diff --git a/beginner_source/deeplabv3_on_android.rst b/beginner_source/deeplabv3_on_android.rst index f2fe0e48f15..5ca7f01ad06 100644 --- a/beginner_source/deeplabv3_on_android.rst +++ b/beginner_source/deeplabv3_on_android.rst @@ -5,6 +5,10 @@ Image Segmentation DeepLabV3 on Android **Reviewed by**: `Jeremiah Chung `_ +.. warning:: + PyTorch Mobile is no longer actively supported. Please check out `ExecuTorch `_, PyTorch’s all-new on-device inference library. You can also review our `end-to-end workflows `_ and review the `source code for DeepLabV3 `_. + + Introduction ------------ diff --git a/prototype_source/lite_interpreter.rst b/prototype_source/lite_interpreter.rst new file mode 100644 index 00000000000..73e950d72e2 --- /dev/null +++ b/prototype_source/lite_interpreter.rst @@ -0,0 +1,9 @@ +(Prototype) Introduce lite interpreter workflow in Android and iOS +======================= + +This tutorial has been moved to https://pytorch.org/tutorials/recipes/mobile_interpreter.html + + +.. raw:: html + + diff --git a/recipes_source/mobile_interpreter.rst b/recipes_source/mobile_interpreter.rst index dda1dd92435..44036e74ffd 100644 --- a/recipes_source/mobile_interpreter.rst +++ b/recipes_source/mobile_interpreter.rst @@ -3,6 +3,9 @@ **Author**: `Chen Lai `_, `Martin Yuan `_ +.. warning:: + PyTorch Mobile is no longer actively supported. Please check out `ExecuTorch `_, PyTorch’s all-new on-device inference library. You can also review our new documentation to learn more about how to build `iOS `_ and `Android `_ apps with ExecuTorch. + Introduction ------------ diff --git a/recipes_source/mobile_perf.rst b/recipes_source/mobile_perf.rst index aae1447cbf8..14f183ab69e 100644 --- a/recipes_source/mobile_perf.rst +++ b/recipes_source/mobile_perf.rst @@ -1,6 +1,9 @@ Pytorch Mobile Performance Recipes ================================== +.. warning:: + PyTorch Mobile is no longer actively supported. Please check out `ExecuTorch `_, PyTorch’s all-new on-device inference library. You can also learn more about `quantization `_, `Hardware acceleration (op fusion using hw) `_, and `benchmarking `_ on ExecuTorch’s documentation pages. + Introduction ---------------- Performance (aka latency) is crucial to most, if not all, @@ -245,7 +248,7 @@ For example, using ResNet-50 and running the following script: -you would get the following result: +you would get the following result: :: diff --git a/recipes_source/ptmobile_recipes_summary.rst b/recipes_source/ptmobile_recipes_summary.rst index cddee940f2a..6cc8f6f7514 100644 --- a/recipes_source/ptmobile_recipes_summary.rst +++ b/recipes_source/ptmobile_recipes_summary.rst @@ -1,6 +1,9 @@ Summary of PyTorch Mobile Recipes ===================================== +.. warning:: + Note: PyTorch Mobile is no longer actively supported. Please check out `ExecuTorch `_, PyTorch’s all-new on-device inference library. You can also review these `ExecuTorch examples `_. + This summary provides a top level overview of recipes for PyTorch Mobile to help developers choose which recipes to follow for their PyTorch-powered mobile app development. Introduction