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      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.0.normalization.weight",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.1.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.1.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.1.normalization.weight",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.2.convolution.weight",
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      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.2.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.2.normalization.weight",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.3.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.3.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.conv_symmetric.3.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.identity.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.identity.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.identity.running_var",
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      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.identity.weight",
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      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.lab.bias",
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      "source": "model.backbone.encoder.blocks.0.layers.0.depthwise_convolution.lab.scale",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.act.lab.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.act.lab.scale",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.0.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.0.normalization.bias",
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      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.0.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.1.convolution.weight",
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      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.1.normalization.bias",
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      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.1.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.2.convolution.weight",
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      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.2.normalization.bias",
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      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.2.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.3.convolution.weight",
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      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.conv_symmetric.3.normalization.bias",
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      "source": "model.backbone.encoder.blocks.0.layers.0.pointwise_convolution.lab.bias",
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      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.act.lab.bias",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_small_symmetric.convolution.weight",
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      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_small_symmetric.normalization.bias",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.0.convolution.weight",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.1.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.1.normalization.bias",
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      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
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      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.1.normalization.weight",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.2.convolution.weight",
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      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.2.normalization.bias",
      "target": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.2.normalization.bias"
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.2.normalization.weight",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.3.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.identity.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.identity.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.identity.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.depthwise_convolution.lab.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.act.lab.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.act.lab.scale",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.0.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.0.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.1.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.1.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.1.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.2.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.2.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "source": "model.backbone.encoder.blocks.1.layers.0.pointwise_convolution.lab.bias",
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      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.act.lab.bias",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_small_symmetric.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_small_symmetric.normalization.bias",
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      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_small_symmetric.normalization.weight",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.0.convolution.weight",
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      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.0.normalization.bias",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.1.normalization.bias",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.2.convolution.weight",
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      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.2.normalization.weight",
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.3.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.3.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.3.normalization.weight",
      "target": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.conv_symmetric.3.normalization.weight"
    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.identity.bias",
      "target": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.identity.bias"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.identity.running_mean",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.identity.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.identity.weight",
      "target": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.identity.weight"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.lab.bias",
      "target": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.lab.bias"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.1.layers.1.depthwise_convolution.lab.scale"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.0.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.1.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.identity.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.identity.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.identity.weight",
      "target": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.identity.weight"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.1.layers.1.pointwise_convolution.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.act.lab.scale",
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    {
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        1,
        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_small_symmetric.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_small_symmetric.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_small_symmetric.normalization.running_mean",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_small_symmetric.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_small_symmetric.normalization.weight",
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    {
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        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.0.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        3,
        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.1.normalization.weight",
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    {
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        3,
        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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        64
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        3,
        3
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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        64
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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    {
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        64
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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        64
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.lab.bias",
      "target": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.lab.bias"
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    {
      "expected_shape": [
        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.2.layers.0.depthwise_convolution.lab.scale"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.act.lab.bias",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.act.lab.bias"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.act.lab.scale",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.act.lab.scale"
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    {
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        1,
        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.convolution.weight"
    },
    {
      "expected_shape": [
        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.normalization.bias"
    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_mean"
    },
    {
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        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_var"
    },
    {
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        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.0.normalization.weight"
    },
    {
      "expected_shape": [
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        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.convolution.weight"
    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.normalization.bias",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_mean"
    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_var"
    },
    {
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        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.1.normalization.weight"
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    {
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        1,
        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.2.convolution.weight",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.2.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.2.normalization.bias"
    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    },
    {
      "expected_shape": [
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        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.conv_symmetric.3.normalization.weight"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.lab.bias",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.lab.bias"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.2.layers.0.pointwise_convolution.lab.scale"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.act.lab.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.act.lab.bias"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.act.lab.scale",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.act.lab.scale"
