--reset

--mb=2

# Training
## Forward
--dir=FWD_B,FWD_D
--cfg=f32,bf16bf16bf16,f16
--stag=any,axb
--dtag=any,axb
--attr-post-ops=, \
                sum:0.5, \
                linear:2:1, \
                add:f32, \
                mul:s8:per_oc+sum:0.25+relu:0.5+add:f32:per_tensor
--batch=shapes_ci
## Backward
--dir=BWD_D,BWD_W,BWD_WB
--attr-post-ops=
--batch=shapes_ci

# Inference
--dir=FWD_B,FWD_I
--stag=any,axb
--dtag=any,axb
--attr-scales=,src:common:0.25*,wei:per_oc:5*,dst:common:0.25*

## All inference configs
--cfg=u8s8f32,u8s8bf16,u8s8f16,u8s8s32,u8s8s8,u8s8u8, \
      s8s8f32,s8s8bf16,s8s8f16,s8s8s32,s8s8s8,s8s8u8, \
      f16f16s8,f16f16u8
--batch=shapes_ci

--cfg=u8s8f32,s8s8s32
--attr-post-ops=, \
                sum:0.5, \
                linear:2:1, \
                add:f32, \
                mul:s8:per_oc+sum:0.25+relu:0.5+add:f32:per_tensor
--batch=shapes_ci
