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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18230 Implementing minimum qtensor API to unblock other workstreams in quantization Changes: - Added Quantizer which represents different quantization schemes - Added qint8 as a data type for QTensor - Added a new ScalarType QInt8 - Added QTensorImpl for QTensor - Added following user facing APIs - quantize_linear(scale, zero_point) - dequantize() - q_scale() - q_zero_point() Reviewed By: dzhulgakov Differential Revision: D14524641 fbshipit-source-id: c1c0ae0978fb500d47cdb23fb15b747773429e6c
Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.
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