| // RUN: mlir-opt -shape-to-shape-lowering -split-input-file %s | FileCheck %s |
| |
| // CHECK-LABEL: func @num_elements_to_reduce |
| // CHECK-SAME: ([[ARG:%.*]]: !shape.shape) -> !shape.size |
| func @num_elements_to_reduce(%shape : !shape.shape) -> !shape.size { |
| %num_elements = shape.num_elements %shape : !shape.shape -> !shape.size |
| return %num_elements : !shape.size |
| } |
| // CHECK: [[C1:%.*]] = shape.const_size 1 |
| // CHECK: [[NUM_ELEMENTS:%.*]] = shape.reduce([[ARG]], [[C1]]) : !shape.shape -> !shape.size |
| // CHECK: ^bb0({{.*}}: index, [[DIM:%.*]]: !shape.size, [[ACC:%.*]]: !shape.size |
| // CHECK: [[NEW_ACC:%.*]] = shape.mul [[DIM]], [[ACC]] |
| // CHECK: shape.yield [[NEW_ACC]] : !shape.size |
| // CHECK: } |
| // CHECK: return [[NUM_ELEMENTS]] : !shape.size |
| |
| // ----- |
| |
| // CHECK-LABEL: func @num_elements_to_reduce_on_index |
| // CHECK-SAME: ([[ARG:%.*]]: tensor<?xindex>) -> index |
| func @num_elements_to_reduce_on_index(%shape : tensor<?xindex>) -> index { |
| %num_elements = shape.num_elements %shape : tensor<?xindex> -> index |
| return %num_elements : index |
| } |
| // CHECK: [[C1:%.*]] = arith.constant 1 : index |
| // CHECK: [[NUM_ELEMENTS:%.*]] = shape.reduce([[ARG]], [[C1]]) : tensor<?xindex> -> index |
| // CHECK: ^bb0({{.*}}: index, [[DIM:%.*]]: index, [[ACC:%.*]]: index |
| // CHECK: [[NEW_ACC:%.*]] = shape.mul [[DIM]], [[ACC]] |
| // CHECK: shape.yield [[NEW_ACC]] : index |
| // CHECK: } |
| // CHECK: return [[NUM_ELEMENTS]] : index |
