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Add instance traits for two more grouped forward convolutions (#3112)

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This commit is contained in:
John Shumway
2025-10-29 08:04:13 -07:00
committed by GitHub
parent 121bf0e1f3
commit cafaeb6b7b
11 changed files with 1193 additions and 13 deletions
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4
experimental/builder/test/CMakeLists.txt
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@@ -26,7 +26,9 @@ add_ck_builder_test(test_inline_diff test_inline_diff.cpp)
# Testing the virtual GetInstanceString methods requires kernel compilation.
add_ck_builder_test(test_get_instance_string
test_get_instance_string.cpp)
test_get_instance_string_fwd_grp_conv_v3.cpp
test_get_instance_string_fwd_grp_conv.cpp
test_get_instance_string_fwd_grp_conv_large_tensor.cpp)
# Testing the fwd convolution builder requires kernel compilation.
# To enable parallel compilation, the individual tests are split into separate files.

244
experimental/builder/test/test_instance_traits.cpp → experimental/builder/test/test_fwd_instance_traits.cpp
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@@ -3,19 +3,18 @@
#include <gtest/gtest.h>
#include <gmock/gmock.h>
#include <ck/ck.hpp>
#include <ck/utility/reduction_operator.hpp>
#include <ck_tile/builder/reflect/instance_traits.hpp>
#include <ck_tile/builder/reflect/instance_traits_device_grouped_conv_fwd_multiple_abd_xdl_cshuffle_v3.hpp>
#include <ck_tile/builder/reflect/instance_traits_device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp>
#include <ck_tile/builder/reflect/instance_traits_device_grouped_conv_fwd_multiple_d_xdl_large_tensor_cshuffle.hpp>
namespace {
using ::testing::ElementsAre;
// Test fixture for InstanceTraits tests
class InstanceTraitsTest : public ::testing::Test
{
};
// Test InstanceTraits with DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle_V3
TEST_F(InstanceTraitsTest, ConvFwdInstanceTraitsExtraction)
TEST(InstanceTraitsTest, ConvFwdInstanceTraitsExtraction)
{
// Define a concrete instance type with specific template parameters
using DeviceInstance =
@@ -156,8 +155,7 @@ TEST_F(InstanceTraitsTest, ConvFwdInstanceTraitsExtraction)
ck::tensor_operation::element_wise::PassThrough>::value));
}
// Test instance_string function
TEST_F(InstanceTraitsTest, InstanceStringGeneration)
TEST(InstanceTraitsTest, V3InstanceStringGeneration)
{
// Define a concrete instance type with specific template parameters
using DeviceInstance =
@@ -215,10 +213,8 @@ TEST_F(InstanceTraitsTest, InstanceStringGeneration)
ck::half_t, // AComputeDataType
ck::half_t>; // BComputeDataType
// Generate instance string
std::string instance_str = ck_tile::reflect::instance_string<DeviceInstance>();
// Expected string with all template parameters in exact order
std::string expected_str = "DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle_V3"
"<2" // NDimSpatial
",GNHWC" // ALayout
@@ -269,6 +265,234 @@ TEST_F(InstanceTraitsTest, InstanceStringGeneration)
",fp16" // AComputeDataType
",fp16>"; // BComputeDataType
EXPECT_EQ(instance_str, expected_str);
}
TEST(InstanceTraitsTest, BaseInstanceStringGeneration)
{
using DeviceInstance =
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle<
2, // NDimSpatial
ck::tensor_layout::convolution::GNHWC, // ALayout
