Spaces:

---

luxmorocco

/

Doctoria_CXR

like 0

Build error

• "__main__.VBDDataset",
• "numpy.dtype",
• "torchvision.models.detection.faster_rcnn.TwoMLPHead",
• "fsspec.spec.make_instance",
• "pandas.core.indexes.base.Index",
• "pytorch_lightning.trainer.connectors.debugging_connector.DebuggingConnector",
• "torchvision.models._utils.IntermediateLayerGetter",
• "pytorch_lightning.plugins.precision.native_amp.NativeMixedPrecisionPlugin",
• "__builtin__.dict",
• "pytorch_lightning.tuner.tuning.Tuner",
• "pytorch_lightning.utilities.warnings.WarningCache",
• "pytorch_lightning.loggers.tensorboard.TensorBoardLogger",
• "pytorch_lightning.trainer.connectors.accelerator_connector.AcceleratorConnector",
• "torch._utils._rebuild_tensor_v2",
• "pytorch_lightning.trainer.connectors.data_connector.DataConnector",
• "pytorch_lightning.plugins.environments.torchelastic_environment.TorchElasticEnvironment",
• "pytorch_lightning.callbacks.gradient_accumulation_scheduler.GradientAccumulationScheduler",
• "albumentations.core.composition.Compose",
• "torch.utils.data.dataloader.DataLoader",
• "pytorch_lightning.trainer.connectors.training_trick_connector.TrainingTricksConnector",
• "pytorch_lightning.utilities.enums.AMPType",
• "albumentations.core.composition.BboxParams",
• "torch.nn.modules.linear.Linear",
• "pytorch_lightning.trainer.states.TrainerState",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torch.nn.modules.container.ModuleList",
• "torch.device",
• "torch.utils.data.sampler.RandomSampler",
• "pytorch_lightning.callbacks.model_checkpoint.ModelCheckpoint",
• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torch._utils._rebuild_parameter",
• "torch.optim.lr_scheduler.CosineAnnealingLR",
• "pytorch_lightning.utilities.enums.DeviceType",
• "torchvision.models.detection._utils.BoxCoder",
• "torch.nn.modules.pooling.MaxPool2d",
• "pytorch_lightning.core.step_result.Result",
• "pytorch_lightning.trainer.supporters.CombinedLoader",
• "numpy.mean",
• "collections.OrderedDict",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "pytorch_lightning.trainer.trainer.Trainer",
• "torchvision.models.resnet.Bottleneck",
• "pytorch_lightning.trainer.connectors.slurm_connector.SLURMConnector",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch.nn.modules.activation.ReLU",
• "pytorch_lightning.trainer.connectors.optimizer_connector.OptimizerConnector",
• "torchvision.ops.misc.FrozenBatchNorm2d",
• "fsspec.implementations.local.LocalFileSystem",
• "pytorch_lightning.trainer.supporters.TensorRunningAccum",
• "pytorch_lightning.utilities.parsing.AttributeDict",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "pytorch_lightning.trainer.connectors.callback_connector.CallbackConnector",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "pytorch_lightning.plugins.training_type.single_device.SingleDevicePlugin",
• "__main__.VinDetector",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torch.DoubleStorage",
• "collections.defaultdict",
• "pytorch_lightning.trainer.states.RunningStage",
• "pandas.core.indexes.range.RangeIndex",
• "torch.cuda.amp.grad_scaler.GradScaler",
• "torchvision.models.detection.roi_heads.RoIHeads",
• "torchvision.ops.boxes.box_iou",
• "torch.FloatStorage",
• "pytorch_lightning.trainer.connectors.checkpoint_connector.CheckpointConnector",
• "pytorch_lightning.trainer.supporters.CombinedDataset",
• "__builtin__.slice",
• "pandas.core.frame.DataFrame",
• "pytorch_lightning.trainer.supporters.Accumulator",
• "pytorch_lightning.accelerators.gpu.GPUAccelerator",
• "pytorch_lightning.profiler.profilers.PassThroughProfiler",
• "pytorch_lightning.trainer.connectors.logger_connector.epoch_result_store.EpochResultStore",
• "pytorch_lightning.trainer.connectors.logger_connector.logger_connector.LoggerConnector",
• "pytorch_lightning.utilities.debugging.InternalDebugger",
• "numpy.ndarray",
• "torch.cuda.amp.grad_scaler._refresh_per_optimizer_state",
• "albumentations.pytorch.transforms.ToTensorV2",
• "__main__.collate_fn",
• "torch.optim.sgd.SGD",
• "pytorch_lightning.trainer.evaluation_loop.EvaluationLoop",
• "pytorch_lightning.trainer.connectors.profiler_connector.ProfilerConnector",
• "pandas.core.internals.managers.BlockManager",
• "torch.float32",
• "torchvision.models.detection.rpn.RPNHead",
• "__builtin__.set",
• "pytorch_lightning.trainer.configuration_validator.ConfigValidator",
• "pandas.core.indexes.base._new_Index",
• "pytorch_lightning.trainer.connectors.logger_connector.callback_hook_validator.CallbackHookNameValidator",
• "__builtin__.getattr",
• "torch.nn.modules.container.Sequential",
• "albumentations.augmentations.bbox_utils.BboxProcessor",
• "albumentations.core.composition.Transforms",
• "pytorch_lightning.callbacks.progress.ProgressBar",
• "pytorch_lightning.trainer.connectors.model_connector.ModelConnector",
• "torchvision.ops.poolers.LevelMapper",
• "pytorch_lightning.trainer.connectors.logger_connector.metrics_holder.MetricsHolder",
• "torchvision.models.detection._utils.Matcher",
• "numpy.core.multiarray._reconstruct",
• "torch.utils.data.sampler.BatchSampler",
• "albumentations.augmentations.transforms.Flip",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "pytorch_lightning.trainer.training_loop.TrainLoop",
• "pytorch_lightning.trainer.predict_loop.PredictLoop",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "_codecs.encode",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor"

How to fix it?