* Disabling TensorFloat-32 execution now causes TPUs to use float32 precision for float32 matmuls and other ops. TPUs have always used bfloat16 precision for certain ops, like matmul, when such ops had float32 inputs. Now, disabling TensorFloat-32 by calling `tf.config.experimental.enable_tensor_float_32_execution(False)` will cause TPUs to use float32 precision for such ops instead of bfloat16.

*  `tf.experimental.dtensor`

- Fixes regression in CPUManager that caused freeing of exclusive CPUs at incorrect times ([#90377](https://github.com/kubernetes/kubernetes/pull/90377), [@cbf123](https://github.com/cbf123)) [SIG Cloud Provider and Node]

EDIT. package fiat // Invert sets e = 1/x, and returns e. // // If x == 0, Invert returns e = 0. func (e *Element) Invert(x *Element) *Element { // Inversion is implemented as exponentiation with exponent p − 2. // The sequence of {{ .Ops.Adds }} multiplications and {{ .Ops.Doubles }} squarings is derived from the // following addition chain generated with {{ .Meta.Module }} {{ .Meta.ReleaseTag }}. // {{- range lines (format .Script) }} // {{ . }} {{- end }} // var z = new(Element).Set(e) {{- range .Program.Temporaries...