ThatAIguyA world of ideas

THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.

ConsciousnessLearn · Explore · Joseph Anady

Pad value vectors to the query-head width

The FlashAttention path appends zero-valued components to V when the value width is smaller than the query width. With the displayed 192 and 128 widths, it appends 64 zeros. The operation occurs before cache update in the embedded implementation, so the padded width…

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-cba006e6565fc2source-code mathematical expression
valuestates=F.pad(valuestates,[0,self.qheaddim−self.vheaddim])value_states = F.pad(value_states, [0, self.q_head_dim - self.v_head_dim])

Read the equation

The FlashAttention path appends zero-valued components to V when the value width is smaller than the query width. With the displayed 192 and 128 widths, it appends 64 zeros. The operation occurs before cache update in the embedded implementation, so the padded width affects that cache allocation. The output is later sliced back to the original value width.

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

Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.

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
key_states[:, :, :, self.qk_nope_head_dim:] = k_pe

        if self.q_head_dim != self.v_head_dim:
            value_states = F.pad(value_states,
                                 [0, self.q_head_dim - self.v_head_dim])

        if past_key_value is not None:
            cache_kwargs = {"sin": sin, "cos": cos}  # Specific to RoPE models
Exact original notation
value_states = F.pad(value_states,
                                 [0, self.q_head_dim - self.v_head_dim])

Related builds

Sources & provenance

01
kimi source tree.txt
lines 3265–3266 · Aug 5, 2026
value_states = F.pad(value_states, [0, self.q_head_dim - self.v_head_dim])
02
DEEPSEEK_R1_COMPLETE.txt
lines 3052–3052 · Aug 5, 2026
value_states = F.pad(value_states, [0, self.q_head_dim - self.v_head_dim])
03
kimi source tree.txt
lines 3265–3266 · Aug 5, 2026
value_states = F.pad(value_states, [0, self.q_head_dim - self.v_head_dim])
04
DEEPSEEK_R1_COMPLETE.txt
lines 3052–3052 · Aug 5, 2026
value_states = F.pad(value_states, [0, self.q_head_dim - self.v_head_dim])

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