ThatAIguyA world of ideas

THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.

ConsciousnessLearn · Explore · Joseph Anady

DeepSeek MoE.moe_infer: gatherd idxs[s:s + k]

In DeepseekV3MoE.moe_infer, this statement defines or updates gatherd_idxs[s:s + k]. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding…

Donor model implementationhistorical source recovered; expression not executed in this website audit
Learn with the Atlas

Learn to read this model

Start with the symbols, follow the operations, and check what the result means.

Open guided lesson
donor-eq-43cfd200f95262source-code mathematical expression
gatherdidxs[s:s+k]=igatherd_idxs[s:s + k] = i % self.experts_per_rank

Read the equation

In DeepseekV3MoE.moe_infer, this statement defines or updates gatherd_idxs[s:s + k]. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.

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 gatherd_idxs[s:s + k] as the quantity being defined or updated by this relation.

  2. Uses a remainder or modular operation, retaining the numeric representation used in the source.

  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
dtype=np.int32)
            s = 0
            for i, k in enumerate(tokens_per_expert_group.cpu().numpy()):
                gatherd_idxs[s:s + k] = i % self.experts_per_rank
                s += k
            gatherd_idxs = gatherd_idxs.argsort()
            sorted_tokens = gathered_tokens[gatherd_idxs]
Exact original notation
gatherd_idxs[s:s + k] = i % self.experts_per_rank

Related builds

Sources & provenance

01
kimi source tree.txt
lines 2899–2899 · Aug 5, 2026
gatherd_idxs[s:s + k] = i % self.experts_per_rank
02
DEEPSEEK_R1_COMPLETE.txt
lines 2679–2679 · Aug 5, 2026
gatherd_idxs[s : s + k] = i % self.experts_per_rank

Search equations, builds, manuscript text, and recovered sources.