anko-intel commented on a change in pull request #20406:
URL: https://github.com/apache/incubator-mxnet/pull/20406#discussion_r666049375
##########
File path: tests/python/mkl/test_mkldnn.py
##########
@@ -309,15 +319,18 @@ def check_batchnorm_training(stype):
data = mx.symbol.Variable('data', stype=stype)
in_location = [mx.nd.array(data_tmp).tostype(stype),
mx.nd.array(gamma).tostype(stype),
mx.nd.array(beta).tostype(stype)]
- mean_std = [mx.nd.array(rolling_mean).tostype(stype),
mx.nd.array(rolling_std).tostype(stype)]
+ mean_std = [mx.nd.array(rolling_mean).tostype(
Review comment:
```suggestion
mean_std =
[mx.nd.array(rolling_mean).tostype(stype),
mx.nd.array(rolling_std).tostype(stype)]
```
or
```suggestion
mean_std =
[mx.nd.array(rolling_mean).tostype(stype),
mx.nd.array(rolling_std).tostype(stype)]
```
?
##########
File path: tests/python/mkl/test_mkldnn.py
##########
@@ -405,14 +420,18 @@ def check_pooling_training(stype):
in_location = [mx.nd.array(data_tmp).tostype(stype)]
if np.array(shape).shape[0] == 3:
- test = mx.symbol.Pooling(data=data, kernel=(3), stride=(2),
pool_type='avg')
+ test = mx.symbol.Pooling(data=data, kernel=(
+ 3), stride=(2), pool_type='avg')
elif np.array(shape).shape[0] == 4:
- test = mx.symbol.Pooling(data=data, kernel=(3, 3), stride=(2,
2), pool_type='avg')
+ test = mx.symbol.Pooling(data=data, kernel=(
+ 3, 3), stride=(2, 2), pool_type='avg')
Review comment:
It looks strange when part of the parameter is moved to the next line.
"(3, 3)" shouldn't' be spitted
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