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pytorch/caffe2
Jerry Zhang dfcd7b0185 QTensor (#18230)
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
2019-04-03 13:17:11 -07:00
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Caffe2

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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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