mdz/pytorch/esanet/2_compile/config/esanet_16.toml

56 lines
1.8 KiB
TOML

[parse]
net_name = "esanet"
framework = "onnx"
inputs = [[1,480,640,3],[1,480,640,1]]
inputs_layout = 'NHWC;NHWC'
pre_method = 'nop;nop'
pre_mean = 'nop;nop'
pre_scale = 'nop;nop'
channel_swap = 'nop;nop'
network = "./fmodel/esanet_480x640_sunrgbd.onnx"
jr_path = "../3_deploy/modelzoo/esanet/imodel/16/"
[optimize]
target = "BUYI"
json = "../3_deploy/modelzoo/esanet/imodel/16/esanet_parsed.json"
raw = "../3_deploy/modelzoo/esanet/imodel/16/esanet_parsed.raw"
jr_path = "../3_deploy/modelzoo/esanet/imodel/16/"
[quantize]
# forward_mode = "image"
saturation = "kld"
forward_dir = "./qtset/sample"
forward_list = "./qtset/sample.txt"
bits = 16
json = "../3_deploy/modelzoo/esanet/imodel/16/esanet_optimized.json"
raw = "../3_deploy/modelzoo/esanet/imodel/16/esanet_optimized.raw"
jr_path = "../3_deploy/modelzoo/esanet/imodel/16/"
per = "channel"
target = "buyi"
no_transinput = true
[adapt]
target = "BUYI"
json = "../3_deploy/modelzoo/esanet/imodel/16/esanet_quantized.json"
raw = "../3_deploy/modelzoo/esanet/imodel/16/esanet_quantized.raw"
jr_path = "../3_deploy/modelzoo/esanet/imodel/16/"
# pass_on = "customop.ImageMakePass"
# custom_config = "config/customop/model.toml"
[generate]
json = "../3_deploy/modelzoo/esanet/imodel/16/esanet_adapted.json"
raw = "../3_deploy/modelzoo/esanet/imodel/16/esanet_adapted.raw"
jr_path = "../3_deploy/modelzoo/esanet/imodel/16/"
log_path = "./logs/"
ocmopt = 0
# no_mergeops = true
[run]
log_time = true
log_io = true
json = "../3_deploy/modelzoo/esanet/imodel/16/esanet_BY.json"
raw = "../3_deploy/modelzoo/esanet/imodel/16/esanet_BY.raw"
input = "./qtset/sample/sample_rgb.png;./qtset/sample/sample_depth.ftmp"
log_path = "./logs/"
backends = "BY,socket://ql100aiu@192.168.125.182:9981?npu=0x40000000&dma=0x80000000;Host"