#pragma once
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#include <c10/core/TensorTypeId.h>
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#include <c10/core/DeviceType.h>
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#include <c10/util/Exception.h>
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namespace c10 {
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/**
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* QScheme is an enum that specifies the type of quantization. This has a one
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* to one correspondence with Quantizer
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* Please refer to ATen/quantized/Quantizer.h to see the Quantizers classes.
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* Keep this file in sync with torch/nn/_qscheme.py
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*/
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enum class QScheme : uint8_t {
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PER_TENSOR_AFFINE = 0,
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PER_CHANNEL_AFFINE = 1,
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PER_TENSOR_SYMMETRIC = 2,
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PER_CHANNEL_SYMMETRIC = 3,
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COMPILE_TIME_NUM_QSCHEMES = 4,
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};
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constexpr auto kPerTensorAffine = QScheme::PER_TENSOR_AFFINE;
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constexpr auto kPerChannelAffine = QScheme::PER_CHANNEL_AFFINE;
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constexpr auto kPerTensorSymmetric = QScheme::PER_TENSOR_SYMMETRIC;
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constexpr auto kPerChannelSymmetric = QScheme::PER_CHANNEL_SYMMETRIC;
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constexpr int COMPILE_TIME_NUM_QSCHEMES =
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static_cast<int>(QScheme::COMPILE_TIME_NUM_QSCHEMES);
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inline std::string toString(QScheme qscheme) {
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switch(qscheme) {
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case kPerTensorAffine:
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return "per_tensor_affine";
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case kPerChannelAffine:
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return "per_channel_affine";
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case kPerTensorSymmetric:
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return "per_tensor_symmetric";
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case kPerChannelSymmetric:
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return "per_channel_symmetric";
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default:
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TORCH_CHECK(false, "Unrecognized qscheme: ", static_cast<int>(qscheme));
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}
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}
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} // namespace c10
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