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llvm / llvm-project / mlir / 67696f3cb0d2b12b848853d705e13df6681b4964 / . / test / Dialect / GPU / ops.mlir
blob: 511b018877476f530889f31db44518cf59fc0c0d [file] [log] [blame]
// RUN: mlir-opt -allow-unregistered-dialect %s | FileCheck %s
// Verify the printed output can be parsed.
// RUN: mlir-opt -allow-unregistered-dialect %s | mlir-opt -allow-unregistered-dialect | FileCheck %s
// Verify the generic form can be parsed.
// RUN: mlir-opt -allow-unregistered-dialect -mlir-print-op-generic %s | mlir-opt -allow-unregistered-dialect | FileCheck %s
module attributes {gpu.container_module} {
// CHECK-LABEL:func @no_args(%{{.*}}: index)
func.func @no_args(%sz : index) {
// CHECK: gpu.launch blocks(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}) threads(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}})
gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %sz, %grid_y = %sz, %grid_z = %sz)
threads(%tx, %ty, %tz) in (%block_x = %sz, %block_y = %sz, %block_z = %sz) {
// CHECK: gpu.terminator
gpu.terminator
}
return
}
// CHECK-LABEL:func @args(%{{.*}}: index, %{{.*}}: index, %{{.*}}: f32, %{{.*}}: memref<?xf32, 1>) {
func.func @args(%blk : index, %thrd : index, %float : f32, %data : memref<?xf32,1>) {
// CHECK: gpu.launch blocks(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}) threads(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}})
gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %blk, %grid_y = %blk, %grid_z = %blk)
threads(%tx, %ty, %tz) in (%block_x = %thrd, %block_y = %thrd, %block_z = %thrd) {
"use"(%float) : (f32) -> ()
"use"(%data) : (memref<?xf32,1>) -> ()
// CHECK: gpu.terminator
gpu.terminator
}
return
}
// CHECK-LABEL:func @launch_async(%{{.*}}: index, %{{.*}}: index) {
func.func @launch_async(%blk : index, %thrd : index) {
// CHECK: gpu.launch async [%{{.+}}] blocks(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}) threads(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}})
%t = gpu.wait async
%name = gpu.launch async [%t] blocks(%arg0, %arg1, %arg2) in (%grid_x = %blk, %grid_y = %blk, %grid_z = %blk)
threads(%arg3, %arg4, %arg5) in (%block_x = %thrd, %block_y = %thrd, %block_z = %thrd) {
gpu.terminator
}
return
}
// CHECK-LABEL:func @launch_async_no_deps(%{{.*}}: index, %{{.*}}: index) {
func.func @launch_async_no_deps(%blk : index, %thrd : index) {
// CHECK: %{{.*}} = gpu.launch async blocks(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}) threads(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}})
%t0 = gpu.launch async blocks(%arg0, %arg1, %arg2) in (%grid_x = %blk, %grid_y = %blk, %grid_z = %blk)
threads(%arg3, %arg4, %arg5) in (%block_x = %thrd, %block_y = %thrd, %block_z = %thrd) {
gpu.terminator
}
// CHECK: gpu.launch async blocks(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}) threads(%{{.*}}, %{{.*}}, %{{.*}}) in (%{{.*}} = %{{.*}}, %{{.*}} = %{{.*}}, %{{.*}} = %{{.*}})
%t1 = gpu.launch async [] blocks(%arg0, %arg1, %arg2) in (%grid_x = %blk, %grid_y = %blk, %grid_z = %blk)
threads(%arg3, %arg4, %arg5) in (%block_x = %thrd, %block_y = %thrd, %block_z = %thrd) {
gpu.terminator
}
return
}
gpu.module @kernels {
gpu.func @kernel_1(%arg0 : f32, %arg1 : memref<?xf32, 1>) kernel {
%tIdX = gpu.thread_id x
// CHECK: thread_id_x
