astroshawn

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SpecCLIP

like 0

• "builtins.getattr",
• "sbi.inference.trainers.npe.npe_c.NPE_C",
• "nflows.transforms.standard.PointwiseAffineTransform",
• "nflows.transforms.autoregressive.MaskedAffineAutoregressiveTransform",
• "torch.nn.modules.container.ModuleList",
• "nflows.transforms.made.MaskedFeedforwardBlock",
• "torch._C._VariableFunctionsClass",
• "torch.nn.modules.linear.Identity",
• "sbi.utils.torchutils.BoxUniform",
• "nflows.transforms.base.CompositeTransform",
• "torch.Size",
• "torch.distributions.uniform.Uniform",
• "torch.storage._load_from_bytes",
• "nflows.transforms.made.MADE",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.container.Sequential",
• "sbi.utils.sbiutils.Standardize",
• "nflows.flows.base.Flow",
• "nflows.distributions.normal.StandardNormal",
• "sbi.neural_nets.estimators.nflows_flow.NFlowsFlow",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "nflows.transforms.made.MaskedLinear",
• "torch.nn.modules.linear.Linear",
• "nflows.transforms.permutations.RandomPermutation",
• "torch._utils._rebuild_parameter"

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