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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

763 lines
34 KiB
C++

/*******************************************************************************
*
* MIT License
*
* Copyright 2025 AMD ROCm(TM) Software
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
#include <rocRoller/KernelOptions_detail.hpp>
#include "MatrixMultiplyTestBase.hpp"
#include "Utilities.hpp"
using namespace rocRoller;
namespace MatrixMultiplyTest
{
namespace SolutionParams = rocRoller::Parameters::Solution;
// Params are: (AB type, waveK), (transA, transB)
class WMMATestGFX1250
: public BaseMatrixMultiplyContextFixture<
std::tuple<std::pair<rocRoller::DataType, int>, std::pair<std::string, std::string>>>
{
};
// Params are: (AB type, waveK), (transA, transB)
class F16AccWMMATestGFX1250
: public BaseMatrixMultiplyContextFixture<
std::tuple<std::pair<rocRoller::DataType, int>, std::pair<std::string, std::string>>>
{
};
// Params are: A type, B type, waveK, (transA, transB)
class MixedWMMATestGFX1250
: public BaseMatrixMultiplyContextFixture<std::tuple<rocRoller::DataType,
rocRoller::DataType,
int,
std::pair<std::string, std::string>>>
{
};
// Params are: A type, B type, waveK, (transA, transB)
class MixedWMMAF8F6F4TestGFX1250
: public BaseMatrixMultiplyContextFixture<std::tuple<rocRoller::DataType,
rocRoller::DataType,
int,
std::pair<std::string, std::string>>>
{
};
// Params are: A type, B type, A scale type, B scale type, waveK, scaleBlockSize, (transA, transB)
class MixedWMMAF8F6F4ScaledTestGFX1250
: public BaseMatrixMultiplyContextFixture<std::tuple<rocRoller::DataType,
rocRoller::DataType,
rocRoller::DataType,
rocRoller::DataType,
int,
uint,
std::pair<std::string, std::string>>>
{
};
// Params are: (transA, transB)
class WMMAF4TestGFX1250
: public BaseMatrixMultiplyContextFixture<std::pair<std::string, std::string>>
{
};
// Params are: A typeA, B type, A scale type, B scale type, scaleBlockSize, (transA, transB)
class WMMAF4ScaledTestGFX1250
: public BaseMatrixMultiplyContextFixture<std::tuple<rocRoller::DataType,
rocRoller::DataType,
rocRoller::DataType,
rocRoller::DataType,
uint,
std::pair<std::string, std::string>>>
{
};
// Params: waveK
class ABCWMMATestGFX1250 : public BaseMatrixMultiplyContextFixture<int>
{
};
TEST_P(WMMATestGFX1250, GPU_MatrixMultiplyMacroTileWMMA)
{
const auto [typeAndWaveK, transOp] = std::get<1>(GetParam());
const auto [typeAB, waveK] = typeAndWaveK;
const auto [transA, transB] = transOp;
const auto loadPathB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
auto typeStr{"f16"};
switch(typeAB)
{
case DataType::Half:
matrixMultiplyMacroTile<Half, Half, float>(16, 16, waveK, 1, loadPathB, transA, transB);
break;
case DataType::BFloat16:
matrixMultiplyMacroTile<BFloat16, BFloat16, float>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "bf16";
break;
case DataType::Float:
matrixMultiplyMacroTile<float, float, float>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "f32";
break;
default:
Throw<FatalError>(fmt::format(
"Unexpected data type: {}. (Allowed: Half, Bfloat16, or Float)", toString(typeAB)));
};
const auto numWMMAs = 4; // F32 & F16: mac_k = 4 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_f32_16x16x{}_{}", waveK, typeStr)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(F16AccWMMATestGFX1250, GPU_MatrixMultiplyMacroTileWMMA)
{
const auto [typeAndWaveK, transOp] = std::get<1>(GetParam());
const auto [dataType, waveK] = typeAndWaveK;
const auto [transA, transB] = transOp;
const auto loadPathB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
auto typeStr{"f16"};
switch(dataType)
{
case DataType::Half:
if(waveK == 32)
{
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_f16_16x16x32_f16);
}
else
{
Throw<FatalError>("Invalid waveK value.", ShowValue(waveK));
}
matrixMultiplyMacroTile<Half, Half, Half, Half>(
16, 16, waveK, 1, loadPathB, transA, transB);
break;
case DataType::BFloat16:
if(waveK == 32)
{
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_bf16_16x16x32_bf16);
}
else
{
Throw<FatalError>("Invalid waveK value.", ShowValue(waveK));
}
matrixMultiplyMacroTile<BFloat16, BFloat16, BFloat16, BFloat16>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "bf16";
break;