%tIdY = gpu.thread_id y
// CHECK-NEXT: thread_id_y
%tIdZ = gpu.thread_id z
// CHECK-NEXT: thread_id_z
%bDimX = gpu.block_dim x
// CHECK-NEXT: block_dim_x
%bDimY = gpu.block_dim y
// CHECK-NEXT: block_dim_y
%bDimZ = gpu.block_dim z
// CHECK-NEXT: block_dim_z
%bIdX = gpu.block_id x
// CHECK-NEXT: block_id_x
%bIdY = gpu.block_id y
// CHECK-NEXT: block_id_y
%bIdZ = gpu.block_id z
// CHECK-NEXT: block_id_z
%gDimX = gpu.grid_dim x
// CHECK-NEXT: grid_dim_x
%gDimY = gpu.grid_dim y
// CHECK-NEXT: grid_dim_y
%gDimZ = gpu.grid_dim z
// CHECK-NEXT: grid_dim_z
%gIdX = gpu.global_id x
// CHECK-NEXT: global_id_x
%gIdY = gpu.global_id y
// CHECK-NEXT: global_id_y
%gIdZ = gpu.global_id z
// CHECK-NEXT: global_id_z
%sgId = gpu.subgroup_id : index
%numSg = gpu.num_subgroups : index
%SgSi = gpu.subgroup_size : index
%one = arith.constant 1.0 : f32
%vec = vector.broadcast %arg0 : f32 to vector<4xf32>
// CHECK: %{{.*}} = gpu.all_reduce add %{{.*}} {
// CHECK-NEXT: } : (f32) -> f32
%sum = gpu.all_reduce add %one {} : (f32) -> (f32)
// CHECK: %{{.*}} = gpu.all_reduce add %{{.*}} uniform {
// CHECK-NEXT: } : (f32) -> f32
%sum1 = gpu.all_reduce add %one uniform {} : (f32) -> f32
// CHECK: %{{.*}} = gpu.all_reduce %{{.*}} {
// CHECK-NEXT: ^{{.*}}(%{{.*}}: f32, %{{.*}}: f32):
// CHECK-NEXT: %{{.*}} = arith.addf %{{.*}}, %{{.*}} : f32
// CHECK-NEXT: gpu.yield %{{.*}} : f32
// CHECK-NEXT: } : (f32) -> f32
%sum2 = gpu.all_reduce %one {
^bb(%lhs : f32, %rhs : f32):
%tmp = arith.addf %lhs, %rhs : f32
gpu.yield %tmp : f32
} : (f32) -> (f32)
// CHECK: %{{.*}} = gpu.subgroup_reduce add %{{.*}} : (f32) -> f32
%sum_subgroup = gpu.subgroup_reduce add %one : (f32) -> f32
// CHECK: %{{.*}} = gpu.subgroup_reduce add %{{.*}} uniform : (f32) -> f32
%sum_subgroup1 = gpu.subgroup_reduce add %one uniform : (f32) -> f32
// CHECK: %{{.*}} = gpu.subgroup_reduce add %{{.*}} : (vector<4xf32>) -> vector<4xf32>
%sum_subgroup2 = gpu.subgroup_reduce add %vec : (vector<4xf32>) -> vector<4xf32>
%width = arith.constant 7 : i32
%offset = arith.constant 3 : i32
// CHECK: gpu.shuffle xor %{{.*}}, %{{.*}}, %{{.*}} : f32
%shfl, %pred = gpu.shuffle xor %arg0, %offset, %width : f32
// CHECK: gpu.shuffle up %{{.*}}, %{{.*}}, %{{.*}} : f32
%shfl1, %pred1 = gpu.shuffle up %arg0, %offset, %width : f32
// CHECK: gpu.shuffle down %{{.*}}, %{{.*}}, %{{.*}} : f32
%shfl2, %pred2 = gpu.shuffle down %arg0, %offset, %width : f32
// CHECK: gpu.shuffle idx %{{.*}}, %{{.*}}, %{{.*}} : f32
%shfl3, %pred3 = gpu.shuffle idx %arg0, %offset, %width : f32
"gpu.barrier"() : () -> ()
"some_op"(%bIdX, %tIdX) : (index, index) -> ()
%42 = memref.load %arg1[%bIdX] : memref<?xf32, 1>
gpu.return
}
gpu.func @kernel_2() kernel {
gpu.return
}
}
gpu.binary @binary_1 [#gpu.object<#nvvm.target, "">]
gpu.binary @binary_2 <#gpu.select_object<#nvvm.target<chip = "sm_90">>> [#gpu.object<#nvvm.target, "">, #gpu.object<#nvvm.target<chip = "sm_90">, "">]
gpu.binary @binary_3 <#gpu.select_object<1>> [#gpu.object<#nvvm.target, "">, #gpu.object<#nvvm.target<chip = "sm_90">, "">]
gpu.binary @binary_4 [#gpu.object<#nvvm.target, bin = "">,
#gpu.object<#nvvm.target, assembly = "">,
#gpu.object<#nvvm.target, offload = "">,
#gpu.object<#nvvm.target, properties = { O = 3 : i32 }, offload = "">
]
// Check that fatbin gets ellided as it's the default format.
