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// RUN: imex-opt -imex-convert-gpu-to-spirv %s | FileCheck %s | ||
// RUN: IMEX_NOT_PREFER_RAWSEND=1 imex-opt -imex-convert-gpu-to-spirv %s | FileCheck %s --check-prefix=LSC | ||
module @gemm attributes {gpu.container_module} { | ||
memref.global "private" constant @__constant_8x16xf16 : memref<8x16xf16> = dense<5.000000e-01> | ||
memref.global "private" constant @__constant_16x16xf16 : memref<16x16xf16> = dense<1.099610e+00> | ||
func.func @test(%arg0: memref<8x16xf16>, %arg1: memref<16x16xf16>) -> memref<8x16xf32> attributes {llvm.emit_c_interface} { | ||
%c1 = arith.constant 1 : index | ||
%memref = gpu.alloc host_shared () : memref<8x16xf16> | ||
memref.copy %arg0, %memref : memref<8x16xf16> to memref<8x16xf16> | ||
%memref_0 = gpu.alloc host_shared () : memref<16x16xf16> | ||
memref.copy %arg1, %memref_0 : memref<16x16xf16> to memref<16x16xf16> | ||
%memref_1 = gpu.alloc host_shared () : memref<8x16xf32> | ||
gpu.launch_func @test_kernel::@test_kernel blocks in (%c1, %c1, %c1) threads in (%c1, %c1, %c1) args(%memref : memref<8x16xf16>, %memref_0 : memref<16x16xf16>, %memref_1 : memref<8x16xf32>) | ||
gpu.dealloc %memref : memref<8x16xf16> | ||
gpu.dealloc %memref_0 : memref<16x16xf16> | ||
return %memref_1 : memref<8x16xf32> | ||
} | ||
gpu.module @test_kernel attributes {spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Addresses, Float16Buffer, Int64, Int16, Int8, Kernel, Linkage, Vector16, GenericPointer, Groups, Float16, Float64, AtomicFloat32AddEXT, ExpectAssumeKHR, SubgroupDispatch, VectorComputeINTEL, VectorAnyINTEL], [SPV_EXT_shader_atomic_float_add, SPV_KHR_expect_assume, SPV_INTEL_vector_compute]>, api=OpenCL, #spirv.resource_limits<>>} { | ||
gpu.func @test_kernel(%arg0: memref<8x16xf16>, %arg1: memref<16x16xf16>, %arg2: memref<8x16xf32>) kernel attributes {VectorComputeFunctionINTEL, spirv.entry_point_abi = #spirv.entry_point_abi<>} { | ||
// LSC: spirv.FunctionCall @llvm_genx_lsc_prefetch2d_stateless_i1_i64 | ||
// LSC: spirv.FunctionCall @llvm_genx_lsc_prefetch2d_stateless_i1_i64 | ||
// LSC: spirv.FunctionCall @llvm_genx_lsc_load2d_stateless_v64i32_i1_i64 | ||
// LSC: spirv.FunctionCall @llvm_genx_lsc_load2d_stateless_v128i32_i1_i64 | ||
// LSC: spirv.FunctionCall @llvm_genx_dpas_nosrc0_v128f32_v128i32_v64i32 | ||
// LSC: spirv.FunctionCall @llvm_genx_lsc_store2d_stateless_i1_i64_v128f32 | ||
// CHECK: %[[BASE:.*]] = spirv.ConvertPtrToU %arg0 : !spirv.ptr<!spirv.array<128 x f16>, CrossWorkgroup> to i64 | ||
// CHECK: %[[BASE1:.*]] = spirv.VectorInsertDynamic %[[BASE]] | ||
// CHECK: %[[BASE2:.*]] = spirv.Bitcast %[[BASE1]] | ||
// CHECK: spirv.VectorInsertDynamic | ||
// CHECK: spirv.VectorInsertDynamic | ||
// CHECK: spirv.FunctionCall @llvm_genx_raw_send2_noresult_i1_v8i32 | ||
// CHECK: spirv.FunctionCall @llvm_genx_raw_send2_noresult_i1_v8i32 | ||
// CHECK: spirv.FunctionCall @llvm_genx_raw_send2_v64i32_i1_v8i32 | ||
// CHECK: spirv.FunctionCall @llvm_genx_raw_send2_v128i32_i1_v8i32 | ||
