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AMD-Hummingbird-T2V

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AMD 1.33k

• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_07B.TemporalConvBlock",
• "torch.nn.modules.normalization.GroupNorm",
• "torch._utils._rebuild_parameter",
• "lvdm.modules.networks.ae_modules.Encoder",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.list",
• "collections.OrderedDict",
• "lvdm.models.ddpm3d.LatentDiffusion",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_07B.TimestepEmbedSequential",
• "lvdm.modules.attention.CrossAttention",
• "__builtin__.dict",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_07B.UNetModel",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_07B.Downsample",
• "torch.device",
• "torch.nn.modules.activation.GELU",
• "lvdm.modules.networks.ae_modules.ResnetBlock",
• "__builtin__.long",
• "collections.defaultdict",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.conv.Conv1d",
• "lvdm.modules.attention.FeedForward",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_07B.Upsample",
• "lvdm.modules.attention.SpatialTransformer",
• "torch.nn.modules.container.Sequential",
• "lvdm.modules.attention.TemporalTransformer",
• "torch.nn.modules.module.Module",
• "lvdm.basics.disabled_train",
• "open_clip.transformer.Transformer",
• "omegaconf.dictconfig.DictConfig",
• "lvdm.models.ddpm3d.DiffusionWrapper",
• "torch.nn.modules.linear.Linear",
• "torch.distributed._shard.sharded_tensor.state_dict_hook",
• "open_clip.transformer.ResidualAttentionBlock",
• "__builtin__.getattr",
• "torch.nn.modules.activation.MultiheadAttention",
• "lvdm.modules.encoders.condition.FrozenOpenCLIPEmbedder",
• "omegaconf.listconfig.ListConfig",
• "omegaconf.nodes.AnyNode",
• "lvdm.modules.networks.ae_modules.AttnBlock",
• "torch.nn.modules.linear.Identity",
• "torch.distributed._shard.sharded_tensor.pre_load_state_dict_hook",
• "__builtin__.set",
• "torch.FloatStorage",
• "lvdm.basics.GroupNormSpecific",
• "lvdm.modules.attention.GEGLU",
• "torch.float32",
• "lvdm.modules.attention.BasicTransformerBlock",
• "lvdm.models.autoencoder.AutoencoderKL",
• "lvdm.modules.networks.ae_modules.Decoder",
• "torch.nn.modules.module._WrappedHook",
• "torch.nn.modules.conv.Conv3d",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.conv.Conv2d",
• "open_clip.transformer.LayerNorm",
• "omegaconf.base.Metadata",
• "typing.Any",
• "lvdm.modules.networks.ae_modules.Downsample",
• "lvdm.modules.networks.ae_modules.Upsample",
• "open_clip.model.CLIP",
• "omegaconf.base.ContainerMetadata",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_07B.ResBlock",
• "torch.nn.modules.sparse.Embedding"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_09B.ResBlock",
• "torch.nn.modules.normalization.GroupNorm",
• "torch._utils._rebuild_parameter",
• "lvdm.modules.networks.ae_modules.Encoder",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.list",
• "collections.OrderedDict",
• "lvdm.models.ddpm3d.LatentDiffusion",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_09B.TemporalConvBlock",
• "lvdm.modules.attention.CrossAttention",
• "__builtin__.dict",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_09B.UNetModel",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_09B.TimestepEmbedSequential",
• "torch.device",
• "torch.nn.modules.activation.GELU",
• "lvdm.modules.networks.ae_modules.ResnetBlock",
• "__builtin__.long",
• "collections.defaultdict",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.conv.Conv1d",
• "lvdm.modules.attention.FeedForward",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_09B.Downsample",
• "lvdm.modules.attention.SpatialTransformer",
• "torch.nn.modules.container.Sequential",
• "lvdm.modules.attention.TemporalTransformer",
• "torch.nn.modules.module.Module",
• "lvdm.basics.disabled_train",
• "lvdm.modules.networks.openaimodel3d_t2v_jun_09B.Upsample",
• "omegaconf.dictconfig.DictConfig",
• "lvdm.models.ddpm3d.DiffusionWrapper",
• "open_clip.transformer.Transformer",
• "torch.nn.modules.linear.Linear",
• "torch.distributed._shard.sharded_tensor.state_dict_hook",
• "open_clip.transformer.ResidualAttentionBlock",
• "__builtin__.getattr",
• "torch.nn.modules.activation.MultiheadAttention",
• "lvdm.modules.encoders.condition.FrozenOpenCLIPEmbedder",
• "omegaconf.listconfig.ListConfig",
• "omegaconf.nodes.AnyNode",
• "lvdm.modules.networks.ae_modules.AttnBlock",
• "torch.nn.modules.linear.Identity",
• "torch.distributed._shard.sharded_tensor.pre_load_state_dict_hook",
• "__builtin__.set",
• "torch.FloatStorage",
• "lvdm.basics.GroupNormSpecific",
• "lvdm.modules.attention.GEGLU",
• "torch.float32",
• "lvdm.modules.attention.BasicTransformerBlock",
• "lvdm.models.autoencoder.AutoencoderKL",
• "lvdm.modules.networks.ae_modules.Decoder",
• "torch.nn.modules.module._WrappedHook",
• "torch.nn.modules.conv.Conv3d",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.conv.Conv2d",
• "open_clip.transformer.LayerNorm",
• "omegaconf.base.Metadata",
• "typing.Any",
• "lvdm.modules.networks.ae_modules.Downsample",
• "lvdm.modules.networks.ae_modules.Upsample",
• "open_clip.model.CLIP",
• "omegaconf.base.ContainerMetadata",
• "torch.nn.modules.sparse.Embedding"

How to fix it?