erotemic

/

shitspotter-models

like 1

• "geowatch.tasks.fusion.architectures.transformer.ResidualAttentionSequential",
• "geowatch.tasks.fusion.architectures.transformer.ResidualSequential",
• "netharn.layers.rectify.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "torchmetrics.classification.f_beta.BinaryFBetaScore",
• "torch.nn.modules.linear.Linear",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "netharn.layers.common.Sequential",
• "torch.nn.modules.container.Sequential",
• "netharn.layers.norm.InputNorm",
• "numpy.dtype",
• "torchmetrics.classification.f_beta.MulticlassFBetaScore",
• "netharn.layers.perceptron.MultiLayerPerceptronNd",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "geowatch.tasks.fusion.architectures.transformer.MultiheadSelfAttention",
• "torch.nn.modules.activation.GELU",
• "torch.float32",
• "delayed_image.sensorchan_spec.SensorChanSpec",
• "torch.LongStorage",
• "netharn.layers.rectify.Conv0d",
• "torchmetrics.utilities.data.dim_zero_sum",
• "netharn.layers.conv_norm.ConvNormNd",
• "torch.nn.modules.dropout.Dropout",
• "torchmetrics.metric.jit_distributed_available",
• "collections.OrderedDict",
• "geowatch.tasks.fusion.architectures.transformer.ChannelwiseTransformerEncoderLayer",
• "geowatch.tasks.fusion.methods.channelwise_transformer.MultimodalTransformer",
• "geowatch.tasks.fusion.methods.network_modules.RobustModuleDict",
• "geowatch.utils.ext_monai.FocalLoss",
• "numpy.core.multiarray._reconstruct",
• "ubelt.util_path.Path",
• "torch.nn.modules.container.ModuleDict",
• "builtins.set",
• "kwcoco.category_tree.CategoryTree",
• "geowatch.tasks.fusion.datamodules.kwcoco_dataset.Modality",
• "geowatch.tasks.fusion.architectures.transformer.FusionEncoder",
• "pytorch_lightning.utilities.parsing.AttributeDict",
• "numpy.ndarray",
• "geowatch.tasks.fusion.methods.network_modules.LinearConvTokenizer",
• "torch.nn.modules.normalization.LayerNorm",
• "numpy.core.multiarray.scalar",
• "torch.device",
• "geowatch.tasks.fusion.utils.SinePositionalEncoding"

How to fix it?

• "geowatch.tasks.fusion.architectures.transformer.MultiheadSelfAttention",
• "kwcoco.category_tree.CategoryTree",
• "netharn.layers.rectify.Conv2d",
• "torch.FloatStorage",
• "geowatch.tasks.fusion.architectures.transformer.ResidualAttentionSequential",
• "geowatch.tasks.fusion.architectures.transformer.FusionEncoder",
• "geowatch.tasks.fusion.architectures.transformer.ChannelwiseTransformerEncoderLayer",
• "torch.LongStorage",
• "ubelt.util_path.Path",
• "torch.float32",
• "torch._utils._rebuild_tensor_v2",
• "torchmetrics.classification.f_beta.MulticlassFBetaScore",
• "torch.nn.modules.normalization.LayerNorm",
• "delayed_image.sensorchan_spec.SensorChanSpec",
• "geowatch.tasks.fusion.methods.channelwise_transformer.MultimodalTransformer",
• "torch.nn.modules.activation.GELU",
• "numpy.ndarray",
• "geowatch.tasks.fusion.methods.network_modules.RobustModuleDict",
• "geowatch.tasks.fusion.methods.network_modules.LinearConvTokenizer",
• "netharn.layers.norm.InputNorm",
• "torchmetrics.classification.f_beta.BinaryFBetaScore",
• "torch._utils._rebuild_parameter",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.container.ModuleDict",
• "netharn.layers.perceptron.MultiLayerPerceptronNd",
• "torch.nn.modules.dropout.Dropout",
• "netharn.layers.rectify.Conv0d",
• "geowatch.tasks.fusion.utils.SinePositionalEncoding",
• "geowatch.utils.ext_monai.FocalLoss",
• "collections.OrderedDict",
• "numpy.core.multiarray.scalar",
• "geowatch.tasks.fusion.datamodules.kwcoco_dataset.Modality",
• "builtins.set",
• "pytorch_lightning.utilities.parsing.AttributeDict",
• "torch.device",
• "netharn.layers.conv_norm.ConvNormNd",
• "torch.nn.modules.linear.Linear",
• "torchmetrics.metric.jit_distributed_available",
• "netharn.layers.common.Sequential",
• "geowatch.tasks.fusion.architectures.transformer.ResidualSequential",
• "numpy.dtype",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torchmetrics.utilities.data.dim_zero_sum",
• "torch.nn.modules.activation.ReLU"

How to fix it?