default:
Throw<FatalError>(fmt::format("Unexpected data type: {}. (Allowed: Half and Bfloat16)",
toString(dataType)));
};
const auto numWMMAs = 4; // F16 mac_k = 4 * wave_k
const std::string wmmaMnemonic{
fmt::format("v_wmma_{}_16x16x{}_{}", typeStr, waveK, typeStr)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(WMMATestGFX1250, GPU_MatrixMultiplyABWMMA)
{
const auto [typeAndWaveK, transOp] = std::get<1>(GetParam());
const auto [typeAB, waveK] = typeAndWaveK;
const auto [transA, transB] = transOp;
const auto loadPathAB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
auto typeStr{"f16"};
switch(typeAB)
{
case DataType::Half:
matrixMultiplyAB<Half, Half, float>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
break;
case DataType::BFloat16:
matrixMultiplyAB<BFloat16, BFloat16, float>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "bf16";
break;
case DataType::Float:
matrixMultiplyAB<float, float, float>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "f32";
break;
default:
Throw<FatalError>(fmt::format(
"Unexpected data type: {}. (Allowed: Half, Bfloat16, or Float)", toString(typeAB)));
};
const auto numWMMAs = 2; // mac_k = 2 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_f32_16x16x{}_{}", waveK, typeStr)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(F16AccWMMATestGFX1250, GPU_MatrixMultiplyABWMMA)
{
const auto [typeAndWaveK, transOp] = std::get<1>(GetParam());
const auto [typeAB, waveK] = typeAndWaveK;
const auto [transA, transB] = transOp;
const auto loadPathAB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
auto typeStr{"f16"};
switch(typeAB)
{
case DataType::Half:
if(waveK == 32)
{
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_f16_16x16x32_f16);
}
else
{
Throw<FatalError>("Invalid waveK value.", ShowValue(waveK));
}
matrixMultiplyAB<Half, Half, Half, Half>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
break;
case DataType::BFloat16:
if(waveK == 32)
{
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_bf16_16x16x32_bf16);
}
else
{
Throw<FatalError>("Invalid waveK value.", ShowValue(waveK));
}
matrixMultiplyAB<BFloat16, BFloat16, BFloat16, BFloat16>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "bf16";
break;
default:
Throw<FatalError>(fmt::format("Unexpected data type: {}. (Allowed: Half and Bfloat16)",
toString(typeAB)));
};
const auto numWMMAs = 2; // mac_k = 2 * wave_k
const std::string wmmaMnemonic{
fmt::format("v_wmma_{}_16x16x{}_{}", typeStr, waveK, typeStr)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(MixedWMMATestGFX1250, GPU_MatrixMultiplyMacroTileMixedWMMA)
{
const auto [typeA, typeB, waveK, transOp] = std::get<1>(GetParam());
const auto [transA, transB] = transOp;
const auto loadPathB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
std::string typeStr;
KernelOptions options{};
options->favourF8F6F4OverF8MatrixInstruction = false;
setKernelOptions(options);
if(typeA == typeB)
{
switch(typeA)
{
case DataType::FP8:
matrixMultiplyMacroTile<FP8, FP8, float>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "fp8_fp8";
break;
case DataType::BF8:
matrixMultiplyMacroTile<BF8, BF8, float>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "bf8_bf8";
break;
default:
Throw<FatalError>(fmt::format("Unexpected data type: {}. (Allowed: FP8 and BF8)",
toString(typeA)));
};
}
else if(typeA == DataType::FP8)
{
AssertFatal(typeB == DataType::BF8,
"Unexpected data type: " + ShowValue(typeB) + "(Allowed: BF8)");
matrixMultiplyMacroTile<FP8, BF8, float>(16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "fp8_bf8";
}
else
{
AssertFatal(typeA == DataType::BF8,
"Unexpected data type: " + ShowValue(typeA) + "(Allowed: BF8)");
AssertFatal(typeB == DataType::FP8,
"Unexpected data type: " + ShowValue(typeB) + "(Allowed: FP8)");
matrixMultiplyMacroTile<BF8, FP8, float>(16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "bf8_fp8";
}
const auto numWMMAs = 2; // F8 mac_k = 2 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_f32_16x16x{}_{}", waveK, typeStr)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(MixedWMMATestGFX1250, GPU_MatrixMultiplyMacroTileMixedF16AccWMMA)
{
REQUIRE_ANY_OF_ARCH_CAP(GPUCapability::HasWMMA_f16_16x16x64_f8,
GPUCapability::HasWMMA_f16_16x16x128_f8);
