88f109f17338d7905d6f5618f0b2b3afc689fd54

_sources/sg_execution_times.rst.txt

@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**01:53.037** total execution time for 20 files **from all galleries**:
+**01:51.243** total execution time for 20 files **from all galleries**:
 
 .. container::
 
@@ -33,62 +33,62 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_tutorials_blitz_5_graph_classification.py` (``../../tutorials/blitz/5_graph_classification.py``)
-     - 00:55.917
+     - 00:54.597
      - 0.0
    * - :ref:`sphx_glr_tutorials_models_1_gnn_6_line_graph.py` (``../../tutorials/models/1_gnn/6_line_graph.py``)
-     - 00:22.472
+     - 00:22.374
      - 0.0
    * - :ref:`sphx_glr_tutorials_models_3_generative_model_5_dgmg.py` (``../../tutorials/models/3_generative_model/5_dgmg.py``)
-     - 00:13.354
+     - 00:13.641
      - 0.0
    * - :ref:`sphx_glr_tutorials_blitz_3_message_passing.py` (``../../tutorials/blitz/3_message_passing.py``)
-     - 00:07.253
+     - 00:07.065
      - 0.0
    * - :ref:`sphx_glr_tutorials_models_1_gnn_4_rgcn.py` (``../../tutorials/models/1_gnn/4_rgcn.py``)
-     - 00:03.819
+     - 00:03.811
      - 0.0
    * - :ref:`sphx_glr_tutorials_models_1_gnn_9_gat.py` (``../../tutorials/models/1_gnn/9_gat.py``)
-     - 00:02.786
+     - 00:02.771
      - 0.0
    * - :ref:`sphx_glr_tutorials_blitz_1_introduction.py` (``../../tutorials/blitz/1_introduction.py``)
-     - 00:02.243
+     - 00:02.019
      - 0.0
    * - :ref:`sphx_glr_tutorials_models_2_small_graph_3_tree-lstm.py` (``../../tutorials/models/2_small_graph/3_tree-lstm.py``)
-     - 00:02.007
+     - 00:01.972
      - 0.0
    * - :ref:`sphx_glr_tutorials_blitz_4_link_predict.py` (``../../tutorials/blitz/4_link_predict.py``)
-     - 00:01.461
+     - 00:01.418
      - 0.0
    * - :ref:`sphx_glr_tutorials_models_1_gnn_1_gcn.py` (``../../tutorials/models/1_gnn/1_gcn.py``)
-     - 00:00.759
+     - 00:00.708
      - 0.0
    * - :ref:`sphx_glr_tutorials_blitz_6_load_data.py` (``../../tutorials/blitz/6_load_data.py``)
-     - 00:00.602
+     - 00:00.507
      - 0.0
    * - :ref:`sphx_glr_tutorials_models_4_old_wines_2_capsule.py` (``../../tutorials/models/4_old_wines/2_capsule.py``)
-     - 00:00.270
+     - 00:00.268
      - 0.0
    * - :ref:`sphx_glr_tutorials_multi_2_node_classification.py` (``../../tutorials/multi/2_node_classification.py``)
-     - 00:00.077
+     - 00:00.076
      - 0.0
    * - :ref:`sphx_glr_tutorials_blitz_2_dglgraph.py` (``../../tutorials/blitz/2_dglgraph.py``)
-     - 00:00.013
+     - 00:00.014
      - 0.0
    * - :ref:`sphx_glr_tutorials_multi_1_graph_classification.py` (``../../tutorials/multi/1_graph_classification.py``)
      - 00:00.003
      - 0.0
    * - :ref:`sphx_glr_tutorials_models_4_old_wines_7_transformer.py` (``../../tutorials/models/4_old_wines/7_transformer.py``)
      - 00:00.000
      - 0.0
-   * - :ref:`sphx_glr_tutorials_dist_2_link_prediction.py` (``../../tutorials/dist/2_link_prediction.py``)
-     - 00:00.000
-     - 0.0
    * - :ref:`sphx_glr_tutorials_cpu_cpu_best_practises.py` (``../../tutorials/cpu/cpu_best_practises.py``)
      - 00:00.000
      - 0.0
-   * - :ref:`sphx_glr_tutorials_cpu_argo_tutorial.py` (``../../tutorials/cpu/argo_tutorial.py``)
+   * - :ref:`sphx_glr_tutorials_dist_2_link_prediction.py` (``../../tutorials/dist/2_link_prediction.py``)
      - 00:00.000
      - 0.0
    * - :ref:`sphx_glr_tutorials_dist_1_node_classification.py` (``../../tutorials/dist/1_node_classification.py``)
      - 00:00.000
      - 0.0
+   * - :ref:`sphx_glr_tutorials_cpu_argo_tutorial.py` (``../../tutorials/cpu/argo_tutorial.py``)
+     - 00:00.000
+     - 0.0

