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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.4.rbr_identity.running_mean",
      "target": "feat_extractor.3.4.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.4.rbr_identity.running_var",
      "target": "feat_extractor.3.4.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.4.rbr_identity.weight",
      "target": "feat_extractor.3.4.rbr_identity.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.bn.bias",
      "target": "feat_extractor.3.5.bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.bn.running_mean",
      "target": "feat_extractor.3.5.bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.bn.running_var",
      "target": "feat_extractor.3.5.bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.bn.weight",
      "target": "feat_extractor.3.5.bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.conv.weight",
      "target": "feat_extractor.3.5.conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.hor_bn.bias",
      "target": "feat_extractor.3.5.hor_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.hor_bn.running_mean",
      "target": "feat_extractor.3.5.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.hor_bn.running_var",
      "target": "feat_extractor.3.5.hor_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.hor_bn.weight",
      "target": "feat_extractor.3.5.hor_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.hor_conv.weight",
      "target": "feat_extractor.3.5.hor_conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.rbr_identity.bias",
      "target": "feat_extractor.3.5.rbr_identity.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.rbr_identity.running_mean",
      "target": "feat_extractor.3.5.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.rbr_identity.running_var",
      "target": "feat_extractor.3.5.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.rbr_identity.weight",
      "target": "feat_extractor.3.5.rbr_identity.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.ver_bn.bias",
      "target": "feat_extractor.3.5.ver_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.ver_bn.running_mean",
      "target": "feat_extractor.3.5.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.ver_bn.running_var",
      "target": "feat_extractor.3.5.ver_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.ver_bn.weight",
      "target": "feat_extractor.3.5.ver_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.5.ver_conv.weight",
      "target": "feat_extractor.3.5.ver_conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.bn.bias",
      "target": "feat_extractor.3.6.bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.bn.running_mean",
      "target": "feat_extractor.3.6.bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.bn.running_var",
      "target": "feat_extractor.3.6.bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.bn.weight",
      "target": "feat_extractor.3.6.bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.conv.weight",
      "target": "feat_extractor.3.6.conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.hor_bn.bias",
      "target": "feat_extractor.3.6.hor_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.hor_bn.running_mean",
      "target": "feat_extractor.3.6.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.hor_bn.running_var",
      "target": "feat_extractor.3.6.hor_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.hor_bn.weight",
      "target": "feat_extractor.3.6.hor_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.hor_conv.weight",
      "target": "feat_extractor.3.6.hor_conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.rbr_identity.bias",
      "target": "feat_extractor.3.6.rbr_identity.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.rbr_identity.running_mean",
      "target": "feat_extractor.3.6.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.rbr_identity.running_var",
      "target": "feat_extractor.3.6.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.rbr_identity.weight",
      "target": "feat_extractor.3.6.rbr_identity.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.ver_bn.bias",
      "target": "feat_extractor.3.6.ver_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.ver_bn.running_mean",
      "target": "feat_extractor.3.6.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.ver_bn.running_var",
      "target": "feat_extractor.3.6.ver_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.ver_bn.weight",
      "target": "feat_extractor.3.6.ver_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.6.ver_conv.weight",
      "target": "feat_extractor.3.6.ver_conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.bn.bias",
      "target": "feat_extractor.3.7.bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.bn.running_mean",
      "target": "feat_extractor.3.7.bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.bn.running_var",
      "target": "feat_extractor.3.7.bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.bn.weight",
      "target": "feat_extractor.3.7.bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.conv.weight",
      "target": "feat_extractor.3.7.conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.rbr_identity.bias",
      "target": "feat_extractor.3.7.rbr_identity.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.rbr_identity.running_mean",
      "target": "feat_extractor.3.7.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.rbr_identity.running_var",
      "target": "feat_extractor.3.7.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.rbr_identity.weight",
      "target": "feat_extractor.3.7.rbr_identity.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.ver_bn.bias",
      "target": "feat_extractor.3.7.ver_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.ver_bn.running_mean",
      "target": "feat_extractor.3.7.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.ver_bn.running_var",
      "target": "feat_extractor.3.7.ver_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.ver_bn.weight",
      "target": "feat_extractor.3.7.ver_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.7.ver_conv.weight",
      "target": "feat_extractor.3.7.ver_conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.bn.bias",
      "target": "feat_extractor.3.8.bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.bn.running_mean",
      "target": "feat_extractor.3.8.bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.bn.running_var",
      "target": "feat_extractor.3.8.bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.bn.weight",
      "target": "feat_extractor.3.8.bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.conv.weight",
      "target": "feat_extractor.3.8.conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.hor_bn.bias",
      "target": "feat_extractor.3.8.hor_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.hor_bn.running_mean",
      "target": "feat_extractor.3.8.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.hor_bn.running_var",
      "target": "feat_extractor.3.8.hor_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.hor_bn.weight",
      "target": "feat_extractor.3.8.hor_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.hor_conv.weight",
      "target": "feat_extractor.3.8.hor_conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.rbr_identity.bias",
      "target": "feat_extractor.3.8.rbr_identity.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.rbr_identity.running_mean",
      "target": "feat_extractor.3.8.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.rbr_identity.running_var",
      "target": "feat_extractor.3.8.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.rbr_identity.weight",
      "target": "feat_extractor.3.8.rbr_identity.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.ver_bn.bias",
      "target": "feat_extractor.3.8.ver_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.ver_bn.running_mean",
