From 30ef74cad316596c0737644694df67bd16106ec0 Mon Sep 17 00:00:00 2001 From: cszdlt <1106543196@qq.com> Date: Tue, 3 Dec 2019 15:21:55 +0800 Subject: [PATCH] Update Model.py modify learn rate to 1e-6 --- models/Model_SAEHD/Model.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/models/Model_SAEHD/Model.py b/models/Model_SAEHD/Model.py index 0d5dac3..0e35073 100644 --- a/models/Model_SAEHD/Model.py +++ b/models/Model_SAEHD/Model.py @@ -452,9 +452,9 @@ class SAEHDModel(ModelBase): psd_target_dst_anti_masked = self.model.pred_src_dst*(1.0 - target_dstm) if self.is_training_mode: - self.src_dst_opt = RMSprop(lr=1e-5, clipnorm=1.0 if self.options['clipgrad'] else 0.0, tf_cpu_mode=self.options['optimizer_mode']-1) - self.src_dst_mask_opt = RMSprop(lr=1e-5, clipnorm=1.0 if self.options['clipgrad'] else 0.0, tf_cpu_mode=self.options['optimizer_mode']-1) - self.D_opt = RMSprop(lr=1e-5, clipnorm=1.0 if self.options['clipgrad'] else 0.0, tf_cpu_mode=self.options['optimizer_mode']-1) + self.src_dst_opt = RMSprop(lr=1e-6, clipnorm=1.0 if self.options['clipgrad'] else 0.0, tf_cpu_mode=self.options['optimizer_mode']-1) + self.src_dst_mask_opt = RMSprop(lr=1e-6, clipnorm=1.0 if self.options['clipgrad'] else 0.0, tf_cpu_mode=self.options['optimizer_mode']-1) + self.D_opt = RMSprop(lr=1e-6, clipnorm=1.0 if self.options['clipgrad'] else 0.0, tf_cpu_mode=self.options['optimizer_mode']-1) src_loss = K.mean ( 10*dssim(kernel_size=int(resolution/11.6),max_value=1.0)( target_src_masked_opt, pred_src_src_masked_opt) ) src_loss += K.mean ( 10*K.square( target_src_masked_opt - pred_src_src_masked_opt ) )