| 144 | } |
| 145 | |
| 146 | size_t ReduceForwardImpl::get_workspace_in_bytes( |
| 147 | const TensorLayout& src, const TensorLayout& dst) { |
| 148 | megdnn_assert( |
| 149 | param().data_type != Reduce::DataType::FLOAT_IO16xC32, |
| 150 | "FLOAT_IO16xC32 is deprecated"); |
| 151 | using namespace device_reduce; |
| 152 | size_t A, B, C; |
| 153 | reduce::get_ABC(src, A, B, C, param().axis); |
| 154 | #define CASE(_mode, _op) \ |
| 155 | case _mode: { \ |
| 156 | return dispatch_dtype_workspace<_op>(src, dst, A, B, C, param().data_type); \ |
| 157 | break; \ |
| 158 | } |
| 159 | |
| 160 | switch (param().mode) { |
| 161 | CASE(Mode::SUM, SumOp) |
| 162 | CASE(Mode::SUM_SQR, SumSqrOp) |
| 163 | CASE(Mode::PRODUCT, ProdOp) |
| 164 | CASE(Mode::MIN, MinOp) |
| 165 | CASE(Mode::MAX, MaxOp) |
| 166 | CASE(Mode::MEAN, MeanOp) |
| 167 | default: |
| 168 | megdnn_assert_internal(false); |
| 169 | } |
| 170 | #undef CASE |
| 171 | } |
| 172 | } // namespace rocm |
| 173 | } // namespace megdnn |
| 174 | |