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November 7, 2023 00:57
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| HloModule xla_computation_ff, entry_computation_layout={(f32[4,1000]{1,0})->(f32[4,1000]{1,0})} | |
| region_0.4 { | |
| Arg_0.5 = f32[] parameter(0) | |
| Arg_1.6 = f32[] parameter(1) | |
| ROOT maximum.7 = f32[] maximum(Arg_0.5, Arg_1.6) | |
| } | |
| region_1.15 { | |
| Arg_0.16 = f32[] parameter(0) | |
| Arg_1.17 = f32[] parameter(1) | |
| ROOT add.18 = f32[] add(Arg_0.16, Arg_1.17) | |
| } | |
| ENTRY main.26 { | |
| Arg_0.1 = f32[4,1000]{1,0} parameter(0) | |
| constant.3 = f32[] constant(-inf) | |
| reduce.8 = f32[4]{0} reduce(Arg_0.1, constant.3), dimensions={1}, to_apply=region_0.4 | |
| reshape.9 = f32[4,1]{1,0} reshape(reduce.8) | |
| broadcast.10 = f32[4,1]{1,0} broadcast(reshape.9), dimensions={0,1} | |
| reshape.11 = f32[4]{0} reshape(broadcast.10) | |
| broadcast.12 = f32[4,1000]{1,0} broadcast(reshape.11), dimensions={0} | |
| subtract.13 = f32[4,1000]{1,0} subtract(Arg_0.1, broadcast.12) | |
| exponential.14 = f32[4,1000]{1,0} exponential(subtract.13) | |
| constant.2 = f32[] constant(0) | |
| reduce.19 = f32[4]{0} reduce(exponential.14, constant.2), dimensions={1}, to_apply=region_1.15 | |
| reshape.20 = f32[4,1]{1,0} reshape(reduce.19) | |
| broadcast.21 = f32[4,1]{1,0} broadcast(reshape.20), dimensions={0,1} | |
| reshape.22 = f32[4]{0} reshape(broadcast.21) | |
| broadcast.23 = f32[4,1000]{1,0} broadcast(reshape.22), dimensions={0} | |
| divide.24 = f32[4,1000]{1,0} divide(exponential.14, broadcast.23) | |
| ROOT tuple.25 = (f32[4,1000]{1,0}) tuple(divide.24) | |
| } |
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