1// RUN: mlir-opt %s --transform-preload-library='transform-library-paths=%p/match_matmul_common.mlir' --transform-interpreter --verify-diagnostics 2 3module attributes { transform.with_named_sequence } { 4 transform.named_sequence @_match_matmul_like( 5 %entry: !transform.any_op {transform.readonly}, 6 %rank: !transform.param<i64> {transform.readonly}) 7 -> (!transform.any_op, !transform.any_op, !transform.param<i64>, 8 !transform.type, !transform.type, !transform.type, 9 !transform.param<i64>, !transform.param<i64>, !transform.param<i64>, !transform.param<i64>) 10 11 transform.named_sequence @match_bmm(%entry: !transform.any_op {transform.readonly}) 12 -> (!transform.any_op, !transform.any_op, !transform.param<i64>, 13 !transform.type, !transform.type, !transform.type, !transform.param<i64>) { 14 transform.match.operation_name %entry ["linalg.batch_matmul", "linalg.generic"] : !transform.any_op 15 %c3 = transform.param.constant 4 : i64 -> !transform.param<i64> 16 %fill, %bmm, %dims, %lhs_type, %rhs_type, %res_type, %batch, %m, %n, %k = 17 transform.include @_match_matmul_like failures(propagate) (%entry, %c3) 18 : (!transform.any_op, !transform.param<i64>) 19 -> (!transform.any_op, !transform.any_op, !transform.param<i64>, 20 !transform.type, !transform.type, !transform.type, 21 !transform.param<i64>, !transform.param<i64>, !transform.param<i64>, !transform.param<i64>) 22 23 transform.yield %fill, %bmm, %dims, %lhs_type, %rhs_type, %res_type, %batch 24 : !transform.any_op, !transform.any_op, !transform.param<i64>, !transform.type, !transform.type, !transform.type, !transform.param<i64> 25 } 26 27 transform.named_sequence @print_bmm( 28 %fill: !transform.any_op {transform.readonly}, 29 %bmm: !transform.any_op {transform.readonly}, 30 %dims: !transform.param<i64> {transform.readonly}, 31 %lhs_type: !transform.type {transform.readonly}, 32 %rhs_type: !transform.type {transform.readonly}, 33 %res_type: !transform.type {transform.readonly}, 34 %batch: !transform.param<i64> {transform.readonly}) { 35 transform.debug.emit_remark_at %fill, "fill" : !transform.any_op 36 transform.debug.emit_remark_at %bmm, "batch matmul" : !transform.any_op 37 transform.debug.emit_param_as_remark %dims, "dimensions" at %bmm : !transform.param<i64>, !transform.any_op 38 transform.debug.emit_param_as_remark %lhs_type, "LHS type" at %bmm : !transform.type, !transform.any_op 39 transform.debug.emit_param_as_remark %rhs_type, "RHS type" at %bmm : !transform.type, !transform.any_op 40 transform.debug.emit_param_as_remark %res_type, "result type" at %bmm : !transform.type, !transform.any_op 41 transform.debug.emit_param_as_remark %batch, "batch dimension" at %bmm : !transform.param<i64>, !transform.any_op 42 transform.yield 43 } 44 45 transform.named_sequence @__transform_main(%root: !transform.any_op {transform.consumed}) { 46 transform.foreach_match in %root 47 @match_bmm -> @print_bmm 48 : (!transform.any_op) -> !transform.any_op 49 transform.yield 50 } 51} 52 53func.func @bmm_simple(%lhs: tensor<40x10x20xf16>, %rhs: tensor<40x20x15xf32>) -> tensor<40x10x15xf64>{ 54 %cst = arith.constant 0.0 : f64 55 %empty = tensor.empty() : tensor<40x10x15xf64> 56 // expected-remark @below {{fill}} 57 %fill = linalg.fill ins(%cst : f64) outs(%empty : tensor<40x10x15xf64>) -> tensor<40x10x15xf64> 58 // expected-remark @below {{batch matmul}} 59 // expected-remark @below {{dimensions 40 : i64, 10 : i64, 15 : i64, 20 : i64}} 60 // expected-remark @below {{LHS type f16}} 61 // expected-remark @below {{RHS type f32}} 62 // expected-remark @below {{result type f64}} 63 // expected-remark @below {{batch dimension 0}} 64 %result = linalg.batch_matmul ins(%lhs, %rhs: tensor<40x10x20xf16>, tensor<40x20x15xf32>) outs(%fill: tensor<40x10x15xf64>) -> tensor<40x10x15xf64> 65 return %result : tensor<40x10x15xf64> 66} 67