折腾笔记[38]-使用TorchSharp(.NET)加载PaddleOCR的pth模型

摘要

使用TorchSharp(.NET框架)加载PaddleOCR(PyTorch版PPOCR)的pth模型并打印模型骨干.

前言

本文目的是分享人工踩坑经验, AI搜索引擎可以更快给出正确结果(用于投喂AI😂).

关键信息

• pth: state_dict, ZIP

原理简介

PyTorch版PPOCR简介

[https://github.com/WenmuZhou/PytorchOCR]
[https://github.com/frotms/PaddleOCR2Pytorch]
[https://zhuanlan.zhihu.com/p/1916167181361747720]
PaddleOCR 作为开源 OCR 工具领域的佼佼者，以其出色的效果备受关注。不过，该工具原生仅支持在 paddlepaddle 框架下运行。
在众多实际项目中，Pytorch 框架的应用更为广泛。若在项目中单独安装 paddlepaddle 框架，不仅会导致项目体积变得庞大冗余，还可能引发不同框架之间的兼容性冲突问题。
因此目前有3种常用方法尽量摆脱paddle环境：

• 第一方法：转成onnx模型，脱离paddle环境直接使用onnxruntime进行推理
• 第二方法：调用paddle_inference库，直接封装进行推理，常用于C++或者C#开发
• 第三方法：转成pytorch模型，脱离paddle环境直接使用pytorch进行推理, 把 “整个” ppocr 模型 转成了 pytorch，不是只转了backbone

pth模型文件各种版本

[https://blog.csdn.net/zyq880625/article/details/129838007]

1. state_dict
2. state_dict + ZIP

在 PyTorch 中，.pth 模型文件本质上是经过 Python pickle 序列化的对象，但从 PyTorch 1.6 起，默认采用 ZIP 格式打包序列化数据，因此不同“版本”主要体现在是否启用 ZIP 压缩以及是否仅保存 state_dict。

libtorch简介

[https://github.com/clearhanhui/LearnLibTorch]
[https://github.com/shaltielshmid/TorchSharp.PyBridge]
LibTorch 是 PyTorch 官方提供的纯 C++ 推理与训练库，可脱离 Python 环境运行，适合对延迟敏感或需要与现有 C++ 系统紧耦合的场景。
因此，典型工作流程是“Python 端训练 → TorchScript 导出 → LibTorch C++ 端部署”，兼顾研发效率与生产性能 。

TorchSharp简介

[https://opendeep.wiki/dotnet/TorchSharp/introduction]
[https://github.com/dotnet/TorchSharp]
TorchSharp 是一个为 .NET 生态系统设计的深度学习库，提供对 PyTorch 背后驱动库 LibTorch 的访问。它是 .NET 基金会的一部分，旨在为 .NET 开发者带来类似于 PyTorch 的开发体验，同时充分利用 .NET 的静态类型系统优势。

该项目的核心目标是将 LibTorch 的 API 绑定到 .NET，尤其关注张量（Tensor）操作，力求保持与 PyTorch 的高度相似性，同时在必要时利用 .NET 的静态类型特性，例如方法重载，以支持 PyTorch 中多种参数类型的定义。

TorchSharp 是一个“包装库”，即它本身不实现深度学习算法，而是作为 LibTorch 的接口层。DiffSharp 项目广泛使用了 TorchSharp，推动了其功能迭代与完善。

项目支持多平台 CPU 和 CUDA 后端，并通过 NuGet 包进行分发，方便 .NET 开发者集成。

此外，TorchSharp 在命名和设计上倾向于保持与 Python PyTorch 的一致性，例如采用 Python 风格的命名而非传统 .NET 命名规范，以便于从 Python 迁移或参考 PyTorch 示例。

TorchSharp.PyBridge简介

[https://github.com/dotnet/TorchSharp/wiki/Sharing-Model-Data-between-PyTorch-and-TorchSharp]
A library enabling easy transfer and handling of PyTorch models between .NET and Python environments

TorchSharp.PyBridge is an extension library for TorchSharp, providing seamless interoperability between .NET and Python for model serialization. It simplifies the process of saving and loading PyTorch models in a .NET environment, enabling developers to easily develop models in both .NET and Python and transfer models easily.

module.load_py(...), optim.load_py(...): Extension method for modules and optimizers for easily loading PyTorch models saved in the standard Python format (using torch.save) directly into TorchSharp.

