connorgoggins commented on a change in pull request #17456: Implement remaining
nn_basic ops in opperf
URL: https://github.com/apache/incubator-mxnet/pull/17456#discussion_r376044801
##########
File path: benchmark/opperf/utils/op_registry_utils.py
##########
@@ -122,12 +122,21 @@ def prepare_op_inputs(op, arg_params):
# 3d tensor is needed by following ops
ops_3d = ['CTCLoss', 'ctc_loss']
+ custom_data = ['SpatialTransformer', 'col2im', 'RNN', 'GroupNorm',
'Dropout', 'FullyConnected', 'SoftmaxOutput', 'LinearRegressionOutput',
'BatchNorm',
+ 'LogisticRegressionOutput', 'MAERegressionOutput',
'SVMOutput', 'L2Normalization',
+ 'LayerNorm', 'InstanceNorm', 'Embedding',
'Correlation', 'im2col', 'LRN']
+
+ # Args for NN basic ops which vary across different ops
+ ops_nn_variable_args = ['weight', 'label', 'mode', 'gamma', 'beta',
'kernel', 'stride', 'dilate', 'pad', 'p', 'axis', 'loc',
"moving_mean","moving_var"]
Review comment:
Good point, dropping.
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