DynamicDequantize#

DynamicDequantize operation converts a quantized (s8 or u8) tensor to a f32 tensor. It supports both per-tensor and per-channel asymmetric linear de-quantization. Rounding mode is library-implementation defined. Unlike the Dequantize, DynamicDequantize takes scales and zero-points as operator src tensors.

For per-tensor de-quantization

\[dst = (src - zps)*scales\]

For per-channel de-quantization, taking channel axis = 1 as an example:

\[\dst_{\cdots,i,\cdots,\cdots} = (\src_{\cdots,i,\cdots,\cdots} - zps_i) * scales_i, i \in [0,channelNum-1]\]

Operation Attributes#

Attribute

Name

Description

Value Type
Supported

Values
Required or

Optional

qtype

Specifies which de-quantization type is used

string

per_tensor (default), per_channel

Optional

axis

Specifies dimension on which per-channel de-quantization is applied

s64

A s64 value in the range of [-r, r-1] where r = rank(src), 1 by default

Optional

Execution Arguments#

The inputs and outputs must be provided according to the below index order when constructing an operation.

Inputs#

Index

Argument Name

Required or Optional

0

src

Required

1

scales

Required

2

zps

Optional

@note scales is a f32 1D tensor to be applied to the de-quantization formula. For qtype = per-tensor, there should be only one element in the scales tensor. For qtype = per-channel, the element number should be equal to the element number of src tensor along the dimension axis.

@note zps is a 1D tensor with offset values that map to zero. For qtype = per-tensor, there should be only one element in the zps tensor. For qtype = per-channel, the element number should be equal to the element number of input tensor along the dimension axis. If not specified, the library can assume the operator is symmetric de-quantization and perform kernel optimization accordingly.

Outputs#

Index

Argument Name

Required or Optional

0

dst

Required

Supported Data Types#

DynamicDequantize operation supports the following data type combinations.

Src

Dst

Scales

Zps

s8

f32

f32

s8, u8, s32

u8

f32

f32

s8, u8, s32