reshaped tesors for parity to match

onnxruntime/test/python/transformers/test_parity_dbrx_moe.py

@@ -104,10 +104,6 @@ def create_moe_onnx_graph(
         ),
     ]
 
-    fc1_experts_weights = fc1_experts_weights.view(16, 6144, 10752)
-    fc2_experts_weights = fc2_experts_weights.view(16, 6144, 10752).transpose(1, 2)
-    fc3_experts_weights = fc3_experts_weights.view(16, 6144, 10752)
-
     fc1_shape = [num_experts, hidden_size, inter_size]
     fc2_shape = [num_experts, inter_size, hidden_size]
     fc3_shape = [num_experts, hidden_size, inter_size]
@@ -310,9 +306,9 @@ def __init__(self, hidden_size: int,
             self.moe_num_experts,
             self.hidden_size,
             self.ffn_hidden_size,
-            self.mlp.w1,
-            self.mlp.v1,
-            self.mlp.w2,
+            self.mlp.w1.view(moe_num_experts, hidden_size, ffn_hidden_size).reshape(moe_num_experts, hidden_size, ffn_hidden_size),
+            self.mlp.w2.view(moe_num_experts, ffn_hidden_size, hidden_size).transpose(1, 2).reshape(moe_num_experts, ffn_hidden_size, hidden_size),
+            self.mlp.v1.view(moe_num_experts, hidden_size, ffn_hidden_size).reshape(moe_num_experts, hidden_size, ffn_hidden_size),
             self.moe_top_k
         )