| // |
| // 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); |
| } |