Update

Author: svekars

ecosystem.rst

@@ -54,7 +54,7 @@ to production deployment.
    :card_description: This tutorial covers how to run quantized and fused models on a Raspberry Pi 4 at 30 fps.
    :image: _static/img/thumbnails/cropped/realtime_rpi.png
    :link: intermediate/realtime_rpi.html
-   :tags: TorchScript,Model-Optimization,Image/Video,Quantization,Ecosystem
+   :tags: Model-Optimization,Image/Video,Quantization,Ecosystem
 
 .. End of tutorial card section
 .. -----------------------------------------

prototype_source/prototype_index.rst

@@ -41,7 +41,7 @@ decide if we want to upgrade the level of commitment or to fail fast.
 .. customcarditem::
    :header: (prototype) Accelerating BERT with semi-structured (2:4) sparsity
    :card_description: Prune BERT to be 2:4 sparse and accelerate for inference.
-   :image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
+   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
    :link: prototype/semi_structured_sparse.html
    :tags: Model-Optimiziation