    },
    {
      "expected_shape": [
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        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.convolution.weight"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.normalization.running_mean"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.normalization.running_var"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_small_symmetric.normalization.weight"
    },
    {
      "expected_shape": [
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        3,
        3
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.0.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.0.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.0.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.0.normalization.bias"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.0.normalization.running_mean",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.0.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.0.normalization.running_var"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.0.normalization.weight",
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    {
      "expected_shape": [
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        3,
        3
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.1.convolution.weight",
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    },
    {
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.1.normalization.weight",
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    {
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        3,
        3
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.2.convolution.weight",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.2.normalization.bias",
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    },
    {
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    },
    {
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        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.2.normalization.weight",
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    {
      "expected_shape": [
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        3,
        3
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.3.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.3.convolution.weight"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.3.normalization.bias",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_mean"
    },
    {
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        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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    },
    {
      "expected_shape": [
        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.3.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.conv_symmetric.3.normalization.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.identity.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.identity.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.identity.running_var",
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    },
    {
      "expected_shape": [
        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.identity.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.identity.weight"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.lab.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.lab.bias"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.2.layers.1.depthwise_convolution.lab.scale"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.act.lab.bias",
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    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.act.lab.scale",
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    {
      "expected_shape": [
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        128,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_var"
    },
    {
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        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.0.normalization.weight"
    },
    {
      "expected_shape": [
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        128,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.convolution.weight"
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    {
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        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.1.normalization.weight"
    },
    {
      "expected_shape": [
        128,
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        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.normalization.bias"
    },
    {
      "expected_shape": [
        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_mean"
    },
    {
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        128
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.2.normalization.weight"
    },
    {
      "expected_shape": [
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        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.convolution.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.normalization.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.normalization.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.normalization.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.normalization.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.conv_symmetric.3.normalization.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.identity.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.identity.running_mean",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.identity.running_var",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.identity.weight",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.identity.weight"
    },
    {
      "expected_shape": [
        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.lab.bias",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.lab.bias"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.2.layers.1.pointwise_convolution.lab.scale"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.act.lab.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.act.lab.bias"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.act.lab.scale",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.act.lab.scale"
    },
    {
      "expected_shape": [
        128,
        1,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.normalization.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.normalization.running_var",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.normalization.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_small_symmetric.normalization.weight"
    },
    {
      "expected_shape": [
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        3,
        3
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.normalization.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.normalization.running_var",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.normalization.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.0.normalization.weight"
    },
    {
      "expected_shape": [
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        1,
        3,
        3
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_var",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.normalization.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.1.normalization.weight"
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    {
      "expected_shape": [
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        3,
        3
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.normalization.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.normalization.running_var",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.normalization.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.normalization.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.2.normalization.weight"
    },
    {
      "expected_shape": [
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        1,
        3,
        3
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.convolution.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.normalization.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_mean"
    },
    {
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        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_var",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_var"
    },
    {
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        128
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.normalization.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.conv_symmetric.3.normalization.weight"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.lab.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.lab.bias"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.3.layers.0.depthwise_convolution.lab.scale"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.act.lab.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.act.lab.bias"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.act.lab.scale",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.act.lab.scale"
    },
    {
      "expected_shape": [
        240,
        128,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.convolution.weight"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.normalization.bias"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_mean"
    },
    {
      "expected_shape": [
        240
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_var",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_var"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.normalization.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.0.normalization.weight"
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    {
      "expected_shape": [
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        128,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.convolution.weight"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.normalization.bias"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_mean"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_var",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_var"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.normalization.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.1.normalization.weight"
    },
    {
      "expected_shape": [
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        128,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.2.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.2.convolution.weight"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.2.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.2.normalization.bias"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_mean"
    },
    {
      "expected_shape": [
        240
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.0.pointwise_convolution.lab.scale",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.act.lab.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_small_symmetric.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_small_symmetric.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_small_symmetric.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_small_symmetric.normalization.weight",
