463b5539fb1ca42fafd4791c539a53d1fc49e9ae,tensorly/backend/mxnet_backend.py,,argmax,#Any#Any#,115
Before Change
return numpy.max(tensor, *args, **kwargs)
def argmax(data=None, axis=None):
return nd.argmax(data, axis).astype("int32").asscalar()
def argmin(data=None, axis=None):
return nd.argmin(data, axis).astype("int32").asscalar()
After Change
return numpy.max(tensor, *args, **kwargs)
def argmax(data=None, axis=None):
res = nd.argmax(data, axis)
if res.shape == (1,):
return res.astype("int32").asscalar()
else:
return res
def argmin(data=None, axis=None):
res = nd.argmin(data, axis)
if res.shape == (1,):
return res.astype("int32").asscalar()
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 12
Instances
Project Name: tensorly/tensorly
Commit Name: 463b5539fb1ca42fafd4791c539a53d1fc49e9ae
Time: 2018-09-19
Author: zli@wustl.edu
File Name: tensorly/backend/mxnet_backend.py
Class Name:
Method Name: argmax
Project Name: tensorly/tensorly
Commit Name: 463b5539fb1ca42fafd4791c539a53d1fc49e9ae
Time: 2018-09-19
Author: zli@wustl.edu
File Name: tensorly/backend/mxnet_backend.py
Class Name:
Method Name: argmin
Project Name: tensorly/tensorly
Commit Name: f08b65795c016562eb9dac1daffde50cec4d448c
Time: 2018-09-14
Author: zli@wustl.edu
File Name: tensorly/backend/mxnet_backend.py
Class Name:
Method Name: argmax
Project Name: tensorly/tensorly
Commit Name: f08b65795c016562eb9dac1daffde50cec4d448c
Time: 2018-09-14
Author: zli@wustl.edu
File Name: tensorly/backend/mxnet_backend.py
Class Name:
Method Name: argmin