Noha90

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AML_16

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• "transformers.models.swin.modeling_swin.SwinSelfOutput",
• "transformers.models.swin.modeling_swin.SwinEncoder",
• "transformers.models.swin.modeling_swin.SwinEmbeddings",
• "torch._C._nn.gelu",
• "torch.nn.modules.activation.LeakyReLU",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "torch.QInt8Storage",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.swin.configuration_swin.SwinConfig",
• "torch.ScriptObject",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.swin.modeling_swin.SwinAttention",
• "transformers.models.swin.modeling_swin.SwinStage",
• "__main__.Swin",
• "transformers.models.swin.modeling_swin.SwinLayer",
• "torch.qint8",
• "torch.per_tensor_affine",
• "torch.nn.modules.linear.Identity",
• "transformers.models.swin.modeling_swin.SwinPatchEmbeddings",
• "torch.nn.modules.conv.Conv2d",
• "transformers.models.swin.modeling_swin.SwinOutput",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.swin.modeling_swin.SwinPatchMerging",
• "__builtin__.set",
• "transformers.models.swin.modeling_swin.SwinDropPath",
• "torch.FloatStorage",
• "transformers.models.swin.modeling_swin.SwinSelfAttention",
• "torch.nn.modules.dropout.Dropout",
• "transformers.activations.GELUActivation",
• "transformers.models.swin.modeling_swin.SwinForImageClassification",
• "torch.float32",
• "transformers.models.swin.modeling_swin.SwinIntermediate",
• "collections.OrderedDict",
• "torch.nn.modules.pooling.AdaptiveAvgPool1d",
• "torch._utils._rebuild_qtensor",
• "torch.ao.nn.quantized.dynamic.modules.linear.Linear",
• "torch.ao.nn.quantized.modules.linear.LinearPackedParams",
• "transformers.models.swin.modeling_swin.SwinModel"

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