Upload 8 files
Browse files- graphs/multivariate/g2m_edge_index.pt +3 -0
- graphs/multivariate/g2m_features.pt +3 -0
- graphs/multivariate/m2g_edge_index.pt +3 -0
- graphs/multivariate/m2g_features.pt +3 -0
- graphs/multivariate/m2m_edge_index.pt +3 -0
- graphs/multivariate/m2m_features.pt +3 -0
- graphs/multivariate/mesh_features.pt +3 -0
- graphs/multivariate/view_features.ipynb +91 -0
graphs/multivariate/g2m_edge_index.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec945de92f55e3ab8caa0d01a6b66c5b9b23b924bb9db72725f66035d2e1d950
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size 144896
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graphs/multivariate/g2m_features.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c8b700a9224864b93fca7be9b20df5054dadbecb4ec87455c77cc3406c73853
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size 108858
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graphs/multivariate/m2g_edge_index.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9acf7f298dc7ffc62cb9fca34050220037795ee549c99b981d99e4fb2c648fdc
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size 1975872
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graphs/multivariate/m2g_features.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:39a8efc2b1f1d949cd191e45950728732369c78b0decd50d9fceb61f66406e13
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size 1482042
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graphs/multivariate/m2m_edge_index.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b560ad1783ce30b6c59d70f365a5dce1d48985f5b8b53c73e786d02419f2eba
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size 922624
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graphs/multivariate/m2m_features.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:722ff9e1d707cf3d89071b5b237d29e0bdd5ce5d261cdfab289c11ffdd824785
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size 692154
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graphs/multivariate/mesh_features.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:df9618c4aa39c3efb0f90dd8de98886970e324fb6df1738328ca626783bea6a4
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size 53245
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graphs/multivariate/view_features.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import torch"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"g2m_edge_index: torch.Size([2, 9009])\n",
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"g2m_features: torch.Size([9009, 3])\n",
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"m2g_edge_index: torch.Size([123444])\n",
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"m2g_features: torch.Size([123444, 3])\n",
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"m2m_edge_index: torch.Size([2, 57616])\n",
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"m2m_features: torch.Size([57616, 3])\n",
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"mesh_features: torch.Size([6561, 2])\n"
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]
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}
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],
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"source": [
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"# read torch pt file\n",
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"g2m_edge_index = torch.load('/home/X-neural-lam/graphs/multivariate/g2m_edge_index.pt')\n",
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"g2m_features = torch.load('/home/X-neural-lam/graphs/multivariate/g2m_features.pt')\n",
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"m2g_edge_index = torch.load('/home/X-neural-lam/graphs/multivariate/m2g_edge_index.pt')\n",
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"m2g_features = torch.load('/home/X-neural-lam/graphs/multivariate/m2g_features.pt') # (3*81*381,3)\n",
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"m2m_edge_index = torch.load('/home/X-neural-lam/graphs/multivariate/m2m_edge_index.pt')\n",
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"m2m_features = torch.load('/home/X-neural-lam/graphs/multivariate/m2m_features.pt')\n",
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"mesh_features = torch.load('/home/X-neural-lam/graphs/multivariate/mesh_features.pt')\n",
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"\n",
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"# print shape\n",
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"print(f'g2m_edge_index: {g2m_edge_index.shape}')\n",
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"print(f'g2m_features: {g2m_features.shape}')\n",
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"print(f'm2g_edge_index: {m2g_edge_index[0].shape}')\n",
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"print(f'm2g_features: {m2g_features.shape}')\n",
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"print(f'm2m_edge_index: {m2m_edge_index[0].shape}')\n",
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"print(f'm2m_features: {m2m_features[0].shape}')\n",
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"print(f'mesh_features: {mesh_features[0].shape}')\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## test mlp"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"input = torch.randn(4,3, 10, requires_grad=True)\n",
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"net = torch.nn.Linear(10, 5)\n",
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"output = net(input)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.18"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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