* add zero norm, inf norm support for p_norm op

* fix the invalid argument check, fix the dtype problem in test case.

* Add new norm api, support frobenius norm and p-order vector norm. test==develop
* combine test files, add more attr checks. test=develop

test=develop

* Implement norm_op by CUDA instead of Eigen.
* Remove the commented code.

* Add normalization operator.
1. Refine the raw norm_op and let it more general to support to normalize Tensor along any axis.
2. There is a bug in l2_normalize API, which lacks sqrt after `reduce_sum`.
3. Use norm_op to refine the l2_normalize API.
4. Fix bug in test_normalization_wrapper.py.