mdz/pytorch/ResNetSE/2_compile/config/ResNetSE_16.toml

54 lines
1.7 KiB
TOML

[parse]
net_name = "ResNetSE"
framework = "pytorch"
frame_version = "1.9"
inputs = [1,398,80]#forResNetSE
inputs_layout = "FD"
pre_method = "nop"
pre_scale = "nop"
pre_mean = "nop"
channel_swap ="nop"
network = "./fmodel/ResNetSE_predictor_1x398x80.pt"
jr_path = "../3_deploy/modelzoo/ResNetSE/imodel/16/"
[optimize]
target = "BUYI"
json = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_parsed.json"
raw = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_parsed.raw"
jr_path = "../3_deploy/modelzoo/ResNetSE/imodel/16/"
[quantize]
forward_mode = "image"
saturation = "kld"
forward_dir = "./qtset/UrbanSound8K"
forward_list = "./qtset/UrbanSound8K.txt"
batch = 1
bits = 16
json = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_optimized.json"
raw = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_optimized.raw"
jr_path = "../3_deploy/modelzoo/ResNetSE/imodel/16/"
per = "channel"
target = "buyi"
[adapt]
target = "BUYI"
json = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_quantized.json"
raw = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_quantized.raw"
jr_path = "../3_deploy/modelzoo/ResNetSE/imodel/16/"
[generate]
json = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_adapted.json"
raw = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_adapted.raw"
jr_path = "../3_deploy/modelzoo/ResNetSE/imodel/16/"
[run]
log_time = true
log_io = true
dump_format = "SFB"
json = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_BY.json"
raw = "../3_deploy/modelzoo/ResNetSE/imodel/16/ResNetSE_BY.raw"
input = "./qtset/UrbanSound8K/100852-0-0-16.ftmp"
backends = "BY,socket://ql100aiu@192.168.125.184:9981?npu=0x40000000&dma=0x80000000;Host"