grandiflorum

/

LithoSim

like 1

• "collections.OrderedDict",
• "torch.nn.modules.normalization.GroupNorm",
• "src.models.components.attention_net.ChunkedValueCrossAttn",
• "src.models.components.attention_net.ChunkedPosCrossAttn",
• "torch.nn.modules.linear.Linear",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.GELU",
• "src.models.components.basic_net.Decoder",
• "typing.Any",
• "src.models.losses.loss.LithoLoss",
• "torch.nn.modules.conv.Conv2d",
• "__builtin__.set",
• "torch.nn.modules.normalization.LayerNorm",
• "__builtin__.dict",
• "src.models.components.cfno_fused_net.CFNO",
• "omegaconf.listconfig.ListConfig",
• "torch.FloatStorage",
• "torch.nn.modules.dropout.Dropout",
• "torch.optim.adam.Adam",
• "src.models.components.basic_net.Encoder",
• "src.models.components.basic_net.ResnetBlock",
• "torch.optim.lr_scheduler.ReduceLROnPlateau",
• "src.models.components.basic_net.AttnBlock",
• "torch.nn.modules.container.ModuleList",
• "torch.ComplexFloatStorage",
• "torch.nn.modules.module.Module",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "src.models.components.basic_net.Downsample",
• "src.models.components.basic_net.Upsample",
• "src.models.components.litho_embed_net.ChunkedLithoAttn",
• "src.models.components.litho_embed_net.ChunkedSourceCompressor",
• "collections.defaultdict",
• "omegaconf.base.Metadata",
• "__builtin__.list",
• "__builtin__.long",
• "torch.Size",
• "torch._utils._rebuild_tensor_v2",
• "src.models.components.cfno_fused_net.CFNOFusedLitho",
• "functools.partial",
• "omegaconf.base.ContainerMetadata"

How to fix it?

• "collections.OrderedDict",
• "torch.nn.modules.normalization.GroupNorm",
• "src.models.components.attention_net.ChunkedValueCrossAttn",
• "src.models.components.attention_net.ChunkedPosCrossAttn",
• "torch.nn.modules.linear.Linear",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.GELU",
• "src.models.components.basic_net.Decoder",
• "typing.Any",
• "src.models.losses.loss.LithoLoss",
• "torch.nn.modules.normalization.LayerNorm",
• "__builtin__.set",
• "torch.nn.modules.conv.Conv2d",
• "__builtin__.dict",
• "omegaconf.listconfig.ListConfig",
• "torch.FloatStorage",
• "torch.nn.modules.dropout.Dropout",
• "torch.optim.adam.Adam",
• "src.models.components.basic_net.Encoder",
• "src.models.components.basic_net.ResnetBlock",
• "torch.optim.lr_scheduler.ReduceLROnPlateau",
• "src.models.components.basic_net.AttnBlock",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.module.Module",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "src.models.components.basic_net.Downsample",
• "src.models.components.basic_net.Upsample",
• "src.models.components.litho_embed_net.ChunkedLithoAttn",
• "src.models.components.litho_embed_net.ChunkedSourceCompressor",
• "collections.defaultdict",
• "omegaconf.base.Metadata",
• "__builtin__.list",
• "__builtin__.long",
• "src.models.components.ed_cnn_net.EDCNNLitho",
• "torch.Size",
• "torch._utils._rebuild_tensor_v2",
• "functools.partial",
• "omegaconf.base.ContainerMetadata"

How to fix it?

• "collections.OrderedDict",
• "torch.nn.modules.normalization.GroupNorm",
• "src.models.components.basic_net.Block",
• "src.models.components.ed_trans_net.EDTransLitho",
• "src.models.components.attention_net.ChunkedValueCrossAttn",
• "src.models.components.attention_net.ChunkedPosCrossAttn",
• "torch.nn.modules.linear.Linear",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.GELU",
• "src.models.components.basic_net.Decoder",
• "typing.Any",
• "src.models.components.basic_net.Attention",
• "src.models.losses.loss.LithoLoss",
• "torch.nn.modules.conv.Conv2d",
• "__builtin__.set",
• "torch.nn.modules.normalization.LayerNorm",
• "__builtin__.dict",
• "omegaconf.listconfig.ListConfig",
• "torch.FloatStorage",
• "torch.nn.modules.dropout.Dropout",
• "torch.optim.adam.Adam",
• "src.models.components.basic_net.ResnetBlock",
• "src.models.components.basic_net.LayerNorm2d",
• "torch.optim.lr_scheduler.ReduceLROnPlateau",
• "src.models.components.basic_net.AttnBlock",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.module.Module",
• "src.models.components.basic_net.ImageEncoderViT",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "src.models.components.basic_net.Downsample",
• "src.models.components.basic_net.Upsample",
• "src.models.components.litho_embed_net.ChunkedLithoAttn",
• "src.models.components.litho_embed_net.ChunkedSourceCompressor",
• "collections.defaultdict",
• "omegaconf.base.Metadata",
• "src.models.components.basic_net.MLPBlock",
• "__builtin__.list",
• "src.models.components.basic_net.PatchEmbed",
• "__builtin__.long",
• "torch.Size",
• "torch._utils._rebuild_tensor_v2",
• "functools.partial",
• "omegaconf.base.ContainerMetadata"

