60 lines
1.8 KiB
TOML
60 lines
1.8 KiB
TOML
[parse]
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net_name = "rfdn_160x240"
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framework = "pytorch"
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inputs = [ 1, 160, 240, 3]
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inputs_layout = "NHWC"
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pre_method = "nop"
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pre_scale = "nop"
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pre_mean = "nop"
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channel_swap = [0, 1, 2]
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network = "../2_compile/fmodel/rfdn_160x240.pt"
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jr_path = "../3_deploy/modelzoo/rfdn/imodel/16/"
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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/rfdn/imodel/16/rfdn_160x240_parsed.json"
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raw = "../3_deploy/modelzoo/rfdn/imodel/16/rfdn_160x240_parsed.raw"
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jr_path = "../3_deploy/modelzoo/rfdn/imodel/16/"
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# pass_off = "icraft.MergeConv2dBatchnormPass"
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pass_off = "icraft.MergeMultiply2Conv2dPass"
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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/sr"
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forward_list = "./qtset/sr.txt"
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bits = 16
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json = "../3_deploy/modelzoo/rfdn/imodel/16/rfdn_160x240_optimized.json"
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raw = "../3_deploy/modelzoo/rfdn/imodel/16/rfdn_160x240_optimized.raw"
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jr_path = "../3_deploy/modelzoo/rfdn/imodel/16/"
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per = "tensor"
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# per = "channel"
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target = "buyi"
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no_transinput = true
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# mix_precision = "auto"
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[adapt]
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target = "BUYI"
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json = "../3_deploy/modelzoo/rfdn/imodel/16/rfdn_160x240_quantized.json"
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raw = "../3_deploy/modelzoo/rfdn/imodel/16/rfdn_160x240_quantized.raw"
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jr_path = "../3_deploy/modelzoo/rfdn/imodel/16/"
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pass_on = "customop.ImageMakePass"
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custom_config = "config/customop/rfdn.toml"
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[generate]
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json = "../3_deploy/modelzoo/rfdn/imodel/16/rfdn_160x240_adapted.json"
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raw = "../3_deploy/modelzoo/rfdn/imodel/16/rfdn_160x240_adapted.raw"
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jr_path = "../3_deploy/modelzoo/rfdn/imodel/16/"
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log_path = "./logs/"
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# ocmopt = "0"
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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/rfdn/imodel/16/rfdn_160x240_BY.json"
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raw = "../3_deploy/modelzoo/rfdn/imodel/16/rfdn_160x240_BY.raw"
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input = "./qtset/sr/3096x2.png"
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log_path = "./logs/"
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