• "geowatch.tasks.fusion.methods.channelwise_transformer.MultimodalTransformer",
• "torch._utils._rebuild_parameter",
• "kwcoco.category_tree.CategoryTree",
• "torch._utils._rebuild_tensor_v2",
• "geowatch.utils.util_netharn.MultiLayerPerceptronNd",
• "geowatch.tasks.fusion.utils.SinePositionalEncoding",
• "geowatch.utils.util_netharn.Conv2d",
• "pytorch_lightning.utilities.parsing.AttributeDict",
• "torch.nn.modules.container.ModuleDict",
• "torch.LongStorage",
• "geowatch.tasks.fusion.architectures.transformer.ChannelwiseTransformerEncoderLayer",
• "geowatch.tasks.fusion.architectures.transformer.ResidualSequential",
• "torch.nn.modules.dropout.Dropout",
• "geowatch.tasks.fusion.architectures.transformer.FusionEncoder",
• "builtins.set",
• "geowatch.utils.ext_monai.FocalLoss",
• "geowatch.tasks.fusion.methods.network_modules.LinearConvTokenizer",
• "torchmetrics.utilities.data.dim_zero_sum",
• "collections.OrderedDict",
• "geowatch.tasks.fusion.architectures.transformer.ResidualAttentionSequential",
• "torch.nn.modules.linear.Linear",
• "torchmetrics.classification.f_beta.BinaryFBetaScore",
• "torch.nn.modules.container.Sequential",
• "torch.device",
• "ubelt.util_path.Path",
• "torchmetrics.classification.f_beta.MulticlassFBetaScore",
• "geowatch.tasks.fusion.methods.network_modules.RobustModuleDict",
• "geowatch.utils.util_netharn.ConvNormNd",
• "numpy.core.multiarray._reconstruct",
• "geowatch.tasks.fusion.architectures.transformer.MultiheadSelfAttention",
• "torch.distributed._shard.sharded_tensor.state_dict_hook",
• "torchmetrics.metric.jit_distributed_available",
• "numpy.ndarray",
• "numpy.dtype",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.FloatStorage",
• "delayed_image.sensorchan_spec.SensorChanSpec",
• "geowatch.utils.util_netharn.InputNorm",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.activation.GELU",
• "geowatch.tasks.fusion.datamodules.kwcoco_dataset.Modality",
• "torch.float32",
• "geowatch.utils.util_netharn.Conv0d"

How to fix it?

• "geowatch.tasks.fusion.architectures.transformer.ChannelwiseTransformerEncoderLayer",
• "numpy.core.multiarray.scalar",
• "torch.float32",
• "netharn.layers.perceptron.MultiLayerPerceptronNd",
• "torch.nn.modules.linear.Linear",
• "torch.device",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.GELU",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.dropout.Dropout",
• "pytorch_lightning.utilities.parsing.AttributeDict",
• "geowatch.tasks.fusion.methods.network_modules.LinearConvTokenizer",
• "builtins.set",
• "geowatch.tasks.fusion.architectures.transformer.FusionEncoder",
• "delayed_image.sensorchan_spec.SensorChanSpec",
• "netharn.layers.rectify.Conv0d",
• "torch.nn.modules.normalization.LayerNorm",
• "geowatch.utils.ext_monai.FocalLoss",
• "numpy.ndarray",
• "torch.nn.modules.container.Sequential",
• "netharn.layers.common.Sequential",
• "torch.nn.modules.container.ModuleDict",
• "geowatch.tasks.fusion.architectures.transformer.MultiheadSelfAttention",
• "geowatch.tasks.fusion.architectures.transformer.ResidualSequential",
• "netharn.layers.rectify.Conv2d",
• "torchmetrics.classification.f_beta.MulticlassFBetaScore",
• "torchmetrics.metric.jit_distributed_available",
• "kwcoco.category_tree._calldict",
• "torchmetrics.classification.f_beta.BinaryFBetaScore",
• "numpy.dtype",
• "torch.FloatStorage",
• "geowatch.tasks.fusion.datamodules.kwcoco_dataset.Modality",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "ubelt.util_path.Path",
• "torch.LongStorage",
• "netharn.layers.norm.InputNorm",
• "kwcoco.category_tree.CategoryTree",
• "geowatch.tasks.fusion.architectures.transformer.ResidualAttentionSequential",
• "netharn.layers.conv_norm.ConvNormNd",
• "torchmetrics.utilities.data.dim_zero_sum",
• "geowatch.tasks.fusion.methods.channelwise_transformer.MultimodalTransformer",
• "collections.OrderedDict",
• "geowatch.tasks.fusion.methods.network_modules.RobustModuleDict",
• "geowatch.tasks.fusion.utils.SinePositionalEncoding",
• "torch._utils._rebuild_parameter"

How to fix it?