The fused mode appended the codec stream tail to the predictor frame
graph, so one compute produced both a frame's codes and its 80 ms of
audio with no host round trip. The experiment applied to max_batch 1
with a streaming synthesis only, it cost throughput against the
buffered flush that stays the default, and it kept a second frame
graph, its ring inputs and an init flag alive for that single case. It
is not worth keeping.
Remove the tail helpers, the fused graph of CodePredGraphSet, the
codec_fused field of qt_init_params, the --codec-fused flag of both
tools and the harness switch that exercised it. The predictor frame
unroll and the in graph sampler are untouched.
Each harness re-runs the C++ side with --codec-fused after the
buffered run and gates on codes-full.bin equality between the two:
the decode path cannot change the predictor, so any divergence is a
bug. The fused run's perf lines land in the log as [Perf Fused] next
to the buffered ones, so every grid cell carries the buffered vs
fused comparison per backend and quant.
The fused audio itself is not scored here: greedy amplitudes vanish
in the streamed PCM_16 and the fused FP envelope has its own
validation against the stream path.
mel-spk and mel-mag dumps in speaker-encoder-extract.h applied an extra
ggml_transpose plus cont before write. Raw ggml ne=(C, T) already
streams as numpy [T, C], so the transpose was inverting axes vs the
python upstream. Removed it.
MelMag 0.04 -> 0.999, MelSpk 0.92 -> 0.998
spk_conv1d_same passed ggml_im2col a kernel ne=(K, 1, IC, 1) and an
input ne=(T_pad, 1, IC, 1) with IC in ne[2]. But the im2col impl reads
IC = b->ne[1] when is_2D=false, so it saw IC=1, wrote OW*K floats into
a buffer declared for OW*IC*K floats, and mul_mat consumed 99% garbage.
Moved IC into ne[1] for both kernel and input, which makes the impl
read the real IC and writes a buffer coherent with the declared ne. The
permute and the retranspose after pad become unnecessary, dropped both.
SpkFrontend 0.74 -> 0.994, SpeakerEmb 0.86 -> 0.996
Adds ECAPA bisection infrastructure : 4 stage out params in
speaker_encoder_forward (frontend, block3, mfa, asp), codec encoder
intermediate dumps in pipeline-codec.cpp (seanet-out, enc-transformer
out, codec-pre-fsq), matching pytorch hooks in debug-clone-cossim.py.
Pascal