#13368: fix mlp reshard

tenstorrent · Oct 29, 2024 · 9efcb57 · 9efcb57
1 parent 8c28a0a
commit 9efcb57
Showing 1 changed file with 1 addition and 2 deletions.
diff --git a/models/demos/llama3/tt/llama_mlp.py b/models/demos/llama3/tt/llama_mlp.py
@@ -107,8 +107,7 @@ def forward(self, x: ttnn.Tensor, mode) -> ttnn.Tensor:
             mode == "decode"
         ):  # TODO Add a check for a match between FF1/FF3 and FF2 memory configs. If they match avoid doing the reshard
             # Reshard w2_in to a different core_grid configuration. Avoid using ttnn.reshard() due to incompatibility with trace mode
-            w2_in = ttnn.sharded_to_interleaved(w2_in, ttnn.L1_MEMORY_CONFIG)
-            w2_in = ttnn.interleaved_to_sharded(w2_in, self.model_config["SHARDED_MLP2_INPUT_MEMCFG"])
+            w2_in = ttnn.reshard(w2_in, self.model_config["SHARDED_MLP2_INPUT_MEMCFG"])
 
         ttnn.deallocate(w3_out)
         ttnn.deallocate(w1_out)