mdz/pytorch/MMPSPNet/2_compile/config/MMPSPNet_8.toml

55 lines
1.8 KiB
TOML

[parse]
net_name = "MMPSPNet"
framework = "pytorch"
inputs = [ 1, 1024, 2048, 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/mmpspnet_traced_1024x2048.pt"
jr_path = "../3_deploy/modelzoo/MMPSPNet/imodel/8/"
frame_version = "1.9"
[optimize]
target = "BUYI"
json = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_parsed.json"
raw = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_parsed.raw"
jr_path = "../3_deploy/modelzoo/MMPSPNet/imodel/8/"
[quantize]
forward_mode = "image"
saturation = "kld"
forward_dir = "./qtset/cityscapes"
forward_list = "./qtset/cityscapes.txt"
bits = 8
json = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_optimized.json"
raw = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_optimized.raw"
jr_path = "../3_deploy/modelzoo/MMPSPNet/imodel/8/"
per = "tensor"
target = "buyi"
[adapt]
target = "BUYI"
json = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_quantized.json"
raw = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_quantized.raw"
jr_path = "../3_deploy/modelzoo/MMPSPNet/imodel/8/"
pass_on = "customop.ImageMakePass"
custom_config = "config/customop/MMPSPNet.toml"
[generate]
json = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_adapted.json"
raw = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_adapted.raw"
jr_path = "../3_deploy/modelzoo/MMPSPNet/imodel/8/"
log_path = "./logs/"
ocmopt = 0
[run]
log_time = true
log_io = true
dump_format = "SFB"
json = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_BY.json"
raw = "../3_deploy/modelzoo/MMPSPNet/imodel/8/MMPSPNet_BY.raw"
input = "./qtset/cityscapes/frankfurt_000000_000294_leftImg8bit.png"
log_path = "./logs/"