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@@ -147,7 +147,7 @@ To visualize the usage of the memory and gpu's vram/utilis and more you can prof
   1. pip install the versions that mentioned in the dependencies section of these libs tensorboard and tensorboard-data-server.
   2. Visualize pytorch profiles by runing the command provided below.
   ```python
-  tensorboard --logdir="/gpfs/scratch/ehpc317/esavirdi/startClean/profiles/bfp16_fp8_1node" --port="6006" --bind_all
   ````
 - follow the steps to visualize with **nsight systems**:
   1. download the files on to you local machine.

   1. pip install the versions that mentioned in the dependencies section of these libs tensorboard and tensorboard-data-server.
   2. Visualize pytorch profiles by runing the command provided below.
   ```python
+  tensorboard --logdir="/gpfs/scratch/ehpc317/esavirdi/dual_precision_training/profiles/Llama-3.1-8B-Instruct_tensorwise" --port="6006"
   ````
 - follow the steps to visualize with **nsight systems**:
   1. download the files on to you local machine.