| 3156 | class Expected_log10: |
| 3157 | @R.function |
| 3158 | def main( |
| 3159 | inp_0: R.Tensor((1, 3, 10, 10), dtype="float32"), |
| 3160 | ) -> R.Tensor((1, 3, 10, 10), dtype="float32"): |
| 3161 | with R.dataflow(): |
| 3162 | lv: R.Tensor((1, 3, 10, 10), dtype="float32") = R.log(inp_0) |
| 3163 | lv1: R.Tensor((1, 3, 10, 10), dtype="float32") = R.divide( |
| 3164 | lv, R.const(2.302585092994046, "float32") |
| 3165 | ) |
| 3166 | gv: R.Tensor((1, 3, 10, 10), dtype="float32") = lv1 |
| 3167 | R.output(gv) |
| 3168 | return gv |
| 3169 | |
| 3170 | verify_model(Log10(), input_info, {}, Expected_log10) |
| 3171 | |