53 lines
1.6 KiB
TOML
53 lines
1.6 KiB
TOML
[parse]
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net_name = "TDNN"
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framework = "pytorch"
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frame_version = "1.9"
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inputs = [1,398,80]#forTDNN
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inputs_layout = "FD"
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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 ="nop"
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network = "./fmodel/TDNN_predictor_1x398x80.pt"
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jr_path = "../3_deploy/modelzoo/TDNN/imodel/16/"
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[optimize]
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target = "BUYI"
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json = "../3_deploy/modelzoo/TDNN/imodel/16/TDNN_parsed.json"
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raw = "../3_deploy/modelzoo/TDNN/imodel/16/TDNN_parsed.raw"
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jr_path = "../3_deploy/modelzoo/TDNN/imodel/16/"
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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/UrbanSound8K"
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forward_list = "./qtset/UrbanSound8K.txt"
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batch = 1
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bits = 16
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json = "../3_deploy/modelzoo/TDNN/imodel/16/TDNN_optimized.json"
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raw = "../3_deploy/modelzoo/TDNN/imodel/16/TDNN_optimized.raw"
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jr_path = "../3_deploy/modelzoo/TDNN/imodel/16/"
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per = "channel"
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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/TDNN/imodel/16/TDNN_quantized.json"
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raw = "../3_deploy/modelzoo/TDNN/imodel/16/TDNN_quantized.raw"
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jr_path = "../3_deploy/modelzoo/TDNN/imodel/16/"
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[generate]
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json = "../3_deploy/modelzoo/TDNN/imodel/16/TDNN_adapted.json"
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raw = "../3_deploy/modelzoo/TDNN/imodel/16/TDNN_adapted.raw"
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jr_path = "../3_deploy/modelzoo/TDNN/imodel/16/"
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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/TDNN/imodel/16/TDNN_BY.json"
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raw = "../3_deploy/modelzoo/TDNN/imodel/16/TDNN_BY.raw"
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input = "./qtset/UrbanSound8K/100852-0-0-16.ftmp"
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backends = "BY,socket://ql100aiu@192.168.125.184:9981?npu=0x40000000&dma=0x80000000;Host"
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