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Microsoft 19.8k

• "cuequivariance_torch.primitives.tensor_product._TwoArgCaller",
• "_codecs.encode",
• "torch.fx.graph_module.reduce_graph_module",
• "simpoly.vivace.modules.atomic.AtomicEmbedding",
• "e3nn.o3._irreps.Irreps",
• "cuequivariance.segmented_polynomials.subscripts.Subscripts",
• "simpoly.vivace.models.equivariant.VivaceTensorProduct",
• "torch.device",
• "simpoly.vivace.models.equivariant.InvariantCrossAttention2EquivariantNode",
• "torch.float32",
• "simpoly.vivace.mliap.MLFFModelMLIAP",
• "torch._utils._rebuild_parameter",
• "simpoly.vivace.modules.radial_clamping.StepClamp",
• "torch.nn.modules.activation.SiLU",
• "torch._utils._rebuild_tensor_v2",
• "cuequivariance_torch.primitives.segmented_polynomial.SegmentedPolynomial",
• "simpoly.vivace.modules.attention.QKVExp",
• "torch.nn.modules.normalization.LayerNorm",
• "e3nn.o3._irreps.Irrep",
• "simpoly.vivace.modules.no_bias_mlp.NoBiasMLP",
• "simpoly.vivace.models.layers.EnergyOutput",
• "simpoly.vivace.modules.ltp_cuequivariance.MakeWeightedChannelsTwist",
• "cuequivariance_torch.primitives.segmented_polynomial_uniform_1d.SegmentedPolynomialFromUniform1dJit",
• "simpoly.vivace.modules.ltp_cuequivariance.LTPCuEquivarianceTwist",
• "cuequivariance_torch.primitives.tensor_product.TensorProduct",
• "simpoly.vivace.modules.ltp_cuequivariance.LinearWrapperTwist",
• "cuequivariance_torch.operations.spherical_harmonics.SphericalHarmonics",
• "simpoly.vivace.modules.radial_clamping.CosineClamp",
• "torch.nn.modules.container.ModuleList",
• "cuequivariance.segmented_polynomials.segmented_operand.SegmentedOperand",
• "simpoly.vivace.modules.radial_basis_set.ExpNormalSmearing",
• "simpoly.vivace.models.layers.InitHeader",
• "numpy.dtype",
• "torch.nn.modules.linear.Linear",
• "e3nn.o3._irreps._MulIr",
• "simpoly.vivace.models.vivace_bergamot.VivaceBergamot",
• "collections.OrderedDict",
• "numpy.ndarray",
• "cuequivariance.segmented_polynomials.segmented_tensor_product.SegmentedTensorProduct",
• "numpy._core.multiarray._reconstruct",
• "__builtin__.set",
• "torch.FloatStorage",
• "simpoly.vivace.modules.ltp_cuequivariance.DotProductCuEquivarianceTwist",
• "simpoly.vivace.models.equivariant.MockInnerProduct",
• "cuequivariance_torch.primitives.tensor_product._Wrapper",
• "simpoly.vivace.modules.mlp.MLP",
• "cuequivariance.segmented_polynomials.path.Path"

How to fix it?

• "torch._utils._rebuild_parameter",
• "cuequivariance_torch.primitives.tensor_product._TwoArgCaller",
• "cuequivariance.segmented_polynomials.segmented_operand.SegmentedOperand",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "simpoly.vivace.models.layers.InitHeader",
• "simpoly.vivace.modules.radial_clamping.CosineClamp",
• "cuequivariance_torch.primitives.segmented_polynomial.SegmentedPolynomial",
• "numpy._core.multiarray._reconstruct",
• "simpoly.vivace.modules.mlp.MLP",
• "torch.fx.graph_module.reduce_graph_module",
• "simpoly.vivace.modules.ltp_cuequivariance.DotProductCuEquivarianceTwist",
• "cuequivariance.segmented_polynomials.subscripts.Subscripts",
• "torch.nn.modules.normalization.LayerNorm",
• "simpoly.vivace.modules.radial_basis_set.ExpNormalSmearing",
• "simpoly.vivace.modules.ltp_cuequivariance.LinearWrapperTwist",
• "simpoly.vivace.modules.no_bias_mlp.NoBiasMLP",
• "e3nn.o3._irreps.Irreps",
• "cuequivariance_torch.operations.spherical_harmonics.SphericalHarmonics",
• "simpoly.vivace.models.vivace_bergamot.VivaceBergamot",
• "simpoly.vivace.modules.attention.QKVExp",
• "simpoly.vivace.models.equivariant.MockInnerProduct",
• "torch.float32",
• "numpy.ndarray",
• "simpoly.vivace.deploy.MLFFModelASE",
• "collections.OrderedDict",
• "simpoly.vivace.modules.radial_clamping.StepClamp",
• "simpoly.vivace.modules.atomic.AtomicEmbedding",
• "simpoly.vivace.models.layers.EnergyOutput",
• "simpoly.vivace.modules.ltp_cuequivariance.MakeWeightedChannelsTwist",
• "cuequivariance.segmented_polynomials.path.Path",
• "e3nn.o3._irreps._MulIr",
• "torch.nn.modules.linear.Linear",
• "simpoly.vivace.modules.ltp_cuequivariance.LTPCuEquivarianceTwist",
• "__builtin__.set",
• "torch.nn.modules.container.ModuleList",
• "cuequivariance_torch.primitives.tensor_product._Wrapper",
• "e3nn.o3._irreps.Irrep",
• "simpoly.vivace.models.equivariant.InvariantCrossAttention2EquivariantNode",
• "simpoly.vivace.models.equivariant.VivaceTensorProduct",
• "numpy.dtype",
• "cuequivariance.segmented_polynomials.segmented_tensor_product.SegmentedTensorProduct",
• "cuequivariance_torch.primitives.segmented_polynomial_uniform_1d.SegmentedPolynomialFromUniform1dJit",
• "_codecs.encode",
• "torch.nn.modules.activation.SiLU",
• "cuequivariance_torch.primitives.tensor_product.TensorProduct"

How to fix it?