const auto [typeA, typeB, waveK, transOp] = std::get<1>(GetParam());
const auto [transA, transB] = transOp;
const auto loadPathB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
std::string typeStr;
KernelOptions options{};
options->favourF8F6F4OverF8MatrixInstruction = false;
setKernelOptions(options);
if(typeA == typeB)
{
switch(typeA)
{
case DataType::FP8:
matrixMultiplyMacroTile<FP8, FP8, Half, Half>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "fp8_fp8";
break;
case DataType::BF8:
matrixMultiplyMacroTile<BF8, BF8, Half, Half>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "bf8_bf8";
break;
default:
Throw<FatalError>(fmt::format("Unexpected data type: {}. (Allowed: FP8 and BF8)",
toString(typeA)));
};
}
else if(typeA == DataType::FP8)
{
AssertFatal(typeB == DataType::BF8,
"Unexpected data type: " + ShowValue(typeB) + "(Allowed: BF8)");
matrixMultiplyMacroTile<FP8, BF8, Half, Half>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "fp8_bf8";
}
else
{
AssertFatal(typeA == DataType::BF8,
"Unexpected data type: " + ShowValue(typeA) + "(Allowed: BF8)");
AssertFatal(typeB == DataType::FP8,
"Unexpected data type: " + ShowValue(typeB) + "(Allowed: FP8)");
matrixMultiplyMacroTile<BF8, FP8, Half, Half>(
16, 16, waveK, 1, loadPathB, transA, transB);
typeStr = "bf8_fp8";
}
const auto numWMMAs = 2; // F8 mac_k = 2 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_f16_16x16x{}_{}", waveK, typeStr)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(MixedWMMAF8F6F4TestGFX1250, GPU_MatrixMultiplyMacroTileMixedWMMA)
{
const auto [typeA, typeB, waveK, transOp] = std::get<1>(GetParam());
const auto [transA, transB] = transOp;
const auto loadPathB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
matrixMultiplyMacroTileMixed(typeA, typeB, 16, 16, waveK, 1, loadPathB, transA, transB);
const auto numWMMAs = 2; // F8, F6, and F4 mac_k = 2 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_f32_16x16x{}_f8f6f4", waveK)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(WMMAF4TestGFX1250, GPU_MatrixMultiplyMacroTileWMMA)
{
const auto [transA, transB] = std::get<1>(GetParam());
const auto loadPathB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
matrixMultiplyMacroTile<FP4, FP4, float>(32, 16, 128, 1, loadPathB, transA, transB);
const auto numWMMAs = 2; // F4 mac_k = 2 * wave_k
const std::string wmmaMnemonic{"v_wmma_f32_32x16x128_f4"};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(WMMAF4ScaledTestGFX1250, GPU_MatrixMultiplyMacroTileWMMA)
{
const auto [typeA, typeB, scaleTypeA, scaleTypeB, scaleBlockSize, transOp]
= std::get<1>(GetParam());
const auto [transA, transB] = transOp;
const ScaleParams scaleParams{scaleTypeA, scaleTypeB, scaleBlockSize};
const auto loadPathB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
matrixMultiplyMacroTileMixed(
typeA, typeB, 32, 16, 128, 1, loadPathB, transA, transB, scaleParams);
const auto numWMMAs = 2; // F4 mac_k = 2 * wave_k
std::string wmmaMnemonic;
if(scaleBlockSize == 32)
{
REQUIRE_ARCH_CAP(GPUCapability::HasBlockScaling32);
wmmaMnemonic = "v_wmma_scale_f32_32x16x128_f4";
}
else if(scaleBlockSize == 16)
{
REQUIRE_ARCH_CAP(GPUCapability::HasBlockScaling16);
wmmaMnemonic = "v_wmma_scale16_f32_32x16x128_f4";
}
else
{
Throw<FatalError>(
fmt::format("Unsupported scaleBlockSize: {}. (Allowed 16, 32)", scaleBlockSize));
}
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(MixedWMMAF8F6F4ScaledTestGFX1250, GPU_ScaledMatrixMultiplyMacroTileF8F6F4)
{
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_scale_f8f6f4);
const auto [typeA, typeB, scaleTypeA, scaleTypeB, waveK, scaleBlockSize, transOp]
= std::get<1>(GetParam());
const auto [transA, transB] = transOp;
const ScaleParams scaleParams = {
.scaleTypeA = scaleTypeA, .scaleTypeB = scaleTypeB, .scaleBlockSize = scaleBlockSize};
const auto loadPathB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
matrixMultiplyMacroTileMixed(
typeA, typeB, 16, 16, waveK, 1, loadPathB, transA, transB, scaleParams);
const auto numWMMAs = 2; // F8, F6, and F4 mac_k = 2 * wave_k
std::string wmmaMnemonic;
if(scaleBlockSize == 32)
{
REQUIRE_ARCH_CAP(GPUCapability::HasBlockScaling32);
wmmaMnemonic = fmt::format("v_wmma_scale_f32_16x16x{}_f8f6f4", waveK);
}
else if(scaleBlockSize == 16)
{
