Errors when running Llama3 8b on executorch QNN backend

username: Jiawei_Liu1
cooked: <p>I was following the executorch tutorial sesion “Building and Running Llama 3 8B Instruct with Qualcomm AI Engine Direct Backend”. I’ve finished converting the llama3 8b and the llama_main runner compiling. But I got this error when I was running the llama_main runner on the phone through the command “./llama_main --model_path llama3_8b.pte --tokenizer_path tokenizer.model --prompt “What is the capital of France?” --seq_len 120 --warmup=1”:<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/d/8/d8ce86adb21ef9a98ae88fb31231c598efc6acdd.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/d8ce86adb21ef9a98ae88fb31231c598efc6acdd" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/d/8/d8ce86adb21ef9a98ae88fb31231c598efc6acdd_2_690x289.jpeg" alt="image" data-base62-sha1="uVXC38yZ7i4jiQScp4sdGqHNXFr" width="690" height="289" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/d/8/d8ce86adb21ef9a98ae88fb31231c598efc6acdd_2_690x289.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/d/8/d8ce86adb21ef9a98ae88fb31231c598efc6acdd_2_1035x433.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/d/8/d8ce86adb21ef9a98ae88fb31231c598efc6acdd_2_1380x578.jpeg 2x" data-dominant-color="F1F1F1"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1682×706 197 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br>
I was pushing the model to meizu 21pro which is 8gen3 android phone with 16G RAM.<br>
Did anyone have this question before?</p>

username: Jiawei_Liu1
cooked: <p>Additional error log<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/1/6/16c4849fc383c074ed928319442a797a815e2f4e.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/16c4849fc383c074ed928319442a797a815e2f4e" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/1/6/16c4849fc383c074ed928319442a797a815e2f4e_2_690x235.jpeg" alt="image" data-base62-sha1="3fpxCP0tYMS6pkxqMVjZXCUDOjA" width="690" height="235" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/1/6/16c4849fc383c074ed928319442a797a815e2f4e_2_690x235.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/1/6/16c4849fc383c074ed928319442a797a815e2f4e_2_1035x352.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/1/6/16c4849fc383c074ed928319442a797a815e2f4e_2_1380x470.jpeg 2x" data-dominant-color="F1F1F1"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1562×534 140 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>

username: Jiawei_Liu1
cooked: <p>Files in my phone directory:<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/1/b/1b8bab21adf038e95950e762f57ba4674bb8a89e.png" data-download-href="https://discuss.pytorch.org/uploads/default/1b8bab21adf038e95950e762f57ba4674bb8a89e" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/1/b/1b8bab21adf038e95950e762f57ba4674bb8a89e_2_690x34.png" alt="image" data-base62-sha1="3VG83TDxSTAoiLdXEh1L6tiiuWG" width="690" height="34" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/1/b/1b8bab21adf038e95950e762f57ba4674bb8a89e_2_690x34.png, https://discuss.pytorch.org/uploads/default/optimized/3X/1/b/1b8bab21adf038e95950e762f57ba4674bb8a89e_2_1035x51.png 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/1/b/1b8bab21adf038e95950e762f57ba4674bb8a89e_2_1380x68.png 2x" data-dominant-color="E8E8E8"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1858×94 50.6 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>

username: dbort
cooked: <p>Hi <a class="mention" href="/u/jiawei_liu1">@Jiawei_Liu1</a>, sorry for the delay. Could you please file a <a href="https://github.com/pytorch/executorch/issues/new/choose" rel="noopener nofollow ugc">github issue</a> with instructions for reproducing the problem, along with information about your development environment?</p>