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|
// RUN: mlir-opt -allow-unregistered-dialect -convert-gpu-to-spirv -split-input-file -verify-diagnostics %s | FileCheck %s
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_load_op
// CHECK-SAME: !spirv.ptr<!spirv.struct<(!spirv.array<512 x f32, stride=4> [0])>, StorageBuffer>
gpu.func @gpu_wmma_load_op(%arg0 : memref<32x32xf16, #spirv.storage_class<StorageBuffer>>) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
%i = arith.constant 16 : index
%j = arith.constant 16 : index
// CHECK: %[[COLMAJOR:.*]] = spirv.Constant false
// CHECK: {{%.*}} = spirv.NV.CooperativeMatrixLoad {{%.*}}, {{%.*}}, %[[COLMAJOR]] : !spirv.ptr<f32, StorageBuffer> as !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%0 = gpu.subgroup_mma_load_matrix %arg0[%i, %j] {leadDimension = 32 : index} : memref<32x32xf16, #spirv.storage_class<StorageBuffer>> -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: spirv.Return
gpu.return
}
}
}
// -----
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_load_op_transpose
// CHECK-SAME: {{%.*}}: !spirv.ptr<!spirv.struct<(!spirv.array<512 x f32, stride=4> [0])>, StorageBuffer> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 0)>}
// CHECK-SAME: spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>
gpu.func @gpu_wmma_load_op_transpose(%arg0 : memref<32x32xf16, #spirv.storage_class<StorageBuffer>>) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
%i = arith.constant 16 : index
%j = arith.constant 16 : index
// CHECK: %[[COLMAJOR:.*]] = spirv.Constant true
// CHECK: {{%.*}} = spirv.NV.CooperativeMatrixLoad {{%.*}}, {{%.*}}, %[[COLMAJOR]] : !spirv.ptr<f32, StorageBuffer> as !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%0 = gpu.subgroup_mma_load_matrix %arg0[%i, %j] {leadDimension = 32 : index, transpose} : memref<32x32xf16, #spirv.storage_class<StorageBuffer>> -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: spirv.Return
gpu.return
}
}
}
// -----
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_store_op
// CHECK-SAME: !spirv.ptr<!spirv.struct<(!spirv.array<512 x f32, stride=4> [0])>, StorageBuffer>
// CHECK-SAME: !spirv.NV.coopmatrix<16x16xf16, Subgroup>
gpu.func @gpu_wmma_store_op(%arg0 : memref<32x32xf16, #spirv.storage_class<StorageBuffer>>, %arg1 : !gpu.mma_matrix<16x16xf16, "COp">) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
%i = arith.constant 16 : index
%j = arith.constant 16 : index
// CHECK: %[[COLMAJOR:.*]] = spirv.Constant false
// CHECK: spirv.NV.CooperativeMatrixStore {{%.*}}, {{%.*}}, {{%.*}}, %[[COLMAJOR]] : !spirv.ptr<f32, StorageBuffer>, !spirv.NV.coopmatrix<16x16xf16, Subgroup>
gpu.subgroup_mma_store_matrix %arg1, %arg0[%i,%j] {leadDimension= 32 : index} : !gpu.mma_matrix<16x16xf16, "COp">, memref<32x32xf16, #spirv.storage_class<StorageBuffer>>
// CHECK: spirv.Return
gpu.return
}
}
}
// -----
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_store_op_transpose
// CHECK-SAME: {{%.*}}: !spirv.ptr<!spirv.struct<(!spirv.array<512 x f32, stride=4> [0])>, StorageBuffer> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 0)>}
// CHECK-SAME: {{%.*}}: !spirv.NV.coopmatrix<16x16xf16, Subgroup> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 1)>})
// CHECK-SAME: spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>
gpu.func @gpu_wmma_store_op_transpose(%arg0 : memref<32x32xf16, #spirv.storage_class<StorageBuffer>>, %arg1 : !gpu.mma_matrix<16x16xf16, "COp">) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
%i = arith.constant 16 : index
%j = arith.constant 16 : index
// CHECK: %[[COLMAJOR:.*]] = spirv.Constant true
// CHECK: spirv.NV.CooperativeMatrixStore {{%.*}}, {{%.*}}, {{%.*}}, %[[COLMAJOR]] : !spirv.ptr<f32, StorageBuffer>, !spirv.NV.coopmatrix<16x16xf16, Subgroup>
gpu.subgroup_mma_store_matrix %arg1, %arg0[%i,%j] {leadDimension= 32 : index, transpose} : !gpu.mma_matrix<16x16xf16, "COp">, memref<32x32xf16, #spirv.storage_class<StorageBuffer>>
// CHECK: spirv.Return
gpu.return
}
}
}
// -----
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_mma_op
// CHECK-SAME: !spirv.NV.coopmatrix<16x16xf16, Subgroup>
// CHECK-SAME: !spirv.NV.coopmatrix<16x16xf16, Subgroup>
// CHECK-SAME: !spirv.NV.coopmatrix<16x16xf16, Subgroup>