// CHECK: gpu.binary @binary_5 [#gpu.object<#nvvm.target, properties = {O = 3 : i32}, "">]
gpu.binary @binary_5 [#gpu.object<#nvvm.target, properties = {O = 3 : i32}, fatbin = "">]
func.func private @two_value_generator() -> (f32, memref<?xf32, 1>)
func.func @foo() {
%0 = "op"() : () -> (f32)
%1 = "op"() : () -> (memref<?xf32, 1>)
// CHECK: %{{.*}} = arith.constant 8
%cst = arith.constant 8 : index
%cstI64 = arith.constant 8 : i64
%c0 = arith.constant 0 : i32
%t0 = gpu.wait async
%lowStream = llvm.mlir.zero : !llvm.ptr
// CHECK: gpu.launch_func @kernels::@kernel_1 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) args(%{{.*}} : f32, %{{.*}} : memref<?xf32, 1>)
gpu.launch_func @kernels::@kernel_1 blocks in (%cst, %cst, %cst) threads in (%cst, %cst, %cst) args(%0 : f32, %1 : memref<?xf32, 1>)
// CHECK: gpu.launch_func @kernels::@kernel_1 clusters in (%{{.*}}, %{{.*}}, %{{.*}}) blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) args(%{{.*}} : f32, %{{.*}} : memref<?xf32, 1>)
gpu.launch_func @kernels::@kernel_1 clusters in (%cst, %cst, %cst) blocks in (%cst, %cst, %cst) threads in (%cst, %cst, %cst) args(%0 : f32, %1 : memref<?xf32, 1>)
gpu.launch_func @kernels::@kernel_1 blocks in (%cst, %cst, %cst) threads in (%cst, %cst, %cst) dynamic_shared_memory_size %c0 args(%0 : f32, %1 : memref<?xf32, 1>)
// CHECK: gpu.launch_func @kernels::@kernel_2 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}})
gpu.launch_func @kernels::@kernel_2 blocks in (%cst, %cst, %cst) threads in (%cst, %cst, %cst)
// CHECK: %{{.*}} = gpu.launch_func async [%{{.*}}] @kernels::@kernel_2 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}})
%t1 = gpu.launch_func async [%t0] @kernels::@kernel_2 blocks in (%cst, %cst, %cst) threads in (%cst, %cst, %cst)
// CHECK: gpu.launch_func <%{{.*}} : !llvm.ptr> @kernels::@kernel_1 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) : i64 args(%{{.*}} : f32, %{{.*}} : memref<?xf32, 1>)
gpu.launch_func <%lowStream : !llvm.ptr> @kernels::@kernel_1 blocks in (%cstI64, %cstI64, %cstI64) threads in (%cstI64, %cstI64, %cstI64) : i64 args(%0 : f32, %1 : memref<?xf32, 1>)
// CHECK: gpu.launch_func @kernels::@kernel_1 blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) : i32 args(%{{.*}} : f32, %{{.*}} : memref<?xf32, 1>)
gpu.launch_func @kernels::@kernel_1 blocks in (%c0, %c0, %c0) threads in (%c0, %c0, %c0) : i32 args(%0 : f32, %1 : memref<?xf32, 1>)
// CHECK: gpu.launch_func @binary_1::@kernel blocks in (%{{.*}}, %{{.*}}, %{{.*}}) threads in (%{{.*}}, %{{.*}}, %{{.*}}) : i32 args(%{{.*}} : f32, %{{.*}} : memref<?xf32, 1>)
gpu.launch_func @binary_1::@kernel blocks in (%c0, %c0, %c0) threads in (%c0, %c0, %c0) : i32 args(%0 : f32, %1 : memref<?xf32, 1>)
// CHECK: %[[VALUES:.*]]:2 = call
%values:2 = func.call @two_value_generator() : () -> (f32, memref<?xf32, 1>)
// CHECK: gpu.launch_func @kernels::@kernel_1 {{.*}} args(%[[VALUES]]#0 : f32, %[[VALUES]]#1 : memref<?xf32, 1>)
gpu.launch_func @kernels::@kernel_1 blocks in (%cst, %cst, %cst) threads in (%cst, %cst, %cst) args(%values#0 : f32, %values#1 : memref<?xf32, 1>)
return
}