      "target": "feat_extractor.3.8.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.ver_bn.running_var",
      "target": "feat_extractor.3.8.ver_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.ver_bn.weight",
      "target": "feat_extractor.3.8.ver_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.8.ver_conv.weight",
      "target": "feat_extractor.3.8.ver_conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.bn.bias",
      "target": "feat_extractor.3.9.bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.bn.running_mean",
      "target": "feat_extractor.3.9.bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.bn.running_var",
      "target": "feat_extractor.3.9.bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.bn.weight",
      "target": "feat_extractor.3.9.bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.conv.weight",
      "target": "feat_extractor.3.9.conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.hor_bn.bias",
      "target": "feat_extractor.3.9.hor_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.hor_bn.running_mean",
      "target": "feat_extractor.3.9.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.hor_bn.running_var",
      "target": "feat_extractor.3.9.hor_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.hor_bn.weight",
      "target": "feat_extractor.3.9.hor_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.hor_conv.weight",
      "target": "feat_extractor.3.9.hor_conv.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.rbr_identity.bias",
      "target": "feat_extractor.3.9.rbr_identity.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.rbr_identity.running_mean",
      "target": "feat_extractor.3.9.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.rbr_identity.running_var",
      "target": "feat_extractor.3.9.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.rbr_identity.weight",
      "target": "feat_extractor.3.9.rbr_identity.weight"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.ver_bn.bias",
      "target": "feat_extractor.3.9.ver_bn.bias"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.ver_bn.running_mean",
      "target": "feat_extractor.3.9.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.ver_bn.running_var",
      "target": "feat_extractor.3.9.ver_bn.running_var"
    },
    {
      "expected_shape": [
        64
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.ver_bn.weight",
      "target": "feat_extractor.3.9.ver_bn.weight"
    },
    {
      "expected_shape": [
        64,
        64,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.3.9.ver_conv.weight",
      "target": "feat_extractor.3.9.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.bn.bias",
      "target": "feat_extractor.4.0.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.bn.running_mean",
      "target": "feat_extractor.4.0.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.bn.running_var",
      "target": "feat_extractor.4.0.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.bn.weight",
      "target": "feat_extractor.4.0.bn.weight"
    },
    {
      "expected_shape": [
        128,
        64,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.conv.weight",
      "target": "feat_extractor.4.0.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.hor_bn.bias",
      "target": "feat_extractor.4.0.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.hor_bn.running_mean",
      "target": "feat_extractor.4.0.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.hor_bn.running_var",
      "target": "feat_extractor.4.0.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.hor_bn.weight",
      "target": "feat_extractor.4.0.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        64,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.hor_conv.weight",
      "target": "feat_extractor.4.0.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.ver_bn.bias",
      "target": "feat_extractor.4.0.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.ver_bn.running_mean",
      "target": "feat_extractor.4.0.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.ver_bn.running_var",
      "target": "feat_extractor.4.0.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.ver_bn.weight",
      "target": "feat_extractor.4.0.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        64,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.0.ver_conv.weight",
      "target": "feat_extractor.4.0.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.bn.bias",
      "target": "feat_extractor.4.1.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.bn.running_mean",
      "target": "feat_extractor.4.1.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.bn.running_var",
      "target": "feat_extractor.4.1.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.bn.weight",
      "target": "feat_extractor.4.1.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.conv.weight",
      "target": "feat_extractor.4.1.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.rbr_identity.bias",
      "target": "feat_extractor.4.1.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.rbr_identity.running_mean",
      "target": "feat_extractor.4.1.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.rbr_identity.running_var",
      "target": "feat_extractor.4.1.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.rbr_identity.weight",
      "target": "feat_extractor.4.1.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.ver_bn.bias",
      "target": "feat_extractor.4.1.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.ver_bn.running_mean",
      "target": "feat_extractor.4.1.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.ver_bn.running_var",
      "target": "feat_extractor.4.1.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.ver_bn.weight",
      "target": "feat_extractor.4.1.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.1.ver_conv.weight",
      "target": "feat_extractor.4.1.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.bn.bias",
      "target": "feat_extractor.4.2.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.bn.running_mean",
      "target": "feat_extractor.4.2.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.bn.running_var",
      "target": "feat_extractor.4.2.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.bn.weight",
      "target": "feat_extractor.4.2.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.conv.weight",
      "target": "feat_extractor.4.2.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.hor_bn.bias",
      "target": "feat_extractor.4.2.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.hor_bn.running_mean",
      "target": "feat_extractor.4.2.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.hor_bn.running_var",
      "target": "feat_extractor.4.2.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.hor_bn.weight",
      "target": "feat_extractor.4.2.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.hor_conv.weight",
      "target": "feat_extractor.4.2.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.rbr_identity.bias",
      "target": "feat_extractor.4.2.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.rbr_identity.running_mean",
      "target": "feat_extractor.4.2.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.rbr_identity.running_var",
      "target": "feat_extractor.4.2.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.rbr_identity.weight",
      "target": "feat_extractor.4.2.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.ver_bn.bias",
      "target": "feat_extractor.4.2.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.ver_bn.running_mean",
      "target": "feat_extractor.4.2.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.ver_bn.running_var",
      "target": "feat_extractor.4.2.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.ver_bn.weight",
      "target": "feat_extractor.4.2.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.2.ver_conv.weight",