_sources/tutorials/blitz/1_introduction.rst.txt

@@ -111,7 +111,7 @@ Loading Cora Dataset
  .. code-block:: none
 
     Downloading /root/.dgl/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip...
-    /root/.dgl/cora_v2.zip:   0%|          | 0.00/132k [00:00<?, ?B/s]    /root/.dgl/cora_v2.zip: 100%|██████████| 132k/132k [00:00<00:00, 3.40MB/s]
+    /root/.dgl/cora_v2.zip:   0%|          | 0.00/132k [00:00<?, ?B/s]    /root/.dgl/cora_v2.zip: 100%|██████████| 132k/132k [00:00<00:00, 9.79MB/s]
     Extracting file to /root/.dgl/cora_v2_d697a464
     Finished data loading and preprocessing.
       NumNodes: 2708
@@ -321,26 +321,26 @@ Training this GCN is similar to training other PyTorch neural networks.
 
  .. code-block:: none
 
-    In epoch 0, loss: 1.946, val acc: 0.154 (best 0.154), test acc: 0.166 (best 0.166)
-    In epoch 5, loss: 1.888, val acc: 0.508 (best 0.512), test acc: 0.503 (best 0.505)
-    In epoch 10, loss: 1.804, val acc: 0.482 (best 0.512), test acc: 0.509 (best 0.505)
-    In epoch 15, loss: 1.698, val acc: 0.620 (best 0.620), test acc: 0.638 (best 0.638)
-    In epoch 20, loss: 1.570, val acc: 0.690 (best 0.690), test acc: 0.695 (best 0.695)
-    In epoch 25, loss: 1.422, val acc: 0.704 (best 0.704), test acc: 0.718 (best 0.718)
-    In epoch 30, loss: 1.259, val acc: 0.718 (best 0.720), test acc: 0.743 (best 0.733)
-    In epoch 35, loss: 1.088, val acc: 0.734 (best 0.734), test acc: 0.754 (best 0.752)
-    In epoch 40, loss: 0.918, val acc: 0.746 (best 0.746), test acc: 0.751 (best 0.749)
-    In epoch 45, loss: 0.759, val acc: 0.754 (best 0.754), test acc: 0.758 (best 0.757)
-    In epoch 50, loss: 0.617, val acc: 0.760 (best 0.760), test acc: 0.762 (best 0.762)
-    In epoch 55, loss: 0.497, val acc: 0.762 (best 0.764), test acc: 0.764 (best 0.764)
-    In epoch 60, loss: 0.399, val acc: 0.766 (best 0.766), test acc: 0.766 (best 0.765)
-    In epoch 65, loss: 0.321, val acc: 0.770 (best 0.770), test acc: 0.769 (best 0.769)
-    In epoch 70, loss: 0.259, val acc: 0.766 (best 0.770), test acc: 0.772 (best 0.769)
-    In epoch 75, loss: 0.212, val acc: 0.772 (best 0.772), test acc: 0.771 (best 0.771)
-    In epoch 80, loss: 0.175, val acc: 0.772 (best 0.774), test acc: 0.773 (best 0.772)
-    In epoch 85, loss: 0.146, val acc: 0.770 (best 0.774), test acc: 0.773 (best 0.772)
-    In epoch 90, loss: 0.123, val acc: 0.772 (best 0.776), test acc: 0.772 (best 0.775)
-    In epoch 95, loss: 0.105, val acc: 0.772 (best 0.776), test acc: 0.773 (best 0.775)
+    In epoch 0, loss: 1.946, val acc: 0.236 (best 0.236), test acc: 0.244 (best 0.244)
+    In epoch 5, loss: 1.892, val acc: 0.498 (best 0.498), test acc: 0.505 (best 0.505)
+    In epoch 10, loss: 1.809, val acc: 0.588 (best 0.588), test acc: 0.599 (best 0.599)
+    In epoch 15, loss: 1.703, val acc: 0.662 (best 0.662), test acc: 0.650 (best 0.650)
+    In epoch 20, loss: 1.574, val acc: 0.708 (best 0.708), test acc: 0.693 (best 0.693)
+    In epoch 25, loss: 1.425, val acc: 0.732 (best 0.732), test acc: 0.716 (best 0.716)
+    In epoch 30, loss: 1.261, val acc: 0.748 (best 0.748), test acc: 0.720 (best 0.720)
+    In epoch 35, loss: 1.089, val acc: 0.756 (best 0.756), test acc: 0.724 (best 0.724)
+    In epoch 40, loss: 0.919, val acc: 0.762 (best 0.764), test acc: 0.732 (best 0.727)
+    In epoch 45, loss: 0.759, val acc: 0.766 (best 0.766), test acc: 0.733 (best 0.733)
+    In epoch 50, loss: 0.617, val acc: 0.768 (best 0.768), test acc: 0.741 (best 0.741)
+    In epoch 55, loss: 0.496, val acc: 0.766 (best 0.768), test acc: 0.753 (best 0.741)
+    In epoch 60, loss: 0.398, val acc: 0.762 (best 0.768), test acc: 0.756 (best 0.741)
+    In epoch 65, loss: 0.320, val acc: 0.758 (best 0.768), test acc: 0.756 (best 0.741)
+    In epoch 70, loss: 0.259, val acc: 0.752 (best 0.768), test acc: 0.761 (best 0.741)
+    In epoch 75, loss: 0.211, val acc: 0.766 (best 0.768), test acc: 0.762 (best 0.741)
+    In epoch 80, loss: 0.174, val acc: 0.770 (best 0.770), test acc: 0.760 (best 0.760)
+    In epoch 85, loss: 0.145, val acc: 0.772 (best 0.772), test acc: 0.763 (best 0.763)
+    In epoch 90, loss: 0.123, val acc: 0.768 (best 0.772), test acc: 0.761 (best 0.763)
+    In epoch 95, loss: 0.104, val acc: 0.768 (best 0.772), test acc: 0.756 (best 0.763)
 
