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dfcd7b0185
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
15 lines
289 B
C++
15 lines
289 B
C++
#include <c10/util/Half.h>
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#include <iostream>
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namespace c10 {
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static_assert(
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std::is_standard_layout<Half>::value,
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"c10::Half must be standard layout.");
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std::ostream& operator<<(std::ostream& out, const Half& value) {
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out << (float)value;
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return out;
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}
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} // namespace c10
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