linalg-to-spirv.mlir
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// RUN: mlir-opt -split-input-file -convert-linalg-to-spirv -canonicalize -verify-diagnostics %s -o - | FileCheck %s
//===----------------------------------------------------------------------===//
// Single workgroup reduction
//===----------------------------------------------------------------------===//
#single_workgroup_reduction_trait = {
args_in = 1,
args_out = 1,
iterator_types = ["reduction"],
indexing_maps = [
affine_map<(i) -> (i)>,
affine_map<(i) -> (0)>
]
}
module attributes {
spv.target_env = #spv.target_env<
#spv.vce<v1.3, [Shader, GroupNonUniformArithmetic], []>,
{
max_compute_workgroup_invocations = 128 : i32,
max_compute_workgroup_size = dense<[128, 128, 64]> : vector<3xi32>
}>
} {
// CHECK: spv.globalVariable
// CHECK-SAME: built_in("LocalInvocationId")
// CHECK: @single_workgroup_reduction
// CHECK-SAME: (%[[INPUT:.+]]: !spv.ptr{{.+}}, %[[OUTPUT:.+]]: !spv.ptr{{.+}})
// CHECK: %[[ZERO:.+]] = spv.constant 0 : i32
// CHECK: %[[ID:.+]] = spv.Load "Input" %{{.+}} : vector<3xi32>
// CHECK: %[[X:.+]] = spv.CompositeExtract %[[ID]][0 : i32]
// CHECK: %[[INPTR:.+]] = spv.AccessChain %[[INPUT]][%[[ZERO]], %[[X]]]
// CHECK: %[[VAL:.+]] = spv.Load "StorageBuffer" %[[INPTR]] : i32
// CHECK: %[[ADD:.+]] = spv.GroupNonUniformIAdd "Subgroup" "Reduce" %[[VAL]] : i32
// CHECK: %[[OUTPTR:.+]] = spv.AccessChain %[[OUTPUT]][%[[ZERO]], %[[ZERO]]]
// CHECK: %[[ELECT:.+]] = spv.GroupNonUniformElect "Subgroup" : i1
// CHECK: spv.selection {
// CHECK: spv.BranchConditional %[[ELECT]], ^bb1, ^bb2
// CHECK: ^bb1:
// CHECK: spv.AtomicIAdd "Device" "AcquireRelease" %[[OUTPTR]], %[[ADD]]
// CHECK: spv.Branch ^bb2
// CHECK: ^bb2:
// CHECK: spv._merge
// CHECK: }
// CHECK: spv.Return
func @single_workgroup_reduction(%input: memref<16xi32>, %output: memref<1xi32>) attributes {
spv.entry_point_abi = {local_size = dense<[16, 1, 1]>: vector<3xi32>}
} {
linalg.generic #single_workgroup_reduction_trait %input, %output {
^bb(%in: i32, %out: i32):
%sum = addi %in, %out : i32
linalg.yield %sum : i32
} : memref<16xi32>, memref<1xi32>
spv.Return
}
}
// -----
// Missing shader entry point ABI
#single_workgroup_reduction_trait = {
args_in = 1,
args_out = 1,
iterator_types = ["reduction"],
indexing_maps = [
affine_map<(i) -> (i)>,
affine_map<(i) -> (0)>
]
}
module attributes {
spv.target_env = #spv.target_env<
#spv.vce<v1.3, [Shader, GroupNonUniformArithmetic], []>,
{
max_compute_workgroup_invocations = 128 : i32,
max_compute_workgroup_size = dense<[128, 128, 64]> : vector<3xi32>
}>
} {
func @single_workgroup_reduction(%input: memref<16xi32>, %output: memref<1xi32>) {
// expected-error @+1 {{failed to legalize operation 'linalg.generic'}}
linalg.generic #single_workgroup_reduction_trait %input, %output {
^bb(%in: i32, %out: i32):
%sum = addi %in, %out : i32
linalg.yield %sum : i32
} : memref<16xi32>, memref<1xi32>
return
}
}
// -----
// Mismatch between shader entry point ABI and input memref shape
#single_workgroup_reduction_trait = {
args_in = 1,
args_out = 1,
iterator_types = ["reduction"],
indexing_maps = [
affine_map<(i) -> (i)>,
affine_map<(i) -> (0)>
]
}
module attributes {
spv.target_env = #spv.target_env<
#spv.vce<v1.3, [Shader, GroupNonUniformArithmetic], []>,
{
max_compute_workgroup_invocations = 128 : i32,
max_compute_workgroup_size = dense<[128, 128, 64]> : vector<3xi32>
}>
} {
func @single_workgroup_reduction(%input: memref<16xi32>, %output: memref<1xi32>) attributes {
spv.entry_point_abi = {local_size = dense<[32, 1, 1]>: vector<3xi32>}
} {
// expected-error @+1 {{failed to legalize operation 'linalg.generic'}}
linalg.generic #single_workgroup_reduction_trait %input, %output {
^bb(%in: i32, %out: i32):
%sum = addi %in, %out : i32
linalg.yield %sum : i32
} : memref<16xi32>, memref<1xi32>
spv.Return
}
}
// -----
// Unsupported multi-dimension input memref
#single_workgroup_reduction_trait = {
args_in = 1,
args_out = 1,
iterator_types = ["parallel", "reduction"],
indexing_maps = [
affine_map<(i, j) -> (i, j)>,
affine_map<(i, j) -> (i)>
]
}
module attributes {
spv.target_env = #spv.target_env<
#spv.vce<v1.3, [Shader, GroupNonUniformArithmetic], []>,
{
max_compute_workgroup_invocations = 128 : i32,
max_compute_workgroup_size = dense<[128, 128, 64]> : vector<3xi32>
}>
} {
func @single_workgroup_reduction(%input: memref<16x8xi32>, %output: memref<16xi32>) attributes {
spv.entry_point_abi = {local_size = dense<[16, 8, 1]>: vector<3xi32>}
} {
// expected-error @+1 {{failed to legalize operation 'linalg.generic'}}
linalg.generic #single_workgroup_reduction_trait %input, %output {
^bb(%in: i32, %out: i32):
%sum = addi %in, %out : i32
linalg.yield %sum : i32
} : memref<16x8xi32>, memref<16xi32>
spv.Return
}
}