FM / quantized

/usr/local/lib64/python3.6/site-packages/torch/include/ATen/native/quantized/

/usr/local/lib64/python3.6/site-packages/torch/include/ATen/native/quantized

Name	Size	Mode	Actions
cpu/	-	0755	rm
affine_quantizer.h	3622	0644	edit dl rm
affine_quantizer_base.h	1444	0644	edit dl rm
Copy.h	173	0644	edit dl rm
fake_quant_affine.h	1758	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/ATen/native/quantized/affine_quantizer.h (3622B)

#pragma once

#include <ATen/ATen.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/quantized/affine_quantizer_base.h>

namespace at {
namespace native {

Tensor& quantize_tensor_per_tensor_affine(
    const Tensor& rtensor,
    Tensor& qtensor,
    double scale,
    int64_t zero_point);
Tensor& quantize_tensor_per_channel_affine(
    const Tensor& rtensor,
    Tensor& qtensor,
    Tensor scales,
    Tensor zero_points,
    int64_t axis);

Tensor& quantize_tensor_per_channel_float_qparams(
    const Tensor& rtensor,
    Tensor& qtensor,
    Tensor scales,
    Tensor zero_points,
    int64_t axis);

Tensor& dequantize_tensor_per_tensor_affine(
    const Tensor& qtensor,
    Tensor& rtensor,
    double scale,
    int64_t zero_point);
Tensor& dequantize_tensor_per_channel_affine(
    const Tensor& qtensor,
    Tensor& rtensor,
    Tensor scales,
    Tensor zero_points,
    int64_t axis);
Tensor& dequantize_tensor_per_channel_float_qparams(
    const Tensor& qtensor,
    Tensor& rtensor,
    Tensor scales,
    Tensor zero_points,
    int64_t axis);

using quantize_tensor_per_tensor_affine_fn =
    void (*)(const Tensor& rtensor, Tensor& qtensor, double scale, int64_t zero_point);

using quantize_tensor_per_channel_affine_fn = void (*)(
    const Tensor& rtensor,
    Tensor& qtensor,
    const Tensor& scales,
    const Tensor& zero_points,
    int64_t axis);

using quantize_tensor_per_channel_float_qparams_fn = void (*)(
    const Tensor& rtensor,
    Tensor& qtensor,
    const Tensor& scales,
    const Tensor& zero_points,
    int64_t axis);

using dequantize_tensor_per_tensor_affine_fn =
    void (*)(const Tensor& qtensor, Tensor& rtensor, double scale, int64_t zero_point);

using dequantize_tensor_per_channel_affine_fn = void (*)(
    const Tensor& qtensor,
    Tensor& rtensor,
    const Tensor& scales,
    const Tensor& zero_points,
    int64_t axis);

using dequantize_tensor_per_channel_float_qparams_fn = void (*)(
    const Tensor& qtensor,
    Tensor& rtensor,
    const Tensor& scales,
    const Tensor& zero_points,
    int64_t axis);

using quantize_tensor_per_tensor_affine_sub_byte_fn =
    void (*)(const Tensor& rtensor, Tensor& qtensor, float scale, float zero_point);

using dequantize_tensor_per_tensor_affine_sub_byte_fn =
    void (*)(const Tensor& qtensor, Tensor& rtensor, float scale, float zero_point);

DECLARE_DISPATCH(
    quantize_tensor_per_tensor_affine_fn,
    quantize_tensor_per_tensor_affine_stub);
DECLARE_DISPATCH(
    quantize_tensor_per_channel_affine_fn,
    quantize_tensor_per_channel_affine_stub);
DECLARE_DISPATCH(
    quantize_tensor_per_channel_float_qparams_fn,
    quantize_tensor_per_channel_float_qparams_stub);

DECLARE_DISPATCH(
    dequantize_tensor_per_tensor_affine_fn,
    dequantize_tensor_per_tensor_affine_stub);
DECLARE_DISPATCH(
    dequantize_tensor_per_channel_affine_fn,
    dequantize_tensor_per_channel_affine_stub);
DECLARE_DISPATCH(
    dequantize_tensor_per_channel_float_qparams_fn,
    dequantize_tensor_per_channel_float_qparams_stub);

DECLARE_DISPATCH(
    quantize_tensor_per_tensor_affine_sub_byte_fn,
    quantize_tensor_per_tensor_affine_sub_byte_stub);

DECLARE_DISPATCH(
    dequantize_tensor_per_tensor_affine_sub_byte_fn,
    dequantize_tensor_per_tensor_affine_sub_byte_stub);

template <typename T>
TORCH_API Tensor quantize_tensor(
    Tensor rtensor,
    Tensor qtensor,
    double scale,
    int64_t zero_point);
template <typename T>
TORCH_API Tensor dequantize_tensor(
    Tensor qtensor,
    Tensor rtensor,
    double scale,
    int64_t zero_point);

} // namespace native
} // namespace at

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