blob: b8fdea9d572e1ddbc7c590e462c79e2b2f58e53b [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) {
in_t in = tensor_read<in_t>(input, shape, index);
out_t out;
if (out_t == bool_t) {
out = (in != 0) ? true : false;
} else if (is_floating_point<out_t>()) {
// Conversion to float cases
if (in_t == bool_t) {
out = (in) ? 1.0 : 0.0;
}
if (is_saturating_float_type<out_t>()) {
out = round_to_nearest_float_saturating(in);
} else {
out = round_to_nearest_float_nonsaturating(in);
}
} else {
// Conversion to integer cases
if (in_t == bool_t) {
out = (in) ? 1 : 0;
} else if (is_floating_point<in_t>()) {
out = truncate<out_t>(apply_clip_s<i32_t>(round_to_nearest_int(in), minimum_s<out_t>(), maximum_s<out_t>()));
} else if (sizeof<out_t>() >= sizeof<in_t>()) {
out = sign_extend<out_t>(in);
} else {
out = truncate<out_t>(in);
}
}
tensor_write<out_t>(output, shape, index, out);
}