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ConsciousnessLearn · Explore · Joseph Anady

Rope2DPosEmbRepeated._precompute_freqs_cis: dim range

In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates dim_range. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.

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donor-eq-1b2639875394e9source-code mathematical expression
dim_range = (torch.arange(0, self.dim, 4)[:(self.dim // 4)].float().to(device) )

Read the equation

In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates dim_range. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.

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 dim_range 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
flat_pos = torch.arange(0, N).float().to(device)
        x_pos = flat_pos % self.max_width
        y_pos = flat_pos // self.max_width
        dim_range = (torch.arange(0, self.dim,
                                  4)[:(self.dim // 4)].float().to(device)
                     )  # C/4
        freqs = 1.0 / (self.theta_base**(dim_range / self.dim))
        x_freqs = torch.outer(x_pos, freqs).float()  # N, C/4
        y_freqs = torch.outer(y_pos, freqs).float()  # N, C/4
Exact original notation
dim_range = (torch.arange(0, self.dim,
                                  4)[:(self.dim // 4)].float().to(device)
                     )

Related builds

Sources & provenance

01
kimi source tree.txt
lines 1450–1452 · Aug 5, 2026
dim_range = (torch.arange(0, self.dim, 4)[:(self.dim // 4)].float().to(device) )

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