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Inline requantize kernels #13592

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Merged
merged 1 commit into from
Aug 26, 2025
Merged

Inline requantize kernels #13592

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84 changes: 0 additions & 84 deletions backends/cadence/reference/kernels/kernels.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -11,8 +11,6 @@
#include <algorithm>
#include <cstring>
#include <limits>
#include <numeric>

namespace impl {
namespace reference {
namespace kernels {
Expand Down Expand Up @@ -58,36 +56,6 @@ void dequantize(
}
}

// Requantize the int8_t/uint8_t in value to a uint8_t/int8_t out value.
// The scale and zero_point for requantization are in the args.
template <typename IT, typename OT>
OT requantize(
const IT in,
float in_scale,
int32_t in_zero_point,
float inv_out_scale,
int32_t out_zero_point) {
float dequant = dequantize<IT>(in, in_scale, in_zero_point);
return quantize<OT>(dequant, inv_out_scale, out_zero_point);
}

// Requantize the int8_t/uint8_t in array to a uint8_t/int8_t out array.
// The scale and zero_point for requantization are in the args.
template <typename IT, typename OT>
void requantize(
OT* __restrict__ out,
const IT* __restrict__ in,
float in_scale,
int32_t in_zero_point,
float inv_out_scale,
int32_t out_zero_point,
size_t size) {
for (size_t i = 0; i < size; ++i) {
out[i] = requantize<IT, OT>(
in[i], in_scale, in_zero_point, inv_out_scale, out_zero_point);
}
}

// explicit template instantiation

#define typed_quantize_val(dtype) \
Expand Down Expand Up @@ -136,58 +104,6 @@ typed_dequantize_vec(uint16_t);
typed_dequantize_vec(int32_t);
#undef typed_dequantize_vec

#define typed_requantize_val(itype, otype) \
template otype requantize( \
const itype in, \
float in_scale, \
int32_t in_zero_point, \
float inv_out_scale, \
int32_t out_zero_point);
typed_requantize_val(int8_t, int8_t);
typed_requantize_val(int8_t, uint8_t);
typed_requantize_val(int8_t, int16_t);
typed_requantize_val(int8_t, uint16_t);
typed_requantize_val(uint8_t, int8_t);
typed_requantize_val(uint8_t, uint8_t);
typed_requantize_val(uint8_t, int16_t);
typed_requantize_val(uint8_t, uint16_t);
typed_requantize_val(int16_t, int8_t);
typed_requantize_val(int16_t, uint8_t);
typed_requantize_val(int16_t, int16_t);
typed_requantize_val(int16_t, uint16_t);
typed_requantize_val(uint16_t, int8_t);
typed_requantize_val(uint16_t, uint8_t);
typed_requantize_val(uint16_t, int16_t);
typed_requantize_val(uint16_t, uint16_t);
#undef typed_requantize_val

#define typed_requantize_vec(itype, otype) \
template void requantize( \
otype* __restrict__ out, \
const itype* __restrict__ in, \
float in_scale, \
int32_t in_zero_point, \
float inv_out_scale, \
int32_t out_zero_point, \
size_t size);
typed_requantize_vec(int8_t, int8_t);
typed_requantize_vec(int8_t, uint8_t);
typed_requantize_vec(int8_t, int16_t);
typed_requantize_vec(int8_t, uint16_t);
typed_requantize_vec(uint8_t, int8_t);
typed_requantize_vec(uint8_t, uint8_t);
typed_requantize_vec(uint8_t, int16_t);
typed_requantize_vec(uint8_t, uint16_t);
typed_requantize_vec(int16_t, int8_t);
typed_requantize_vec(int16_t, uint8_t);
typed_requantize_vec(int16_t, int16_t);
typed_requantize_vec(int16_t, uint16_t);
typed_requantize_vec(uint16_t, int8_t);
typed_requantize_vec(uint16_t, uint8_t);
typed_requantize_vec(uint16_t, int16_t);
typed_requantize_vec(uint16_t, uint16_t);
#undef typed_requantize_vec

}; // namespace kernels
}; // namespace reference
}; // namespace impl
40 changes: 18 additions & 22 deletions ...ce/reference/operators/requantize_out.cpp → ...reference/operators/op_requantize_out.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -86,17 +86,15 @@ Tensor& requantize_out(
torch::executor::toString(out.scalar_type()),
torch::executor::toString(out_dtype));

#define typed_requantize(ctype, dtype) \
const ctype* input_data = input.const_data_ptr<ctype>(); \
dtype* out_data = out.mutable_data_ptr<dtype>(); \
kernels::requantize<ctype, dtype>( \
out_data, \
input_data, \
in_scale, \
in_zero_point, \
1.0 / out_scale, \
out_zero_point, \
numel);
#define typed_requantize(ctype, dtype) \
const ctype* input_data = input.const_data_ptr<ctype>(); \
dtype* out_data = out.mutable_data_ptr<dtype>(); \
for (size_t i = 0; i < numel; ++i) { \
float dequant = \
kernels::dequantize<ctype>(input_data[i], in_scale, in_zero_point); \
out_data[i] = \
kernels::quantize<dtype>(dequant, 1 / out_scale, out_zero_point); \
};

#define typed_requantize_in(ctype) \
switch (out_dtype) { \
Expand Down Expand Up @@ -190,17 +188,15 @@ Tensor& requantize_per_tensor_out(
torch::executor::toString(out.scalar_type()),
torch::executor::toString(out_dtype));

#define typed_requantize(ctype, dtype) \
const ctype* input_data = input.const_data_ptr<ctype>(); \
dtype* out_data = out.mutable_data_ptr<dtype>(); \
kernels::requantize<ctype, dtype>( \
out_data, \
input_data, \
static_cast<float>(in_scale), \
static_cast<int32_t>(in_zero_point), \
1.0 / static_cast<float>(out_scale), \
static_cast<int32_t>(out_zero_point), \
numel);
#define typed_requantize(ctype, dtype) \
const ctype* input_data = input.const_data_ptr<ctype>(); \
dtype* out_data = out.mutable_data_ptr<dtype>(); \
for (size_t i = 0; i < numel; ++i) { \
float dequant = \
kernels::dequantize<ctype>(input_data[i], in_scale, in_zero_point); \
out_data[i] = \
kernels::quantize<dtype>(dequant, 1 / out_scale, out_zero_point); \
};

#define typed_requantize_in(ctype) \
switch (out_dtype) { \
Expand Down
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