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Move and restructure cliffordlayers based models #9

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Aug 31, 2023
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Move and restructure cliffordlayers based models #9

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0 cliffordlayers/models/custom_kernels.py → ...fordlayers/models/basic/custom_kernels.py
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2 changes: 1 addition & 1 deletion cliffordlayers/models/custom_layers.py → cliffordlayers/models/basic/custom_layers.py
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Expand Up @@ -12,7 +12,7 @@
CliffordConv2d,
CliffordConv3d,
)
from cliffordlayers.models.custom_kernels import (
from cliffordlayers.models.basic.custom_kernels import (
get_2d_scalar_vector_encoding_kernel,
get_2d_scalar_vector_decoding_kernel,
get_2d_rotation_scalar_vector_encoding_kernel,
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2 changes: 1 addition & 1 deletion cliffordlayers/models/models_3d.py → cliffordlayers/models/basic/threed.py
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from cliffordlayers.nn.modules.cliffordconv import CliffordConv3d
from cliffordlayers.nn.modules.cliffordfourier import CliffordSpectralConv3d
from cliffordlayers.nn.modules.groupnorm import CliffordGroupNorm3d
from cliffordlayers.models.custom_layers import CliffordConv3dMaxwellEncoder, CliffordConv3dMaxwellDecoder
from cliffordlayers.models.basic.custom_layers import CliffordConv3dMaxwellEncoder, CliffordConv3dMaxwellDecoder


class CliffordFourierBasicBlock3d(nn.Module):
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2 changes: 1 addition & 1 deletion cliffordlayers/models/models_2d.py → cliffordlayers/models/basic/twod.py
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from cliffordlayers.nn.modules.cliffordconv import CliffordConv2d
from cliffordlayers.nn.modules.cliffordfourier import CliffordSpectralConv2d
from cliffordlayers.nn.modules.groupnorm import CliffordGroupNorm2d
from cliffordlayers.models.custom_layers import CliffordConv2dScalarVectorEncoder, CliffordConv2dScalarVectorDecoder
from cliffordlayers.models.basic.custom_layers import CliffordConv2dScalarVectorEncoder, CliffordConv2dScalarVectorDecoder


class CliffordBasicBlock2d(nn.Module):
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0 cliffordlayers/models/gca_models_2d.py → cliffordlayers/models/gca/twod.py
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2 changes: 1 addition & 1 deletion tests/test_CliffordFluidNet2d.py
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import torch
import torch.nn.functional as F
from cliffordlayers.models.utils import partialclass
from cliffordlayers.models.models_2d import (
from cliffordlayers.models.basic.twod import (
CliffordFluidNet2d,
CliffordBasicBlock2d,
CliffordFourierBasicBlock2d,
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2 changes: 1 addition & 1 deletion tests/test_CliffordMaxwellNet3d.py
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import torch
import torch.nn.functional as F
from cliffordlayers.models.models_3d import (
from cliffordlayers.models.basic.threed import (
CliffordMaxwellNet3d,
CliffordFourierBasicBlock3d,
)
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2 changes: 1 addition & 1 deletion tests/test_GCAFluidNet2d.py
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# Licensed under the MIT license.

import torch
from cliffordlayers.models.gca_models_2d import CliffordG3ResNet2d, CliffordG3UNet2d
from cliffordlayers.models.gca.twod import CliffordG3ResNet2d, CliffordG3UNet2d


def test_gca_resnet():
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2 changes: 1 addition & 1 deletion tests/test_clifford_convolution_custom.py
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# Licensed under the MIT license.

import torch
from cliffordlayers.models.custom_layers import (
from cliffordlayers.models.basic.custom_layers import (
CliffordConv2dScalarVectorEncoder,
CliffordConv2dScalarVectorDecoder,
CliffordConv3dMaxwellEncoder,
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