| 3134 | class Expected_log2: |
| 3135 | @R.function |
| 3136 | def main( |
| 3137 | inp_0: R.Tensor((1, 3, 10, 10), dtype="float32"), |
| 3138 | ) -> R.Tensor((1, 3, 10, 10), dtype="float32"): |
| 3139 | with R.dataflow(): |
| 3140 | lv: R.Tensor((1, 3, 10, 10), dtype="float32") = R.log(inp_0) |
| 3141 | lv1: R.Tensor((1, 3, 10, 10), dtype="float32") = R.divide( |
| 3142 | lv, R.const(0.6931471805599453, "float32") |
| 3143 | ) |
| 3144 | gv: R.Tensor((1, 3, 10, 10), dtype="float32") = lv1 |
| 3145 | R.output(gv) |
| 3146 | return gv |
| 3147 | |
| 3148 | verify_model(Log2(), input_info, {}, Expected_log2) |
| 3149 | |