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fix ModelBase, nnlib

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iperov
2019-03-13 20:53:59 +04:00
parent da0fc2d2e1
commit 8da47fec13
3 changed files with 74 additions and 35 deletions
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models/ModelBase.py
+1 -1
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@@ -90,7 +90,7 @@ class ModelBase(object):
if self.iter == 0 or ask_override:
default_batch_size = 0 if self.iter == 0 else self.options.get('batch_size',0)
self.options['batch_size'] = max(0, io.input_int("Batch_size (?:help skip:0/default) : ", default_batch_size, help_message="Larger batch size is always better for NN's generalization, but it can cause Out of Memory error. Tune this value for your videocard manually."))
self.options['batch_size'] = max(0, io.input_int("Batch_size (?:help skip:%d) : " % (default_batch_size), default_batch_size, help_message="Larger batch size is always better for NN's generalization, but it can cause Out of Memory error. Tune this value for your videocard manually."))
else:
self.options['batch_size'] = self.options.get('batch_size', 0)
models/Model_SAE/Model.py
+2 -2
View File
@@ -271,8 +271,8 @@ class SAEModel(ModelBase):
psd_target_dst_anti_masked_ar = [ pred_src_dst_sigm_ar[i]*target_dstm_anti_sigm_ar[i] for i in range(len(pred_src_dst_sigm_ar))]
if self.is_training_mode:
self.src_dst_opt = AdamCPU(lr=5e-5, beta_1=0.5, beta_2=0.999, tf_cpu_mode=self.options['optimizer_mode']-1)
self.src_dst_mask_opt = AdamCPU(lr=5e-5, beta_1=0.5, beta_2=0.999, tf_cpu_mode=self.options['optimizer_mode']-1)
self.src_dst_opt = Adam(lr=5e-5, beta_1=0.5, beta_2=0.999, tf_cpu_mode=self.options['optimizer_mode']-1)
self.src_dst_mask_opt = Adam(lr=5e-5, beta_1=0.5, beta_2=0.999, tf_cpu_mode=self.options['optimizer_mode']-1)
if self.options['archi'] == 'liae':
src_dst_loss_train_weights = self.encoder.trainable_weights + self.inter_B.trainable_weights + self.inter_AB.trainable_weights + self.decoder.trainable_weights