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OpenDAS
dgl
Commits
aefc080e
Unverified
Commit
aefc080e
authored
Apr 08, 2020
by
Adam J. Stewart
Committed by
GitHub
Apr 09, 2020
Browse files
[Doc] Fix GraphConv math notation (#1430)
parent
1b37545d
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3
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python/dgl/nn/mxnet/conv/graphconv.py
python/dgl/nn/mxnet/conv/graphconv.py
+1
-1
python/dgl/nn/pytorch/conv/graphconv.py
python/dgl/nn/pytorch/conv/graphconv.py
+1
-1
python/dgl/nn/tensorflow/conv/graphconv.py
python/dgl/nn/tensorflow/conv/graphconv.py
+1
-1
No files found.
python/dgl/nn/mxnet/conv/graphconv.py
View file @
aefc080e
...
@@ -103,7 +103,7 @@ class GraphConv(gluon.Block):
...
@@ -103,7 +103,7 @@ class GraphConv(gluon.Block):
dimensions, :math:`N` is the number of nodes.
dimensions, :math:`N` is the number of nodes.
* Output shape: :math:`(N, *, \text{out_feats})` where all but the last dimension are
* Output shape: :math:`(N, *, \text{out_feats})` where all but the last dimension are
the same shape as the input.
the same shape as the input.
* Weight shape:
"
math:`(\text{in_feats}, \text{out_feats})`.
* Weight shape:
:
math:`(\text{in_feats}, \text{out_feats})`.
Parameters
Parameters
----------
----------
...
...
python/dgl/nn/pytorch/conv/graphconv.py
View file @
aefc080e
...
@@ -109,7 +109,7 @@ class GraphConv(nn.Module):
...
@@ -109,7 +109,7 @@ class GraphConv(nn.Module):
dimensions, :math:`N` is the number of nodes.
dimensions, :math:`N` is the number of nodes.
* Output shape: :math:`(N, *, \text{out_feats})` where all but the last dimension are
* Output shape: :math:`(N, *, \text{out_feats})` where all but the last dimension are
the same shape as the input.
the same shape as the input.
* Weight shape:
"
math:`(\text{in_feats}, \text{out_feats})`.
* Weight shape:
:
math:`(\text{in_feats}, \text{out_feats})`.
Parameters
Parameters
----------
----------
...
...
python/dgl/nn/tensorflow/conv/graphconv.py
View file @
aefc080e
...
@@ -106,7 +106,7 @@ class GraphConv(layers.Layer):
...
@@ -106,7 +106,7 @@ class GraphConv(layers.Layer):
dimensions, :math:`N` is the number of nodes.
dimensions, :math:`N` is the number of nodes.
* Output shape: :math:`(N, *, \text{out_feats})` where all but the last dimension are
* Output shape: :math:`(N, *, \text{out_feats})` where all but the last dimension are
the same shape as the input.
the same shape as the input.
* Weight shape:
"
math:`(\text{in_feats}, \text{out_feats})`.
* Weight shape:
:
math:`(\text{in_feats}, \text{out_feats})`.
Parameters
Parameters
----------
----------
...
...
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