 
 
@@ -394,7 +394,7 @@ What’s next?
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.243 seconds)
+   **Total running time of the script:** (0 minutes 2.019 seconds)
 
 
 .. _sphx_glr_download_tutorials_blitz_1_introduction.py:

_sources/tutorials/blitz/2_dglgraph.rst.txt

@@ -158,11 +158,11 @@ You can assign and retrieve node and edge features via ``ndata`` and
 
  .. code-block:: none
 
-    tensor([[ 0.1608,  0.2708, -0.1178, -0.3529],
-            [-0.5908, -0.4476,  1.2832,  0.3689],
-            [-0.9026,  0.1520,  0.2994,  0.6633],
-            [-0.2375,  0.9356,  2.2289,  0.9310],
-            [ 1.1168,  0.9765, -1.5600,  0.0044]])
+    tensor([[ 0.6426, -0.2214,  0.6190, -0.0646],
+            [-0.9322,  0.8016,  2.4516, -1.4537],
+            [-0.9316,  0.3833,  0.4636, -0.9297],
+            [ 1.5936, -0.7172, -0.0852, -0.9570],
+            [-0.6231,  0.7283,  0.0623, -0.7913]])
 
 
 
@@ -320,18 +320,18 @@ to the subgraph:
 
  .. code-block:: none
 
-    tensor([[-0.7074, -1.7754, -0.3619],
-            [-1.2930, -1.2476, -0.2298],
-            [-0.1369,  1.0710,  2.4148]])
-    tensor([[ 0.1608,  0.2708, -0.1178, -0.3529],
-            [-0.9026,  0.1520,  0.2994,  0.6633]])
-    tensor([[-0.7074, -1.7754, -0.3619],
-            [-1.2930, -1.2476, -0.2298],
-            [ 1.3130, -0.3904, -0.6975],
-            [ 1.2083,  0.9581,  0.6242]])
-    tensor([[ 0.1608,  0.2708, -0.1178, -0.3529],
-            [-0.5908, -0.4476,  1.2832,  0.3689],
-            [-0.2375,  0.9356,  2.2289,  0.9310]])
+    tensor([[-1.0349, -1.1049,  0.7170],
+            [-1.1247, -0.8151,  1.3590],
+            [ 0.5967,  0.0898,  1.6356]])
+    tensor([[ 0.6426, -0.2214,  0.6190, -0.0646],
+            [-0.9316,  0.3833,  0.4636, -0.9297]])
+    tensor([[-1.0349, -1.1049,  0.7170],
+            [-1.1247, -0.8151,  1.3590],
+            [ 1.0594, -0.1625,  0.1124],
+            [ 1.1485,  0.1165, -0.0783]])
+    tensor([[ 0.6426, -0.2214,  0.6190, -0.0646],
+            [-0.9322,  0.8016,  2.4516, -1.4537],
+            [ 1.5936, -0.7172, -0.0852, -0.9570]])
 
 
 
@@ -457,7 +457,7 @@ What’s next?
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.013 seconds)
+   **Total running time of the script:** (0 minutes 0.014 seconds)
 
 
 .. _sphx_glr_download_tutorials_blitz_2_dglgraph.py: