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fixed:'str' object has no attribute 'base_dtype'

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Zchen
2025-10-15 23:13:34 +08:00
parent 83621f91f0
commit 6c400a066c
1 changed files with 7 additions and 7 deletions
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14
model_training_nnn_tpu/rnn_model_tf.py
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@@ -99,13 +99,13 @@ class NoiseModel(keras.Model):
self.h0_1 = self.add_weight( self.h0_1 = self.add_weight(
name='h0_1', name='h0_1',
shape=(1, self.input_size), shape=(1, self.input_size),
initializer='glorot_uniform', initializer=tf.keras.initializers.GlorotUniform(),
trainable=True trainable=True
) )
self.h0_2 = self.add_weight( self.h0_2 = self.add_weight(
name='h0_2', name='h0_2',
shape=(1, self.input_size), shape=(1, self.input_size),
initializer='glorot_uniform', initializer=tf.keras.initializers.GlorotUniform(),
trainable=True trainable=True
) )
@@ -284,19 +284,19 @@ class CleanSpeechModel(keras.Model):
self.h0_1 = self.add_weight( self.h0_1 = self.add_weight(
name='h0_1', name='h0_1',
shape=(1, n_units), shape=(1, n_units),
initializer='glorot_uniform', initializer=tf.keras.initializers.GlorotUniform(),
trainable=True trainable=True
) )
self.h0_2 = self.add_weight( self.h0_2 = self.add_weight(
name='h0_2', name='h0_2',
shape=(1, n_units), shape=(1, n_units),
initializer='glorot_uniform', initializer=tf.keras.initializers.GlorotUniform(),
trainable=True trainable=True
) )
self.h0_3 = self.add_weight( self.h0_3 = self.add_weight(
name='h0_3', name='h0_3',
shape=(1, n_units), shape=(1, n_units),
initializer='glorot_uniform', initializer=tf.keras.initializers.GlorotUniform(),
trainable=True trainable=True
) )
@@ -434,13 +434,13 @@ class NoisySpeechModel(keras.Model):
self.h0_1 = self.add_weight( self.h0_1 = self.add_weight(
name='h0_1', name='h0_1',
shape=(1, n_units), shape=(1, n_units),
initializer='glorot_uniform', initializer=tf.keras.initializers.GlorotUniform(),
trainable=True trainable=True
) )
self.h0_2 = self.add_weight( self.h0_2 = self.add_weight(
name='h0_2', name='h0_2',
shape=(1, n_units), shape=(1, n_units),
initializer='glorot_uniform', initializer=tf.keras.initializers.GlorotUniform(),
trainable=True trainable=True
) )