for every element in the tensor. Input range is `[-1,1]` and output range is
  `[-inf, inf]`. If input is `-1`, output will be `-inf` and if the
  input is `1`, output will be `inf`. Values outside the range will have
  `nan` as output.

  ```python
  x = tf.constant([-float("inf"), -1, -0.5, 1, 0, 0.5, 10, float("inf")])
  tf.math.atanh(x) ==> [nan -inf -0.54930615 inf  0. 0.54930615 nan nan]
  ```
  }];

  let arguments = (ins

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		{"Float64frombits", Func, 0},
		{"Floor", Func, 0},
		{"Frexp", Func, 0},
		{"Gamma", Func, 0},
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		{"IsNaN", Func, 0},
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		{"Ldexp", Func, 0},
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		{"Ln10", Const, 0},

- Fix the `cloudprovider_azure_api_request_duration_seconds` metric buckets to correctly capture the latency metrics. Previously, the majority of the calls would fall in the "+Inf" bucket. ([#94943](https://github.com/kubernetes/kubernetes/pull/94943), [@marwanad](https://github.com/marwanad)) [SIG Cloud Provider and Instrumentation]