Multi-head attention mechanism infrastructure and input dimension settings.

+import torch
+import torch.nn as nn
+
+class MultiHeadAttentionLayer(nn.Module):
+    def __init__(self, embed_size, num_heads):
+        super(MultiHeadAttentionLayer, self).__init__()
+        self.embed_size = embed_size
+        self.num_heads = num_heads
+        self.head_dim = embed_size // num_heads
+        
+        assert (self.head_dim * num_heads == embed_size), "Embedding size needs to be divisible by num_heads"
+
+
+if __name__ == "__main__":
+    embed_size = 512
+    num_heads = 8
+    mha_layer = MultiHeadAttentionLayer(embed_size, num_heads)
+    print("Model initialized successfully.")