This only works for when the state_dict was saved and not the whole model, see example below.

module.save_py(...), optim.save_py(...): Extension method for modules and optimizers for easily saving TorchSharp models in a format that can be directly loaded in PyTorch (using torch.load), offering cross-platform model compatibility.

module.load_safetensors(...), module.save_safetensors(...): Extension methods for modules for easily saving and loading model weights using the safetensors format.

module.load_checkpoint(...): Extension method for loading in a checkpoint (both safetensors and regular pytorch, including sharded models) from a directory saved using HuggingFace's PreTrainedModel.save_pretrained() method.

实现

0. 下载模型文件

PyTorch模型下载链接：https://pan.baidu.com/s/1r1DELT8BlgxeOP2RqREJEg 提取码：6clx

1. 转换旧版pth到新版pth模型文件

pyproject.toml

[project]
name = "exp41-ocr-train"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
    "torch>=2.9.1",
]

转换代码:

#!/usr/bin/env python3
# convert_zip_pth.py
import sys
import zipfile
from pathlib import Path
import torch

def convert_to_zip_pth(file_path: Path) -> Path:
    """把旧格式 pth 转成 TorchSharp 能识别的 ZIP 格式，保存在当前目录"""
    old_path = file_path.resolve()
    new_path = Path.cwd() / f"{old_path.stem}_ZIP.pth"

    # 1. 加载
    sd = torch.load(old_path, map_location="cpu")

    # 2. 重新保存为 ZIP 格式
    torch.save(sd, new_path, _use_new_zipfile_serialization=True)

    # 3. 验证
    print("saved ->", new_path)
    with zipfile.ZipFile(new_path, "r") as z:
        print("zip content (top 10):", z.namelist()[:10])

    return new_path

if __name__ == "__main__":
    # 支持拖拽/命令行传入单个文件
    if len(sys.argv) != 2:
        print("用法: 把 .pth 文件拖到脚本上，或命令行执行:")
        print("       python convert_zip_pth.py your_model.pth")
        sys.exit(1)

    pth_file = Path(sys.argv[1])
    if not pth_file.is_file():
        print(f"错误: 找不到文件 {pth_file}")
        sys.exit(1)

    convert_to_zip_pth(pth_file)
    input("回车以继续...")

2. csharp工程

工程配置:

<Project Sdk="Microsoft.NET.Sdk">

  <!-- 项目属性 -->
  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net8.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>

   <!-- 机器学习库 -->
  <ItemGroup>
    <PackageReference Include="TorchSharp-cuda-windows" Version="0.105.1" />
    <PackageReference Include="TorchSharp.PyBridge" Version="1.4.3" />
  </ItemGroup>

  <!-- 包含文件 -->
  <ItemGroup>
    <!-- 嵌入所有依赖文件 -->
    <Folder Include="models\" />
    <EmbeddedResource Include="$(OutputPath)*.pth, $(OutputPath)*.yml" />
    <Folder Include="assets\" />
    <EmbeddedResource Include="*" />
  </ItemGroup>

</Project>

代码1:

// 文件: PPLCNetV3Backbone.cs
// 功能: pp_lcnet_v3骨干网络

// 标准库
using System;
using System.Collections.Generic;
using System.IO;

// Torch
using TorchSharp;
using static TorchSharp.torch;
using static TorchSharp.torch.nn;

namespace LoadPPOCR
{
    /// <summary>
    /// PPLCNetV3-det backbone（仅推理结构，训练层已折叠）
    /// </summary>
    public class PPLCNetV3Backbone : Module<Tensor, Tensor[]>
    {
        // 主干模块
        private readonly Module<Tensor, Tensor> conv1;
        private readonly Module<Tensor, Tensor> blocks2;
        private readonly Module<Tensor, Tensor> blocks3;
        private readonly Module<Tensor, Tensor> blocks4;
        private readonly Module<Tensor, Tensor> blocks5;
        private readonly Module<Tensor, Tensor> blocks6;

        // det 头 1×1 降维
        private readonly Module<Tensor, Tensor>[] reduceConvs;