      "target": "feat_extractor.4.2.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.bn.bias",
      "target": "feat_extractor.4.3.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.bn.running_mean",
      "target": "feat_extractor.4.3.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.bn.running_var",
      "target": "feat_extractor.4.3.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.bn.weight",
      "target": "feat_extractor.4.3.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.conv.weight",
      "target": "feat_extractor.4.3.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.hor_bn.bias",
      "target": "feat_extractor.4.3.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.hor_bn.running_mean",
      "target": "feat_extractor.4.3.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.hor_bn.running_var",
      "target": "feat_extractor.4.3.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.hor_bn.weight",
      "target": "feat_extractor.4.3.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.hor_conv.weight",
      "target": "feat_extractor.4.3.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.rbr_identity.bias",
      "target": "feat_extractor.4.3.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.rbr_identity.running_mean",
      "target": "feat_extractor.4.3.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.rbr_identity.running_var",
      "target": "feat_extractor.4.3.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.3.rbr_identity.weight",
      "target": "feat_extractor.4.3.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.bn.bias",
      "target": "feat_extractor.4.4.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.bn.running_mean",
      "target": "feat_extractor.4.4.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.bn.running_var",
      "target": "feat_extractor.4.4.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.bn.weight",
      "target": "feat_extractor.4.4.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.conv.weight",
      "target": "feat_extractor.4.4.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.hor_bn.bias",
      "target": "feat_extractor.4.4.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.hor_bn.running_mean",
      "target": "feat_extractor.4.4.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.hor_bn.running_var",
      "target": "feat_extractor.4.4.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.hor_bn.weight",
      "target": "feat_extractor.4.4.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.hor_conv.weight",
      "target": "feat_extractor.4.4.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.rbr_identity.bias",
      "target": "feat_extractor.4.4.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.rbr_identity.running_mean",
      "target": "feat_extractor.4.4.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.rbr_identity.running_var",
      "target": "feat_extractor.4.4.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.rbr_identity.weight",
      "target": "feat_extractor.4.4.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.ver_bn.bias",
      "target": "feat_extractor.4.4.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.ver_bn.running_mean",
      "target": "feat_extractor.4.4.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.ver_bn.running_var",
      "target": "feat_extractor.4.4.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.ver_bn.weight",
      "target": "feat_extractor.4.4.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.4.ver_conv.weight",
      "target": "feat_extractor.4.4.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.bn.bias",
      "target": "feat_extractor.4.5.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.bn.running_mean",
      "target": "feat_extractor.4.5.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.bn.running_var",
      "target": "feat_extractor.4.5.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.bn.weight",
      "target": "feat_extractor.4.5.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.conv.weight",
      "target": "feat_extractor.4.5.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.hor_bn.bias",
      "target": "feat_extractor.4.5.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.hor_bn.running_mean",
      "target": "feat_extractor.4.5.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.hor_bn.running_var",
      "target": "feat_extractor.4.5.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.hor_bn.weight",
      "target": "feat_extractor.4.5.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.hor_conv.weight",
      "target": "feat_extractor.4.5.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.rbr_identity.bias",
      "target": "feat_extractor.4.5.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.rbr_identity.running_mean",
      "target": "feat_extractor.4.5.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.rbr_identity.running_var",
      "target": "feat_extractor.4.5.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.rbr_identity.weight",
      "target": "feat_extractor.4.5.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.ver_bn.bias",
      "target": "feat_extractor.4.5.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.ver_bn.running_mean",
      "target": "feat_extractor.4.5.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.ver_bn.running_var",
      "target": "feat_extractor.4.5.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.ver_bn.weight",
      "target": "feat_extractor.4.5.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.5.ver_conv.weight",
      "target": "feat_extractor.4.5.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.bn.bias",
      "target": "feat_extractor.4.6.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.bn.running_mean",
      "target": "feat_extractor.4.6.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.bn.running_var",
      "target": "feat_extractor.4.6.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.bn.weight",
      "target": "feat_extractor.4.6.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.conv.weight",
      "target": "feat_extractor.4.6.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.hor_bn.bias",
      "target": "feat_extractor.4.6.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.hor_bn.running_mean",
      "target": "feat_extractor.4.6.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.hor_bn.running_var",
      "target": "feat_extractor.4.6.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.hor_bn.weight",
      "target": "feat_extractor.4.6.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.hor_conv.weight",
      "target": "feat_extractor.4.6.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.rbr_identity.bias",
      "target": "feat_extractor.4.6.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.rbr_identity.running_mean",
      "target": "feat_extractor.4.6.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.rbr_identity.running_var",
      "target": "feat_extractor.4.6.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.6.rbr_identity.weight",
      "target": "feat_extractor.4.6.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.bn.bias",
      "target": "feat_extractor.4.7.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.bn.running_mean",
      "target": "feat_extractor.4.7.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.bn.running_var",
      "target": "feat_extractor.4.7.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.bn.weight",
      "target": "feat_extractor.4.7.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.conv.weight",
      "target": "feat_extractor.4.7.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.hor_bn.bias",
      "target": "feat_extractor.4.7.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.hor_bn.running_mean",
