benchmark_train.txt 2.2 KB
Newer Older
dlyrm's avatar
dlyrm committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
===========================train_params===========================
model_name:ppyolo_mbv3_large_coco
python:python
gpu_list:0,1,2,3,4,5,6,7
use_gpu:True
auto_cast:fp16
epoch:benchmark_train=1
save_dir:null
TrainReader.batch_size:benchmark_train=24
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:null
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:null
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================train_benchmark_params==========================
batch_size:24
fp_items:fp32|fp16
epoch:1
repeat:10
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x320x320.npy