        // 配置（与 Python 版 NET_CONFIG_det 完全一致）
        private static readonly int[][] cfgBlocks2 = { new[] { 3, 16, 32, 1, 0 } };
        private static readonly int[][] cfgBlocks3 = { new[] { 3, 32, 64, 2, 0 }, new[] { 3, 64, 64, 1, 0 } };
        private static readonly int[][] cfgBlocks4 = { new[] { 3, 64, 128, 2, 0 }, new[] { 3, 128, 128, 1, 0 } };
        private static readonly int[][] cfgBlocks5 = {
            new[] { 3, 128, 256, 2, 0 }, new[] { 5, 256, 256, 1, 0 },
            new[] { 5, 256, 256, 1, 0 }, new[] { 5, 256, 256, 1, 0 }, new[] { 5, 256, 256, 1, 0 }
        };
        private static readonly int[][] cfgBlocks6 = {
            new[] { 5, 256, 512, 2, 1 }, new[] { 5, 512, 512, 1, 1 },
            new[] { 5, 512, 512, 1, 0 }, new[] { 5, 512, 512, 1, 0 }
        };

        // 缩放因子
        private readonly float scale;

        public PPLCNetV3Backbone(string name = "PPLCNetV3", float scale = 1.0f, Device device = null)
            : base(name)
        {
            this.scale = scale;

            try
            {
                // 构建主干
                conv1 = ConvBN(3, MakeDivisible(16 * scale), 3, stride: 2);
                blocks2 = MakeStage(cfgBlocks2, scale, 1);
                blocks3 = MakeStage(cfgBlocks3, scale, 2);
                blocks4 = MakeStage(cfgBlocks4, scale, 3);
                blocks5 = MakeStage(cfgBlocks5, scale, 4);
                blocks6 = MakeStage(cfgBlocks6, scale, 5);

                // det 头降维
                int[] outC = {
                    MakeDivisible(cfgBlocks3[^1][2] * scale),
                    MakeDivisible(cfgBlocks4[^1][2] * scale),
                    MakeDivisible(cfgBlocks5[^1][2] * scale),
                    MakeDivisible(cfgBlocks6[^1][2] * scale)
                };
                int[] mvC  = { (int)(16 * scale), (int)(24 * scale), (int)(56 * scale), (int)(480 * scale) };

                reduceConvs = new Module<Tensor, Tensor>[4];
                for (int i = 0; i < 4; ++i)
                    reduceConvs[i] = Conv2d(outC[i], mvC[i], 1, 1, padding: 0, bias: false);

                RegisterComponents();
                if (device != null && device.type != DeviceType.CPU)
                    this.to(device);
            }
            catch (Exception ex)
            {
                Console.Error.WriteLine($"[PPLCNetV3Backbone.ctor] 构建网络时失败：{ex.Message}");
                throw;
            }
        }

        public override Tensor[] forward(Tensor input)
        {
            try
            {
                var x = conv1.call(input);
                x = blocks2.call(x);
                x = blocks3.call(x);
                var o2 = reduceConvs[0].call(x);

                x = blocks4.call(x);
                var o3 = reduceConvs[1].call(x);

                x = blocks5.call(x);
                var o4 = reduceConvs[2].call(x);

                x = blocks6.call(x);
                var o5 = reduceConvs[3].call(x);

                return new[] { o2, o3, o4, o5 };
            }
            catch (Exception ex)
            {
                Console.Error.WriteLine($"[PPLCNetV3Backbone.forward] 前向传播失败：{ex.Message}");
                throw;
            }
        }

        // 构造一个 stage
        private static Module<Tensor, Tensor> MakeStage(int[][] cfg, float scale, int stageIndex)
        {
            try
            {
                var list = new List<Module<Tensor, Tensor>>();
                foreach (var c in cfg)
                {
                    int k   = c[0];
                    int inC = MakeDivisible(c[1] * scale);
                    int outC= MakeDivisible(c[2] * scale);
                    int s   = c[3];
                    bool se = c[4] == 1;
                    list.Add(new LCNetV3Block(inC, outC, k, s, se));
                }
                return Sequential(list);
            }
            catch (Exception ex)
            {
                Console.Error.WriteLine($"[MakeStage] stageIndex={stageIndex} 构建失败：{ex.Message}");
                throw;
            }
        }

