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SHA-256ac96c97d3eadb98fd71f6d7c8dccf81c52157b3337113eee6a21be26aeaa26aa

URLhttps://huggingface.co/logeshsenthil13/ConvFormer

Evidence

Contains common English function words lines 1–9

⋯4 lines
5#
6# Anything can be re-run in isolation; every step writes its own results/*.json
7# and 8_report.py just collects whatever is there.
8#
9# Budget: ConvFormer-B36 is 99.9 M params / ~23  …

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9:66…  - four times
10# Inception-V3's parameter count. The five engine builds dominate the wall clock,
11# and the FP32 build is the heaviest. OPTLEVEL=1 cu …

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16:33…  calibration npz on top of a 400 MB model. If
17# that is too much on an Orin Nano, run `python 4_make_calib.py --num 512
18# --batch 8` first and then `bash run …

Shell changes working directory lines 23–37

23:9…  6_build_engines.sh fp16 int8 int8_bf16 int4
24
25set -euo pipefail
26cd "$(dirname "$0")"
27source ./env.sh
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29MODEL=convformer_b36
30
31echo; echo "##### 0) dataset splits + preprocessing cache (224 bicubic -> 224)"
32python 0_prepare_data.py
33
34echo; echo "##### 0b) verify preprocessing matches timm's own transform"
35python verify.py
36
37echo; echo "##### …

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38:29… 
39
40echo; echo "##### 2) ONNX export FP32 + FP16 (with the measured fp16 block list)"
41python 2_export_onnx.py
42
43echo; echo "##### 3) ONNX Runtime eval  …