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This repository was archived by the owner on Jan 29, 2026. It is now read-only.
This repository was archived by the owner on Jan 29, 2026. It is now read-only.

Tensorflow 2.4 Support #14

@zeyaddeeb

Description

@zeyaddeeb

I'm running into an issue with tensorflow 2.4

import tensorflow as tf
tf.__version__
>>> 2.4.0

from vectorhub.encoders.text.tfhub import Bert2Vec
model = Bert2Vec()
>>> 
    ValueError: Could not find matching function to call loaded from the SavedModel. Got:
      Positional arguments (3 total):
        * {'input_word_ids': <tf.Tensor 'inputs_2:0' shape=(None, 512) dtype=int32>, 'input_mask': <tf.Tensor 'inputs:0' shape=(None, 512) dtype=int32>, 'input_type_ids': <tf.Tensor 'inputs_1:0' shape=(None, 512) dtype=int32>}
        * False
        * None
      Keyword arguments: {}

    Expected these arguments to match one of the following 4 option(s):

    Option 1:
      Positional arguments (3 total):
        * [TensorSpec(shape=(None, None), dtype=tf.int32, name='inputs/0'), TensorSpec(shape=(None, None), dtype=tf.int32, name='inputs/1'), TensorSpec(shape=(None, None), dtype=tf.int32, name='inputs/2')]
        * False
        * None
      Keyword arguments: {}

    Option 2:
      Positional arguments (3 total):
        * [TensorSpec(shape=(None, None), dtype=tf.int32, name='inputs/0'), TensorSpec(shape=(None, None), dtype=tf.int32, name='inputs/1'), TensorSpec(shape=(None, None), dtype=tf.int32, name='inputs/2')]
        * True
        * None
      Keyword arguments: {}

    Option 3:
      Positional arguments (3 total):
        * [TensorSpec(shape=(None, None), dtype=tf.int32, name='input_word_ids'), TensorSpec(shape=(None, None), dtype=tf.int32, name='input_mask'), TensorSpec(shape=(None, None), dtype=tf.int32, name='input_type_ids')]
        * True
        * None
      Keyword arguments: {}

    Option 4:
      Positional arguments (3 total):
        * [TensorSpec(shape=(None, None), dtype=tf.int32, name='input_word_ids'), TensorSpec(shape=(None, None), dtype=tf.int32, name='input_mask'), TensorSpec(shape=(None, None), dtype=tf.int32, name='input_type_ids')]
        * False
        * None
      Keyword arguments: {}

Any suggestion on how to fix that?

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