Kimish Patel cfd18e105f [Pytorch][Ondevice quantization] Add device side API to convert model (#83807) ... Summary: This diff adds device side API which will convert the model to its quantized equivalent. THe input model must have been prepared AOT for quantization. API is implemented by: - Running reset obervers - Running observe method - Running quantize method - And replacing method, e.g. forward, with its quantized equivalent. Test Plan: test/quantization/jit/test_ondevice_quantization.py Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D38889818](https://our.internmc.facebook.com/intern/diff/D38889818) Pull Request resolved: https://github.com/pytorch/pytorch/pull/83807 Approved by: https://github.com/iseeyuan		2022-08-29 17:57:38 +00:00
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ao_migration	[quant][ao_migration] torch.nn.qat → torch.ao.nn.qat (#78716)	2022-08-25 16:50:38 +00:00
bc	[quant][ao_migration] torch.nn.quantized.dynamic → torch.ao.nn.quantized.dynamic (#78714)	2022-08-25 16:50:34 +00:00
core	[quant][ao_migration] torch.nn.quantized._reference → torch.ao.nn.quantized._reference (#78715)	2022-08-25 16:50:36 +00:00
eager	conv2d: require bias to have the same dtype as input and weight on cpu (#83686)	2022-08-29 16:41:17 +00:00
fx	[quant][ao_migration] torch.nn.qat → torch.ao.nn.qat (#78716)	2022-08-25 16:50:38 +00:00
jit	[Pytorch][Ondevice quantization] Add device side API to convert model (#83807)	2022-08-29 17:57:38 +00:00
serialized
__init__.py