mirror of https://github.com/google/gemma.cpp.git
Remove unused vars.
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3d72f17261
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@ -247,7 +247,6 @@ struct CompressTraits<hwy::bfloat16_t> {
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using VU32 = hn::VFromD<decltype(du32)>;
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const VU32 odd = Set(du32, 0xFFFF0000u);
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VF32 be0, bo0, be1, bo1;
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for (size_t i = 0; i < num; /* i += 2 * N */) {
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const auto interleaved0 = hn::LoadU(dbf16, in + in_ofs + i);
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const VF32 ae0 = Load(df32, vec_aligned + i);
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@ -585,7 +585,6 @@ HWY_NOINLINE void GriffinRecurrent(
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// X / Y linear layers.
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for (size_t batch_idx = 0; batch_idx < num_tokens; ++batch_idx) {
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const size_t batch_offset = batch_idx * kModelDim;
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const size_t pos = batch_start + batch_idx;
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float* HWY_RESTRICT y = activations.griffin_y.data() + batch_offset;
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float* HWY_RESTRICT x = activations.griffin_x.data() + batch_offset;
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TwoMatVecAdd<kAdd, kModelDim, kModelDim>(
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@ -691,7 +690,6 @@ HWY_NOINLINE void GriffinRecurrent(
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// Final linear layer.
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for (size_t batch_idx = 0; batch_idx < num_tokens; ++batch_idx) {
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const size_t batch_offset = batch_idx * kModelDim;
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const size_t pos = batch_start + batch_idx;
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float* HWY_RESTRICT x = activations.griffin_x.data() + batch_offset;
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float* out_ptr = activations.att_post2.data() + batch_idx * kModelDim;
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MatVecAdd<kAdd, kModelDim, kModelDim>(
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