      "target": "feat_extractor.4.7.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.hor_bn.running_var",
      "target": "feat_extractor.4.7.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.hor_bn.weight",
      "target": "feat_extractor.4.7.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.hor_conv.weight",
      "target": "feat_extractor.4.7.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.rbr_identity.bias",
      "target": "feat_extractor.4.7.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.rbr_identity.running_mean",
      "target": "feat_extractor.4.7.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.rbr_identity.running_var",
      "target": "feat_extractor.4.7.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.7.rbr_identity.weight",
      "target": "feat_extractor.4.7.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.bn.bias",
      "target": "feat_extractor.4.8.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.bn.running_mean",
      "target": "feat_extractor.4.8.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.bn.running_var",
      "target": "feat_extractor.4.8.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.bn.weight",
      "target": "feat_extractor.4.8.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.conv.weight",
      "target": "feat_extractor.4.8.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.hor_bn.bias",
      "target": "feat_extractor.4.8.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.hor_bn.running_mean",
      "target": "feat_extractor.4.8.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.hor_bn.running_var",
      "target": "feat_extractor.4.8.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.hor_bn.weight",
      "target": "feat_extractor.4.8.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.hor_conv.weight",
      "target": "feat_extractor.4.8.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.rbr_identity.bias",
      "target": "feat_extractor.4.8.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.rbr_identity.running_mean",
      "target": "feat_extractor.4.8.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.rbr_identity.running_var",
      "target": "feat_extractor.4.8.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.rbr_identity.weight",
      "target": "feat_extractor.4.8.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.ver_bn.bias",
      "target": "feat_extractor.4.8.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.ver_bn.running_mean",
      "target": "feat_extractor.4.8.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.ver_bn.running_var",
      "target": "feat_extractor.4.8.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.ver_bn.weight",
      "target": "feat_extractor.4.8.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.8.ver_conv.weight",
      "target": "feat_extractor.4.8.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.bn.bias",
      "target": "feat_extractor.4.9.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.bn.running_mean",
      "target": "feat_extractor.4.9.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.bn.running_var",
      "target": "feat_extractor.4.9.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.bn.weight",
      "target": "feat_extractor.4.9.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.conv.weight",
      "target": "feat_extractor.4.9.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.hor_bn.bias",
      "target": "feat_extractor.4.9.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.hor_bn.running_mean",
      "target": "feat_extractor.4.9.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.hor_bn.running_var",
      "target": "feat_extractor.4.9.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.hor_bn.weight",
      "target": "feat_extractor.4.9.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.hor_conv.weight",
      "target": "feat_extractor.4.9.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.rbr_identity.bias",
      "target": "feat_extractor.4.9.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.rbr_identity.running_mean",
      "target": "feat_extractor.4.9.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.rbr_identity.running_var",
      "target": "feat_extractor.4.9.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.rbr_identity.weight",
      "target": "feat_extractor.4.9.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.ver_bn.bias",
      "target": "feat_extractor.4.9.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.ver_bn.running_mean",
      "target": "feat_extractor.4.9.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.ver_bn.running_var",
      "target": "feat_extractor.4.9.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.ver_bn.weight",
      "target": "feat_extractor.4.9.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.4.9.ver_conv.weight",
      "target": "feat_extractor.4.9.ver_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.bn.bias",
      "target": "feat_extractor.5.0.bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.bn.running_mean",
      "target": "feat_extractor.5.0.bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.bn.running_var",
      "target": "feat_extractor.5.0.bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.bn.weight",
      "target": "feat_extractor.5.0.bn.weight"
    },
    {
      "expected_shape": [
        256,
        128,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.conv.weight",
      "target": "feat_extractor.5.0.conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.hor_bn.bias",
      "target": "feat_extractor.5.0.hor_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.hor_bn.running_mean",
      "target": "feat_extractor.5.0.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        256
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.hor_bn.running_var",
      "target": "feat_extractor.5.0.hor_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.hor_bn.weight",
      "target": "feat_extractor.5.0.hor_bn.weight"
    },
    {
      "expected_shape": [
        256,
        128,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.hor_conv.weight",
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    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.ver_bn.bias",
      "target": "feat_extractor.5.0.ver_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.ver_bn.running_mean",
      "target": "feat_extractor.5.0.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.ver_bn.running_var",
      "target": "feat_extractor.5.0.ver_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.ver_bn.weight",
      "target": "feat_extractor.5.0.ver_bn.weight"
    },
    {
      "expected_shape": [
        256,
        128,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.0.ver_conv.weight",
      "target": "feat_extractor.5.0.ver_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.bn.bias",
      "target": "feat_extractor.5.1.bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.bn.running_mean",
      "target": "feat_extractor.5.1.bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.bn.running_var",
      "target": "feat_extractor.5.1.bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.bn.weight",
      "target": "feat_extractor.5.1.bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.conv.weight",
      "target": "feat_extractor.5.1.conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.hor_bn.bias",
      "target": "feat_extractor.5.1.hor_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.hor_bn.running_mean",
      "target": "feat_extractor.5.1.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.hor_bn.running_var",
      "target": "feat_extractor.5.1.hor_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.hor_bn.weight",
      "target": "feat_extractor.5.1.hor_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.hor_conv.weight",
      "target": "feat_extractor.5.1.hor_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.rbr_identity.bias",
