54 lines
1.7 KiB
TOML
54 lines
1.7 KiB
TOML
[parse]
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net_name = "A2Net"
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framework = "onnx"
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inputs = [[ 1, 256, 256, 3],[ 1, 256, 256, 3]]
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inputs_layout = "NHWC;NHWC"
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pre_method = "nop;nop"
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pre_scale = [[ 58.395, 57.12, 57.375],[ 58.395, 57.12, 57.375]]
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pre_mean = [[ 123.675, 116.28, 103.53],[ 123.675, 116.28, 103.53]]
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channel_swap = [[0, 1, 2],[0, 1, 2]]
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network = "./fmodel/A2Net_256x256_traced.onnx"
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jr_path = "../3_deploy/modelzoo/A2Net/imodel/8/"
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[optimize]
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target = "BUYI"
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json = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_parsed.json"
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raw = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_parsed.raw"
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jr_path = "../3_deploy/modelzoo/A2Net/imodel/8/"
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[quantize]
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forward_mode = "image"
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saturation = "kld"
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forward_dir = "./qtset/A2Net/"
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forward_list = "./qtset/A2Net.txt"
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bits = 8
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json = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_optimized.json"
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raw = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_optimized.raw"
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jr_path = "../3_deploy/modelzoo/A2Net/imodel/8/"
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per = "tensor"
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target = "buyi"
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[adapt]
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target = "BUYI"
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json = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_quantized.json"
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raw = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_quantized.raw"
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jr_path = "../3_deploy/modelzoo/A2Net/imodel/8/"
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#pass_on = "customop.ImageMakePass"
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#custom_config = "config/customop/A2Net.toml"
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[generate]
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json = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_adapted.json"
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raw = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_adapted.raw"
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jr_path = "../3_deploy/modelzoo/A2Net/imodel/8/"
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log_path = "./logs/"
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ocmopt = 3
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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/A2Net/imodel/8/A2Net_BY.json"
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raw = "../3_deploy/modelzoo/A2Net/imodel/8/A2Net_BY.raw"
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input = "./qtset/A2Net/test_2_0000_0000_A.png;./qtset/A2Net/test_2_0000_0000_B.png"
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log_path = "./logs/"
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