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@@ -341,7 +341,7 @@ void model_init(){
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conv1_weight.name = "conv1_weight";
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conv1_weight.array = modelmym_init(conv1_weight.name);
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conv1_weight.maxlength = CONV1_WEIGHT_ARRSIZE;
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conv1_weight.layer = 1;
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conv1_weight.channel = 1;
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conv1_weight.num_kernels = 32;
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conv2_bias.name = "conv2_bias";
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@@ -351,7 +351,7 @@ void model_init(){
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conv2_weight.name = "conv2_weight";
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conv2_weight.array = modelmym_init(conv2_weight.name);
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conv2_weight.maxlength = CONV2_WEIGHT_ARRSIZE;
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conv2_weight.layer = 32;
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conv2_weight.channel = 32;
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conv2_weight.num_kernels = 64;
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conv3_bias.name = "conv3_bias";
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@@ -361,7 +361,7 @@ void model_init(){
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conv3_weight.name = "conv3_weight";
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conv3_weight.array = modelmym_init(conv3_weight.name);
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conv3_weight.maxlength = CONV3_WEIGHT_ARRSIZE;
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conv3_weight.layer = 64;
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conv3_weight.channel = 64;
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conv3_weight.num_kernels = 128;
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fc1_bias.name = "fc1_bias";
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