      "target": "feat_extractor.5.1.rbr_identity.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.rbr_identity.running_mean",
      "target": "feat_extractor.5.1.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.rbr_identity.running_var",
      "target": "feat_extractor.5.1.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.rbr_identity.weight",
      "target": "feat_extractor.5.1.rbr_identity.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.ver_bn.bias",
      "target": "feat_extractor.5.1.ver_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.ver_bn.running_mean",
      "target": "feat_extractor.5.1.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.ver_bn.running_var",
      "target": "feat_extractor.5.1.ver_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.ver_bn.weight",
      "target": "feat_extractor.5.1.ver_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.1.ver_conv.weight",
      "target": "feat_extractor.5.1.ver_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.bn.bias",
      "target": "feat_extractor.5.2.bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.bn.running_mean",
      "target": "feat_extractor.5.2.bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.bn.running_var",
      "target": "feat_extractor.5.2.bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.bn.weight",
      "target": "feat_extractor.5.2.bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.conv.weight",
      "target": "feat_extractor.5.2.conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.hor_bn.bias",
      "target": "feat_extractor.5.2.hor_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.hor_bn.running_mean",
      "target": "feat_extractor.5.2.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.hor_bn.running_var",
      "target": "feat_extractor.5.2.hor_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.hor_bn.weight",
      "target": "feat_extractor.5.2.hor_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.hor_conv.weight",
      "target": "feat_extractor.5.2.hor_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.rbr_identity.bias",
      "target": "feat_extractor.5.2.rbr_identity.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.rbr_identity.running_mean",
      "target": "feat_extractor.5.2.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.rbr_identity.running_var",
      "target": "feat_extractor.5.2.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.rbr_identity.weight",
      "target": "feat_extractor.5.2.rbr_identity.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.ver_bn.bias",
      "target": "feat_extractor.5.2.ver_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.ver_bn.running_mean",
      "target": "feat_extractor.5.2.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.ver_bn.running_var",
      "target": "feat_extractor.5.2.ver_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.ver_bn.weight",
      "target": "feat_extractor.5.2.ver_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.2.ver_conv.weight",
      "target": "feat_extractor.5.2.ver_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.bn.bias",
      "target": "feat_extractor.5.3.bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.bn.running_mean",
      "target": "feat_extractor.5.3.bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.bn.running_var",
      "target": "feat_extractor.5.3.bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.bn.weight",
      "target": "feat_extractor.5.3.bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.conv.weight",
      "target": "feat_extractor.5.3.conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.rbr_identity.bias",
      "target": "feat_extractor.5.3.rbr_identity.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.rbr_identity.running_mean",
      "target": "feat_extractor.5.3.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.rbr_identity.running_var",
      "target": "feat_extractor.5.3.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.rbr_identity.weight",
      "target": "feat_extractor.5.3.rbr_identity.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.ver_bn.bias",
      "target": "feat_extractor.5.3.ver_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.ver_bn.running_mean",
      "target": "feat_extractor.5.3.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.ver_bn.running_var",
      "target": "feat_extractor.5.3.ver_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.ver_bn.weight",
      "target": "feat_extractor.5.3.ver_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.3.ver_conv.weight",
      "target": "feat_extractor.5.3.ver_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.bn.bias",
      "target": "feat_extractor.5.4.bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.bn.running_mean",
      "target": "feat_extractor.5.4.bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.bn.running_var",
      "target": "feat_extractor.5.4.bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.bn.weight",
      "target": "feat_extractor.5.4.bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.conv.weight",
      "target": "feat_extractor.5.4.conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.hor_bn.bias",
      "target": "feat_extractor.5.4.hor_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.hor_bn.running_mean",
      "target": "feat_extractor.5.4.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.hor_bn.running_var",
      "target": "feat_extractor.5.4.hor_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.hor_bn.weight",
      "target": "feat_extractor.5.4.hor_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.hor_conv.weight",
      "target": "feat_extractor.5.4.hor_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.rbr_identity.bias",
      "target": "feat_extractor.5.4.rbr_identity.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.rbr_identity.running_mean",
      "target": "feat_extractor.5.4.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.rbr_identity.running_var",
      "target": "feat_extractor.5.4.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.rbr_identity.weight",
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    },
    {
      "expected_shape": [
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.ver_bn.bias",
      "target": "feat_extractor.5.4.ver_bn.bias"
    },
    {
      "expected_shape": [
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.ver_bn.running_mean",
      "target": "feat_extractor.5.4.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        256
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.ver_bn.running_var",
      "target": "feat_extractor.5.4.ver_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.ver_bn.weight",
      "target": "feat_extractor.5.4.ver_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.4.ver_conv.weight",
      "target": "feat_extractor.5.4.ver_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.bn.bias",
      "target": "feat_extractor.5.5.bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.bn.running_mean",
      "target": "feat_extractor.5.5.bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.bn.running_var",
      "target": "feat_extractor.5.5.bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.bn.weight",
      "target": "feat_extractor.5.5.bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.conv.weight",
      "target": "feat_extractor.5.5.conv.weight"
    },
    {
      "expected_shape": [
        256
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.hor_bn.bias",
      "target": "feat_extractor.5.5.hor_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.hor_bn.running_mean",
      "target": "feat_extractor.5.5.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        256
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.hor_bn.running_var",
      "target": "feat_extractor.5.5.hor_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.hor_bn.weight",