gpu.module @gpu_funcs {
// CHECK-LABEL: gpu.func @kernel_1({{.*}}: f32)
// CHECK: workgroup
// CHECK: private
// CHECK: attributes
gpu.func @kernel_1(%arg0: f32)
workgroup(%arg1: memref<42xf32, 3>)
private(%arg2: memref<2xf32, 5>, %arg3: memref<1xf32, 5>)
kernel
attributes {foo="bar"} {
"use"(%arg1) : (memref<42xf32, 3>) -> ()
"use"(%arg2) : (memref<2xf32, 5>) -> ()
"use"(%arg3) : (memref<1xf32, 5>) -> ()
gpu.return
}
// CHECK-LABEL gpu.func @printf_test
// CHECK: (%[[ARG0:.*]]: i32)
// CHECK: gpu.printf "Value: %d" %[[ARG0]] : i32
gpu.func @printf_test(%arg0 : i32) {
gpu.printf "Value: %d" %arg0 : i32
gpu.return
}
// CHECK-LABEL: gpu.func @no_attribution
// CHECK: {
gpu.func @no_attribution(%arg0: f32) {
gpu.return
}
// CHECK-LABEL: @no_attribution_attrs
// CHECK: attributes
// CHECK: {
gpu.func @no_attribution_attrs(%arg0: f32) attributes {foo="bar"} {
gpu.return
}
// CHECK-LABEL: @workgroup_only
// CHECK: workgroup({{.*}}: {{.*}})
// CHECK: {
gpu.func @workgroup_only() workgroup(%arg0: memref<42xf32, 3>) {
gpu.return
}
// CHECK-LABEL: @private_only
// CHECK: private({{.*}}: {{.*}})
// CHECK: {
gpu.func @private_only() private(%arg0: memref<2xf32, 5>) {
gpu.return
}
// CHECK-LABEL: @empty_attribution
// CHECK: {
gpu.func @empty_attribution(%arg0: f32) workgroup() private() {
gpu.return
}
}
gpu.module @explicit_attributions {
// CHECK-LABEL: gpu.func @kernel_1({{.*}}: f32, {{.*}}: memref<?xf32>) workgroup({{.*}}: memref<5xf32, 3>) private({{.*}}: memref<5xf32, 5>)
"gpu.func"() ({
^bb0(%arg0: f32, %arg1: memref<?xf32>, %arg2: memref<5xf32, 3>, %arg3: memref<5xf32, 5>):
"gpu.return"() : () -> ()
} ) {function_type = (f32, memref<?xf32>) -> (), gpu.kernel, sym_name = "kernel_1", workgroup_attributions = 1: i64} : () -> ()
}
func.func @alloc() {
// CHECK-LABEL: func @alloc()
// CHECK: %[[m0:.*]] = gpu.alloc () : memref<13xf32, 1>
%m0 = gpu.alloc () : memref<13xf32, 1>
// CHECK: gpu.dealloc %[[m0]] : memref<13xf32, 1>
gpu.dealloc %m0 : memref<13xf32, 1>
%t0 = gpu.wait async
// CHECK: %[[m1:.*]], %[[t1:.*]] = gpu.alloc async [{{.*}}] () : memref<13xf32, 1>
%m1, %t1 = gpu.alloc async [%t0] () : memref<13xf32, 1>
// CHECK: gpu.dealloc async [%[[t1]]] %[[m1]] : memref<13xf32, 1>
%t2 = gpu.dealloc async [%t1] %m1 : memref<13xf32, 1>
// CHECK: %[[m2:.*]] = gpu.alloc host_shared () : memref<13xf32, 1>
%m2 = gpu.alloc host_shared () : memref<13xf32, 1>
// CHECK: gpu.dealloc %[[m2]] : memref<13xf32, 1>
gpu.dealloc %m2 : memref<13xf32, 1>
return
}
func.func @async_token(%arg0 : !gpu.async.token) -> !gpu.async.token {
// CHECK-LABEL: func @async_token({{.*}}: !gpu.async.token)
// CHECK: return {{.*}} : !gpu.async.token
return %arg0 : !gpu.async.token
}
func.func @async_wait() {
// CHECK-LABEL: func @async_wait
// CHECK: %[[t0:.*]] = gpu.wait async
%0 = gpu.wait async
// CHECK: %[[t1:.*]] = gpu.wait async [%[[t0]]]
%1 = gpu.wait async [%0]
// CHECK: %{{.*}} = gpu.wait async [%[[t0]], %[[t1]]]
%2 = gpu.wait async [%0, %1]
// CHECK: gpu.wait [%[[t0]], %[[t1]]]
// CHECK-NOT: async
gpu.wait [%0, %1]
// CHECK: gpu.wait
// CHECK-NOT: async
gpu.wait // Valid, but a no-op.
