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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

DeepSeek MoE.moe_infer: output splits

In DeepseekV3MoE.moe_infer, this statement defines or updates output_splits. The reduction aggregates values along the explicit source axis; preserving the axis and keep-dimension setting matters for the later broadcast.

Donor model implementationhistorical source recovered; expression not executed in this website audit
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donor-eq-3df9cd32c787c3source-code mathematical expression
outputsplits=(tokensperexpertgroup.view(self.epsize,−1).sum(1).cpu().numpy().tolist())output_splits = (tokens_per_expert_group.view( self.ep_size, -1).sum(1).cpu().numpy().tolist())

Read the equation

In DeepseekV3MoE.moe_infer, this statement defines or updates output_splits. The reduction aggregates values along the explicit source axis; preserving the axis and keep-dimension setting matters for the later broadcast.

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 output_splits 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

Read the surrounding source passage
tokens_per_expert_group = tokens_per_expert.new_empty(
                tokens_per_expert.shape[0])
            dist.all_to_all_single(tokens_per_expert_group, tokens_per_expert)
            output_splits = (tokens_per_expert_group.view(
                self.ep_size, -1).sum(1).cpu().numpy().tolist())
            gathered_tokens = sorted_tokens.new_empty(
                tokens_per_expert_group.sum(dim=0).cpu().item(),
                sorted_tokens.shape[1])
Exact original notation
output_splits = (tokens_per_expert_group.view(
                self.ep_size, -1).sum(1).cpu().numpy().tolist())

Related builds

Sources & provenance

01
kimi source tree.txt
lines 2883–2884 · Aug 5, 2026
output_splits = (tokens_per_expert_group.view( self.ep_size, -1).sum(1).cpu().numpy().tolist())
02
DEEPSEEK_R1_COMPLETE.txt
lines 2658–2664 · Aug 5, 2026
output_splits = ( tokens_per_expert_group.view(self.ep_size, -1) .sum(1) .cpu() .numpy() .tolist() )

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