ck::tensor_layout::convolution::GKYXC, // BLayout
ck::Tuple<>, // DsLayout
ck::tensor_layout::convolution::GNHWK, // ELayout
ck::half_t, // ADataType
ck::half_t, // BDataType
float, // AccDataType
ck::half_t, // CShuffleDataType
ck::Tuple<>, // DsDataType
ck::half_t, // EDataType
ck::tensor_operation::element_wise::PassThrough, // AElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // BElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // CDEElementwiseOperation
ck::tensor_operation::device::ConvolutionForwardSpecialization::
Default, // ConvForwardSpecialization
ck::tensor_operation::device::GemmSpecialization::Default, // GemmSpec
1, // NumGemmKPrefetchStage
256, // BlockSize
128, // MPerBlock
128, // NPerBlock
16, // KPerBlock
8, // AK1
8, // BK1
32, // MPerXDL
32, // NPerXDL
4, // MXdlPerWave
4, // NXdlPerWave
ck::Sequence<4, 64, 1>, // ABlockTransferThreadClusterLengths_AK0_M_AK1
ck::Sequence<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
ck::Sequence<1, 0, 2>, // ABlockTransferSrcAccessOrder
2, // ABlockTransferSrcVectorDim
8, // ABlockTransferSrcScalarPerVector
8, // ABlockTransferDstScalarPerVector_AK1
1, // ABlockLdsExtraM
ck::Sequence<4, 64, 1>, // BBlockTransferThreadClusterLengths_BK0_N_BK1
ck::Sequence<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
ck::Sequence<1, 0, 2>, // BBlockTransferSrcAccessOrder
2, // BBlockTransferSrcVectorDim
8, // BBlockTransferSrcScalarPerVector
8, // BBlockTransferDstScalarPerVector_BK1
1, // BBlockLdsExtraN
1, // CShuffleMXdlPerWavePerShuffle
1, // CShuffleNXdlPerWavePerShuffle
ck::Sequence<1,
32,
1,
8>, // CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock
8, // CDEBlockTransferScalarPerVector_NPerBlock
ck::half_t, // AComputeDataType
ck::half_t, // BComputeDataType
ck::LoopScheduler::Default, // LoopSched
1>; // NumGroupsToMerge
std::string instance_str = ck_tile::reflect::instance_string<DeviceInstance>();
std::string expected_str = "DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle"
"<2" // NDimSpatial
",GNHWC" // ALayout
",GKYXC" // BLayout
",EmptyTuple" // DsLayout
",GNHWK" // ELayout
",fp16" // ADataType
",fp16" // BDataType
",fp32" // AccDataType
",fp16" // CShuffleDataType
",EmptyTuple" // DsDataType
",fp16" // EDataType
",PassThrough" // AElementwiseOperation
",PassThrough" // BElementwiseOperation
",PassThrough" // CDEElementwiseOperation
",Default" // ConvForwardSpecialization
",Default" // GemmSpec
",1" // NumGemmKPrefetchStage
",256" // BlockSize
",128" // MPerBlock
",128" // NPerBlock
",16" // KPerBlock
",8" // AK1
",8" // BK1
",32" // MPerXDL
",32" // NPerXDL
",4" // MXdlPerWave
",4" // NXdlPerWave
",Seq(4,64,1)" // ABlockTransferThreadClusterLengths
",Seq(1,0,2)" // ABlockTransferThreadClusterArrangeOrder
",Seq(1,0,2)" // ABlockTransferSrcAccessOrder
",2" // ABlockTransferSrcVectorDim
",8" // ABlockTransferSrcScalarPerVector
",8" // ABlockTransferDstScalarPerVector_AK1
",1" // ABlockLdsExtraM
",Seq(4,64,1)" // BBlockTransferThreadClusterLengths
",Seq(1,0,2)" // BBlockTransferThreadClusterArrangeOrder
",Seq(1,0,2)" // BBlockTransferSrcAccessOrder
",2" // BBlockTransferSrcVectorDim
",8" // BBlockTransferSrcScalarPerVector
",8" // BBlockTransferDstScalarPerVector_BK1
",1" // BBlockLdsExtraN
",1" // CShuffleMXdlPerWavePerShuffle
",1" // CShuffleNXdlPerWavePerShuffle