      "target": "feat_extractor.5.5.hor_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.hor_conv.weight",
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    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.rbr_identity.bias",
      "target": "feat_extractor.5.5.rbr_identity.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.rbr_identity.running_mean",
      "target": "feat_extractor.5.5.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        256
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.rbr_identity.running_var",
      "target": "feat_extractor.5.5.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.5.rbr_identity.weight",
      "target": "feat_extractor.5.5.rbr_identity.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.bn.bias",
      "target": "feat_extractor.5.6.bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.bn.running_mean",
      "target": "feat_extractor.5.6.bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.bn.running_var",
      "target": "feat_extractor.5.6.bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.bn.weight",
      "target": "feat_extractor.5.6.bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.conv.weight",
      "target": "feat_extractor.5.6.conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.hor_bn.bias",
      "target": "feat_extractor.5.6.hor_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.hor_bn.running_mean",
      "target": "feat_extractor.5.6.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.hor_bn.running_var",
      "target": "feat_extractor.5.6.hor_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.hor_bn.weight",
      "target": "feat_extractor.5.6.hor_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.hor_conv.weight",
      "target": "feat_extractor.5.6.hor_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.rbr_identity.bias",
      "target": "feat_extractor.5.6.rbr_identity.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.rbr_identity.running_mean",
      "target": "feat_extractor.5.6.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.rbr_identity.running_var",
      "target": "feat_extractor.5.6.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.rbr_identity.weight",
      "target": "feat_extractor.5.6.rbr_identity.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.ver_bn.bias",
      "target": "feat_extractor.5.6.ver_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.ver_bn.running_mean",
      "target": "feat_extractor.5.6.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.ver_bn.running_var",
      "target": "feat_extractor.5.6.ver_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.ver_bn.weight",
      "target": "feat_extractor.5.6.ver_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.6.ver_conv.weight",
      "target": "feat_extractor.5.6.ver_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.bn.bias",
      "target": "feat_extractor.5.7.bn.bias"
    },
    {
      "expected_shape": [
        256
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.bn.running_mean",
      "target": "feat_extractor.5.7.bn.running_mean"
    },
    {
      "expected_shape": [
        256
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.bn.running_var",
      "target": "feat_extractor.5.7.bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.bn.weight",
      "target": "feat_extractor.5.7.bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.conv.weight",
      "target": "feat_extractor.5.7.conv.weight"
    },
    {
      "expected_shape": [
        256
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      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.hor_bn.bias",
      "target": "feat_extractor.5.7.hor_bn.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.hor_bn.running_mean",
      "target": "feat_extractor.5.7.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.hor_bn.running_var",
      "target": "feat_extractor.5.7.hor_bn.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.hor_bn.weight",
      "target": "feat_extractor.5.7.hor_bn.weight"
    },
    {
      "expected_shape": [
        256,
        256,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.hor_conv.weight",
      "target": "feat_extractor.5.7.hor_conv.weight"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.rbr_identity.bias",
      "target": "feat_extractor.5.7.rbr_identity.bias"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.rbr_identity.running_mean",
      "target": "feat_extractor.5.7.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.rbr_identity.running_var",
      "target": "feat_extractor.5.7.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        256
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.5.7.rbr_identity.weight",
      "target": "feat_extractor.5.7.rbr_identity.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.bn.bias",
      "target": "feat_extractor.6.0.bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.bn.running_mean",
      "target": "feat_extractor.6.0.bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.bn.running_var",
      "target": "feat_extractor.6.0.bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.bn.weight",
      "target": "feat_extractor.6.0.bn.weight"
    },
    {
      "expected_shape": [
        512,
        256,
        3,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.conv.weight",
      "target": "feat_extractor.6.0.conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.hor_bn.bias",
      "target": "feat_extractor.6.0.hor_bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.hor_bn.running_mean",
      "target": "feat_extractor.6.0.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.hor_bn.running_var",
      "target": "feat_extractor.6.0.hor_bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.hor_bn.weight",
      "target": "feat_extractor.6.0.hor_bn.weight"
    },
    {
      "expected_shape": [
        512,
        256,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.hor_conv.weight",
      "target": "feat_extractor.6.0.hor_conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.ver_bn.bias",
      "target": "feat_extractor.6.0.ver_bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.ver_bn.running_mean",
      "target": "feat_extractor.6.0.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.ver_bn.running_var",
      "target": "feat_extractor.6.0.ver_bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.ver_bn.weight",
      "target": "feat_extractor.6.0.ver_bn.weight"
    },
    {
      "expected_shape": [
        512,
        256,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.0.ver_conv.weight",
      "target": "feat_extractor.6.0.ver_conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.bn.bias",
      "target": "feat_extractor.6.1.bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.bn.running_mean",
      "target": "feat_extractor.6.1.bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.bn.running_var",
      "target": "feat_extractor.6.1.bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.bn.weight",
      "target": "feat_extractor.6.1.bn.weight"
    },
    {
      "expected_shape": [
        512,
        512,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.conv.weight",
      "target": "feat_extractor.6.1.conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.rbr_identity.bias",
      "target": "feat_extractor.6.1.rbr_identity.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.rbr_identity.running_mean",
      "target": "feat_extractor.6.1.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.rbr_identity.running_var",
      "target": "feat_extractor.6.1.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.rbr_identity.weight",
      "target": "feat_extractor.6.1.rbr_identity.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.ver_bn.bias",
      "target": "feat_extractor.6.1.ver_bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.ver_bn.running_mean",
