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December 6, 2023 21:15
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WGAN.py
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File "/home/yanboyang713/Documents/SyntheticOversampling/src/WGAN.py", line 48, in train_step * | |
fake_data = gen(noise, training=True) | |
File "/home/yanboyang713/Documents/SyntheticOversampling/test/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler ** | |
raise e.with_traceback(filtered_tb) from None | |
File "/tmp/__autograph_generated_file6v04vxxq.py", line 10, in tf__call | |
x = ag__.converted_call(ag__.ld(self).input_layer, (ag__.ld(inputs),), None, fscope) | |
ValueError: Exception encountered when calling layer 'generator_1' (type Generator). | |
in user code: | |
File "/home/yanboyang713/Documents/SyntheticOversampling/src/WGAN.py", line 23, in call * | |
x = self.input_layer(inputs) | |
File "/home/yanboyang713/Documents/SyntheticOversampling/test/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler ** | |
raise e.with_traceback(filtered_tb) from None | |
ValueError: tf.function only supports singleton tf.Variables created on the first call. Make sure the tf.Variable is only created once or created outside tf.function. See https://www.tensorflow.org/guide/function#creating_tfvariables for more information. | |
Call arguments received by layer 'generator_1' (type Generator): | |
• inputs=tf.Tensor(shape=(8, 10), dtype=float32) | |
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