",Seq(1,32,1,8)" // CDEBlockTransferClusterLengths
",8" // CDEBlockTransferScalarPerVector_NPerBlock
",fp16" // AComputeDataType
",fp16" // BComputeDataType
",Default" // LoopSched
",1>"; // NumGroupsToMerge
EXPECT_EQ(instance_str, expected_str);
}
TEST(InstanceTraitsTest, LargeTensorInstanceStringGeneration)
{
using DeviceInstance =
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Xdl_CShuffle_Large_Tensor<
2, // NDimSpatial
ck::tensor_layout::convolution::GNHWC, // ALayout
ck::tensor_layout::convolution::GKYXC, // BLayout
ck::Tuple<>, // DsLayout
ck::tensor_layout::convolution::GNHWK, // ELayout
ck::half_t, // ADataType
ck::half_t, // BDataType
float, // AccDataType
ck::half_t, // CShuffleDataType
ck::Tuple<>, // DsDataType
ck::half_t, // EDataType
ck::tensor_operation::element_wise::PassThrough, // AElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // BElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // CDEElementwiseOperation
ck::tensor_operation::device::ConvolutionForwardSpecialization::
Default, // ConvForwardSpecialization
ck::tensor_operation::device::GemmSpecialization::Default, // GemmSpec
1, // NumGemmKPrefetchStage
256, // BlockSize
128, // MPerBlock
128, // NPerBlock
16, // KPerBlock
8, // AK1
8, // BK1
32, // MPerXDL
32, // NPerXDL
4, // MXdlPerWave
4, // NXdlPerWave
ck::Sequence<4, 64, 1>, // ABlockTransferThreadClusterLengths_AK0_M_AK1
ck::Sequence<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
ck::Sequence<1, 0, 2>, // ABlockTransferSrcAccessOrder
2, // ABlockTransferSrcVectorDim
8, // ABlockTransferSrcScalarPerVector
8, // ABlockTransferDstScalarPerVector_AK1
1, // ABlockLdsExtraM
ck::Sequence<4, 64, 1>, // BBlockTransferThreadClusterLengths_BK0_N_BK1
ck::Sequence<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
ck::Sequence<1, 0, 2>, // BBlockTransferSrcAccessOrder
2, // BBlockTransferSrcVectorDim
8, // BBlockTransferSrcScalarPerVector
8, // BBlockTransferDstScalarPerVector_BK1
1, // BBlockLdsExtraN
1, // CShuffleMXdlPerWavePerShuffle
1, // CShuffleNXdlPerWavePerShuffle
ck::Sequence<1,
32,
1,
8>, // CDEBlockTransferClusterLengths
8, // CDEBlockTransferScalarPerVector_NPerBlock
ck::half_t, // AComputeDataType
ck::half_t, // BComputeDataType
ck::LoopScheduler::Default>; // LoopSched
// Generate instance string
std::string instance_str = ck_tile::reflect::instance_string<DeviceInstance>();
// Expected string with all 48 template parameters
std::string expected_str = "DeviceGroupedConvFwdMultipleD_Xdl_CShuffle_Large_Tensor"
"<2" // NDimSpatial
",GNHWC" // ALayout
",GKYXC" // BLayout
",EmptyTuple" // DsLayout
",GNHWK" // ELayout
",fp16" // ADataType
",fp16" // BDataType
",fp32" // AccDataType
",fp16" // CShuffleDataType
",EmptyTuple" // DsDataType
",fp16" // EDataType
",PassThrough" // AElementwiseOperation
",PassThrough" // BElementwiseOperation
",PassThrough" // CDEElementwiseOperation
",Default" // ConvForwardSpecialization
",Default" // GemmSpec
",1" // NumGemmKPrefetchStage
",256" // BlockSize
",128" // MPerBlock
",128" // NPerBlock
",16" // KPerBlock
",8" // AK1
",8" // BK1
",32" // MPerXDL
",32" // NPerXDL
",4" // MXdlPerWave
",4" // NXdlPerWave
",Seq(4,64,1)" // ABlockTransferThreadClusterLengths
",Seq(1,0,2)" // ABlockTransferThreadClusterArrangeOrder
",Seq(1,0,2)" // ABlockTransferSrcAccessOrder
",2" // ABlockTransferSrcVectorDim
