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1// RUN: mlir-opt %s --transform-preload-library='transform-library-paths=%p/match_matmul_common.mlir' --transform-interpreter --verify-diagnostics2 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_op15 %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, %batch24 : !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_op36 transform.debug.emit_remark_at %bmm, "batch matmul" : !transform.any_op37 transform.debug.emit_param_as_remark %dims, "dimensions" at %bmm : !transform.param<i64>, !transform.any_op38 transform.debug.emit_param_as_remark %lhs_type, "LHS type" at %bmm : !transform.type, !transform.any_op39 transform.debug.emit_param_as_remark %rhs_type, "RHS type" at %bmm : !transform.type, !transform.any_op40 transform.debug.emit_param_as_remark %res_type, "result type" at %bmm : !transform.type, !transform.any_op41 transform.debug.emit_param_as_remark %batch, "batch dimension" at %bmm : !transform.param<i64>, !transform.any_op42 transform.yield43 }44 45 transform.named_sequence @__transform_main(%root: !transform.any_op {transform.consumed}) {46 transform.foreach_match in %root47 @match_bmm -> @print_bmm48 : (!transform.any_op) -> !transform.any_op49 transform.yield50 }51}52 53func.func @bmm_simple(%lhs: tensor<40x10x20xf16>, %rhs: tensor<40x20x15xf32>) -> tensor<40x10x15xf64>{54 %cst = arith.constant 0.0 : f6455 %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