@TccccD there seems to be a bug in the current version of this PR leading to
`Shape size mismatch 3 v.s. 15`:
```
======================================================================
ERROR: test_operator.test_l2_normalization
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Anaconda3\envs\py2\lib\site-packages\nose\case.py", line 197, in
runTest
self.test(*self.arg)
File
"C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\common.py",
line 172, in test_new
orig_test(*args, **kwargs)
File
"C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_operator.py",
line 3135, in test_l2_normalization
check_l2_normalization((nbatch, nchannel, height), mode, dtype)
File
"C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_operator.py",
line 3123, in check_l2_normalization
check_numeric_gradient(out, [in_data], numeric_eps=1e-3, rtol=1e-2,
atol=1e-3)
File
"C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py",
line 900, in check_numeric_gradient
symbolic_grads = {k:executor.grad_dict[k].asnumpy() for k in grad_nodes}
File
"C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py",
line 900, in <dictcomp>
symbolic_grads = {k:executor.grad_dict[k].asnumpy() for k in grad_nodes}
File
"C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\ndarray\ndarray.py",
line 1972, in asnumpy
ctypes.c_size_t(data.size)))
File
"C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\base.py",
line 252, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
MXNetError: [12:50:19]
c:\jenkins_slave\workspace\build-gpu@3\include\mxnet\./tensor_blob.h:146: Check
failed: this->shape_.Size() == shape.Size() (3 vs. 15) Shape size mismatch 3
v.s. 15
```
[ Full content available at:
https://github.com/apache/incubator-mxnet/pull/12287 ]
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