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135 lines
4.9 KiB
MLIR
135 lines
4.9 KiB
MLIR
// RUN: mlir-opt %s --gpu-to-llvm -split-input-file | FileCheck %s
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module attributes {gpu.container_module} {
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// CHECK: gpu.module
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gpu.module @kernel_module [#nvvm.target] {
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llvm.func @kernel(%arg0: i32, %arg1: !llvm.ptr,
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%arg2: !llvm.ptr, %arg3: i64, %arg4: i64,
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%arg5: i64) attributes {gpu.kernel} {
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llvm.return
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}
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}
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func.func @foo(%buffer: memref<?xf32>) {
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// CHECK: [[C8:%.*]] = llvm.mlir.constant(8 : index) : i64
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// CHECK: [[C32:%.*]] = llvm.mlir.constant(32 : i32) : i32
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// CHECK: [[C256:%.*]] = llvm.mlir.constant(256 : i32) : i32
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%c8 = arith.constant 8 : index
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%c32 = arith.constant 32 : i32
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%c256 = arith.constant 256 : i32
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// CHECK: gpu.launch_func @kernel_module::@kernel
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// CHECK: blocks in ([[C8]], [[C8]], [[C8]]) threads in ([[C8]], [[C8]], [[C8]]) : i64
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// CHECK: dynamic_shared_memory_size [[C256]]
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// CHECK: args([[C32]] : i32, %{{.*}} : !llvm.ptr, %{{.*}} : !llvm.ptr, %{{.*}} : i64, %{{.*}} : i64, %{{.*}} : i64)
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gpu.launch_func @kernel_module::@kernel
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blocks in (%c8, %c8, %c8)
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threads in (%c8, %c8, %c8)
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dynamic_shared_memory_size %c256
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args(%c32 : i32, %buffer : memref<?xf32>)
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return
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}
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}
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// -----
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module attributes {gpu.container_module} {
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// CHECK: gpu.module
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gpu.module @kernel_module [#nvvm.target] {
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llvm.func @kernel(%arg0: i32, %arg1: !llvm.ptr,
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%arg2: !llvm.ptr, %arg3: i64, %arg4: i64,
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%arg5: i64) attributes {gpu.kernel} {
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llvm.return
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}
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}
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func.func @foo(%buffer: memref<?xf32>) {
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// CHECK: [[C8:%.*]] = llvm.mlir.constant(8 : index) : i64
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// CHECK: [[C32:%.*]] = llvm.mlir.constant(32 : i32) : i32
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// CHECK: [[C256:%.*]] = llvm.mlir.constant(256 : i32) : i32
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// CHECK: [[C2:%.*]] = llvm.mlir.constant(2 : index) : i64
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%c8 = arith.constant 8 : index
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%c32 = arith.constant 32 : i32
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%c256 = arith.constant 256 : i32
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%c2 = arith.constant 2 : index
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// CHECK: gpu.launch_func @kernel_module::@kernel
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// CHECK: clusters in ([[C2]], [[C2]], [[C2]])
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// CHECK: blocks in ([[C8]], [[C8]], [[C8]]) threads in ([[C8]], [[C8]], [[C8]]) : i64
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// CHECK: dynamic_shared_memory_size [[C256]]
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// CHECK: args([[C32]] : i32, %{{.*}} : !llvm.ptr, %{{.*}} : !llvm.ptr, %{{.*}} : i64, %{{.*}} : i64, %{{.*}} : i64)
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gpu.launch_func @kernel_module::@kernel
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clusters in (%c2, %c2, %c2)
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blocks in (%c8, %c8, %c8)
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threads in (%c8, %c8, %c8)
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dynamic_shared_memory_size %c256
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args(%c32 : i32, %buffer : memref<?xf32>)
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return
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}
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}
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// -----
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module attributes {gpu.container_module} {
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// CHECK: gpu.binary
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gpu.binary @kernel_module [#gpu.object<#rocdl.target, "blob">]
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func.func @foo(%buffer: memref<?xf32>) {
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// CHECK: [[C8:%.*]] = llvm.mlir.constant(8 : index) : i64
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// CHECK: [[C32:%.*]] = llvm.mlir.constant(32 : i32) : i32
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// CHECK: [[C256:%.*]] = llvm.mlir.constant(256 : i32) : i32
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// CHECK: [[C2:%.*]] = llvm.mlir.constant(2 : index) : i64
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%c8 = arith.constant 8 : index
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%c32 = arith.constant 32 : i32
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%c256 = arith.constant 256 : i32
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%c2 = arith.constant 2 : index
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// CHECK: gpu.launch_func @kernel_module::@kernel
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// CHECK: clusters in ([[C2]], [[C2]], [[C2]])
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// CHECK: blocks in ([[C8]], [[C8]], [[C8]]) threads in ([[C8]], [[C8]], [[C8]]) : i64
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// CHECK: dynamic_shared_memory_size [[C256]]
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// CHECK: args([[C32]] : i32, %{{.*}} : !llvm.ptr, %{{.*}} : !llvm.ptr, %{{.*}} : i64, %{{.*}} : i64, %{{.*}} : i64)
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gpu.launch_func @kernel_module::@kernel
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clusters in (%c2, %c2, %c2)
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blocks in (%c8, %c8, %c8)
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threads in (%c8, %c8, %c8)
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dynamic_shared_memory_size %c256
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args(%c32 : i32, %buffer : memref<?xf32>)
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return
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}
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}
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// -----
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// Test that gpu.launch_func async with multiple async dependencies correctly
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// synchronizes all deps onto the primary stream via events.
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module attributes {gpu.container_module} {
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gpu.module @kernel_module [#nvvm.target] {
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llvm.func @kernel() attributes {gpu.kernel} {
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llvm.return
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}
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}
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// CHECK-LABEL: @multi_dep_launch
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func.func @multi_dep_launch() {
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%c1 = arith.constant 1 : index
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// CHECK: %[[stream0:.*]] = llvm.call @mgpuStreamCreate()
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%t0 = gpu.wait async
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// CHECK: %[[stream1:.*]] = llvm.call @mgpuStreamCreate()
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%t1 = gpu.wait async
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// The event for the second dependency is created and recorded after
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// its defining stream, then the primary stream waits on it.
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// CHECK: %[[e:.*]] = llvm.call @mgpuEventCreate()
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// CHECK: llvm.call @mgpuEventRecord(%[[e]], %[[stream1]])
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// CHECK: llvm.call @mgpuStreamWaitEvent(%[[stream0]], %[[e]])
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// CHECK: llvm.call @mgpuEventDestroy(%[[e]])
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// CHECK: gpu.launch_func <%[[stream0]] : !llvm.ptr> @kernel_module::@kernel
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%t2 = gpu.launch_func async [%t0, %t1] @kernel_module::@kernel
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blocks in (%c1, %c1, %c1)
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threads in (%c1, %c1, %c1)
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gpu.wait [%t2]
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return
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}
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}
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