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.0.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.1.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.2.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.identity.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.identity.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.identity.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.depthwise_convolution.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_var",
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      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.1.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.identity.bias",
      "target": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.identity.bias"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.identity.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.identity.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.3.layers.1.pointwise_convolution.lab.scale"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.act.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_small_symmetric.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_small_symmetric.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_small_symmetric.normalization.bias"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_small_symmetric.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_small_symmetric.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_small_symmetric.normalization.weight",
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.0.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.0.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        5,
        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.1.normalization.weight",
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    {
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        5,
        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.2.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.2.convolution.weight"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.2.normalization.bias",
      "target": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.2.normalization.bias"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        5,
        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.3.convolution.weight",
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    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.identity.bias",
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    {
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        240
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.identity.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.identity.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.depthwise_convolution.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.1.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.1.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.2.normalization.bias",
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      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.identity.bias",
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    {
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        240
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.identity.running_var",
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    {
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        240
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.identity.weight",
      "target": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.identity.weight"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.2.pointwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.act.lab.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_small_symmetric.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_small_symmetric.normalization.bias",
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    {
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_small_symmetric.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_small_symmetric.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.0.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.0.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.0.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.0.normalization.weight",
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        5
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.1.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.identity.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.identity.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.identity.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.depthwise_convolution.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.1.normalization.running_var",
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      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.1.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.2.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.identity.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.identity.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.identity.weight",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.3.pointwise_convolution.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.act.lab.scale",
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    {
      "expected_shape": [
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        1,
        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_small_symmetric.convolution.weight",
      "target": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_small_symmetric.convolution.weight"
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_small_symmetric.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_small_symmetric.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.0.normalization.bias",
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      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.0.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.1.convolution.weight",
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      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.1.normalization.bias",
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      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.1.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.2.convolution.weight",
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      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.2.normalization.bias",
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      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.2.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.identity.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.identity.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.identity.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.depthwise_convolution.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.0.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.1.normalization.bias",
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      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.1.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.1.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.2.normalization.bias",
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      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.2.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.3.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.identity.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.3.layers.4.pointwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.act.lab.scale",
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    {
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        1,
        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_small_symmetric.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_small_symmetric.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_small_symmetric.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_small_symmetric.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_small_symmetric.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.0.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.0.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.0.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.1.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
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      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.1.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.2.normalization.bias",
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      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.2.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.3.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.conv_symmetric.3.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.depthwise_convolution.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.1.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.1.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.2.normalization.bias",
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      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.2.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.2.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.conv_symmetric.3.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.lab.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.pointwise_convolution.lab.scale",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.squeeze_excitation_module.convolutions.0.bias",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.squeeze_excitation_module.convolutions.0.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.squeeze_excitation_module.convolutions.2.bias",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.0.squeeze_excitation_module.convolutions.2.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_small_symmetric.convolution.weight",
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    {
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      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_small_symmetric.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.0.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        5,
        5
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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        480
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.1.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.2.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.2.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.2.normalization.weight",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.3.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.3.normalization.bias",
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      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.conv_symmetric.3.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.identity.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.depthwise_convolution.lab.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.act.lab.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.0.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.1.convolution.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.1.normalization.running_var",
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      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.1.normalization.weight",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.2.normalization.bias",
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      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.3.convolution.weight",
