Skip to content

Conversation

@loci-dev
Copy link

@loci-dev loci-dev commented Dec 1, 2025

Mirrored from ggml-org/llama.cpp#17651

Isn't it correct to bring the blocks to the sections type, which is int, as above for float?

@loci-agentic-ai
Copy link

Explore the complete analysis inside the Version Insights

Performance Analysis Report - PR #390

Project: llama.cpp
PR: #390 - "ggml: added missing cast sections in memcpy"
Change Scope: Single file modification in ggml/src/ggml.c


Summary

This PR adds a missing type cast in the ggml_compute_backward function within the ROPE backward pass implementation. The change adds (const int *) cast when copying the sections parameter from tensor->op_params. This is a correctness fix that ensures proper type alignment when reading integer data from the operation parameters array, matching the pattern used for float parameters in the same code block. The modification affects 1 line in 1 file with no structural changes to control flow or algorithm logic.

The change is limited to the backward pass computation for ROPE operations, which is used during gradient computation for training or fine-tuning workflows. This code path is not executed during standard inference operations where only forward passes are performed. The cast ensures that the pointer arithmetic correctly interprets the memory layout of the op_params array when extracting the sections array for multi-rope configurations.

Given the nature of this change as a type safety correction with no algorithmic modifications, no performance impact on inference throughput or tokens per second is expected for standard inference workloads.

@loci-dev loci-dev force-pushed the main branch 27 times, most recently from a1705d7 to 920e7af Compare December 3, 2025 16:11
@loci-dev loci-dev force-pushed the main branch 30 times, most recently from 0e7b989 to 24b5a2d Compare December 10, 2025 19:08
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants