Replace FloatUtils Conversion to Integral types through unions with casting

[abhishekdahad-1]

FloatUtils.cs contains an overloaded function GetBits that takes Single/Double precision floating point values and converts them into the corresponding unsigned integral types with the same width. The disassembly for this function will have a store-load dependency which can be reduced to a single mov instruction.

The function utilizes the internal union that is stored in the class, by writing into the floating point field, and then reading from the integral field. This can be observed in the Microsoft.ML.PerformanceTests.HashBench.HashScalarDouble testcase, when inspecting the HashRound function in Hashing.cs:

private uint HashRound(uint seed, double value, bool old)
{
      ulong v = FloatUtils.GetBits(value == 0 ? 0 : value);
      var hash = Hashing.MurmurRound(seed, Utils.GetLo(v));
      var hi = Utils.GetHi(v);
      if (old && hi == 0)
          return hash;
      return Hashing.MurmurRound(hash, hi);
}

When value is converted from a double to a ulong, the corresponding assembly code will look like this because of union semantics:

vmovsd qword ptr [rsp+0x28], xmm1		
mov rdx, qword ptr [rsp+0x28]		

This can be collapsed into a single instruction like so:

movq rdx, xmm1

When benchmarked on both Microsoft.ML.PerformanceTests.HashBench.HashScalarDouble and Microsoft.ML.PerformanceTests.HashBench.HashScalarFloat, it shows a performance improvement.
Before:

Method	Mean	Error	StdDev	Extra Metric
HashScalarDouble	485.0 us	9.43 us	10.09 us	-
HashScalarFloat	376.4 us	0.71 us	0.63 us	-

After:

Method	Mean	Error	StdDev	Extra Metric
HashScalarDouble	472.2 us	2.44 us	2.16 us	-
HashScalarFloat	362.3 us	0.82 us	0.77 us	-

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 69.88%. Comparing base (b97cca4) to head (d3247bd).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #7676      +/-   ##
==========================================
- Coverage   69.88%   69.88%   -0.01%     
==========================================
  Files        1487     1487              
  Lines      276240   276236       -4     
  Branches    28287    28287              
==========================================
- Hits       193046   193043       -3     
- Misses      75703    75705       +2     
+ Partials     7491     7488       -3     

Flag	Coverage Δ
Debug	69.88% <100.00%> (-0.01%)	⬇️
production	64.06% <100.00%> (-0.01%)	⬇️
test	89.83% <ø> (+<0.01%)	⬆️

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Files with missing lines	Coverage Δ
src/Microsoft.ML.Core/Utilities/FloatUtils.cs	11.24% <100.00%> (-0.85%)	⬇️

... and 8 files with indirect coverage changes

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[matouskozak]

Thank you for the PR, the changes looks good to me. There might be other areas where we can do similar improvements (e.g.

machinelearning/src/Microsoft.ML.Core/Utilities/FloatUtils.cs

Lines 429 to 441 in 677a0b8

	public static bool IsFinite(double x)
	{
	var bits = default(DoubleBits);
	bits.Float = x;
	return bits.IsFinite();
	}
	public static bool IsFinite(float x)
	{
	var bits = default(SingleBits);
	bits.Float = x;
	return bits.IsFinite();
	}

). Let me know if you want to handle those also as part of this PR.