diff --git a/docs/readthedocs/source/_static/js/chronos_tutorial.js b/docs/readthedocs/source/_static/js/chronos_tutorial.js index 978b3fd8..1c66daf1 100644 --- a/docs/readthedocs/source/_static/js/chronos_tutorial.js +++ b/docs/readthedocs/source/_static/js/chronos_tutorial.js @@ -51,7 +51,8 @@ $(".checkboxes").click(function(){ var ids = ["ChronosForecaster","TuneaForecasting","AutoTSEstimator","AutoWIDE", "MultvarWIDE","MultstepWIDE","LSTMForecaster","AutoProphet","AnomalyDetection", "DeepARmodel","TFTmodel","hyperparameter","taxiDataset","distributedFashion", - "ONNX","Quantize","TCMFForecaster","PenalizeUnderestimation"]; + "ONNX","Quantize","TCMFForecaster","PenalizeUnderestimation", + "GPUtrainingCPUacceleration"]; showTutorials(ids); var disIds = ["simulation"]; disCheck(disIds); @@ -94,7 +95,7 @@ $(".checkboxes").click(function(){ disCheck(disIds); } else if(vals.includes("customized_model")){ - var ids = ["AutoTSEstimator","DeepARmodel","TFTmodel"]; + var ids = ["AutoTSEstimator","DeepARmodel","TFTmodel", "GPUtrainingCPUacceleration"]; showTutorials(ids); var disIds = ["anomaly_detection","simulation","onnxruntime","quantization","distributed"]; disCheck(disIds); @@ -114,7 +115,7 @@ $(".checkboxes").click(function(){ disCheck(disIds); } else if(vals.includes("forecast") && vals.includes("customized_model")){ - var ids = ["DeepARmodel","TFTmodel","AutoTSEstimator"]; + var ids = ["DeepARmodel","TFTmodel","AutoTSEstimator","GPUtrainingCPUacceleration"]; showTutorials(ids); var disIds = ["anomaly_detection","simulation","onnxruntime","quantization","distributed"]; disCheck(disIds); diff --git a/docs/readthedocs/source/doc/Chronos/QuickStart/index.md b/docs/readthedocs/source/doc/Chronos/QuickStart/index.md index 8ac4ae56..c1aa7bb2 100644 --- a/docs/readthedocs/source/doc/Chronos/QuickStart/index.md +++ b/docs/readthedocs/source/doc/Chronos/QuickStart/index.md @@ -244,6 +244,16 @@
+
+ + Accelerate the inference speed of model trained on other platform +

Tag:  

+
+ View source on GitHub +

In this example, we show an example to train the model on GPU and accelerate the model by using onnxruntime on CPU.

+
+
+