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// RUN: mlir-opt %s --test-transform-dialect-interpreter='transform-library-file-name=%p/match_matmul_common.mlir' --verify-diagnostics
module attributes { transform.with_named_sequence } {
transform.named_sequence @_match_matmul_like(
%entry: !transform.any_op {transform.readonly},
%rank: !transform.param<i64> {transform.readonly})
-> (!transform.any_op, !transform.any_op, !transform.param<i64>,
!transform.type, !transform.type, !transform.type,
!transform.param<i64>, !transform.param<i64>, !transform.param<i64>, !transform.param<i64>)
transform.named_sequence @match_bmm(%entry: !transform.any_op {transform.readonly})
-> (!transform.any_op, !transform.any_op, !transform.param<i64>,
!transform.type, !transform.type, !transform.type, !transform.param<i64>) {
transform.match.operation_name %entry ["linalg.batch_matmul", "linalg.generic"] : !transform.any_op
%c3 = transform.param.constant 4 : i64 -> !transform.param<i64>
%fill, %bmm, %dims, %lhs_type, %rhs_type, %res_type, %batch, %m, %n, %k =
transform.include @_match_matmul_like failures(propagate) (%entry, %c3)
: (!transform.any_op, !transform.param<i64>)
-> (!transform.any_op, !transform.any_op, !transform.param<i64>,
!transform.type, !transform.type, !transform.type,
!transform.param<i64>, !transform.param<i64>, !transform.param<i64>, !transform.param<i64>)
transform.yield %fill, %bmm, %dims, %lhs_type, %rhs_type, %res_type, %batch
: !transform.any_op, !transform.any_op, !transform.param<i64>, !transform.type, !transform.type, !transform.type, !transform.param<i64>
}
transform.named_sequence @print_bmm(
%fill: !transform.any_op {transform.readonly},
%bmm: !transform.any_op {transform.readonly},
%dims: !transform.param<i64> {transform.readonly},
%lhs_type: !transform.type {transform.readonly},
%rhs_type: !transform.type {transform.readonly},
%res_type: !transform.type {transform.readonly},
%batch: !transform.param<i64> {transform.readonly}) {
transform.test_print_remark_at_operand %fill, "fill" : !transform.any_op
transform.test_print_remark_at_operand %bmm, "batch matmul" : !transform.any_op
transform.test_print_param %dims, "dimensions" at %bmm : !transform.param<i64>, !transform.any_op
transform.test_print_param %lhs_type, "LHS type" at %bmm : !transform.type, !transform.any_op
transform.test_print_param %rhs_type, "RHS type" at %bmm : !transform.type, !transform.any_op
transform.test_print_param %res_type, "result type" at %bmm : !transform.type, !transform.any_op
transform.test_print_param %batch, "batch dimension" at %bmm : !transform.param<i64>, !transform.any_op
transform.yield
}
transform.sequence failures(propagate) {
^bb(%root: !transform.any_op):
foreach_match in %root
@match_bmm -> @print_bmm
: (!transform.any_op) -> !transform.any_op
}
}
func.func @bmm_simple(%lhs: tensor<40x10x20xf16>, %rhs: tensor<40x20x15xf32>) -> tensor<40x10x15xf64>{
%cst = arith.constant 0.0 : f64
%empty = tensor.empty() : tensor<40x10x15xf64>
// expected-remark @below {{fill}}
%fill = linalg.fill ins(%cst : f64) outs(%empty : tensor<40x10x15xf64>) -> tensor<40x10x15xf64>
// expected-remark @below {{batch matmul}}
// expected-remark @below {{dimensions 40 : i64, 10 : i64, 15 : i64, 20 : i64}}
// expected-remark @below {{LHS type f16}}
// expected-remark @below {{RHS type f32}}
// expected-remark @below {{result type f64}}
// expected-remark @below {{batch dimension 0}}
%result = linalg.batch_matmul ins(%lhs, %rhs: tensor<40x10x20xf16>, tensor<40x20x15xf32>) outs(%fill: tensor<40x10x15xf64>) -> tensor<40x10x15xf64>
return %result : tensor<40x10x15xf64>
}
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