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| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
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| { |
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| { |
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| 1 |
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| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
| "source": "feat_extractor.3.4.conv.weight", |
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| }, |
| { |
| "expected_shape": [ |
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| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
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| }, |
| { |
| "expected_shape": [ |
| 64 |
| ], |
| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
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| "target": "feat_extractor.3.4.hor_bn.running_mean" |
| }, |
| { |
| "expected_shape": [ |
| 64 |
| ], |
| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
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| }, |
| { |
| "expected_shape": [ |
| 64 |
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| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
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| { |
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| 64, |
| 1, |
| 1 |
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| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
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| }, |
| { |
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| }, |
| { |
| "expected_shape": [ |
| 64 |
| ], |
| "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 |
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| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
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| }, |
| { |
| "expected_shape": [ |
| 64 |
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| "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", |
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| "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", |
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| }, |
| { |
| "expected_shape": [ |
| 64 |
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| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
| "source": "feat_extractor.3.5.bn.running_var", |
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| }, |
| { |
| "expected_shape": [ |
| 64 |
| ], |
| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
| "source": "feat_extractor.3.5.bn.weight", |
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| { |
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| 64, |
| 64, |
| 3, |
| 3 |
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| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
| "source": "feat_extractor.3.5.conv.weight", |
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| }, |
| { |
| "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" |
| }, |
| { |
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| 64, |
| 64, |
| 1, |
| 3 |
| ], |
| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
| "source": "feat_extractor.3.5.hor_conv.weight", |
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| }, |
| { |
| "expected_shape": [ |
| 64 |
| ], |
| "notes": "TextNet base feature-extractor tensor copied from PyTorch without transpose", |
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| "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 |
| ], |
| "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 |
| ], |
| "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", |
| "target": "feat_extractor.5.0.hor_conv.weight" |
| }, |
| { |
| "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", |
| "target": "feat_extractor.5.4.rbr_identity.weight" |
| }, |
| { |
| "expected_shape": [ |
| 256 |
| ], |
| "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": [ |
| 256 |
| ], |
| "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 |
| ], |
| "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 |
| ], |
| "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 |
| ], |
| "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", |
| "target": "feat_extractor.5.5.hor_conv.weight" |
| }, |
| { |
| "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 |
| ], |
| "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 |
| ], |
| "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 |
| ], |
| "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 |
| ], |
| "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" |
| } |
| ] |
| } |
|
|
