happyz
/
gemma.cpp
mirror of https://github.com/google/gemma.cpp.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Remove unused vars.

This commit is contained in:
Zoltan Szabadka 2024-05-03 13:26:00 +00:00
parent 3d72f17261
commit 429eb78512
2 changed files with 0 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
compression/compress-inl.h
View File

@ -247,7 +247,6 @@ struct CompressTraits<hwy::bfloat16_t> {
using VU32 = hn::VFromD<decltype(du32)>; using VU32 = hn::VFromD<decltype(du32)>;
const VU32 odd = Set(du32, 0xFFFF0000u); const VU32 odd = Set(du32, 0xFFFF0000u);
VF32 be0, bo0, be1, bo1;
for (size_t i = 0; i < num; /* i += 2 * N */) { for (size_t i = 0; i < num; /* i += 2 * N */) {
const auto interleaved0 = hn::LoadU(dbf16, in + in_ofs + i); const auto interleaved0 = hn::LoadU(dbf16, in + in_ofs + i);
const VF32 ae0 = Load(df32, vec_aligned + i); const VF32 ae0 = Load(df32, vec_aligned + i);

2
gemma/gemma.cc
View File

@ -585,7 +585,6 @@ HWY_NOINLINE void GriffinRecurrent(
// X / Y linear layers. // X / Y linear layers.
for (size_t batch_idx = 0; batch_idx < num_tokens; ++batch_idx) { for (size_t batch_idx = 0; batch_idx < num_tokens; ++batch_idx) {
const size_t batch_offset = batch_idx * kModelDim; const size_t batch_offset = batch_idx * kModelDim;
const size_t pos = batch_start + batch_idx;
float* HWY_RESTRICT y = activations.griffin_y.data() + batch_offset; float* HWY_RESTRICT y = activations.griffin_y.data() + batch_offset;
float* HWY_RESTRICT x = activations.griffin_x.data() + batch_offset; float* HWY_RESTRICT x = activations.griffin_x.data() + batch_offset;
TwoMatVecAdd<kAdd, kModelDim, kModelDim>( TwoMatVecAdd<kAdd, kModelDim, kModelDim>(
@ -691,7 +690,6 @@ HWY_NOINLINE void GriffinRecurrent(
// Final linear layer. // Final linear layer.
for (size_t batch_idx = 0; batch_idx < num_tokens; ++batch_idx) { for (size_t batch_idx = 0; batch_idx < num_tokens; ++batch_idx) {
const size_t batch_offset = batch_idx * kModelDim; const size_t batch_offset = batch_idx * kModelDim;
const size_t pos = batch_start + batch_idx;
float* HWY_RESTRICT x = activations.griffin_x.data() + batch_offset; float* HWY_RESTRICT x = activations.griffin_x.data() + batch_offset;
float* out_ptr = activations.att_post2.data() + batch_idx * kModelDim; float* out_ptr = activations.att_post2.data() + batch_idx * kModelDim;
MatVecAdd<kAdd, kModelDim, kModelDim>( MatVecAdd<kAdd, kModelDim, kModelDim>(