From a65cd2036b7d1182441776cda1a5e2cfa3b83e6d Mon Sep 17 00:00:00 2001 From: RiverLiu Date: Fri, 6 Jan 2023 10:45:54 +0800 Subject: [PATCH] [Doc] Fix web link and docs minnor changes (#1750) Co-authored-by: Zheng, Zhaoqiong --- examples/examples.md | 3 ++- examples/train_horovod/mnist/README.md | 2 +- examples/train_horovod/resnet50/README.md | 3 ++- get_started.md | 4 ++++ 4 files changed, 9 insertions(+), 3 deletions(-) diff --git a/examples/examples.md b/examples/examples.md index e0410433f..40d53cb63 100644 --- a/examples/examples.md +++ b/examples/examples.md @@ -11,4 +11,5 @@ A wide variety of examples are provided to demonstrate the usage of Intel® Exte |[Accelerate AlexNet by Quantization with Intel® Extension for Tensorflow*](./accelerate_alexnet_by_quantization/README.html)| An end-to-end example to show a pipeline to build up a CNN model to
recognize handwriting number and speed up AI model with quantization
by Intel® Neural Compressor and Intel® Extension for Tensorflow* on Intel GPU.|GPU| |[Accelerate Deep Learning Inference for Model Zoo Workloads on Intel CPU and GPU](./model_zoo_example/README.html)|Examples on running Model Zoo workloads on Intel CPU and GPU with the optimizations from Intel® Extension for TensorFlow*, without any code changes.|CPU & GPU| |[Quantize Inception V3 by Intel® Extension for Tensorflow* on Intel® Xeon®](./quantize_inception_v3/README.html)|An end-to-end example to show how Intel® Extension for Tensorflow* provides quantization feature by cooperating with Intel® Neural Compressor and oneDNN Graph. It will provide better quantization: better performance and accuracy loss is in controlled.|CPU| -|[ResNet50 and Mnist training with Horovod](./train_horovod/README.html)|ResNet50 and Mnist distributed training examples on Intel GPU. |GPU| +|[Mnist training with Intel® Optimization for Horovod*](./train_horovod/mnist/README.html)|Mnist distributed training example on Intel GPU. |GPU| +|[ResNet50 training with Intel® Optimization for Horovod*](./train_horovod/resnet50/README.html)|ResNet50 distributed training example on Intel GPU. |GPU| diff --git a/examples/train_horovod/mnist/README.md b/examples/train_horovod/mnist/README.md index 9dbbd30a2..0b295a226 100644 --- a/examples/train_horovod/mnist/README.md +++ b/examples/train_horovod/mnist/README.md @@ -3,7 +3,7 @@ ## Dependency - [Tensorflow](https://pypi.org/project/tensorflow/) - [Intel® Extension for TensorFlow*](https://pypi.org/project/intel-extension-for-tensorflow/) -- [Intel® Optimization for Horovod*](https://pypi.org/project/intel-extension-for-horovod) +- [Intel® Optimization for Horovod*](https://pypi.org/project/intel-optimization-for-horovod/) - others show as below ``` pip install gin gin-config tensorflow-addons tensorflow-model-optimization tensorflow-datasets diff --git a/examples/train_horovod/resnet50/README.md b/examples/train_horovod/resnet50/README.md index f1ce3cf88..1d91b410a 100644 --- a/examples/train_horovod/resnet50/README.md +++ b/examples/train_horovod/resnet50/README.md @@ -1,7 +1,8 @@ # Distributed training example with Intel® Optimization for Horovod* ## Model Information -| **Use Case** |**Framework** | **Model Repo** | **Branch/Commit/Tag** | **Optional Patch** + +| Use Case |Framework | Model Repo | Branch Commit Tag | Optional Patch | :---: | :---: | :---: | :---: | :---: | | Training | Tensorflow | [Tensorflow-Models](https://github.com/tensorflow/models) | v2.8.0 | itex.yaml
itex_dummy.yaml
hvd_support_light.patch
or hvd_support.patch | diff --git a/get_started.md b/get_started.md index c1e16848e..067c49ab9 100644 --- a/get_started.md +++ b/get_started.md @@ -69,6 +69,10 @@ Sanity check by: python -c "import intel_extension_for_tensorflow as itex; print(itex.__version__)" ``` +## Resources +- [TensorFlow GPU device plugins](https://www.tensorflow.org/install/gpu_plugins) +- [Accelerating TensorFlow on Intel® Data Center GPU Flex Series](https://blog.tensorflow.org/2022/10/accelerating-tensorflow-on-intel-data-center-gpu-flex-series.html) +- [Meet the Innovation of Intel AI Software: Intel® Extension for TensorFlow*](https://cqpreview.intel.com/content/www/us/en/developer/articles/technical/innovation-of-ai-software-extension-tensorflow.html) ## Support Please submit your questions, feature requests, and bug reports on the [GitHub issues](https://github.com/intel/intel-extension-for-tensorflow/issues) page.