AIRI-Institute

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AIRI - Artificial Intelligence Research Institute 70

• "__torch__.farl.network.farl.model2_release.LayerNorm",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.linear.___torch_mangle_0.Linear",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_6.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.conv.ConvTranspose2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.farl.network.mmseg.___torch_mangle_13.ConvModule",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.container.___torch_mangle_2.ModuleList",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
• "__torch__.farl.network.mmseg.ConvModule",
• "__torch__.farl.network.mmseg.UPerHead",
• "__torch__.torch.nn.modules.activation.GELU",
• "__torch__.farl.network.mmseg.___torch_mangle_20.ConvModule",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.farl.network.farl.model2_release.VisualTransformer",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "__torch__.torch.nn.modules.container.___torch_mangle_9.Sequential",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.container.ModuleList",
• "__torch__.farl.network.mmseg.PPM",
• "__torch__.farl.network.farl.model2_release.Transformer",
• "__torch__.torch.nn.modules.dropout.Dropout2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_7.Sequential",
• "__torch__.farl.network.farl.model2_release.ResidualAttentionBlock",
• "__torch__.farl.network.transformers.FaRLVisualFeatures",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.container.___torch_mangle_1.Sequential",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_10.AdaptiveAvgPool2d",
• "__torch__.blueprint.ml.state_processors.jit.BatchNormXd",
• "__torch__.torch.nn.modules.container.___torch_mangle_11.Sequential",
• "__torch__.torch.nn.modules.linear.Identity",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.farl.network.farl.model2_release.QuickGELU",
• "__torch__.farl.network.mmseg.MMSEG_UPerHead",
• "__torch__.torch.nn.modules.container.___torch_mangle_18.ModuleList",
• "__torch__.torch.nn.modules.container.___torch_mangle_15.ModuleList",
• "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "__torch__.farl.network.common.ReLUandClone",
• "__torch__.farl.network.mmseg.___torch_mangle_14.ConvModule",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.pooling.MaxPool2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_5.Sequential",
• "__torch__.torch.nn.modules.pooling.___torch_mangle_8.AdaptiveAvgPool2d",
• "__torch__.farl.experiments.face_parsing.network.FaceParsingTransformer",
• "__torch__.torch.nn.modules.activation.MultiheadAttention",
• "__torch__.farl.network.mmseg.___torch_mangle_17.ConvModule"

How to fix it?

• "numpy.dtype",
• "dnnlib.util.EasyDict",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "collections.OrderedDict",
• "builtins.set",
• "numpy.core.multiarray.scalar",
• "torch._utils._rebuild_tensor_v2",
• "torch._utils._rebuild_parameter",
• "torch.storage._load_from_bytes"

How to fix it?