https://github.com/Microsoft/CNTK
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Tip revision: e2377424a28e9b54bcc0f92373c0d715ca2ed8a3 authored by Bowen Bao on 05 July 2018, 19:49:49 UTC
Moving sequential convolution in python to a new high level api, to maintain compatibility with previous implementation (special case 1d sequential convolution).
Tip revision: e237742
MatrixQuantizerCPU.h
#pragma once

#include "MatrixQuantizerImpl.h"
#include "ColumnQuantizer.h"
#include "QuantizedMatrix.h"
#include "CPUMatrix.h"

#ifdef _WIN32
#ifdef MATH_EXPORTS
#define MATH_API __declspec(dllexport)
#else
#define MATH_API __declspec(dllimport)
#endif
#else // no DLLs on Linux
#define MATH_API
#endif

namespace Microsoft { namespace MSR { namespace CNTK {

//see dbn::matrix quantizer
template <class ElemType>
class MatrixQuantizerCPU final : public MatrixQuantizerImpl<ElemType>
{
public:
    MatrixQuantizerCPU();

    // Disallow copy construction and assignment
    MatrixQuantizerCPU(const MatrixQuantizerCPU&) = delete;
    MatrixQuantizerCPU& operator=(const MatrixQuantizerCPU&) = delete;

    void QuantizeAsync(const Matrix<ElemType>& inMatrix, const Matrix<ElemType>& inResidual, QuantizedMatrix<ElemType>& outQMatrix, Matrix<ElemType>& outResidual, bool zeroThresholdFor1Bit) override;
    void WaitQuantizeAsyncDone() override;

    void UnquantizeAsync(QuantizedMatrix<ElemType>& inQMatrix, Matrix<ElemType>& outMatrix, bool add = false) override;
    void WaitUnquantizeAsyncDone() override;
};
} } }
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