",8" // ABlockTransferSrcScalarPerVector
",8" // ABlockTransferDstScalarPerVector_AK1
",1" // ABlockLdsExtraM
",Seq(4,64,1)" // BBlockTransferThreadClusterLengths
",Seq(1,0,2)" // BBlockTransferThreadClusterArrangeOrder
",Seq(1,0,2)" // BBlockTransferSrcAccessOrder
",2" // BBlockTransferSrcVectorDim
",8" // BBlockTransferSrcScalarPerVector
",8" // BBlockTransferDstScalarPerVector_BK1
",1" // BBlockLdsExtraN
",1" // CShuffleMXdlPerWavePerShuffle
",1" // CShuffleNXdlPerWavePerShuffle
",Seq(1,32,1,8)" // CDEBlockTransferClusterLengths
",8" // CDEBlockTransferScalarPerVector_NPerBlock
",fp16" // AComputeDataType
",fp16" // BComputeDataType
",Default>"; // LoopSched
// Verify the generated string matches exactly
EXPECT_EQ(instance_str, expected_str);
}

104
experimental/builder/test/test_get_instance_string_fwd_grp_conv.cpp Normal file
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@@ -0,0 +1,104 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#include <gtest/gtest.h>
#include <ck_tile/builder/reflect/instance_traits.hpp>
#include <ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_abd.hpp>
#include <ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_instance.hpp>
// Test GetInstanceString through base class pointer for non-V3 variant
TEST(GetInstanceString, ReturnsStringForFwdGrpConvInstance)
{
// Use the template helper to get a working instance configuration
using InstanceTuple =
ck::tensor_operation::device::instance::device_grouped_conv_fwd_xdl_f16_instances<
2, // NDimSpatial
ck::tensor_operation::device::instance::GNHWC, // ALayout
ck::tensor_operation::device::instance::GKYXC, // BLayout
ck::tensor_operation::device::instance::Empty_Tuple, // DsLayout
ck::tensor_operation::device::instance::GNHWK, // ELayout
ck::tensor_operation::device::instance::ConvFwdDefault>; // ConvForwardSpecialization
// Get the first instance from the tuple
using DeviceInstance = typename std::tuple_element<0, InstanceTuple>::type;
// Define the base class type using DeviceGroupedConvFwdMultipleABD
using BaseClass = ck::tensor_operation::device::DeviceGroupedConvFwdMultipleABD<
2, // NDimSpatial
ck::tensor_operation::device::instance::GNHWC, // ALayout
ck::tensor_operation::device::instance::GKYXC, // BLayout
ck::tensor_operation::device::instance::Empty_Tuple, // DsLayout
ck::tensor_operation::device::instance::GNHWK, // ELayout
ck::half_t, // ADataType
ck::half_t, // BDataType
ck::Tuple<>, // DsDataType
ck::half_t, // EDataType
ck::tensor_operation::element_wise::PassThrough, // AElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // BElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // CDEElementwiseOperation
ck::half_t, // AComputeType
ck::half_t>; // BComputeType
// Create an instance of the derived class
DeviceInstance device_instance;
// Get a pointer to the base class
BaseClass* base_ptr = &device_instance;
// Call GetInstanceString through the base class pointer
std::string instance_str = base_ptr->GetInstanceString();
// Expected complete instance string based on the first instance from
// device_grouped_conv_fwd_xdl_f16_instances
std::string expected_str = "DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle"
"<2" // NDimSpatial
",GNHWC" // ALayout
",GKYXC" // BLayout
",EmptyTuple" // DsLayout
",GNHWK" // ELayout
",fp16" // ADataType
",fp16" // BDataType
",fp32" // AccDataType