return
}
func.func @memcpy(%dst : memref<3x7xf32>, %src : memref<3x7xf32, 1>) {
// CHECK-LABEL: func @memcpy
// CHECK: gpu.memcpy {{.*}}, {{.*}} : memref<3x7xf32>, memref<3x7xf32, 1>
gpu.memcpy %dst, %src : memref<3x7xf32>, memref<3x7xf32, 1>
// CHECK: %[[t0:.*]] = gpu.wait async
%0 = gpu.wait async
// CHECK: {{.*}} = gpu.memcpy async [%[[t0]]] {{.*}}, {{.*}} : memref<3x7xf32>, memref<3x7xf32, 1>
%1 = gpu.memcpy async [%0] %dst, %src : memref<3x7xf32>, memref<3x7xf32, 1>
return
}
func.func @memset(%dst : memref<3x7xf32>, %value : f32) {
// CHECK-LABEL: func @memset
// CHECK: gpu.memset {{.*}}, {{.*}} : memref<3x7xf32>, f32
gpu.memset %dst, %value : memref<3x7xf32>, f32
// CHECK: %[[t0:.*]] = gpu.wait async
%0 = gpu.wait async
// CHECK: {{.*}} = gpu.memset async [%[[t0]]] {{.*}}, {{.*}} : memref<3x7xf32>, f32
%1 = gpu.memset async [%0] %dst, %value : memref<3x7xf32>, f32
return
}
func.func @mmamatrix_valid_scalar_element_type(%src : memref<32x32xf16, affine_map<(d0, d1) -> (d0 * 64 + d1)>>){
// CHECK-LABEL: func @mmamatrix_valid_scalar_element_type
%wg = memref.alloca() {alignment = 32} : memref<32x32xf16, 3>
// CHECK: %[[wg:.*]] = memref.alloca()
%i = arith.constant 16 : index
// CHECK: %[[i:.*]] = arith.constant 16 : index
%cst = arith.constant 1.000000e+00 : f32
// CHECK: %[[cst:.*]] = arith.constant 1.000000e+00 : f32
%0 = gpu.subgroup_mma_load_matrix %wg[%i, %i] {leadDimension = 32 : index} : memref<32x32xf16, 3> -> !gpu.mma_matrix<16x16xf16, "AOp">
// CHECK: gpu.subgroup_mma_load_matrix %[[wg]][%[[i]], %[[i]]] {leadDimension = 32 : index} : memref<32x32xf16, 3> -> !gpu.mma_matrix<16x16xf16, "AOp">
%s = gpu.subgroup_mma_load_matrix %src[%i, %i] {leadDimension = 64 : index} : memref<32x32xf16, affine_map<(d0, d1) -> (d0 * 64 + d1)>> -> !gpu.mma_matrix<16x16xf16, "AOp">
// CHECK: gpu.subgroup_mma_load_matrix %{{.*}}[%[[i]], %[[i]]] {leadDimension = 64 : index} : memref<32x32xf16, #{{.*}}> -> !gpu.mma_matrix<16x16xf16, "AOp">
%1 = gpu.subgroup_mma_constant_matrix %cst : !gpu.mma_matrix<16x16xf32, "COp">
// CHECK: gpu.subgroup_mma_elementwise addf %{{.*}}, %{{.*}} : (!gpu.mma_matrix<16x16xf32, "COp">, !gpu.mma_matrix<16x16xf32, "COp">) -> !gpu.mma_matrix<16x16xf32, "COp">
%2 = gpu.subgroup_mma_elementwise addf %1, %1 : (!gpu.mma_matrix<16x16xf32, "COp">, !gpu.mma_matrix<16x16xf32, "COp">) -> !gpu.mma_matrix<16x16xf32, "COp">
// CHECK: gpu.subgroup_mma_elementwise maxf %{{.*}}, %{{.*}} : (!gpu.mma_matrix<16x16xf32, "COp">, !gpu.mma_matrix<16x16xf32, "COp">) -> !gpu.mma_matrix<16x16xf32, "COp">
%3 = gpu.subgroup_mma_elementwise maxf %2, %1 : (!gpu.mma_matrix<16x16xf32, "COp">, !gpu.mma_matrix<16x16xf32, "COp">) -> !gpu.mma_matrix<16x16xf32, "COp">
return
}
// CHECK-LABEL: func @mmamatrix_valid_vector_element_type
func.func @mmamatrix_valid_vector_element_type(%src : memref<32x4xvector<4xf32>>, %i : index) {
// CHECK: gpu.subgroup_mma_load_matrix