      "target": "feat_extractor.6.1.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.ver_bn.running_var",
      "target": "feat_extractor.6.1.ver_bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.ver_bn.weight",
      "target": "feat_extractor.6.1.ver_bn.weight"
    },
    {
      "expected_shape": [
        512,
        512,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.1.ver_conv.weight",
      "target": "feat_extractor.6.1.ver_conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.bn.bias",
      "target": "feat_extractor.6.2.bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.bn.running_mean",
      "target": "feat_extractor.6.2.bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.bn.running_var",
      "target": "feat_extractor.6.2.bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.bn.weight",
      "target": "feat_extractor.6.2.bn.weight"
    },
    {
      "expected_shape": [
        512,
        512,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.conv.weight",
      "target": "feat_extractor.6.2.conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.hor_bn.bias",
      "target": "feat_extractor.6.2.hor_bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.hor_bn.running_mean",
      "target": "feat_extractor.6.2.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.hor_bn.running_var",
      "target": "feat_extractor.6.2.hor_bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.hor_bn.weight",
      "target": "feat_extractor.6.2.hor_bn.weight"
    },
    {
      "expected_shape": [
        512,
        512,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.hor_conv.weight",
      "target": "feat_extractor.6.2.hor_conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.rbr_identity.bias",
      "target": "feat_extractor.6.2.rbr_identity.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.rbr_identity.running_mean",
      "target": "feat_extractor.6.2.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.rbr_identity.running_var",
      "target": "feat_extractor.6.2.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.2.rbr_identity.weight",
      "target": "feat_extractor.6.2.rbr_identity.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.bn.bias",
      "target": "feat_extractor.6.3.bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.bn.running_mean",
      "target": "feat_extractor.6.3.bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.bn.running_var",
      "target": "feat_extractor.6.3.bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.bn.weight",
      "target": "feat_extractor.6.3.bn.weight"
    },
    {
      "expected_shape": [
        512,
        512,
        3,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.conv.weight",
      "target": "feat_extractor.6.3.conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.hor_bn.bias",
      "target": "feat_extractor.6.3.hor_bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.hor_bn.running_mean",
      "target": "feat_extractor.6.3.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.hor_bn.running_var",
      "target": "feat_extractor.6.3.hor_bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.hor_bn.weight",
      "target": "feat_extractor.6.3.hor_bn.weight"
    },
    {
      "expected_shape": [
        512,
        512,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.hor_conv.weight",
      "target": "feat_extractor.6.3.hor_conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.rbr_identity.bias",
      "target": "feat_extractor.6.3.rbr_identity.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.rbr_identity.running_mean",
      "target": "feat_extractor.6.3.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.rbr_identity.running_var",
      "target": "feat_extractor.6.3.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.3.rbr_identity.weight",
      "target": "feat_extractor.6.3.rbr_identity.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.bn.bias",
      "target": "feat_extractor.6.4.bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.bn.running_mean",
      "target": "feat_extractor.6.4.bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.bn.running_var",
      "target": "feat_extractor.6.4.bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.bn.weight",
      "target": "feat_extractor.6.4.bn.weight"
    },
    {
      "expected_shape": [
        512,
        512,
        1,
        3
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.conv.weight",
      "target": "feat_extractor.6.4.conv.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.rbr_identity.bias",
      "target": "feat_extractor.6.4.rbr_identity.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.rbr_identity.running_mean",
      "target": "feat_extractor.6.4.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.rbr_identity.running_var",
      "target": "feat_extractor.6.4.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.rbr_identity.weight",
      "target": "feat_extractor.6.4.rbr_identity.weight"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.ver_bn.bias",
      "target": "feat_extractor.6.4.ver_bn.bias"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.ver_bn.running_mean",
      "target": "feat_extractor.6.4.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.ver_bn.running_var",
      "target": "feat_extractor.6.4.ver_bn.running_var"
    },
    {
      "expected_shape": [
        512
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.ver_bn.weight",
      "target": "feat_extractor.6.4.ver_bn.weight"
    },
    {
      "expected_shape": [
        512,
        512,
        1,
        1
      ],
      "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose",
      "source": "feat_extractor.6.4.ver_conv.weight",
      "target": "feat_extractor.6.4.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.bn.bias",
      "target": "neck.reduction.0.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.bn.running_mean",
      "target": "neck.reduction.0.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.bn.running_var",
      "target": "neck.reduction.0.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.bn.weight",
      "target": "neck.reduction.0.bn.weight"
    },
    {
      "expected_shape": [
        128,
        64,
        3,
        3
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.conv.weight",
      "target": "neck.reduction.0.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.hor_bn.bias",
      "target": "neck.reduction.0.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.hor_bn.running_mean",
      "target": "neck.reduction.0.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.hor_bn.running_var",
      "target": "neck.reduction.0.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.hor_bn.weight",
      "target": "neck.reduction.0.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        64,
        1,
        3
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.hor_conv.weight",
      "target": "neck.reduction.0.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.ver_bn.bias",
      "target": "neck.reduction.0.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.ver_bn.running_mean",
      "target": "neck.reduction.0.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.ver_bn.running_var",
      "target": "neck.reduction.0.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.ver_bn.weight",
      "target": "neck.reduction.0.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        64,
        3,
        1
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.0.ver_conv.weight",
      "target": "neck.reduction.0.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.bn.bias",
      "target": "neck.reduction.1.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.bn.running_mean",
      "target": "neck.reduction.1.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.bn.running_var",