",fp16" // CShuffleDataType
",EmptyTuple" // DsDataType
",fp16" // EDataType
",PassThrough" // AElementwiseOperation
",PassThrough" // BElementwiseOperation
",PassThrough" // CDEElementwiseOperation
",Default" // ConvForwardSpecialization
",MNKPadding" // GemmSpec
",1" // NumGemmKPrefetchStage
",64" // BlockSize
",64" // MPerBlock
",64" // NPerBlock
",32" // KPerBlock
",8" // AK1
",8" // BK1
",32" // MPerXDL
",32" // NPerXDL
",2" // MXdlPerWave
",2" // NXdlPerWave
",Seq(4,16,1)" // ABlockTransferThreadClusterLengths
",Seq(1,0,2)" // ABlockTransferThreadClusterArrangeOrder
",Seq(1,0,2)" // ABlockTransferSrcAccessOrder
",2" // ABlockTransferSrcVectorDim
",1" // ABlockTransferSrcScalarPerVector
",8" // ABlockTransferDstScalarPerVector_AK1
",1" // ABlockLdsExtraM
",Seq(4,16,1)" // BBlockTransferThreadClusterLengths
",Seq(1,0,2)" // BBlockTransferThreadClusterArrangeOrder
",Seq(1,0,2)" // BBlockTransferSrcAccessOrder
",2" // BBlockTransferSrcVectorDim
",1" // BBlockTransferSrcScalarPerVector
",8" // BBlockTransferDstScalarPerVector_BK1
",1" // BBlockLdsExtraN
",1" // CShuffleMXdlPerWavePerShuffle
",1" // CShuffleNXdlPerWavePerShuffle
",Seq(1,16,1,4)" // CDEBlockTransferClusterLengths
",1" // CDEBlockTransferScalarPerVector_NPerBlock
",fp16" // AComputeDataType
",fp16" // BComputeDataType
",Default" // LoopScheduler
",1>"; // NumGroupsToMerge
EXPECT_EQ(instance_str, expected_str);
}

103
experimental/builder/test/test_get_instance_string_fwd_grp_conv_large_tensor.cpp Normal file
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@@ -0,0 +1,103 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#include <gtest/gtest.h>
#include <ck_tile/builder/reflect/instance_traits.hpp>
#include <ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_abd.hpp>
#include <ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_large_tensor_instance.hpp>
// Test GetInstanceString through base class pointer for large tensor variant
TEST(GetInstanceString, ReturnsStringForFwdGrpConvLargeTensorInstance)
{
// Use the template helper to get a working instance configuration
using InstanceTuple = ck::tensor_operation::device::instance::
device_grouped_conv_fwd_xdl_large_tensor_f16_instances<
2, // NDimSpatial
ck::tensor_operation::device::instance::GNHWC, // ALayout
ck::tensor_operation::device::instance::GKYXC, // BLayout
ck::tensor_operation::device::instance::Empty_Tuple, // DsLayout
ck::tensor_operation::device::instance::GNHWK, // ELayout
ck::tensor_operation::device::instance::ConvFwdDefault>; // ConvForwardSpecialization
// Get the first instance from the tuple
using DeviceInstance = typename std::tuple_element<0, InstanceTuple>::type;
// Define the base class type using DeviceGroupedConvFwdMultipleABD
using BaseClass = ck::tensor_operation::device::DeviceGroupedConvFwdMultipleABD<
2, // NDimSpatial
ck::tensor_operation::device::instance::GNHWC, // ALayout
ck::tensor_operation::device::instance::GKYXC, // BLayout
ck::tensor_operation::device::instance::Empty_Tuple, // DsLayout
ck::tensor_operation::device::instance::GNHWK, // ELayout
ck::half_t, // ADataType
ck::half_t, // BDataType
ck::Tuple<>, // DsDataType
ck::half_t, // EDataType
ck::tensor_operation::element_wise::PassThrough, // AElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // BElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // CDEElementwiseOperation
