George Nash dc75a135c8 Add elementwise operators to DNNL execution provider (#8899) ... The following ops have been added to the DNNL execution provider Abs, Elu, Exp, Log, *Relu, Round, Sigmoid, Softplus, Sqrt, and Tanh *Relu op was moved from its individual file to the elementwise operators The error tolerance for the LogGrad unit test had to be decreased slightly when using OneDNN. Still investigating why a differet tolerance value is needed. DnnlSubgraph::AddKernels() member function was moved to the top of the file since this is eddited every time a new operator is added to the the execution provider this places the code at the top which mean less scrooling when adding new kernels. Signed-off-by: George Nash <george.nash@intel.com>		2021-08-31 12:20:49 -07:00
..
orttraining	Add elementwise operators to DNNL execution provider (#8899)	2021-08-31 12:20:49 -07:00
pytorch_frontend_examples
tools	Extend node debugging utilities to push tensors and node placement to SQL database (#8672)	2021-08-21 00:40:12 -07:00