bi0s

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temp

like 0

• "tabasco.models.components.transformer_module.TransformerModule",
• "torch.nn.modules.activation.SiLU",
• "tabasco.sample.noise_schedule.SampleNoiseSchedule",
• "torch._C._nn.gelu",
• "tabasco.models.components.attention.AttentionBlock",
• "collections.defaultdict",
• "omegaconf.base.ContainerMetadata",
• "tabasco.flow.interpolate.SDEMetricInterpolant",
• "tabasco.models.components.transformer.Transformer",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.distributions.dirichlet.Dirichlet",
• "torch.nn.modules.transformer.TransformerDecoderLayer",
• "__builtin__.long",
• "torch._utils._rebuild_parameter",
• "tabasco.models.components.positional_encoder.TimeFourierEncoding",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.loss.MSELoss",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.nn.modules.sparse.Embedding",
• "__builtin__.list",
• "tabasco.flow.interpolate.DiscreteInterpolant",
• "torch.distributions.beta.Beta",
• "tabasco.models.components.transition.Transition",
• "omegaconf.listconfig.ListConfig",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "tabasco.models.flow_model.FlowMatchingModel",
• "torch._utils._rebuild_tensor_v2",
• "functools.partial",
• "tabasco.flow.time_factor.InverseTimeFactor",
• "collections.OrderedDict",
• "__builtin__.dict",
• "torch.nn.functional.relu",
• "torch.Size",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.linear.Linear",
• "tabasco.models.components.attention.Attention",
• "typing.Any",
• "tabasco.models.components.positional_encoder.SinusoidEncoding",
• "tabasco.models.components.transformer.TransformerBlock",
• "torch.optim.adam.Adam",
• "torch.FloatStorage",
• "omegaconf.base.Metadata",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear"

How to fix it?

• "tabasco.models.components.transformer_module.TransformerModule",
• "torch.nn.modules.activation.SiLU",
• "tabasco.sample.noise_schedule.SampleNoiseSchedule",
• "torch._C._nn.gelu",
• "tabasco.models.components.attention.AttentionBlock",
• "collections.defaultdict",
• "omegaconf.base.ContainerMetadata",
• "tabasco.flow.interpolate.SDEMetricInterpolant",
• "tabasco.models.components.transformer.Transformer",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.distributions.dirichlet.Dirichlet",
• "torch.nn.modules.transformer.TransformerDecoderLayer",
• "__builtin__.long",
• "torch._utils._rebuild_parameter",
• "tabasco.models.components.positional_encoder.TimeFourierEncoding",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.loss.MSELoss",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.nn.modules.sparse.Embedding",
• "__builtin__.list",
• "tabasco.flow.interpolate.DiscreteInterpolant",
• "torch.distributions.beta.Beta",
• "tabasco.models.components.transition.Transition",
• "omegaconf.listconfig.ListConfig",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "tabasco.models.flow_model.FlowMatchingModel",
• "torch._utils._rebuild_tensor_v2",
• "functools.partial",
• "tabasco.flow.time_factor.InverseTimeFactor",
• "collections.OrderedDict",
• "__builtin__.dict",
• "torch.nn.functional.relu",
• "torch.Size",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.linear.Linear",
• "tabasco.models.components.attention.Attention",
• "typing.Any",
• "tabasco.models.components.positional_encoder.SinusoidEncoding",
• "tabasco.models.components.transformer.TransformerBlock",
• "torch.optim.adam.Adam",
• "torch.FloatStorage",
• "omegaconf.base.Metadata",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear"

How to fix it?