ZhiweiYan-96 c418a9ac75 [Intel GPU] XPUInductorQuantizer for XPU int8 recipe customization (#139578) ... # Motivation This PR add `XPUInductorQuantizer`, which would defined the recipe of int8 quantization at XPU backend. # Detailed The `XPUInductorQuantizer` is class derived from `X86InductorQuantizer` as both quantizer would take the advantage of highly optimized operators in oneDNN library(qconv, qlinear, qconv/qlinear fusion). We share the same recipe as `X86InductorQuantizer`, so we would have same `annotate_xxxx` methods. So, in ideal situation, the `XPUInductorQuantizer` would have no class body as all implementation can inherit from base class. In this PR, we override the `annotate_xxx` method for operators that has NOT be implemented. All operators XPU backend does not implement would be fallbacked to fp32 implementation as the node in graph is a `dq-op-q` pairs. This would help provide good OOB usability for XPU backend. On the other hand, the implemented operators would uses `annotate_op` implemented in base class and could be lowered successfully. Pull Request resolved: https://github.com/pytorch/pytorch/pull/139578 Approved by: https://github.com/EikanWang, https://github.com/leslie-fang-intel, https://github.com/CuiYifeng, https://github.com/jerryzh168 ghstack dependencies: #133080		2024-11-26 09:44:14 +00:00
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_internal	[Intel GPU] XPUInductorQuantizer for XPU int8 recipe customization (#139578)	2024-11-26 09:44:14 +00:00
__init__.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00
_comparison.py	Strict shape checking for NJTs with TestCase.assertEqual() (#131898)	2024-07-30 20:05:48 +00:00
_creation.py	Ensure noncontiguous tensor creation tests offsetting (#136396)	2024-10-02 00:40:43 +00:00
_utils.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00