| // RUN: iree-dialects-opt --linalg-transform-interp --split-input-file --verify-diagnostics --allow-unregistered-dialect %s |
| |
| // This cannot be vectorized because of dynamic tensor shapes. We expect the |
| // pass fail and report an error at the vectorization operation below. |
| func.func public @non_vectorizable(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> { |
| %0 = linalg.generic { |
| indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], |
| iterator_types = ["parallel"]} |
| ins(%arg0: tensor<?xf32>) outs(%arg1: tensor<?xf32>) { |
| ^bb0(%arg2: f32, %arg3: f32): |
| %1 = arith.mulf %arg2, %arg2 : f32 |
| linalg.yield %1 : f32 |
| } -> tensor<?xf32> |
| return %0 : tensor<?xf32> |
| } |
| |
| transform.with_pdl_patterns { |
| ^bb0(%arg0: !pdl.operation): |
| pdl.pattern @target_pattern : benefit(1) { |
| %0 = operands |
| %1 = types |
| %2 = operation "linalg.generic"(%0 : !pdl.range<value>) -> (%1 : !pdl.range<type>) |
| rewrite %2 with "transform.dialect" |
| } |
| |
| transform.structured.canonicalized_sequence %arg0 { |
| ^bb1(%arg1: !pdl.operation): |
| %0 = pdl_match @target_pattern in %arg1 |
| // expected-error@below {{failed to apply}} |
| transform.structured.vectorize %0 |
| } |
| } |
| |
| // ----- |
| |
| func.func public @no_loop(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> { |
| %0 = linalg.generic { |
| indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], |
| iterator_types = ["parallel"]} |
| ins(%arg0: tensor<?xf32>) outs(%arg1: tensor<?xf32>) { |
| ^bb0(%arg2: f32, %arg3: f32): |
| %1 = arith.mulf %arg2, %arg2 : f32 |
| linalg.yield %1 : f32 |
| } -> tensor<?xf32> |
| return %0 : tensor<?xf32> |
| } |
| |
| transform.with_pdl_patterns { |
| ^bb0(%arg0: !pdl.operation): |
| pdl.pattern @target_pattern : benefit(1) { |
| %0 = operands |
| %1 = types |
| %2 = operation "linalg.generic"(%0 : !pdl.range<value>) -> (%1 : !pdl.range<type>) |
| rewrite %2 with "transform.dialect" |
| } |
| |
| transform.structured.canonicalized_sequence %arg0 { |
| ^bb1(%arg1: !pdl.operation): |
| %0 = pdl_match @target_pattern in %arg1 |
| // expected-error@below {{the transformed op is enclosed by 0 loops, but 1 expected}} |
| get_parent_loop %0 |
| } |
| } |
| |
| // ----- |
| |
| func.func private @prevent_dce() |
| |
| func.func public @loop(%lb: index, %ub: index, %step: index) { |
| scf.for %i = %lb to %ub step %step { |
| func.call @prevent_dce() : () -> () |
| } |
| return |
| } |
| |
| transform.with_pdl_patterns { |
| ^bb0(%arg0: !pdl.operation): |
| pdl.pattern @something : benefit(1) { |
| %0 = operands |
| %2 = operation "scf.for"(%0 : !pdl.range<value>) |
| rewrite %2 with "transform.dialect" |
| } |
| |
| transform.structured.canonicalized_sequence %arg0 { |
| ^bb1(%arg1: !pdl.operation): |
| %0 = pdl_match @something in %arg1 |
| // expected-error@below {{NYI: cannot target the result of pipelining}} |
| %1 = pipeline_loop %0 |
| // expected-note@below {{use here}} |
| get_parent_loop %1 |
| } |
| } |
| |
| // ----- |
| |
| func.func public @no_outlining() { |
| "some.operation"() ({}, {}) : () -> () |
| return |
| } |
| |
| transform.with_pdl_patterns { |
| ^bb0(%arg0: !pdl.operation): |
| pdl.pattern @some_operation : benefit(1) { |
| %0 = operation "some.operation" |
| rewrite %0 with "transform.dialect" |
| } |
| |
| transform.structured.canonicalized_sequence %arg0 { |
| ^bb1(%arg1: !pdl.operation): |