      "target": "neck.reduction.1.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.bn.weight",
      "target": "neck.reduction.1.bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        3
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.conv.weight",
      "target": "neck.reduction.1.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.hor_bn.bias",
      "target": "neck.reduction.1.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.hor_bn.running_mean",
      "target": "neck.reduction.1.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.hor_bn.running_var",
      "target": "neck.reduction.1.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.hor_bn.weight",
      "target": "neck.reduction.1.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        1,
        3
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.hor_conv.weight",
      "target": "neck.reduction.1.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.rbr_identity.bias",
      "target": "neck.reduction.1.rbr_identity.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.rbr_identity.running_mean",
      "target": "neck.reduction.1.rbr_identity.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.rbr_identity.running_var",
      "target": "neck.reduction.1.rbr_identity.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.rbr_identity.weight",
      "target": "neck.reduction.1.rbr_identity.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.ver_bn.bias",
      "target": "neck.reduction.1.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.ver_bn.running_mean",
      "target": "neck.reduction.1.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.ver_bn.running_var",
      "target": "neck.reduction.1.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.ver_bn.weight",
      "target": "neck.reduction.1.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        128,
        3,
        1
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.1.ver_conv.weight",
      "target": "neck.reduction.1.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.bn.bias",
      "target": "neck.reduction.2.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.bn.running_mean",
      "target": "neck.reduction.2.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.bn.running_var",
      "target": "neck.reduction.2.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.bn.weight",
      "target": "neck.reduction.2.bn.weight"
    },
    {
      "expected_shape": [
        128,
        256,
        3,
        3
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.conv.weight",
      "target": "neck.reduction.2.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.hor_bn.bias",
      "target": "neck.reduction.2.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.hor_bn.running_mean",
      "target": "neck.reduction.2.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.hor_bn.running_var",
      "target": "neck.reduction.2.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.hor_bn.weight",
      "target": "neck.reduction.2.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        256,
        1,
        3
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.hor_conv.weight",
      "target": "neck.reduction.2.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.ver_bn.bias",
      "target": "neck.reduction.2.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.ver_bn.running_mean",
      "target": "neck.reduction.2.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.ver_bn.running_var",
      "target": "neck.reduction.2.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.ver_bn.weight",
      "target": "neck.reduction.2.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        256,
        3,
        1
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.2.ver_conv.weight",
      "target": "neck.reduction.2.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.bn.bias",
      "target": "neck.reduction.3.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.bn.running_mean",
      "target": "neck.reduction.3.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.bn.running_var",
      "target": "neck.reduction.3.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.bn.weight",
      "target": "neck.reduction.3.bn.weight"
    },
    {
      "expected_shape": [
        128,
        512,
        3,
        3
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.conv.weight",
      "target": "neck.reduction.3.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.hor_bn.bias",
      "target": "neck.reduction.3.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.hor_bn.running_mean",
      "target": "neck.reduction.3.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.hor_bn.running_var",
      "target": "neck.reduction.3.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.hor_bn.weight",
      "target": "neck.reduction.3.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        512,
        1,
        3
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.hor_conv.weight",
      "target": "neck.reduction.3.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.ver_bn.bias",
      "target": "neck.reduction.3.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.ver_bn.running_mean",
      "target": "neck.reduction.3.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.ver_bn.running_var",
      "target": "neck.reduction.3.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.ver_bn.weight",
      "target": "neck.reduction.3.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        512,
        3,
        1
      ],
      "notes": "FAST neck tensor copied from PyTorch without transpose",
      "source": "neck.reduction.3.ver_conv.weight",
      "target": "neck.reduction.3.ver_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.bn.bias",
      "target": "prob_head.0.bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.bn.running_mean",
      "target": "prob_head.0.bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.bn.running_var",
      "target": "prob_head.0.bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.bn.weight",
      "target": "prob_head.0.bn.weight"
    },
    {
      "expected_shape": [
        128,
        512,
        3,
        3
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.conv.weight",
      "target": "prob_head.0.conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.hor_bn.bias",
      "target": "prob_head.0.hor_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.hor_bn.running_mean",
      "target": "prob_head.0.hor_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.hor_bn.running_var",
      "target": "prob_head.0.hor_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.hor_bn.weight",
      "target": "prob_head.0.hor_bn.weight"
    },
    {
      "expected_shape": [
        128,
        512,
        1,
        3
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.hor_conv.weight",
      "target": "prob_head.0.hor_conv.weight"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.ver_bn.bias",
      "target": "prob_head.0.ver_bn.bias"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.ver_bn.running_mean",
      "target": "prob_head.0.ver_bn.running_mean"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.ver_bn.running_var",
      "target": "prob_head.0.ver_bn.running_var"
    },
    {
      "expected_shape": [
        128
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.ver_bn.weight",
      "target": "prob_head.0.ver_bn.weight"
    },
    {
      "expected_shape": [
        128,
        512,
        3,
        1
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.0.ver_conv.weight",
      "target": "prob_head.0.ver_conv.weight"
    },
    {
      "expected_shape": [
        1,
        128,
        1,
        1
      ],
      "notes": "FAST probability-head tensor copied from PyTorch without transpose",
      "source": "prob_head.2.weight",
      "target": "prob_head.2.weight"
    }
  ]
}