[incubator-tvm] branch ci-docker-staging updated: Format

[jroesch]

This is an automated email from the ASF dual-hosted git repository.

jroesch pushed a commit to branch ci-docker-staging
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git


The following commit(s) were added to refs/heads/ci-docker-staging by this push:
     new ecf8b65  Format
ecf8b65 is described below

commit ecf8b656abcfb0d73903aee9a0ee3dea039c0ff8
Author: Jared Roesch <roesch...@gmail.com>
AuthorDate: Wed Oct 14 13:31:27 2020 -0700

    Format
---
 tutorials/frontend/build_gcn.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/tutorials/frontend/build_gcn.py b/tutorials/frontend/build_gcn.py
index a99ed80..b832d18 100644
--- a/tutorials/frontend/build_gcn.py
+++ b/tutorials/frontend/build_gcn.py
@@ -242,7 +242,9 @@ import networkx as nx
 
 def prepare_params(g, data):
     params = {}
-    params["infeats"] = data.features.numpy().astype("float32")  # Only 
support float32 as feature for now
+    params["infeats"] = data.features.numpy().astype(
+        "float32"
+    )  # Only support float32 as feature for now
 
     # Generate adjacency matrix
     adjacency = nx.to_scipy_sparse_matrix(g)
@@ -351,5 +353,6 @@ acc = evaluate(data, logits_tvm)
 print("Test accuracy of TVM results: {:.2%}".format(acc))
 
 import tvm.testing
+
 # Verify the results with the DGL model
 tvm.testing.assert_allclose(logits_torch, logits_tvm, atol=1e-3)