// CHECK: spirv.FunctionCall @llvm_genx_dpas_nosrc0_v128f32_v128i32_v64i32 | ||
// CHECK: spirv.FunctionCall @llvm_genx_raw_sends2_noresult_i1_v8i32_v128f32 | ||
%0 = xegpu.create_nd_tdesc %arg0[0, 0] {mode = vc} : memref<8x16xf16> -> !xegpu.tensor_desc<8x16xf16> | ||
%1 = xegpu.create_nd_tdesc %arg1[0, 0] {mode = vc} : memref<16x16xf16> -> !xegpu.tensor_desc<16x16xf16> | ||
%2 = xegpu.create_nd_tdesc %arg2[0, 0] {mode = vc} : memref<8x16xf32> -> !xegpu.tensor_desc<8x16xf32> | ||
xegpu.prefetch_nd %0 {mode = vc} : !xegpu.tensor_desc<8x16xf16> | ||
xegpu.prefetch_nd %1 {mode = vc} : !xegpu.tensor_desc<16x16xf16> | ||
|
||
%3 = xegpu.load_nd %0 {mode = vc, vnni_axis = 1} : !xegpu.tensor_desc<8x16xf16> -> vector<8x8x2xf16> | ||
%4 = xegpu.load_nd %1 {mode = vc, vnni_axis = 0} : !xegpu.tensor_desc<16x16xf16> -> vector<8x16x2xf16> | ||
%5 = xegpu.dpas %3, %4 {mode = vc} : vector<8x8x2xf16>, vector<8x16x2xf16> -> vector<8x16xf32> | ||
xegpu.store_nd %5, %2 {mode = vc} : vector<8x16xf32>, !xegpu.tensor_desc<8x16xf32> | ||
gpu.return | ||
} | ||
} | ||
func.func @main() attributes {llvm.emit_c_interface} { | ||
%0 = memref.get_global @__constant_8x16xf16 : memref<8x16xf16> | ||
%1 = memref.get_global @__constant_16x16xf16 : memref<16x16xf16> | ||
%2 = call @test(%0, %1) : (memref<8x16xf16>, memref<16x16xf16>) -> memref<8x16xf32> | ||
%cast = memref.cast %2 : memref<8x16xf32> to memref<*xf32> | ||
//call @printMemrefF32(%cast) : (memref<*xf32>) -> () | ||
return | ||
} | ||
func.func private @printMemrefF32(memref<*xf32>) attributes {llvm.emit_c_interface} | ||
} |
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test/Integration/Dialect/XeGPU/gemm_1024x1024xf16.using.updateoffset.mlir
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// RUN: %python_executable %imex_runner --requires=l0-runtime -i %s --pass-pipeline-file=%p/xegpu-to-llvm.pp \ | ||
// RUN: --runner imex-cpu-runner -e main \ | ||
// RUN: --entry-point-result=void \ | ||
// RUN: --shared-libs=%irunner_utils,%mlir_runner_utils,%mlir_c_runner_utils,%levelzero_runtime --filecheck | ||
// RUN: %python_executable %imex_runner --requires=sycl-runtime -i %s --pass-pipeline-file=%p/xegpu-to-llvm.pp \ | ||
// RUN: --runner imex-cpu-runner -e main \ | ||
// RUN: --entry-point-result=void \ | ||
// RUN: --shared-libs=%irunner_utils,%mlir_runner_utils,%mlir_c_runner_utils,%sycl_runtime --filecheck | ||
module @gemm attributes {gpu.container_module} { | ||
memref.global "private" @__constant_1024x1024xf16 : memref<1024x1024xf16> = dense<0.0> | ||
memref.global "private" @__constant_1024x1024xf16_ : memref<1024x1024xf16> = dense<0.0> | ||
memref.global "private" @__constant_1024x1024xf32 : memref<1024x1024xf32> = dense<0.0> | ||
func.func @test(%arg0: memref<1024x1024xf16>, %arg1: memref<1024x1024xf16>) -> memref<1024x1024xf32> attributes {llvm.emit_c_interface} { | ||
%c64 = arith.constant 64 : index | ||
%c128 = arith.constant 128 : index | ||
%c1 = arith.constant 1 : index | ||
