blob: fdcd2f9145103334d3b97dbcbd165df7b707a35b [file] [log] [blame]
// RUN: iree-dialects-opt %s -linalg-interp-transforms -split-input-file | FileCheck %s
// CHECK-LABEL: func @matmul_tensors(
func @matmul_tensors(
%arg0: tensor<128x128xf32>, %arg1: tensor<128x128xf32>, %arg2: tensor<128x128xf32>,
%arg3: tensor<128x128xf32>, %arg4: tensor<128x128xf32>, %arg5: tensor<128x128xf32>,
%arg6: tensor<128x128xf32> {linalg.inplaceable = true})
-> tensor<128x128xf32> {
// This operation is marked for tiling only.
// CHECK-COUNT-3: scf.for
// CHECK-COUNT-3: tensor.extract_slice
// CHECK: linalg.matmul
// CHECK-SAME: -> tensor<4x4xf32>
%0 = linalg.matmul { test.attrA}
ins(%arg0, %arg1: tensor<128x128xf32>, tensor<128x128xf32>)
outs(%arg2: tensor<128x128xf32>)
-> tensor<128x128xf32>
// This operation is marked for tiling and vectorization.
// Note that the loop-invariant read is hoisted out of the innermost loop.
// CHECK: scf.for
// CHECK: scf.for
// CHECK: vector.transfer_read
// CHECK: scf.for
// CHECK: vector.transfer_read
// CHECK: vector.transfer_read
// CHECK: vector.contract
// CHECK-NOT: linalg.matmul
// CHECK: vector.transfer_write
%1 = linalg.matmul { test.attrA, test.attrC}
ins(%arg3, %arg4: tensor<128x128xf32>, tensor<128x128xf32>)
outs(%arg5: tensor<128x128xf32>)
-> tensor<128x128xf32>
// This operation is marked for vectorization only.
// CHECK-NOT: scf.for
// CHECK-COUNT-3: vector.transfer_read
// CHECK: vector.contract
// CHECK-SAME: into vector<128x128xf32>
// CHECK: vector.transfer_write
%2 = linalg.matmul { test.attrC}
ins(%0, %1: tensor<128x128xf32>, tensor<128x128xf32>)
outs(%arg6: tensor<128x128xf32>)
-> tensor<128x128xf32>
return %2 : tensor<128x128xf32>
}
// Match matmul operations inside @matmul_tensors with test.attrA set.
pdl.pattern @pdl_target_attrA : benefit(1) {
%args = operands
%results = types
%attr = attribute
%0 = operation "linalg.matmul"(%args : !pdl.range<value>) {"test.attrA" = %attr}-> (%results : !pdl.range<type>)
apply_native_constraint "nestedInFunc"[@matmul_tensors](%0 : !pdl.operation)
// TODO: we don't want this, but it is the required terminator for pdl.pattern
rewrite %0 with "iree_linalg_transform.apply"
}
// Match matmul operations inside @matmul_tensors with test.attrC set.
pdl.pattern @pdl_target_attrC : benefit(1) {
%args = operands
%results = types
%attr = attribute
%0 = operation "linalg.matmul"(%args : !pdl.range<value>) {"test.attrC" = %attr}-> (%results : !pdl.range<type>)
apply_native_constraint "nestedInFunc"[@matmul_tensors](%0 : !pdl.operation)
// TODO: we don't want this, but it is the required terminator for pdl.pattern
rewrite %0 with "iree_linalg_transform.apply"
}
iree_linalg_transform.sequence {
%0 = match @pdl_target_attrA
tile %0 {sizes = [4, 4, 4]}
%1 = match @pdl_target_attrC
vectorize %1
}
// -----
// CHECK-LABEL: @vectorize_one
func @vectorize_one(
%arg0: tensor<128x128xf32>, %arg1: tensor<128x128xf32>, %arg2: tensor<128x128xf32>,
%arg3: tensor<128x128xf32> {linalg.inplaceable = true})
-> tensor<128x128xf32> {
// CHECK: vector.contract
%0 = linalg.matmul {test.attrA}
ins(%arg0, %arg1: tensor<128x128xf32>, tensor<128x128xf32>)
outs(%arg2: tensor<128x128xf32>)
-> tensor<128x128xf32>
// CHECK: linalg.matmul
%1 = linalg.matmul ins(%arg0, %0: tensor<128x128xf32>, tensor<128x128xf32>)
outs(%arg3: tensor<128x128xf32>)
-> tensor<128x128xf32>
return %1 : tensor<128x128xf32>
}
pdl.pattern @pdl_target : benefit(1) {
%args = operands
%results = types
%attr = attribute
%0 = operation "linalg.matmul"(%args : !pdl.range<value>) {"test.attrA" = %attr}-> (%results : !pdl.range<type>)
apply_native_constraint "nestedInFunc"[@vectorize_one](%0 : !pdl.operation)
// TODO: we don't want this, but it is the required terminator for pdl.pattern
rewrite %0 with "iree_linalg_transform.apply"
}
iree_linalg_transform.sequence {
%0 = match @pdl_target
vectorize %0
}
// -----
// CHECK-LABEL: @vectorize_all
func @vectorize_all(
%arg0: tensor<128x128xf32>, %arg1: tensor<128x128xf32>, %arg2: tensor<128x128xf32>,
%arg3: tensor<128x128xf32> {linalg.inplaceable = true})
-> tensor<128x128xf32> {
// CHECK: vector.contract
%0 = linalg.matmul {test.attrA}
ins(%arg0, %arg1: tensor<128x128xf32>, tensor<128x128xf32>)
outs(%arg2: tensor<128x128xf32>)
-> tensor<128x128xf32>
// CHECK: vector.contract
%1 = linalg.matmul ins(%arg0, %0: tensor<128x128xf32>, tensor<128x128xf32>)
outs(%arg3: tensor<128x128xf32>)
-> tensor<128x128xf32>
return %1 : tensor<128x128xf32>
}
iree_linalg_transform.sequence {
vectorize
}