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when dataset = tf_data.Dataset.from_tensor_slices((images, labels)) is used with map function to call a sequential model of augmentation layers results in Cannot convert a symbolic tf.Tensor (args_0:0) to a numpy array. error repro here
The text was updated successfully, but these errors were encountered:
Error with JAX and Torch backend
when dataset = tf_data.Dataset.from_tensor_slices((images, labels)) is used with map function to call a sequential model of augmentation layers results in Cannot convert a symbolic tf.Tensor (args_0:0) to a numpy array. error
repro here
The text was updated successfully, but these errors were encountered: