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jh 2021-03-12 18:36:41 -08:00
commit 6a68dd5e59
2 changed files with 14 additions and 18 deletions
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13
core/leras/layers/MsSsim.py
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@ -1,5 +1,6 @@
from core.leras import nn from core.leras import nn
tf = nn.tf tf = nn.tf
tf2 = nn.tf2
class MsSsim(nn.LayerBase): class MsSsim(nn.LayerBase):
default_power_factors = (0.0448, 0.2856, 0.3001, 0.2363, 0.1333) default_power_factors = (0.0448, 0.2856, 0.3001, 0.2363, 0.1333)
@ -20,15 +21,7 @@ class MsSsim(nn.LayerBase):
y_true_t = tf.transpose(tf.cast(y_true, tf.float32), [0, 2, 3, 1]) y_true_t = tf.transpose(tf.cast(y_true, tf.float32), [0, 2, 3, 1])
y_pred_t = tf.transpose(tf.cast(y_pred, tf.float32), [0, 2, 3, 1]) y_pred_t = tf.transpose(tf.cast(y_pred, tf.float32), [0, 2, 3, 1])
loss = tf2.image.ssim_multiscale(y_true_t, y_pred_t, max_val, power_factors=self.power_factors)
def assign_device(op): return (1.0 - loss) / 2.0
if op.type != 'Assert' or op.type != 'ListDiff':
return '/gpu:0'
else:
return '/cpu:0'
with tf.device(assign_device):
loss = tf.image.ssim_multiscale(y_true_t, y_pred_t, max_val, power_factors=self.power_factors)
return (1.0 - loss) / 2.0
nn.MsSsim = MsSsim nn.MsSsim = MsSsim

3
core/leras/nn.py
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@ -31,6 +31,7 @@ class nn():
current_DeviceConfig = None current_DeviceConfig = None
tf = None tf = None
tf2 = None
tf_sess = None tf_sess = None
tf_sess_config = None tf_sess_config = None
tf_default_device = None tf_default_device = None
@ -86,6 +87,8 @@ class nn():
if tf_version[0] == '2': if tf_version[0] == '2':
tf = tensorflow.compat.v1 tf = tensorflow.compat.v1
tf2 = tensorflow
nn.tf2 = tf2
else: else:
tf = tensorflow tf = tensorflow