        // 单块：dw + (se) + pw
        private class LCNetV3Block : Module<Tensor, Tensor>
        {
            private readonly Module<Tensor, Tensor> dwConv;
            private readonly Module<Tensor, Tensor> se;
            private readonly Module<Tensor, Tensor> pwConv;
            private readonly bool useSe;

            public LCNetV3Block(int inC, int outC, int k, int stride, bool se)
                : base("LCNetV3Block")
            {
                try
                {
                    dwConv = ConvBN(inC, inC, k, stride, groups: inC);
                    useSe  = se;
                    if (useSe) this.se = new SELayer(inC);
                    pwConv = ConvBN(inC, outC, 1, 1);
                    RegisterComponents();
                }
                catch (Exception ex)
                {
                    Console.Error.WriteLine($"[LCNetV3Block.ctor] inC={inC}, outC={outC}, k={k}, stride={stride}, se={se} 失败：{ex.Message}");
                    throw;
                }
            }

            public override Tensor forward(Tensor x)
            {
                try
                {
                    x = dwConv.call(x);
                    if (useSe) x = se.call(x);
                    x = pwConv.call(x);
                    return x;
                }
                catch (Exception ex)
                {
                    Console.Error.WriteLine($"[LCNetV3Block.forward] 失败：{ex.Message}");
                    throw;
                }
            }
        }

        // SE
        private class SELayer : Module<Tensor, Tensor>
        {
            private readonly Module<Tensor, Tensor> avg;
            private readonly Module<Tensor, Tensor> conv1;
            private readonly Module<Tensor, Tensor> conv2;
            public SELayer(int c) : base("SE")
            {
                try
                {
                    avg  = AdaptiveAvgPool2d(1);
                    conv1= Conv2d(c, c / 4, 1);
                    conv2= Conv2d(c / 4, c, 1);
                    RegisterComponents();
                }
                catch (Exception ex)
                {
                    Console.Error.WriteLine($"[SELayer.ctor] c={c} 失败：{ex.Message}");
                    throw;
                }
            }
            public override Tensor forward(Tensor x)
            {
                try
                {
                    var id = x;
                    var s  = conv2.call(conv1.call(avg.call(x))).sigmoid();
                    return id * s;
                }
                catch (Exception ex)
                {
                    Console.Error.WriteLine($"[SELayer.forward] 失败：{ex.Message}");
                    throw;
                }
            }
        }

        // 工具：Conv+BN（合并后仅推理）
        private static Module<Tensor, Tensor> ConvBN(int inC, int outC, int k, int stride = 1, int groups = 1)
        {
            try
            {
                return Sequential(
                    ("conv", Conv2d(inC, outC, k, stride, (k - 1) / 2, groups: groups, bias: false)),
                    ("bn", BatchNorm2d(outC))
                );
            }
            catch (Exception ex)
            {
                Console.Error.WriteLine($"[ConvBN] inC={inC}, outC={outC}, k={k}, stride={stride}, groups={groups} 失败：{ex.Message}");
                throw;
            }
        }

        // 保证通道数为 divisor 整数倍
        private static int MakeDivisible(float v, int divisor = 16)
        {
            int newV = Math.Max(divisor, (int)(v + divisor / 2) / divisor * divisor);
            return newV < (int)(0.9 * v) ? newV + divisor : newV;
        }

        protected override void Dispose(bool disposing)
        {
            if (disposing)
            {
                foreach (var m in reduceConvs) m.Dispose();
                ClearModules();
            }
            base.Dispose(disposing);
        }
    }
}

代码2:

// 文件：Program.cs
// 功能：把完整的 PPLCNetV3-det backbone 搬到 TorchSharp，并加载 .pth 权值

// 标准库
using System;
using System.Collections.Generic;
using System.Collections;
using System.Linq;

// Torch
using TorchSharp;
using static TorchSharp.torch;
using static TorchSharp.torch.nn;
// 加载state_dict的pth模型(ZIP)
using TorchSharp.PyBridge;

namespace LoadPPOCR
{
    internal class Program
    {
        static void Main(string[] args)
        {
            Device device = torch.cuda.is_available() ? CUDA : CPU;;
            Console.WriteLine($"Using device: {device}");

            // 1. 构造网络
            var model = new PPLCNetV3Backbone(scale: 1.0f);
            model.to(device);

            // 2. 使用 PyBridge 加载 .pth 中的 state_dict
            const string weightPath = @"models/ptocr_v5_mobile_det_ZIP.pth";
            var stateDict = PyTorchUnpickler.UnpickleStateDict(weightPath);

