| // RUN: mlir-opt -split-input-file -transform-interpreter %s | FileCheck %s |
| |
| module attributes {transform.with_named_sequence} { |
| transform.named_sequence @__transform_main(%root : !transform.any_op {transform.readonly}) { |
| %func_op = transform.structured.match ops{["func.func"]} in %root : (!transform.any_op) -> !transform.op<"func.func"> |
| transform.apply_patterns to %func_op { |
| transform.apply_patterns.tensor.rewrite_as_constant |
| } : !transform.op<"func.func"> |
| transform.yield |
| } |
| } |
| |
| // CHECK-LABEL: func @tensor_generate_constant( |
| // CHECK: %[[cst:.*]] = arith.constant dense<5.000000e+00> : tensor<2x3x5xf32> |
| // CHECK: return %[[cst]] |
| func.func @tensor_generate_constant() -> tensor<2x3x5xf32> { |
| %cst = arith.constant 5.0 : f32 |
| %0 = tensor.generate { |
| ^bb0(%arg0: index, %arg1: index, %arg2: index): |
| tensor.yield %cst : f32 |
| } : tensor<2x3x5xf32> |
| return %0 : tensor<2x3x5xf32> |
| } |
