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1// RUN: mlir-opt -test-convert-to-spirv -split-input-file %s | FileCheck %s2 3module attributes {4 gpu.container_module,5 spirv.target_env = #spirv.target_env<#spirv.vce<v1.3, [Kernel, Addresses, Groups, GroupNonUniformArithmetic, GroupUniformArithmeticKHR], []>, #spirv.resource_limits<>>6} {7 8gpu.module @kernels {9 // CHECK-LABEL: spirv.func @all_reduce10 // CHECK-SAME: (%[[ARG0:.*]]: f32)11 // CHECK: %{{.*}} = spirv.GroupNonUniformFAdd <Workgroup> <Reduce> %[[ARG0]] : f32 -> f3212 gpu.func @all_reduce(%arg0 : f32) kernel13 attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [16, 1, 1]>} {14 %reduced = gpu.all_reduce add %arg0 {} : (f32) -> (f32)15 gpu.return16 }17}18 19}20 21// -----22 23module attributes {24 gpu.container_module,25 spirv.target_env = #spirv.target_env<#spirv.vce<v1.3, [Kernel, Addresses, Groups, GroupNonUniformArithmetic, GroupUniformArithmeticKHR], []>, #spirv.resource_limits<>>26} {27 28gpu.module @kernels {29 // CHECK-LABEL: spirv.func @subgroup_reduce30 // CHECK-SAME: (%[[ARG0:.*]]: f32)31 // CHECK: %{{.*}} = spirv.GroupNonUniformFAdd <Subgroup> <Reduce> %[[ARG0]] : f32 -> f3232 gpu.func @subgroup_reduce(%arg0 : f32) kernel33 attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [16, 1, 1]>} {34 %reduced = gpu.subgroup_reduce add %arg0 {} : (f32) -> (f32)35 gpu.return36 }37}38 39}40 41// -----42 43module attributes {44 gpu.container_module,45 spirv.target_env = #spirv.target_env<46 #spirv.vce<v1.0, [Shader], [SPV_KHR_storage_buffer_storage_class]>, #spirv.resource_limits<>>47} {48 49 // CHECK-LABEL: spirv.module @{{.*}} Logical GLSL45050 // CHECK-LABEL: spirv.func @load_store51 // CHECK-SAME: %[[ARG0:.*]]: !spirv.ptr<!spirv.struct<(!spirv.array<48 x f32, stride=4> [0])>, StorageBuffer> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 0)>}52 // CHECK-SAME: %[[ARG1:.*]]: !spirv.ptr<!spirv.struct<(!spirv.array<48 x f32, stride=4> [0])>, StorageBuffer> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 1)>}53 // CHECK-SAME: %[[ARG2:.*]]: !spirv.ptr<!spirv.struct<(!spirv.array<48 x f32, stride=4> [0])>, StorageBuffer> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 2)>}54 gpu.module @kernels {55 gpu.func @load_store(%arg0: memref<12x4xf32, #spirv.storage_class<StorageBuffer>>, %arg1: memref<12x4xf32, #spirv.storage_class<StorageBuffer>>, %arg2: memref<12x4xf32, #spirv.storage_class<StorageBuffer>>, %arg3: index, %arg4: index, %arg5: index, %arg6: index) kernel56 attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [16, 1, 1]>} {57 // CHECK: %[[PTR1:.*]] = spirv.AccessChain %[[ARG0]]58 // CHECK-NEXT: spirv.Load "StorageBuffer" %[[PTR1]]59 // CHECK: %[[PTR2:.*]] = spirv.AccessChain %[[ARG1]]60 // CHECK-NEXT: spirv.Load "StorageBuffer" %[[PTR2]]61 // CHECK: spirv.FAdd62 // CHECK: %[[PTR3:.*]] = spirv.AccessChain %[[ARG2]]63 // CHECK-NEXT: spirv.Store "StorageBuffer" %[[PTR3]]64 %0 = gpu.block_id x65 %1 = gpu.block_id y66 %2 = gpu.block_id z67 %3 = gpu.thread_id x68 %4 = gpu.thread_id y69 %5 = gpu.thread_id z70 %6 = gpu.grid_dim x71 %7 = gpu.grid_dim y72 %8 = gpu.grid_dim z73 %9 = gpu.block_dim x74 %10 = gpu.block_dim y75 %11 = gpu.block_dim z76 %12 = arith.addi %arg3, %0 : index77 %13 = arith.addi %arg4, %3 : index78 %14 = memref.load %arg0[%12, %13] : memref<12x4xf32, #spirv.storage_class<StorageBuffer>>79 %15 = memref.load %arg1[%12, %13] : memref<12x4xf32, #spirv.storage_class<StorageBuffer>>80 %16 = arith.addf %14, %15 : f3281 memref.store %16, %arg2[%12, %13] : memref<12x4xf32, #spirv.storage_class<StorageBuffer>>82 gpu.return83 }84 }85}86