| %0 = pdl_match @some_operation in %arg1 |
| // Make sure we don't crash on wrong operation type. |
| // expected-error@below {{failed to apply}} |
| outline_loop %0 {func_name = "outlined"} |
| } |
| } |
| |
| // ----- |
| |
| func.func @no_replacement( |
| %arg0: tensor<128x128xf32>, %arg1: tensor<128x128xf32>, |
| %arg2: tensor<128x128xf32> {linalg.inplaceable = true}) |
| -> tensor<128x128xf32> { |
| // expected-error @below {{could not find replacement for tracked op}} |
| %0 = linalg.matmul {test.attrA} |
| ins(%arg0, %arg1: tensor<128x128xf32>, tensor<128x128xf32>) |
| outs(%arg2: tensor<128x128xf32>) |
| -> tensor<128x128xf32> |
| return %0 : tensor<128x128xf32> |
| } |
| |
| transform.with_pdl_patterns { |
| ^bb0(%arg0: !pdl.operation): |
| pdl.pattern @pdl_target : benefit(1) { |
| %args = operands |
| %results = types |
| %0 = operation "linalg.matmul"(%args : !pdl.range<value>) -> (%results : !pdl.range<type>) |
| %1 = pdl.attribute = @no_replacement |
| apply_native_constraint "nestedInFunc"(%0, %1 : !pdl.operation, !pdl.attribute) |
| // TODO: we don't want this, but it is the required terminator for pdl.pattern |
| rewrite %0 with "transform.dialect" |
| } |
| |
| transform.structured.canonicalized_sequence %arg0 { |
| ^bb1(%arg1: !pdl.operation): |
| %0 = pdl_match @pdl_target in %arg1 |
| // expected-error @below {{failed to apply}} |
| transform.structured.vectorize |
| transform.structured.tile %0 {sizes = [32, 32, 32]} |
| } |
| } |
| |
| // ----- |
| |
| func.func @repeated_match( |
| %arg0: tensor<128x128xf32>, %arg1: tensor<128x128xf32>, |
| %arg2: tensor<128x128xf32> {linalg.inplaceable = true}) |
| -> tensor<128x128xf32> { |
| // expected-error @below {{operation tracked by two handles}} |
| %0 = linalg.matmul {test.attrA} |
| ins(%arg0, %arg1: tensor<128x128xf32>, tensor<128x128xf32>) |
| outs(%arg2: tensor<128x128xf32>) |
| -> tensor<128x128xf32> |
| return %0 : tensor<128x128xf32> |
| } |
| |
| transform.with_pdl_patterns { |
| ^bb0(%arg0: !pdl.operation): |
| pdl.pattern @pdl_target1 : benefit(1) { |
| %args = operands |
| %results = types |
| %0 = operation "linalg.matmul"(%args : !pdl.range<value>) -> (%results : !pdl.range<type>) |
| %1 = pdl.attribute = @repeated_match |
| apply_native_constraint "nestedInFunc"(%0, %1 : !pdl.operation, !pdl.attribute) |
| // TODO: we don't want this, but it is the required terminator for pdl.pattern |
| rewrite %0 with "transform.dialect" |
| } |
| |
| // An exact copy of the above, but with a different name. |
| pdl.pattern @pdl_target2 : benefit(1) { |
| %args = operands |
| %results = types |
| %0 = operation "linalg.matmul"(%args : !pdl.range<value>) -> (%results : !pdl.range<type>) |
| %1 = pdl.attribute = @repeated_match |
| apply_native_constraint "nestedInFunc"(%0, %1 : !pdl.operation, !pdl.attribute) |
| // TODO: we don't want this, but it is the required terminator for pdl.pattern |
| rewrite %0 with "transform.dialect" |
| } |
| |
| transform.structured.canonicalized_sequence %arg0 { |
| ^bb0(%arg1: !pdl.operation): |
| // expected-note @below {{handle}} |
| %0 = pdl_match @pdl_target1 in %arg1 |
| // expected-note @below {{handle}} |
| %1 = pdl_match @pdl_target2 in %arg1 |
| |
| // Add references to handles produced by match so that they are not DCE'd. |
| transform.structured.tile %0 {sizes = [32, 32, 32]} |
| transform.structured.tile %1 {sizes = [32, 32, 32]} |
| } |
| } |