DeepSeek MoE.__init__: experts

Read the equation

In DeepseekV3MoE.__init__, this statement defines or updates self.experts. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

1. Read self.experts as the quantity being defined or updated by this relation.

2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

self.ep_size = config.ep_size
            self.experts_per_rank = config.n_routed_experts // config.ep_size
            self.ep_rank = dist.get_rank()
            self.experts = nn.ModuleList([
                (DeepseekV3MLP(config,
                               intermediate_size=config.moe_intermediate_size)
                 if i >= self.ep_rank * self.experts_per_rank
                 and i < (self.ep_rank + 1) * self.experts_per_rank else None)
                for i in range(config.n_routed_experts)
            ])
        else:
            self.ep_size = 1
            self.experts_per_rank = config.n_routed_experts

self.experts = nn.ModuleList([
                (DeepseekV3MLP(config,
                               intermediate_size=config.moe_intermediate_size)
                 if i >= self.ep_rank * self.experts_per_rank
                 and i < (self.ep_rank + 1) * self.experts_per_rank else None)
                for i in range(config.n_routed_experts)
            ])

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