Some minor changes: replace '*1.0e-03' with '/1000.0f' for more consistent rounding; minor documentation and cosmetic changes

CHiME4 recipe: 

Shrink in-value of ClipGradientComponent toward some smaller value when clipping proportion exceeds some threshold (#803)

 (also minor bug fix in profiling in cu-vector.cc)

* add an option to set random seed for model initialization and egs shuffling in training

* fix

* fix2

* do random seed checks

* remove the check for randome seed of egs generation

Online feature fbank fix

Speed up softmax

linux_x86_64_mkl.mk now show respect to --static-fst=yes

New: For CuMatrix::Softmax<float>, for dim = 16, speed was 0.0153621 gigaflops.
Old: For CuMatrix::Softmax<float>, for dim = 16, speed was 0.0138999 gigaflops.
New: For CuMatrix::Softmax<float>, for dim = 32, speed was 0.0614275 gigaflops.
Old: For CuMatrix::Softmax<float>, for dim = 32, speed was 0.0507328 gigaflops.
New: For CuMatrix::Softmax<float>, for dim = 64, speed was 0.235765 gigaflops.
Old: For CuMatrix::Softmax<float>, for dim = 64, speed was 0.203548 gigaflops.
New: For CuMatrix::Softmax<float>, for dim = 128, speed was 0.729239 gigaflops.
Old: For CuMatrix::Softmax<float>, for dim = 128, speed was 0.725481 gigaflops.
New: For CuMatrix::Softmax<float>, for dim = 256, speed was 2.30126 gigaflops.
Old: For CuMatrix::Softmax<float>, for dim = 256, speed was 1.71863 gigaflops.
New: For CuMatrix::Softmax<float>, for dim = 512, speed was 5.0565 gigaflops.
Old: For CuMatrix::Softmax<float>, for dim = 512, speed was 3.69659 gigaflops.
New: For CuMatrix::Softmax<float>, for dim = 1024, speed was 10.2482 gigaflops.
Old: For CuMatrix::Softmax<float>, for dim = 1024, speed was 6.38335 gigaflops.
New: For CuMatrix::Softmax<double>, for dim = 16, speed was 0.0143354 gigaflops.
Old: For CuMatrix::Softmax<double>, for dim = 16, speed was 0.013143 gigaflops.
New: For CuMatrix::Softmax<double>, for dim = 32, speed was 0.0590478 gigaflops.
Old: For CuMatrix::Softmax<double>, for dim = 32, speed was 0.0495458 gigaflops.
New: For CuMatrix::Softmax<double>, for dim = 64, speed was 0.228611 gigaflops.
Old: For CuMatrix::Softmax<double>, for dim = 64, speed was 0.193465 gigaflops.
New: For CuMatrix::Softmax<double>, for dim = 128, speed was 0.668961 gigaflops.
Old: For CuMatrix::Softmax<double>, for dim = 128, speed was 0.676449 gigaflops.
New: For CuMatrix::Softmax<double>, for dim = 256, speed was 2.1013 gigaflops.
Old: For CuMatrix::Softmax<double>, for dim = 256, speed was 1.51862 gigaflops.
New: For CuMatrix::Softmax<double>, for dim = 512, speed was 4.13055 gigaflops.
Old: For CuMatrix::Softmax<double>, for dim = 512, speed was 3.1547 gigaflops.
New: For CuMatrix::Softmax<double>, for dim = 1024, speed was 6.43429 gigaflops.
Old: For CuMatrix::Softmax<double>, for dim = 1024, speed was 5.02974 gigaflops.

minor changes

Fixes #883

Avoid using python's / operator so that we do not create a floating
point value accidentally when python3 is used.

LogLikelihoodRatio function should be const. Does not modify the PLDA

Fix issue with 'explicit' constructors that prevented inclusion in stl vector, plus various cosmetic and documentation changes

Would cause an error if num hidden layers > num lstm layers.

- fix a bug (unknown feature) which occurs when “—endpoint=true” with
use of fbank feature

Fix bug introduced in #863

resize the result matrix before back-propagation

Standard way to represent inf

For compatibility with MS Visual Studio.

Speed up SoftmaxComponent::Backprop()

yesno recipe data prep: paths to absolute + misc. 

New: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 16, speed was 0.0165568 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 16, speed was 0.00355242 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 32, speed was 0.0678791 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 32, speed was 0.0145515 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 64, speed was 0.24739 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 64, speed was 0.0583246 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 128, speed was 0.898427 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 128, speed was 0.225076 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 256, speed was 2.89009 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 256, speed was 0.834096 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 512, speed was 6.72164 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 512, speed was 1.92722 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 1024, speed was 10.4916 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<float>, for dim = 1024, speed was 2.78281 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 16, speed was 0.0148584 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 16, speed was 0.00260567 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 32, speed was 0.0586865 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 32, speed was 0.0121077 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 64, speed was 0.22893 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 64, speed was 0.0527767 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 128, speed was 0.763462 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 128, speed was 0.175736 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 256, speed was 2.40457 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 256, speed was 0.58351 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 512, speed was 4.55165 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 512, speed was 1.42464 gigaflops.
New: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 1024, speed was 4.36421 gigaflops.
Old: For CuMatrix::DiffSoftmaxPerRow<double>, for dim = 1024, speed was 1.94971 gigaflops.

Modify error message and documentation to suggest nvidia-smi -c 3 (process exclusive mode) as thread exclusive mode is deprecated now