%memref = gpu.alloc host_shared () : memref<1024x1024xf16> | ||
memref.copy %arg0, %memref : memref<1024x1024xf16> to memref<1024x1024xf16> | ||
%memref_0 = gpu.alloc host_shared () : memref<1024x1024xf16> | ||
memref.copy %arg1, %memref_0 : memref<1024x1024xf16> to memref<1024x1024xf16> | ||
%memref_1 = gpu.alloc host_shared () : memref<1024x1024xf32> | ||
gpu.launch_func @test_kernel::@test_kernel blocks in (%c128, %c64, %c1) threads in (%c1, %c1, %c1) args(%memref : memref<1024x1024xf16>, %memref_0 : memref<1024x1024xf16>, %memref_1 : memref<1024x1024xf32>) | ||
gpu.dealloc %memref : memref<1024x1024xf16> | ||
gpu.dealloc %memref_0 : memref<1024x1024xf16> | ||
return %memref_1 : memref<1024x1024xf32> | ||
} | ||
gpu.module @test_kernel attributes {spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Addresses, Float16Buffer, Int64, Int16, Int8, Kernel, Linkage, Vector16, GenericPointer, Groups, Float16, Float64, AtomicFloat32AddEXT, ExpectAssumeKHR, SubgroupDispatch, VectorComputeINTEL, VectorAnyINTEL], [SPV_EXT_shader_atomic_float_add, SPV_KHR_expect_assume, SPV_INTEL_vector_compute]>, api=OpenCL, #spirv.resource_limits<>>} { | ||
gpu.func @test_kernel(%arg0: memref<1024x1024xf16>, %arg1: memref<1024x1024xf16>, %arg2: memref<1024x1024xf32>) kernel attributes {VectorComputeFunctionINTEL, gpu.known_block_size = array<i32: 1, 1, 1>, gpu.known_grid_size = array<i32: 128, 64, 1>, spirv.entry_point_abi = #spirv.entry_point_abi<>} { | ||
%c0 = arith.constant 0 : index | ||
%c16 = arith.constant 16 : index | ||
%c8 = arith.constant 8 : index | ||
%c1024 = arith.constant 1024 : index | ||
%0 = gpu.block_id x | ||
%1 = gpu.block_id y | ||
%2 = arith.muli %0, %c8 : index | ||
%3 = arith.muli %1, %c16 : index | ||
%4 = xegpu.create_nd_tdesc %arg2[%2, %3] {mode = vc} : memref<1024x1024xf32> -> !xegpu.tensor_desc<8x16xf32> | ||
%5 = xegpu.load_nd %4 {mode = vc} : !xegpu.tensor_desc<8x16xf32> -> vector<8x16xf32> | ||
// each work-group has 1 subgroup. the subgroup caculates a [8x16 = 8x1024 * 1024x16] block | ||
%7 = xegpu.create_nd_tdesc %arg0[%2, %c0] {mode=vc}: memref<1024x1024xf16> -> !xegpu.tensor_desc<8x16xf16> | ||
%8 = xegpu.create_nd_tdesc %arg1[%c0, %3] {mode=vc}: memref<1024x1024xf16> -> !xegpu.tensor_desc<16x16xf16> | ||
%6:3 = scf.for %arg3 = %c0 to %c1024 step %c16 iter_args(%arg4 = %5, %subA = %7, %subB = %8) -> (vector<8x16xf32>, !xegpu.tensor_desc<8x16xf16>, !xegpu.tensor_desc<16x16xf16>) { | ||
%9 = xegpu.load_nd %subA {mode=vc, vnni_axis = 1}: !xegpu.tensor_desc<8x16xf16> -> vector<8x8x2xf16> | ||
%10 = xegpu.load_nd %subB {mode=vc, vnni_axis = 0} : !xegpu.tensor_desc<16x16xf16> -> vector<8x16x2xf16> | ||
%11 = xegpu.dpas %9, %10, %arg4 {mode=vc}: vector<8x8x2xf16>, vector<8x16x2xf16>, vector<8x16xf32> -> vector<8x16xf32> | ||
%12 = xegpu.update_nd_offset %subA, [%c0, %c16] {mode=vc}: !xegpu.tensor_desc<8x16xf16> -> !xegpu.tensor_desc<8x16xf16> | ||
%13 = xegpu.update_nd_offset %subB, [%c16, %c0] {mode=vc}: !xegpu.tensor_desc<16x16xf16> -> !xegpu.tensor_desc<16x16xf16> | ||
