Activation functions need to quantization

These function are used to accelerate quantization algorithms in Synet Framework. More...

Functions
SIMD_API void	SimdSynetQuantizedPreluLayerForward (const uint8_t *src, const float *srcScale, int srcZero, size_t channels, size_t spatial, const float *slope, uint8_t *dst, const float *dstScale, int dstZero, SimdTensorFormatType format)
	This function is used for forward propagation of QuantizedPreluLayer. More...

Detailed Description

These function are used to accelerate quantization algorithms in Synet Framework.

Function Documentation

SimdSynetQuantizedPreluLayerForward()

void SimdSynetQuantizedPreluLayerForward	(	const uint8_t *	src,
		const float *	srcScale,
		int	srcZero,
		size_t	channels,
		size_t	spatial,
		const float *	slope,
		uint8_t *	dst,
		const float *	dstScale,
		int	dstZero,
		SimdTensorFormatType	format
	)

This function is used for forward propagation of QuantizedPreluLayer.

Note

This function is used in Synet Framework.

Parameters

[in]	src	- a pointer to the 8-bit integer array with input tensor.
[in]	srcScale	- a quantization scale parameter of input tensor.
[in]	srcZero	- a quantization zero parameter of input tensor.
[in]	channels	- a number of channels in (input/output) tensors.
[in]	spatial	- a spatial size of (input/output) tensors.
[in]	slope	- a pointer to the 32-bit float array with slope coefficients. The size of the array is equal to channels.
[out]	dst	- a pointer to the 8-bit integer array with output tensor.
[in]	dstScale	- an output quantization scale.
[in]	dstZero	- an output quantization zero.
[in]	format	- a format of (input/output) tensors.