| // |
| // 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(axis < 0 || axis >= rank(shape1)); |
| ERROR_IF(shape[axis] != 1); |
| left_shape = (axis > 1) ? shape[0:axis-1] : []; |
| right_shape = (axis < rank(shape)-1) ? shape[axis+1:rank(shape)-1] : []; |
| for_each(left_index in left_shape) { |
| for_each(right_index in right_shape) { |
| in_out_t acc = maximum<in_out_t>; |
| for (i = 0; i < shape1[axis]; i++) { |
| index = flatten(left_index, [i], right_index); |
| in_out_t value = tensor_read<in_out_t>(input, shape1, index); |
| acc = apply_min_s<in_out_t>(acc, value); |
| } |
| out_index = flatten(left_index, [0], right_index); |
| tensor_write<in_out_t>(output, shape, out_index, acc); |
| } |
| } |