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//
// 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.
ERROR_IF(!power_of_two(H));
ERROR_IF(!power_of_two(W));
for_each(0 <= n < N, 0 <= oy < H, 0 <= ox < W/2 + 1) {
in_out_t sum_real = 0.0;
in_out_t sum_imag = 0.0;
for_each(0 <= iy < H, 0 <= ix < W) {
in_out_t val_real = tensor_read<in_out_t>(input_real, [N,H,W], [n,iy,ix]);
int32_t ay = (static_cast<size_t>(iy) * static_cast<size_t>(oy)) % static_cast<int32_t>(H);
int32_t ax = (static_cast<size_t>(ix) * static_cast<size_t>(ox)) % static_cast<int32_t>(W);
in_out_t a = sign_val * 2 * pi() * (static_cast<in_out_t>(ay) / H + static_cast<in_out_t>(ax) / W);
sum_real += val_real * cos(a);
if ((ay % (H/2)) + (ax % (W/2)) > 0) {
sum_imag += -val_real * sin(a);
}
}
tensor_write<in_out_t>(output_real, [N,H,W], [n,oy,ox], sum_real);
tensor_write<in_out_t>(output_imag, [N,H,W], [n,oy,ox], sum_imag);
}
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