landed on [GCP](https://console.cloud.google.com/marketplace/product/bitnami-launchpad/inc-tensorflow-intel?project=verdant-sensor-286207), [AWS](https://aws.amazon.com/marketplace/pp/prodview-yjyh2xmggbmga#pdp-support), and [Azure](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/bitnami.inc-tensorflow-intel) marketplace. (Oct 2022)
sed 's/.md/.html/g; s/.\/docs\/source\//.\//g; s/.\/neural_coder\/extensions\/screenshots/imgs/g; s/.\/docs\/source\/_static/..\/\/_static/g;'"./source/README.md.tmp">"./source/README.md"
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rm -f "./source/README.md.tmp"
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# make sure other png can display normal
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$(SPHINXBUILD) -b html "$(SOURCEDIR)""$(BUILDDIR)/html"$(SPHINXOPTS)$(O)
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