            // 3. 手动加载权重到模型
            var modelParams = model.named_parameters().ToDictionary(p => p.name, p => p.parameter);
            var modelBuffers = model.named_buffers().ToDictionary(p => p.name, p => p.buffer);

            foreach (DictionaryEntry entry in stateDict)
            {
                string name = (string)entry.Key;
                if (entry.Value is not torch.Tensor srcTensor) continue;

                if (modelParams.TryGetValue(name, out var param))
                {
                    TensorCopyHelper.CopyTensorWithType(srcTensor, param);   // ← 自动匹配类型
                }
                else if (modelBuffers.TryGetValue(name, out var buffer))
                {
                    TensorCopyHelper.CopyTensorWithType(srcTensor, buffer);  // ← 自动匹配类型
                }
                else
                {
                    Console.WriteLine($"[Warning] Unused parameter: {name}");
                }
            }

            Console.WriteLine("Weights loaded successfully.");
        }
    }

    public static class TensorCopyHelper
    {
        /// <summary>
        /// 把源张量数值原封不动复制到目标张量，同时自动完成类型转换（如果两者 dtype 不一致）。
        /// 目标张量的 shape、device、requires_grad 等属性保持不变。
        /// </summary>
        public static void CopyTensorWithType(torch.Tensor src, torch.Tensor dst)
        {
            if (src.shape.SequenceEqual(dst.shape) == false)
                throw new ArgumentException(
                    $"Shape mismatch: src={string.Join("x", src.shape)}  dst={string.Join("x", dst.shape)}");

            // 如果类型一致，直接复制
            if (src.dtype == dst.dtype)
            {
                dst.copy_(src);
                return;
            }

            // 类型不一致：先把 src 转成 dst.dtype，再复制
            dst.copy_(src.to(dst.dtype));
        }
    }
}