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      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.1.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.0.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        5,
        5
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.1.normalization.bias",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.1.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.1.normalization.running_mean"
    },
    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.1.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.1.normalization.weight",
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.2.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.2.normalization.weight",
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.3.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.conv_symmetric.3.normalization.weight",
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      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.depthwise_convolution.lab.scale",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.act.lab.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.act.lab.scale",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.0.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.0.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.0.normalization.running_var",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.0.normalization.weight",
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    {
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.1.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.1.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.1.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.2.normalization.bias",
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      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
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      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.2.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.2.normalization.weight",
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        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.3.convolution.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.3.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.conv_symmetric.3.normalization.weight",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.identity.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.identity.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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      "source": "model.backbone.encoder.blocks.4.layers.2.pointwise_convolution.identity.weight",
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    {
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    {
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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    {
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    {
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    {
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.1.normalization.bias",
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    {
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.2.normalization.bias",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.2.normalization.running_mean",
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    {
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.2.normalization.running_var",
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.2.normalization.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.2.normalization.weight"
    },
    {
      "expected_shape": [
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        5
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.convolution.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.convolution.weight"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.normalization.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.normalization.bias"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.normalization.running_mean"
    },
    {
      "expected_shape": [
        480
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.normalization.running_var",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.normalization.running_var"
    },
    {
      "expected_shape": [
        480
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.normalization.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.conv_symmetric.3.normalization.weight"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.identity.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.identity.bias"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.identity.running_mean",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.identity.running_mean"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.identity.running_var",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.identity.running_var"
    },
    {
      "expected_shape": [
        480
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.identity.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.identity.weight"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.lab.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.lab.bias"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.4.layers.3.depthwise_convolution.lab.scale"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.act.lab.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.act.lab.bias"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.act.lab.scale",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.act.lab.scale"
    },
    {
      "expected_shape": [
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        480,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.convolution.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.convolution.weight"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.normalization.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.normalization.bias"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.normalization.running_mean"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.normalization.running_var",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.normalization.running_var"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.normalization.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.0.normalization.weight"
    },
    {
      "expected_shape": [
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        480,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.convolution.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.convolution.weight"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.normalization.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.normalization.bias"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.normalization.running_mean"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.normalization.running_var",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.normalization.running_var"
    },
    {
      "expected_shape": [
        480
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.normalization.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.1.normalization.weight"
    },
    {
      "expected_shape": [
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        1,
        1
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.convolution.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.convolution.weight"
    },
    {
      "expected_shape": [
        480
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.normalization.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.normalization.bias"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.normalization.running_mean"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.normalization.running_var",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.normalization.running_var"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.normalization.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.2.normalization.weight"
    },
    {
      "expected_shape": [
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        480,
        1,
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.convolution.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.convolution.weight"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.normalization.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.normalization.bias"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.normalization.running_mean",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.normalization.running_mean"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.normalization.running_var",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.normalization.running_var"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.normalization.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.conv_symmetric.3.normalization.weight"
    },
    {
      "expected_shape": [
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      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.identity.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.identity.bias"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.identity.running_mean",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.identity.running_mean"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.identity.running_var",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.identity.running_var"
    },
    {
      "expected_shape": [
        480
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.identity.weight",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.identity.weight"
    },
    {
      "expected_shape": [
        1
      ],
      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.lab.bias",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.lab.bias"
    },
    {
      "expected_shape": [
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      "notes": "PPLCNetV3 recognition backbone block tensor reused without transpose",
      "source": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.lab.scale",
      "target": "model.backbone.encoder.blocks.4.layers.3.pointwise_convolution.lab.scale"
    },
    {
      "expected_shape": [
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        3,
        3
      ],
      "notes": "PPLCNetV3 recognition stem tensor reused without transpose",
      "source": "model.backbone.encoder.convolution.convolution.weight",
      "target": "model.backbone.encoder.convolution.convolution.weight"
    },
    {
      "expected_shape": [
        16
      ],
      "notes": "PPLCNetV3 recognition stem tensor reused without transpose",
      "source": "model.backbone.encoder.convolution.normalization.bias",
      "target": "model.backbone.encoder.convolution.normalization.bias"
    },
    {
      "expected_shape": [
        16
      ],
      "notes": "PPLCNetV3 recognition stem tensor reused without transpose",
      "source": "model.backbone.encoder.convolution.normalization.running_mean",
      "target": "model.backbone.encoder.convolution.normalization.running_mean"
    },
    {
      "expected_shape": [
        16
      ],
      "notes": "PPLCNetV3 recognition stem tensor reused without transpose",
      "source": "model.backbone.encoder.convolution.normalization.running_var",
      "target": "model.backbone.encoder.convolution.normalization.running_var"
    },
    {
      "expected_shape": [
        16
      ],
      "notes": "PPLCNetV3 recognition stem tensor reused without transpose",
      "source": "model.backbone.encoder.convolution.normalization.weight",
      "target": "model.backbone.encoder.convolution.normalization.weight"
    }
  ]
}