clang-p2996

caio/clang-p2996

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Author	SHA1	Message	Date
Stella Laurenzo	5065839da7	Upstream the Quantizer tool (part 4). This adds the basic passes needed and ties them into mlir-opt. Also adds two specific unit tests that exercise them. Next step is a standalone quantizer tool and additional cleanup. Tested: ninja check-mlir -- PiperOrigin-RevId: 249167690	2019-06-01 19:53:12 -07:00
Geoffrey Martin-Noble	090662c5f3	Rename VectorOrTensorType to ShapedType 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 -- PiperOrigin-RevId: 248476449	2019-05-20 13:43:58 -07:00
Stella Laurenzo	d4d8dc8db9	Start to introduce the "Quantizer" tool, which is responsible for transforming a computation expressed in floating point to one operating in terms of quantized types (where possible), either using quant-aware-training hints where available or post-training statistics. This is being integrated from an experimental side repository piece by piece over the course of several patches and will ultimately include full build support, documentation and e2e tests. -- PiperOrigin-RevId: 248259895	2019-05-20 13:42:30 -07:00

Author

SHA1

Message

Date

Stella Laurenzo

5065839da7

Upstream the Quantizer tool (part 4).

This adds the basic passes needed and ties them into mlir-opt. Also adds two specific unit tests that exercise them.

    Next step is a standalone quantizer tool and additional cleanup.
    Tested:
      ninja check-mlir

--

PiperOrigin-RevId: 249167690

2019-06-01 19:53:12 -07:00

Geoffrey Martin-Noble

090662c5f3

Rename VectorOrTensorType to ShapedType

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

--

PiperOrigin-RevId: 248476449

2019-05-20 13:43:58 -07:00

Stella Laurenzo

d4d8dc8db9

Start to introduce the "Quantizer" tool, which is responsible for transforming a computation expressed in floating point to one operating in terms of quantized types (where possible), either using quant-aware-training hints where available or post-training statistics.

This is being integrated from an experimental side repository piece by piece over the course of several patches and will ultimately include full build support, documentation and e2e tests.

--

PiperOrigin-RevId: 248259895

2019-05-20 13:42:30 -07:00

3 Commits