[SYSTEMDS-3780] Compression-fused quantization

[anuunchin]

This PR is part of the LDE project, addressing #3780.

What for?

To introduce a new instruction to fuse quantization and compression.

Given:

M2 = floor(M * S)
C = compress(M2)

This PR adds a rewrite and instruction that replaces the sequence with a new built-in function:
quantize_compress(M, S)

Currently covered

• Rewrite detection - Identifies multiplication, floor, and compress sequences.quantize_compress()
• Supports scalar and row-wise vector scale factors
• New reader that directly quantizes input data
• Some fast path compression scenarios that don't use readers
• Bitmap encoding that takes into account quantization (not full)
• Estimator that takes into account quantization (not full)

Further

• Component tests
• Extensive catches if not implemented on all levels
• Missing fast path compression implementation
• Enable full matrix scale factors
• Docs

[Baunsgaard]

Lots of very good things,

I have left a few comments, And i would like to see some performance numbers.

Specifically, with the fused operator vs without.

You can run it across various sizes, or distinct values after quantization.