mdz/pytorch/deeplabv3plus/2_compile/config/deeplabv3plus_8.toml

54 lines
1.8 KiB
TOML

[parse]
net_name = "deeplabv3plus"
framework = "pytorch"
inputs = [ 1, 513, 513, 3]
inputs_layout = "NHWC"
pre_method = "resize"
pre_scale = [ 58.395, 57.12, 57.375]
pre_mean = [ 123.675, 116.28, 103.53]
channel_swap = [0, 1, 2]
network = "fmodel/deeplab-resnet-513x513.pt"
jr_path = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/"
frame_version = "1.9"
[optimize]
target = "BUYI"
json = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_parsed.json"
raw = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_parsed.raw"
jr_path = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/"
[quantize]
forward_mode = "image"
saturation = "kld"
forward_dir = "./qtset/voc2012"
forward_list = "./qtset/voc2012.txt"
bits = 8
json = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_optimized.json"
raw = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_optimized.raw"
jr_path = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/"
per = "channel"
target = "buyi"
[adapt]
target = "BUYI"
json = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_quantized.json"
raw = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_quantized.raw"
jr_path = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/"
pass_on = "customop.ImageMakePass"
custom_config = "config/customop/deeplabv3plus.toml"
[generate]
json = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_adapted.json"
raw = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_adapted.raw"
jr_path = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/"
log_path = "./logs/"
[run]
log_time = true
log_io = true
dump_format = "SFB"
json = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_BY.json"
raw = "../3_deploy/modelzoo/deeplabv3plus/imodel/8/deeplabv3plus_BY.raw"
input = "./qtset/voc2012/2008_003124.jpg"
log_path = "./logs/"