llama.cpp

49a7564a - ggml webgpu: fix workgroup dispatch limit for large batch sizes (#19965)

ggml webgpu: fix workgroup dispatch limit for large batch sizes (#19965) * ggml-webgpu: fix workgroup dispatch limit for large batch sizes WebGPU limits workgroup sizes to 65535 per dimension. Large MUL_MAT operations with batch sizes exceedeing this limi would fail. * add compute_2d_workgroups() helper to split total workgroup ID across X/Y dimensions * update mul_mat_reg_tile.wgsl to reconstruct linear workgroup ID from 2D dispatch * update mul_mat_subgroup_matrix.wgsl to reconstruct linear workgroup ID from 2D dispatch * update mul_mat.wgsl to compute global index from 2D workgroup coordinates * refactor all three mul_mat dispatch paths to use the shared helper * ggml-webgpu: add bounds checking for over-dispatched workgroups 2D workgroup dispatch can over-dispatch when total workgroups don't divide evenly into the 65535 per-dimension limit. Extra workgroups would compute invalid batch indices, causing memory corruption. * add batch_idx bound check to mul_mat_reg_tile.wgsl and mul_mat_subgroup_matrix.wgsl to prevent over-dispatched workgroups from accessing invalid memory * fixes test failures with large batch sizes (eg., bs=[128, 1024]) * ggml-webgpu: add back TODO for spliting large sizes into batches * Optimize 2d workgroup provisioning * Set some parameters that increase speed --------- Co-authored-by: Reese Levine <reeselevine1@gmail.com>