| // |
| // 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(rank(shape1) != rank(shape)); |
| ERROR_IF(tensor_size(shape1) != tensor_size(shape)); |
| |
| for_each(index in perms) { |
| // Ensure each perms value is a valid value |
| ERROR_IF(index >= rank(shape1)); |
| ERROR_IF(index < 0); |
| // Ensure ranks aren't repeated |
| ERROR_IF(indexes_used[index] == true); |
| indexes_used[index] = true; |
| } |
| |
| // Ensure that the output shapes have the properly |
| // permuted shapes |
| for(i = 0; i < rank(shape); i++) { |
| ERROR_IF(shape1[perms[i]] != shape[i]); |
| } |
| |
| for_each(index in shape) { |
| shape_t tmp_index = index; |
| for(i = 0; i < rank(shape); i++) { |
| tmp_index[perms[i]] = index[i]; |
| } |
| in_out_t value = tensor_read<in_out_t>(input1, shape1, tmp_index); |
| tensor_write<in_out_t>(output, shape, index, value); |
| } |