(self, lr_m, learningRateModelFinal)
| 3351 | return param, param_old |
| 3352 | |
| 3353 | def force_decrease_lrm(self, lr_m, learningRateModelFinal): |
| 3354 | lr_m_old = lr_m |
| 3355 | lr_m = max(lr_m * 0.5, learningRateModelFinal) |
| 3356 | filename = os.path.join(self.modelFolder, "learningRateModel") |
| 3357 | f = open(filename, "w+") |
| 3358 | try: |
| 3359 | f.write(str(lr_m.numpy())) |
| 3360 | except: |
| 3361 | f.write(str(lr_m)) |
| 3362 | f.close() |
| 3363 | return |
| 3364 | |
| 3365 | def force_decrease_lrm_lrw( |
| 3366 | self, lr_m, learningRateModelFinal, lr_w, learningRateWeightsFinal |
no outgoing calls
no test coverage detected