%s = gpu.subgroup_mma_load_matrix %src[%i, %i] {leadDimension = 4 : index} : memref<32x4xvector<4xf32>> -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: gpu.subgroup_mma_store_matrix
gpu.subgroup_mma_store_matrix %s, %src[%i, %i] {leadDimension = 4 : index} : !gpu.mma_matrix<16x16xf16, "COp">, memref<32x4xvector<4xf32>>
return
}
// CHECK-LABEL: func @set_default_device
func.func @set_default_device(%arg0: i32) {
// CHECK: gpu.set_default_device
gpu.set_default_device %arg0
return
}
// CHECK-LABEL: func @sparse_ops
func.func @sparse_ops(%arg0: index) {
// CHECK: gpu.wait async
%token0 = gpu.wait async
// CHECK: gpu.alloc async
%mem1, %token1 = gpu.alloc async [%token0] (%arg0) : memref<?xindex>
// CHECK: gpu.alloc async
%mem2, %token2 = gpu.alloc async [%token1] (%arg0) : memref<?xf64>
// CHECK: gpu.create_coo async
%spmat, %token4 = gpu.create_coo async [%token2] %arg0, %arg0, %arg0, %mem1, %mem1, %mem2 : memref<?xindex>, memref<?xindex>, memref<?xf64>
// CHECK: gpu.create_csr async
%spmat2, %token5 = gpu.create_csr async [%token4] %arg0, %arg0, %arg0, %mem1, %mem1, %mem2 : memref<?xindex>, memref<?xindex>, memref<?xf64>
// CHECK: gpu.create_dn_tensor async
%dnvec, %token6 = gpu.create_dn_tensor async [%token5] %mem2, %arg0 : index into memref<?xf64>
// CHECK: gpu.spmv_buffer_size async
%bufferSz, %token7 = gpu.spmv_buffer_size async [%token6] %spmat, %dnvec, %dnvec into f64
// CHECK: gpu.spmv async
%token8 = gpu.spmv async [%token7] %spmat, %dnvec, %dnvec, %mem2 : memref<?xf64> into f64
// CHECK: gpu.create_dn_tensor async
%dnmat, %token9 = gpu.create_dn_tensor async [%token8] %mem2, %arg0, %arg0 : index, index into memref<?xf64>
// CHECK: gpu.spmm_buffer_size async
%bufferSz2, %token10 = gpu.spmm_buffer_size async [%token9] %spmat, %dnmat, %dnmat : index into f64
// CHECK: gpu.spmm async
%token11 = gpu.spmm async [%token10] %spmat, %dnmat, %dnmat, %mem2 : memref<?xf64> into f64
// CHECK: gpu.sddmm_buffer_size async
%bufferSz3, %token12 = gpu.sddmm_buffer_size async [%token11] %dnmat, %dnmat, %spmat into f64
// CHECK: gpu.sddmm async
%token13 = gpu.sddmm async [%token12] %dnmat, %dnmat, %spmat, %mem2 : memref<?xf64> into f64
// CHECK: gpu.destroy_dn_tensor async
%token14 = gpu.destroy_dn_tensor async [%token13] %dnmat
// CHECK: gpu.destroy_sp_mat async
%token15 = gpu.destroy_sp_mat async [%token14] %spmat
// CHECK: gpu.destroy_dn_tensor async
%token16 = gpu.destroy_dn_tensor async [%token15] %dnvec
// CHECK: gpu.wait
gpu.wait [%token16]
return
}
}
// Just check that this doesn't crash.
gpu.module @module {
"gpu.func"() ({
gpu.return
}) {function_type = () -> (), sym_name = "func"} : () -> ()
}
// Check that this doesn't crash.
gpu.module @module_with_one_target [#nvvm.target] {
gpu.func @kernel(%arg0 : f32) kernel {
gpu.return
}
}
gpu.module @module_with_two_target [#nvvm.target, #rocdl.target<chip = "gfx90a">] {
gpu.func @kernel(%arg0 : f32) kernel {
gpu.return
}
}
gpu.module @module_with_offload_handler <#gpu.select_object<0>> [#nvvm.target] {
}