blob: b13a5adc3d6cfb278339f24dbdf5c93c81c1a077 [file] [log] [blame]
//
// This confidential and proprietary software may be used only as
// authorised by a licensing agreement from ARM Limited
// (C) COPYRIGHT 2020-2024 ARM Limited
// ALL RIGHTS RESERVED
// The entire notice above must be reproduced on all authorised
// copies and copies may only be made to the extent permitted
// by a licensing agreement from ARM Limited.
for_each(index in shape) {
// uint16 values can have zero_point 0 or 32768
// int8/uint8 can have zero point within their valid range
// No other types can have zero point != 0
ERROR_IF(in_t != i8_t &&
(in_t != i16_t || input_unsigned == false) && input_zp != 0);
ERROR_IF(out_t != i8_t &&
(out_t != i16_t || output_unsigned == false) && output_zp != 0);
ERROR_IF(in_t == i16_t && input_unsigned == true && input_zp != 0 && input_zp != 32768);
ERROR_IF(out_t == i16_t && output_unsigned == true && output_zp != 0 && output_zp != 32768);
ERROR_IF(scale32 && in_t == i48_t);
ERROR_IF(!scale32 && double_round);
ERROR_IF(in_t == i16_t && out_t == i32_t && input_unsigned);
ERROR_IF(in_t == i32_t && out_t == i16_t && output_unsigned);
in_t in_value = tensor_read<in_t>(input, shape, index);
int48_t value, extended_in_zp;
if (input_unsigned) {
value = zero_extend<int48_t>(in_value);
extended_in_zp = zero_extend<int48_t>(input_zp);
}
else {
value = sign_extend<int48_t>(value);
extended_in_zp = sign_extend<int48_t>(input_zp);
}
value = value - extended_in_zp;
int c = (per_channel) ? index[rank(input) - 1] : 0;
int32_t result = (scale32) ?
apply_scale_32(value, multiplier[c], shift[c], double_round) :
apply_scale_16(value, multiplier[c], shift[c]);
if (output_unsigned) {
int32_t extended_out_zp = zero_extend<int32_t>(output_zp);
result = apply_add_s<int32_t>(result, extended_out_zp);
out_t out = static_cast<out_t>(apply_clip_u<i32_t>(result,
minimum_u<out_t>(),
maximum_u<out_t>()));
}
else {
int32_t extended_out_zp = sign_extend<int32_t>(output_zp);
result = apply_add_s<int32_t>(result, extended_out_zp);
out_t out = static_cast<out_t>(apply_clip_s<i32_t>(result,
minimum_s<out_t>(),
maximum_s<out_t>()));
}
tensor_write<out_t>(output, shape, index, out);
}