chavezoscar009

/

lyra_models

like 0

• "collections.defaultdict",
• "nflows.transforms.base.CompositeTransform",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.Size",
• "torch.nn.modules.linear.Identity",
• "builtins.dict",
• "nflows.distributions.normal.StandardNormal",
• "torch.storage._load_from_bytes",
• "sbi.neural_nets.net_builders.flow.ContextSplineMap",
• "sbi.utils.torchutils.BoxUniform",
• "nflows.flows.base.Flow",
• "sbi.inference.trainers.npe.npe_c.NPE_C",
• "sbi.neural_nets.estimators.nflows_flow.NFlowsFlow",
• "nflows.transforms.standard.PointwiseAffineTransform",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "sbi.utils.sbiutils.Standardize",
• "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
• "torch.distributions.uniform.Uniform",
• "torch.optim.adam.Adam",
• "torch.nn.modules.container.ModuleList"

How to fix it?

• "torch.nn.modules.linear.Identity",
• "builtins.dict",
• "sbi.utils.torchutils.BoxUniform",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Linear",
• "nflows.transforms.standard.PointwiseAffineTransform",
• "sbi.neural_nets.net_builders.flow.ContextSplineMap",
• "torch.nn.modules.activation.ReLU",
• "nflows.distributions.normal.StandardNormal",
• "torch.distributions.uniform.Uniform",
• "torch._utils._rebuild_tensor_v2",
• "torch.Size",
• "torch.optim.adam.Adam",
• "sbi.inference.trainers.npe.npe_c.NPE_C",
• "torch._utils._rebuild_parameter",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.container.ModuleList",
• "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
• "sbi.utils.sbiutils.Standardize",
• "nflows.flows.base.Flow",
• "sbi.neural_nets.estimators.nflows_flow.NFlowsFlow",
• "collections.defaultdict",
• "nflows.transforms.base.CompositeTransform"

How to fix it?

• "builtins.dict",
• "sbi.neural_nets.net_builders.flow.ContextSplineMap",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "torch.optim.adam.Adam",
• "torch.nn.modules.container.Sequential",
• "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
• "torch.Size",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.ModuleList",
• "nflows.transforms.base.CompositeTransform",
• "sbi.utils.sbiutils.Standardize",
• "torch.distributions.uniform.Uniform",
• "sbi.utils.torchutils.BoxUniform",
• "collections.defaultdict",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "nflows.transforms.standard.PointwiseAffineTransform",
• "torch.storage._load_from_bytes",
• "sbi.neural_nets.estimators.nflows_flow.NFlowsFlow",
• "nflows.distributions.normal.StandardNormal",
• "nflows.flows.base.Flow",
• "sbi.inference.trainers.npe.npe_c.NPE_C"

How to fix it?

• "torch.storage._load_from_bytes",
• "nflows.flows.base.Flow",
• "sbi.neural_nets.net_builders.flow.ContextSplineMap",
• "torch.nn.modules.container.ModuleList",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "nflows.transforms.standard.PointwiseAffineTransform",
• "torch.optim.adam.Adam",
• "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
• "torch.distributions.uniform.Uniform",
• "nflows.distributions.normal.StandardNormal",
• "torch.Size",
• "sbi.inference.trainers.npe.npe_c.NPE_C",
• "sbi.utils.sbiutils.Standardize",
• "collections.OrderedDict",
• "builtins.dict",
• "nflows.transforms.base.CompositeTransform",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Identity",
• "sbi.utils.torchutils.BoxUniform",
• "collections.defaultdict",
• "torch._utils._rebuild_parameter",
• "sbi.neural_nets.estimators.nflows_flow.NFlowsFlow"

How to fix it?

• "torch.storage._load_from_bytes",
• "sbi.neural_nets.net_builders.flow.ContextSplineMap",
• "sbi.utils.sbiutils.Standardize",
• "sbi.inference.trainers.npe.npe_c.NPE_C",
• "torch.nn.modules.container.Sequential",
• "nflows.flows.base.Flow",
• "sbi.neural_nets.estimators.nflows_flow.NFlowsFlow",
• "torch._utils._rebuild_tensor_v2",
• "nflows.transforms.standard.PointwiseAffineTransform",
• "torch.nn.modules.activation.ReLU",
• "builtins.dict",
• "collections.defaultdict",
• "torch.Size",
• "torch.optim.adam.Adam",
• "sbi.utils.torchutils.BoxUniform",
• "torch.distributions.uniform.Uniform",
• "torch.nn.modules.linear.Identity",
• "nflows.distributions.normal.StandardNormal",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Linear",
• "nflows.transforms.base.CompositeTransform",
• "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform"

How to fix it?

• "torch.distributions.uniform.Uniform",
• "torch.Size",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "torch._utils._rebuild_parameter",
• "sbi.inference.trainers.npe.npe_c.NPE_C",
• "sbi.utils.sbiutils.Standardize",
• "torch.nn.modules.container.ModuleList",
• "torch.storage._load_from_bytes",
• "torch.optim.adam.Adam",
• "nflows.transforms.base.CompositeTransform",
• "sbi.utils.torchutils.BoxUniform",
• "nflows.transforms.standard.PointwiseAffineTransform",
• "collections.defaultdict",
• "builtins.dict",
• "nflows.distributions.normal.StandardNormal",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Identity",
• "sbi.neural_nets.estimators.nflows_flow.NFlowsFlow",
• "nflows.flows.base.Flow",
• "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
• "torch.nn.modules.linear.Linear",
• "sbi.neural_nets.net_builders.flow.ContextSplineMap",
• "torch.nn.modules.activation.ReLU"

How to fix it?