ck::half_t, // AComputeType
ck::half_t>; // BComputeType
// Create an instance of the derived class
DeviceInstance device_instance;
// Get a pointer to the base class
BaseClass* base_ptr = &device_instance;
// Call GetInstanceString through the base class pointer
std::string instance_str = base_ptr->GetInstanceString();
// Expected complete instance string based on the first instance from
// device_grouped_conv_fwd_xdl_large_tensor_f16_instances
std::string expected_str = "DeviceGroupedConvFwdMultipleD_Xdl_CShuffle_Large_Tensor"
"<2" // NDimSpatial
",GNHWC" // ALayout
",GKYXC" // BLayout
",EmptyTuple" // DsLayout
",GNHWK" // ELayout
",fp16" // ADataType
",fp16" // BDataType
",fp32" // AccDataType
",fp16" // CShuffleDataType
",EmptyTuple" // DsDataType
",fp16" // EDataType
",PassThrough" // AElementwiseOperation
",PassThrough" // BElementwiseOperation
",PassThrough" // CDEElementwiseOperation
",Default" // ConvForwardSpecialization
",MNKPadding" // GemmSpec
",1" // NumGemmKPrefetchStage
",64" // BlockSize
",64" // MPerBlock
",64" // NPerBlock
",32" // KPerBlock
",8" // AK1
",8" // BK1
",32" // MPerXDL
",32" // NPerXDL
",2" // MXdlPerWave
",2" // NXdlPerWave
",Seq(4,16,1)" // ABlockTransferThreadClusterLengths
",Seq(1,0,2)" // ABlockTransferThreadClusterArrangeOrder
",Seq(1,0,2)" // ABlockTransferSrcAccessOrder
",2" // ABlockTransferSrcVectorDim
",1" // ABlockTransferSrcScalarPerVector
",8" // ABlockTransferDstScalarPerVector_AK1
",1" // ABlockLdsExtraM
",Seq(4,16,1)" // BBlockTransferThreadClusterLengths
",Seq(1,0,2)" // BBlockTransferThreadClusterArrangeOrder
",Seq(1,0,2)" // BBlockTransferSrcAccessOrder
",2" // BBlockTransferSrcVectorDim
",1" // BBlockTransferSrcScalarPerVector
",8" // BBlockTransferDstScalarPerVector_BK1
",1" // BBlockLdsExtraN
",1" // CShuffleMXdlPerWavePerShuffle
",1" // CShuffleNXdlPerWavePerShuffle
",Seq(1,16,1,4)" // CDEBlockTransferClusterLengths
",1" // CDEBlockTransferScalarPerVector_NPerBlock
",fp16" // AComputeDataType
",fp16" // BComputeDataType
",Default>"; // LoopScheduler
EXPECT_EQ(instance_str, expected_str);
}

4
experimental/builder/test/test_get_instance_string.cpp → experimental/builder/test/test_get_instance_string_fwd_grp_conv_v3.cpp
View File

@@ -6,8 +6,8 @@
#include <ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_abd.hpp>
#include <ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_comp_instance.hpp>
// Test GetInstanceString through base class pointer
TEST(GetInstanceStringTest, GetInstanceStringThroughBaseClass)
// Test GetInstanceString through base class pointer for V3 variant
TEST(GetInstanceString, ReturnsStringForFwdGrpConvV3Instance)
{
// Use the template helper to get a working instance configuration
using InstanceTuple =

8
experimental/builder/test/test_instance_traits_util.cpp
View File

@@ -199,6 +199,14 @@ TEST(InstanceTraitsUtil, PipelineVersionNameReturnsCorrectStrings)
ElementsAre("v1", "v2", "v3", "v4", "v5"));
}
TEST(InstanceTraitsUtil, LoopSchedulerNameReturnsCorrectStrings)
{
using enum ck::LoopScheduler;
EXPECT_THAT(std::vector<std::string_view> names = {loop_scheduler_name(Default),
loop_scheduler_name(Interwave)},
ElementsAre("Default", "Interwave"));
}
TEST(InstanceTraitsUtil, TupleNameReturnsEmptyTupleForEmptyTuple)
{
EXPECT_EQ(tuple_name<ck::Tuple<>>(), "EmptyTuple");