gpu.func @gpu_wmma_mma_op(%A : !gpu.mma_matrix<16x16xf16, "AOp">, %B : !gpu.mma_matrix<16x16xf16, "BOp">, %C : !gpu.mma_matrix<16x16xf16, "COp">) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
// CHECK: {{%.*}} = spirv.NV.CooperativeMatrixMulAdd {{%.*}}, {{%.*}}, {{%.*}} : !spirv.NV.coopmatrix<16x16xf16, Subgroup>, !spirv.NV.coopmatrix<16x16xf16, Subgroup> -> !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%D = gpu.subgroup_mma_compute %A, %B, %C : !gpu.mma_matrix<16x16xf16, "AOp">, !gpu.mma_matrix<16x16xf16, "BOp"> -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: spirv.Return
gpu.return
}
}
}
// -----
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_constant_op
gpu.func @gpu_wmma_constant_op() kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
// CHECK: {{%.*}} = spirv.Constant
%cst = arith.constant 1.0 : f16
// CHECK: {{%.*}} = spirv.CompositeConstruct {{%.*}} : (f16) -> !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%C = gpu.subgroup_mma_constant_matrix %cst : !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: spirv.Return
gpu.return
}
}
}
// -----
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_elementwise_op_default
// CHECK-SAME: !spirv.NV.coopmatrix<16x16xf16, Subgroup>
// CHECK-SAME: !spirv.NV.coopmatrix<16x16xf16, Subgroup>
gpu.func @gpu_wmma_elementwise_op_default(%A : !gpu.mma_matrix<16x16xf16, "COp">, %B : !gpu.mma_matrix<16x16xf16, "COp">) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
// CHECK: {{%.*}} = spirv.FAdd {{%.*}}, {{%.*}} : !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%C = gpu.subgroup_mma_elementwise addf %A, %B : (!gpu.mma_matrix<16x16xf16, "COp">, !gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: {{%.*}} = spirv.FNegate {{%.*}} : !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%D = gpu.subgroup_mma_elementwise negatef %C : (!gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: {{%.*}} = spirv.FDiv {{%.*}}, {{%.*}} : !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%E = gpu.subgroup_mma_elementwise divf %D, %A : (!gpu.mma_matrix<16x16xf16, "COp">, !gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: spirv.Return
gpu.return
}
}
}
// -----
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_elementwise_op_matrix_times_scalar
// CHECK-SAME: %[[A:.+]]: !spirv.NV.coopmatrix<16x16xf16, Subgroup>
// CHECK-SAME: %[[S:.+]]: f16
gpu.func @gpu_wmma_elementwise_op_matrix_times_scalar(%A : !gpu.mma_matrix<16x16xf16, "COp">, %scalar : f16) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
%B = gpu.subgroup_mma_constant_matrix %scalar : !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: %{{.+}} = spirv.MatrixTimesScalar %[[A]], %[[S]] : !spirv.NV.coopmatrix<16x16xf16, Subgroup>, f16
%C = gpu.subgroup_mma_elementwise mulf %A, %B : (!gpu.mma_matrix<16x16xf16, "COp">, !gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: %{{.+}} = spirv.MatrixTimesScalar %[[A]], %[[S]] : !spirv.NV.coopmatrix<16x16xf16, Subgroup>, f16
%D = gpu.subgroup_mma_elementwise mulf %B, %A : (!gpu.mma_matrix<16x16xf16, "COp">, !gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: spirv.Return
gpu.return
}
}
}
// -----
module attributes {
gpu.container_module,
spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Shader, CooperativeMatrixNV, Float16], [SPV_KHR_storage_buffer_storage_class, SPV_NV_cooperative_matrix]>, #spirv.resource_limits<>>} {
gpu.module @kernels {
// CHECK-LABEL: spirv.func @gpu_wmma_elementwise_op_matrix_plus_scalar
// CHECK-SAME: %[[A:.+]]: !spirv.NV.coopmatrix<16x16xf16, Subgroup>
// CHECK-SAME: %[[S:.+]]: f16
gpu.func @gpu_wmma_elementwise_op_matrix_plus_scalar(%A : !gpu.mma_matrix<16x16xf16, "COp">, %scalar : f16) kernel
attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [32, 4, 1]>} {
// CHECK: %[[SM:.+]] = spirv.CompositeConstruct %[[S]] : (f16) -> !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%B = gpu.subgroup_mma_constant_matrix %scalar : !gpu.mma_matrix<16x16xf16, "COp">
// CHECK: %{{.+}} = spirv.FAdd %[[A]], %[[SM]] : !spirv.NV.coopmatrix<16x16xf16, Subgroup>
%C = gpu.subgroup_mma_elementwise addf %A, %B : (!gpu.mma_matrix<16x16xf16, "COp">, !gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf16, "COp">
gpu.return
}
}
}
|
