| // |
| // 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(shape != broadcast_shape(shape1, shape2)); |
| for_each(index in shape) { |
| shape_t index1 = apply_broadcast(shape, shape1, index); |
| shape_t index2 = apply_broadcast(shape, shape2, index); |
| in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); |
| in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); |
| |
| // Ensure that shift amount is appropriate for the data type |
| REQUIRE((in_out_t == i32_t && 0 <= value2 && value2 <= 31) || |
| (in_out_t == i16_t && 0 <= value2 && value2 <= 15) || |
| (in_out_t == i8_t && 0 <= value2 && value2 <= 7)); |
| |
| in_out_t result = apply_arith_rshift<in_out_t>(value1, value2); |
| if (round == true && static_cast<int32_t>(value2) > 0 && |
| (apply_arith_rshift<in_out_t>(value1, apply_sub_s<in_out_t>(value2, 1)) & 1 != 0)) { |
| result = result + 1; |
| } |
| result = apply_clip_s<in_out_t>(result, minimum_s<in_out_t>, maximum_s<in_out_t>); |
| tensor_write<in_out_t>(output, shape, index, result); |
| } |