59 lines
1.9 KiB
TOML
59 lines
1.9 KiB
TOML
[parse]
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net_name = "PASSRnet"
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framework = "pytorch"
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inputs = [[ 1, 125, 178, 3],[ 1, 125, 178, 3]]
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inputs_layout = "NHWC;NHWC"
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pre_method = "nop;nop"
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#pre_scale = "nop;nop"
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#pre_mean = "nop;nop"
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pre_scale = [[ 255.0, 255.0, 255.0],[ 255.0, 255.0, 255.0]]
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pre_mean = [[ 0.0, 0.0, 0.0],[ 0.0, 0.0, 0.0]]
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channel_swap = [[0,1,2],[0,1,2]]
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network = "./fmodel/PASSRnet_traced_1x3x125x178.pt"
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jr_path = "../3_deploy/modelzoo/PASSRnet/imodel/8/"
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frame_version = "1.9"
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[optimize]
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target = "BUYI"
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json = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_parsed.json"
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raw = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_parsed.raw"
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jr_path = "../3_deploy/modelzoo/PASSRnet/imodel/8/"
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[quantize]
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forward_mode = "image"
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saturation = "null"
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forward_dir = "./qtset/PASSRnet/"
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forward_list = "./qtset/PASSRnet.txt"
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bits = 8
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json = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_optimized.json"
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raw = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_optimized.raw"
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jr_path = "../3_deploy/modelzoo/PASSRnet/imodel/8/"
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per = "tensor"
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target = "buyi"
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no_imagemake = true
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no_transinput = true
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[adapt]
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target = "BUYI"
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json = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_quantized.json"
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raw = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_quantized.raw"
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jr_path = "../3_deploy/modelzoo/PASSRnet/imodel/8/"
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#pass_on = "customop.ImageMakePass"
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#custom_config = "config/customop/PASSRnet.toml"
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[generate]
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json = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_adapted.json"
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raw = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_adapted.raw"
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jr_path = "../3_deploy/modelzoo/PASSRnet/imodel/8/"
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log_path = "./logs/"
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[run]
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log_time = true
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log_io = true
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dump_format = "SFB"
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json = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_BY.json"
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raw = "../3_deploy/modelzoo/PASSRnet/imodel/8/PASSRnet_BY.raw"
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input = "./qtset/PASSRnet/lr0.png;./qtset/PASSRnet/lr1.png"
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log_path = "./logs/"
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