Feature Scope

Operation	Data Type	Supported Propagation Directions
abs	f32	Forward: dnnl_forward_training dnnl_forward_inference
exp	f32
log	f32
sqrt	f32
round	f32
tanh	f32
relu	f32/f16/bf16	Forward: dnnl_forward_training dnnl_forward_inference Backward: dnnl_backward_data
logistic	f32/f16/bf16
linear	f32/f16/bf16

The Eltwise operator in KDNN supports 1D to 5D and sequential data layout.

**Table 1** Mapping between each tensor dimension and parameter data layout
Tensor Dimension	Input Tensor (src) Data Layout	Output Tensor (dst) Data Layout
1D	dnnl_a	dnnl_a
2D	dnnl_ab	dnnl_ab
3D	dnnl_abc	dnnl_abc
4D	dnnl_abcd	dnnl_abcd
5D	dnnl_abcde	dnnl_abcde

Parent topic: Eltwise