ChristopherMarais

/

beetle-model

like 0

• "builtins.tuple",
• "torch.nn.modules.pooling.AdaptiveMaxPool2d",
• "numpy.core.multiarray.scalar",
• "fastai.vision.augment._WarpCoord",
• "fastai.data.transforms.parent_label",
• "fastai.data.transforms.IntToFloatTensor",
• "fastai.metrics.top_k_accuracy",
• "fastai.torch_core.TensorImage",
• "fastai.learner.AvgLoss",
• "timm.layers.activations.GELU",
• "fastcore.transform.Transform",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.data.transforms.Normalize",
• "timm.layers.norm.LayerNorm2d",
• "fastai.torch_core._rebuild_from_type",
• "fastai.layers.Flatten",
• "fastai.vision.augment.Flip",
• "fastai.vision.augment._ContrastLogit",
• "torch.nn.modules.conv.Conv2d",
• "fastai.callback.progress.ShowGraphCallback",
• "fastai.callback.tracker.SaveModelCallback",
• "fastai.learner.Learner",
• "builtins.bytes",
• "fastai.layers.AdaptiveConcatPool2d",
• "builtins.object",
• "random.Random",
• "timm.layers.squeeze_excite.SEModule",
• "timm.models.maxxvit.MaxxVitBlock",
• "pathlib.WindowsPath",
• "fastai.data.core.TfmdLists",
• "torch.FloatStorage",
• "fastcore.basics.fastuple",
• "timm.models.maxxvit.Downsample2d",
• "torch.nn.modules.activation.ReLU",
• "timm.layers.activations.Tanh",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.flatten.Flatten",
• "timm.models.maxxvit.MaxxVit",
• "timm.layers.activations.Sigmoid",
• "fastai.metrics.error_rate",
• "fastai.vision.augment.zoom_mat",
• "numpy.ndarray",
• "builtins.getattr",
• "inspect.Signature",
• "builtins.str",
• "fastai.callback.fp16.MixedPrecision",
• "functools.partial",
• "fastcore.foundation.L",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Linear",
• "fastai.vision.augment._BrightnessLogit",
• "torch.nn.modules.pooling.AvgPool2d",
• "fastai.data.transforms.CategoryMap",
• "torch._utils._rebuild_tensor_v2",
• "fastai.data.core.TfmdDL",
• "fastai.torch_core.TensorBase",
• "inspect.Parameter",
• "fastai.losses.LabelSmoothingCrossEntropy",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "inspect._empty",
• "torch.Tensor",
• "pathlib.Path",
• "fastai.learner.AvgSmoothLoss",
• "fastai.data.core.DataLoaders",
• "timm.layers.norm_act.BatchNormAct2d",
• "fastai.vision.augment.Resize",
• "fastcore.transform.Pipeline",
• "fastai.vision.augment.TensorImage.lighting",
• "torch.device",
• "torch.nn.modules.activation.SiLU",
• "fastai.vision.augment.rotate_mat",
• "timm.layers.pos_embed_rel.RelPosMlp",
• "fastai.data.transforms.Categorize",
• "numpy.core._multiarray_umath.less",
• "PIL.Image.Resampling",
• "torch.nn.modules.linear.Identity",
• "fastai.callback.progress.ProgressCallback",
• "torch._utils._rebuild_parameter",
• "fastai.learner.AvgMetric",
• "fastai.optimizer.Adam",
• "timm.models.maxxvit.MbConvBlock",
• "PIL.Image.Image",
• "fastai.data.load._FakeLoader",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "fastai.vision.learner.default_split",
• "timm.layers.classifier.NormMlpClassifierHead",
• "fastai.learner.Recorder",
• "fastai.learner.CastToTensor",
• "timm.models.maxxvit.AttentionCl",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "timm.models.maxxvit.PartitionAttentionCl",
• "builtins.print",
• "timm.models.maxxvit.Stem",
• "fastai.imports.noop",
• "fastcore.dispatch._TypeDict",
• "fastai.vision.augment.flip_mat",
• "inspect._ParameterKind",
• "fastai.metrics.accuracy",
• "fastai.data.transforms.ToTensor",
• "fastcore.dispatch.TypeDispatch",
• "timm.layers.norm.LayerNorm",
• "fastai.vision.learner.TimmBody",
• "fastai.vision.augment.Brightness",
• "numpy.dtype",
• "fastai.vision.core.PILImage",
• "fastai.data.core.Datasets",
• "fastai.data.load._wif",
• "fastai.torch_core.TensorCategory",
• "timm.layers.mlp.Mlp",
• "torch.LongStorage",
• "timm.models.maxxvit.MaxxVitStage",
• "torch.nn.modules.container.Sequential"

How to fix it?