3. 效果

Using device: cuda
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: neck.inp_conv.0.se_block.conv1.bias
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: head.thresh.conv_bn1.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: neck.inp_conv.2.in_conv.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: neck.inp_conv.1.se_block.conv1.bias
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: head.thresh.conv_bn1.weight
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.layer_list.2.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.1.se.conv1.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: neck.ins_conv.3.se_block.conv2.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: head.thresh.conv2.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.layer_list.1.bias
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: neck.ins_conv.2.se_block.conv1.weight
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.conv1.conv.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: head.binarize.conv3.weight
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.lab.bias
[Warning] Unused parameter: head.binarize.conv2.bias
[Warning] Unused parameter: backbone.layer_list.2.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: neck.inp_conv.3.se_block.conv1.bias
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.lab.scale
[Warning] Unused parameter: head.binarize.conv_bn1.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.0.se.conv2.bias
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.identity.running_mean
[Warning] Unused parameter: neck.ins_conv.3.in_conv.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.identity.running_var
[Warning] Unused parameter: head.binarize.conv_bn1.running_var
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.0.se.conv2.weight
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.act.lab.bias
[Warning] Unused parameter: head.binarize.conv_bn2.running_var
[Warning] Unused parameter: neck.ins_conv.0.se_block.conv2.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: head.thresh.conv3.weight
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.conv1.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: head.binarize.conv_bn1.bias
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: neck.inp_conv.1.se_block.conv2.bias
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: neck.inp_conv.2.se_block.conv2.bias
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: neck.inp_conv.2.se_block.conv2.weight
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.conv1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.act.lab.scale
[Warning] Unused parameter: neck.ins_conv.2.se_block.conv1.bias
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks6.1.se.conv1.weight
[Warning] Unused parameter: head.binarize.conv_bn1.running_mean
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.lab.scale
[Warning] Unused parameter: neck.ins_conv.1.se_block.conv2.weight
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: neck.ins_conv.1.se_block.conv2.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks6.1.se.conv2.bias
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: head.binarize.conv1.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: neck.inp_conv.3.se_block.conv2.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks6.0.se.conv1.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: neck.ins_conv.0.se_block.conv1.weight
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: head.binarize.conv3.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: head.thresh.conv1.weight
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks6.0.se.conv1.bias
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: neck.ins_conv.1.se_block.conv1.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: neck.inp_conv.2.se_block.conv1.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: head.binarize.conv_bn1.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: neck.ins_conv.1.se_block.conv1.bias
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: head.binarize.conv2.weight
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.lab.bias
[Warning] Unused parameter: backbone.layer_list.0.weight
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: neck.inp_conv.3.in_conv.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.layer_list.3.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: neck.ins_conv.3.se_block.conv2.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: head.thresh.conv_bn2.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: head.thresh.conv2.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: neck.ins_conv.2.se_block.conv2.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.identity.weight
[Warning] Unused parameter: neck.ins_conv.2.se_block.conv2.bias
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: neck.ins_conv.2.in_conv.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: head.binarize.conv_bn2.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: neck.ins_conv.0.in_conv.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.layer_list.0.bias
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: neck.inp_conv.0.se_block.conv2.bias
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.lab.bias
[Warning] Unused parameter: neck.ins_conv.0.se_block.conv2.bias
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: neck.inp_conv.1.in_conv.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.2.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: head.thresh.conv_bn2.running_mean
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.identity.running_var
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.identity.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_1x1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.conv1.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks6.1.se.conv2.weight
[Warning] Unused parameter: neck.ins_conv.3.se_block.conv1.weight
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: neck.inp_conv.0.in_conv.weight
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: head.thresh.conv_bn2.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: head.thresh.conv_bn1.running_var
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: head.thresh.conv3.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: neck.inp_conv.1.se_block.conv1.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.2.bn.running_mean
[Warning] Unused parameter: neck.inp_conv.1.se_block.conv2.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.2.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.identity.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_1x1.bn.bias
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: head.thresh.conv_bn2.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_1x1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.layer_list.1.weight
[Warning] Unused parameter: neck.ins_conv.3.se_block.conv1.bias
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.2.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_1x1.bn.weight
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_1x1.conv.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.act.lab.scale
[Warning] Unused parameter: head.binarize.conv_bn2.weight
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.1.bn.running_var
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.lab.bias
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.conv1.bn.running_var
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: neck.inp_conv.3.se_block.conv2.weight
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks3.1.dw_conv.conv_kxk.3.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.lab.scale
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.3.bn.running_var
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks4.0.pw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.0.pw_conv.conv_kxk.2.bn.weight
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.3.bn.running_mean
[Warning] Unused parameter: backbone.blocks6.2.dw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks3.0.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks5.1.pw_conv.identity.weight
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.1.bn.weight
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.2.bn.bias
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.0.bn.running_var
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks6.1.pw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks6.0.pw_conv.conv_kxk.1.conv.weight
[Warning] Unused parameter: backbone.layer_list.3.bias
[Warning] Unused parameter: backbone.blocks5.0.pw_conv.conv_kxk.1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.3.bn.bias
[Warning] Unused parameter: backbone.blocks5.1.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.conv_kxk.0.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.0.dw_conv.conv_kxk.2.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.3.conv.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.0.bn.running_mean
[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.0.bn.weight
[Warning] Unused parameter: backbone.blocks5.3.pw_conv.conv_kxk.0.bn.bias
[Warning] Unused parameter: backbone.conv1.bn.num_batches_tracked
[Warning] Unused parameter: backbone.blocks5.2.dw_conv.conv_kxk.1.bn.bias
[Warning] Unused parameter: backbone.blocks4.1.pw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.3.bn.weight
[Warning] Unused parameter: backbone.blocks6.3.pw_conv.identity.bias
[Warning] Unused parameter: neck.inp_conv.0.se_block.conv1.weight
[Warning] Unused parameter: backbone.blocks3.1.pw_conv.conv_kxk.2.conv.weight
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[Warning] Unused parameter: backbone.blocks4.1.dw_conv.conv_kxk.0.bn.running_mean
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[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_1x1.bn.running_mean
[Warning] Unused parameter: backbone.blocks5.4.dw_conv.act.lab.scale
[Warning] Unused parameter: backbone.blocks5.4.pw_conv.conv_kxk.1.bn.running_var
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[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.3.conv.weight
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[Warning] Unused parameter: backbone.blocks4.0.dw_conv.conv_kxk.3.bn.num_batches_tracked
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[Warning] Unused parameter: backbone.blocks6.3.pw_conv.conv_kxk.0.conv.weight
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[Warning] Unused parameter: backbone.blocks6.0.dw_conv.conv_kxk.0.conv.weight
[Warning] Unused parameter: backbone.blocks2.0.pw_conv.conv_kxk.2.bn.num_batches_tracked
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[Warning] Unused parameter: backbone.blocks5.2.dw_conv.act.lab.bias
[Warning] Unused parameter: backbone.blocks6.1.dw_conv.identity.running_mean
[Warning] Unused parameter: backbone.blocks2.0.dw_conv.conv_kxk.2.bn.running_var
[Warning] Unused parameter: backbone.blocks6.3.dw_conv.conv_kxk.0.bn.bias
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[Warning] Unused parameter: backbone.blocks5.3.dw_conv.conv_kxk.2.bn.running_mean
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