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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def compute_q(self, query_antecedent):
 """Compute query Tensor q. Args: query_antecedent: a Tensor with dimensions {query_input_dim} + other_dims Returns: a Tensor with dimensions query_heads_dims + {key_dim} + other_dims """

    ret = mtf.einsum(
        [query_antecedent, self.wq], reduced_dims=[self.query_input_dim])
    if self.combine_dims:
      ret = mtf.replace_dimensions(ret, ret.shape.dims[-1], self.q_dims)
    return ret