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PiperOrigin-RevId: 286906740
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A new converter with per axis quantization parameters is added to quantize a
dense elements attribute. For each slice along the quantization axis, it
creates an uniform quantized value converter, with different scale and zero
point, and quantizes the values in the slice.
The current implementation doesn't handle sparse elements attributes.
PiperOrigin-RevId: 270121986
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PiperOrigin-RevId: 268090906
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This is in preparation for making it also support/be a parent class of MemRefType. MemRefs have similar shape/rank/element semantics and it would be useful to be able to use these same utilities for them.
This CL should not change any semantics and only change variables, types, string literals, and comments. In follow-up CLs I will prepare all callers to handle MemRef types or remove their dependence on ShapedType.
Discussion/Rationale in https://groups.google.com/a/tensorflow.org/forum/#!topic/mlir/cHLoyfGu8y8
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PiperOrigin-RevId: 248476449
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Adding the additional layer of directory was discussed offline and matches the Target/ tree. The names match the defacto convention we seem to be following where the C++ namespace is ^(.+)Ops/$ matched against the directory name.
This is in preparation for patching the Quantizer into this tree, which would have been confusing without moving the Quantization dialect to its more proper home. It is left to others to move other dialects if desired.
Tested:
ninja check-mlir
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PiperOrigin-RevId: 248171982
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