Zatom-AI

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Zatom-1

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Zatom-AI 3

• "typing.Any",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.linear.Identity",
• "zatom.flow.interpolants.DiscreteInterpolant",
• "zatom.flow.interpolants.SDEMetricInterpolant",
• "collections.OrderedDict",
• "zatom.models.architectures.transformer.positional_encoder.SinusoidEncoding",
• "omegaconf.base.ContainerMetadata",
• "torch.distributions.beta.Beta",
• "zatom.utils.tensor_utils.apply_mask",
• "torch.nn.modules.linear.Linear",
• "torch.optim.adamw.AdamW",
• "__builtin__.list",
• "zatom.models.architectures.transformer.common.SwiGLUFeedForward",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "torch.distributions.dirichlet.Dirichlet",
• "torch.Size",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "__builtin__.long",
• "zatom.models.architectures.tft.TFT",
• "__builtin__.dict",
• "zatom.models.architectures.transformer.transformer.ModernTransformerDecoderBlock",
• "torch.nn.modules.normalization.RMSNorm",
• "zatom.models.architectures.transformer.transformer.ModernTransformer",
• "torch.nn.modules.sparse.Embedding",
• "zatom.models.architectures.transformer.positional_encoder.TimeFourierEncoding",
• "torch.nn.modules.loss.MSELoss",
• "zatom.models.architectures.transformer.common.LabelEmbedder",
• "omegaconf.dictconfig.DictConfig",
• "omegaconf.listconfig.ListConfig",
• "torch.nn.modules.activation.SiLU",
• "functools.partial",
• "zatom.sampling.noise_schedule.SampleNoiseSchedule",
• "torch.nn.modules.normalization.LayerNorm",
• "zatom.models.architectures.transformer.common.ChargeSpinEmbedding",
• "zatom.models.architectures.transformer.transformer.ModernTransformerBlock",
• "zatom.flow.time_factor.InverseTimeFactor",
• "torch._utils._rebuild_parameter",
• "omegaconf.base.Metadata",
• "zatom.models.architectures.transformer.attention.ModernAttention",
• "zatom.utils.tensor_utils.mask_and_zero_com",
• "zatom.models.architectures.transformer.transformer_module.TransformerModule",
• "collections.defaultdict",
• "__builtin__.set",
• "torch.nn.modules.container.ModuleList"

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