scf.yield %11, %12, %13: vector<8x16xf32>, !xegpu.tensor_desc<8x16xf16>, !xegpu.tensor_desc<16x16xf16> | ||
} | ||
xegpu.store_nd %6#0, %4 {mode = vc}: vector<8x16xf32>, !xegpu.tensor_desc<8x16xf32> | ||
gpu.return | ||
} | ||
} | ||
func.func @main() attributes {llvm.emit_c_interface} { | ||
%0 = memref.get_global @__constant_1024x1024xf16 : memref<1024x1024xf16> | ||
%1 = memref.get_global @__constant_1024x1024xf16_ : memref<1024x1024xf16> | ||
%ref = memref.get_global @__constant_1024x1024xf32 : memref<1024x1024xf32> | ||
%init = arith.constant 0.0 : f16 | ||
%c0 = arith.constant 0 : index | ||
%c1 = arith.constant 1 : index | ||
%c8 = arith.constant 8 : index | ||
%c16 = arith.constant 16 : index | ||
%c128 = arith.constant 128 : index | ||
%c1024 = arith.constant 1024 : index | ||
// fill the top-left block 128x128 | ||
// A matrix: row-major, start from 0.0, increase 0.01 per element | ||
// B matrix: A matrix + 1.0 | ||
scf.for %arg0 = %c0 to %c128 step %c1 { | ||
scf.for %arg1 = %c0 to %c128 step %c1 { | ||
%int0 = arith.index_cast %arg0 : index to i16 | ||
%int1 = arith.index_cast %arg1 : index to i16 | ||
%c128_i16 = arith.constant 128 : i16 | ||
%idx0 = arith.muli %int0, %c128_i16 : i16 | ||
%idx1 = arith.addi %int1, %idx0 : i16 | ||
%fp = arith.uitofp %idx1 : i16 to f16 | ||
%cst100 = arith.constant 100.0 : f16 | ||
%val0 = arith.divf %fp, %cst100 : f16 | ||
%cst1 = arith.constant 1.0 : f16 | ||
%val1 = arith.addf %val0, %cst1 : f16 | ||
memref.store %val0, %0[%arg0, %arg1] : memref<1024x1024xf16> | ||
memref.store %val1, %1[%arg0, %arg1] : memref<1024x1024xf16> | ||
} | ||
} | ||
// caculate the result C matrix | ||
scf.for %arg0 = %c0 to %c1024 step %c1 { | ||
scf.for %arg1 = %c0 to %c1024 step %c1 { | ||
%acc = memref.load %ref[%arg0, %arg1] : memref<1024x1024xf32> | ||
%res = scf.for %arg2 = %c0 to %c1024 step %c1 iter_args(%arg3 = %acc) -> f32 { | ||
%a = memref.load %0[%arg0, %arg2] : memref<1024x1024xf16> | ||
%b = memref.load %1[%arg2, %arg1] : memref<1024x1024xf16> | ||
%c = arith.mulf %a, %b : f16 | ||
%cc = arith.extf %c : f16 to f32 | ||
%ccc = arith.addf %cc, %arg3 : f32 | ||
scf.yield %ccc : f32 | ||
} | ||
memref.store %res, %ref[%arg0, %arg1] : memref<1024x1024xf32> | ||
} | ||
} | ||
|
||
%2 = call @test(%0, %1) : (memref<1024x1024xf16>, memref<1024x1024xf16>) -> memref<1024x1024xf32> | ||
%cast = memref.cast %2 : memref<1024x1024xf32> to memref<*xf32> | ||
//call @printMemrefF32(%cast) : (memref<*xf32>) -> () | ||
%cast_ref = memref.cast %ref : memref<1024x1024xf32> to memref<*xf32> | ||
//call @printMemrefF32(%cast_ref) : (memref<*xf32>) -> () | ||
// CHECK: [ALLCLOSE: TRUE] | ||
call @printAllcloseF32(%cast, %cast_ref) : (memref<*xf32>, memref<*xf32>) -> () | ||
return | ||
} | ||
func.func private @printMemrefF32(memref<*xf32>) attributes {llvm.emit_c_interface} | ||
func.func private @printAllcloseF32(memref<*xf32>, memref<*xf32>) attributes {llvm.emit_c_interface} | ||
} |
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