How to fix it?

• "collections.OrderedDict",
• "torch.nn.modules.normalization.GroupNorm",
• "src.models.components.attention_net.ChunkedValueCrossAttn",
• "src.models.components.attention_net.ChunkedPosCrossAttn",
• "torch.nn.modules.linear.Linear",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.GELU",
• "src.models.components.basic_net.Decoder",
• "typing.Any",
• "src.models.losses.loss.LithoLoss",
• "torch.nn.modules.conv.Conv2d",
• "__builtin__.set",
• "torch.nn.modules.normalization.LayerNorm",
• "__builtin__.dict",
• "omegaconf.listconfig.ListConfig",
• "torch.FloatStorage",
• "torch.nn.modules.dropout.Dropout",
• "torch.optim.adam.Adam",
• "src.models.components.mfno_fused_net.MFNO",
• "src.models.components.mfno_fused_net.MFNOFusedLitho",
• "src.models.components.basic_net.Encoder",
• "src.models.components.basic_net.ResnetBlock",
• "torch.optim.lr_scheduler.ReduceLROnPlateau",
• "src.models.components.basic_net.AttnBlock",
• "torch.nn.modules.container.ModuleList",
• "torch.ComplexFloatStorage",
• "torch.nn.modules.module.Module",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "src.models.components.basic_net.Downsample",
• "src.models.components.basic_net.Upsample",
• "torch.nn.modules.activation.ReLU",
• "src.models.components.litho_embed_net.ChunkedLithoAttn",
• "src.models.components.litho_embed_net.ChunkedSourceCompressor",
• "collections.defaultdict",
• "torch.LongStorage",
• "omegaconf.base.Metadata",
• "__builtin__.list",
• "__builtin__.long",
• "torch.Size",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "functools.partial",
• "omegaconf.base.ContainerMetadata"

How to fix it?

• "collections.OrderedDict",
• "torch.nn.modules.normalization.GroupNorm",
• "src.models.components.doinn_fused_net.RFNO",
• "src.models.components.attention_net.ChunkedValueCrossAttn",
• "src.models.components.attention_net.ChunkedPosCrossAttn",
• "torch.nn.modules.linear.Linear",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.GELU",
• "src.models.components.basic_net.Decoder",
• "typing.Any",
• "src.models.losses.loss.LithoLoss",
• "torch.nn.modules.normalization.LayerNorm",
• "__builtin__.set",
• "torch.nn.modules.conv.Conv2d",
• "__builtin__.dict",
• "omegaconf.listconfig.ListConfig",
• "torch.FloatStorage",
• "torch.nn.modules.dropout.Dropout",
• "torch.optim.adam.Adam",
• "src.models.components.basic_net.Encoder",
• "src.models.components.basic_net.ResnetBlock",
• "torch.optim.lr_scheduler.ReduceLROnPlateau",
• "src.models.components.basic_net.AttnBlock",
• "torch.nn.modules.container.ModuleList",
• "torch.ComplexFloatStorage",
• "torch.nn.modules.module.Module",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "src.models.components.basic_net.Downsample",
• "src.models.components.basic_net.Upsample",
• "src.models.components.litho_embed_net.ChunkedLithoAttn",
• "src.models.components.litho_embed_net.ChunkedSourceCompressor",
• "collections.defaultdict",
• "omegaconf.base.Metadata",
• "__builtin__.list",
• "__builtin__.long",
• "torch.Size",
• "src.models.components.doinn_fused_net.RFNOFusedLitho",
• "torch._utils._rebuild_tensor_v2",
• "functools.partial",
• "omegaconf.base.ContainerMetadata"

How to fix it?