REQUIRE_ARCH_CAP(GPUCapability::HasBlockScaling16);
wmmaMnemonic = fmt::format("v_wmma_scale16_f32_16x16x{}_f8f6f4", waveK);
}
else
{
Throw<FatalError>(
fmt::format("Unsupported scaleBlockSize: {}. (Allowed 16, 32)", scaleBlockSize));
}
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(MixedWMMATestGFX1250, GPU_MatrixMultiplyABMixedWMMA)
{
const auto [typeA, typeB, waveK, transOp] = std::get<1>(GetParam());
const auto [transA, transB] = transOp;
const auto loadPathAB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
std::string typeStr;
KernelOptions options{};
options->favourF8F6F4OverF8MatrixInstruction = false;
setKernelOptions(options);
if(typeA == typeB)
{
switch(typeA)
{
case DataType::FP8:
matrixMultiplyAB<FP8, FP8, float>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "fp8_fp8";
break;
case DataType::BF8:
matrixMultiplyAB<BF8, BF8, float>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "bf8_bf8";
break;
default:
Throw<FatalError>(fmt::format("Unexpected data type: {}. (Allowed: FP8 and BF8)",
toString(typeA)));
};
}
else if(typeA == DataType::FP8)
{
AssertFatal(typeB == DataType::BF8,
"Unexpected data type: " + ShowValue(typeB) + "(Allowed: BF8)");
matrixMultiplyAB<FP8, BF8, float>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "fp8_bf8";
}
else
{
AssertFatal(typeA == DataType::BF8,
"Unexpected data type: " + ShowValue(typeA) + "(Allowed: BF8)");
AssertFatal(typeB == DataType::FP8,
"Unexpected data type: " + ShowValue(typeB) + "(Allowed: FP8)");
matrixMultiplyAB<BF8, FP8, float>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "bf8_fp8";
}
const auto numWMMAs = 2; // F8 mac_k = 2 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_f32_16x16x{}_{}", waveK, typeStr)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(MixedWMMATestGFX1250, GPU_MatrixMultiplyABMixedF16AccWMMA)
{
REQUIRE_ANY_OF_ARCH_CAP(GPUCapability::HasWMMA_f16_16x16x64_f8,
GPUCapability::HasWMMA_f16_16x16x128_f8);
const auto [typeA, typeB, waveK, transOp] = std::get<1>(GetParam());
const auto [transA, transB] = transOp;
const auto loadPathAB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
std::string typeStr;
KernelOptions options{};
options->favourF8F6F4OverF8MatrixInstruction = false;
setKernelOptions(options);
if(typeA == typeB)
{
switch(typeA)
{
case DataType::FP8:
matrixMultiplyAB<FP8, FP8, Half, Half>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "fp8_fp8";
break;
case DataType::BF8:
matrixMultiplyAB<BF8, BF8, Half, Half>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "bf8_bf8";
break;
default:
Throw<FatalError>(fmt::format("Unexpected data type: {}. (Allowed: FP8 and BF8)",
toString(typeA)));
};
}
else if(typeA == DataType::FP8)
{
AssertFatal(typeB == DataType::BF8,
"Unexpected data type: " + ShowValue(typeB) + "(Allowed: BF8)");
matrixMultiplyAB<FP8, BF8, Half, Half>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "fp8_bf8";
}
else
{
AssertFatal(typeA == DataType::BF8,
"Unexpected data type: " + ShowValue(typeA) + "(Allowed: BF8)");
AssertFatal(typeB == DataType::FP8,
"Unexpected data type: " + ShowValue(typeB) + "(Allowed: FP8)");
matrixMultiplyAB<BF8, FP8, Half, Half>(
16, 16, waveK, 1, loadPathAB, transA == "T", transB == "T");
typeStr = "bf8_fp8";
}
const auto numWMMAs = 2; // F8 mac_k = 2 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_f16_16x16x{}_{}", waveK, typeStr)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(ABCWMMATestGFX1250, GPU_MatrixMultiplyABCF16AccWMMAFP16)
{
const auto waveK = std::get<1>(GetParam());
const auto loadPathAB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_F16_ACC);
if(waveK == 32)
{
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_f16_16x16x32_f16);
}
else
{
Throw<FatalError>("Invalid waveK value.", ShowValue(waveK));
}
matrixMultiplyABC<Half, Half>(16, 16, waveK, 1, loadPathAB);
const auto numWMMAs = 2; // mac_k = 2 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_f16_16x16x{}_f16", waveK)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
TEST_P(ABCWMMATestGFX1250, GPU_MatrixMultiplyABCF16AccWMMABFloat16)
{
const auto waveK = std::get<1>(GetParam());
const auto loadPathAB = SolutionParams::LoadPath::BufferToLDSViaVGPR;
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_F16_ACC);
if(waveK == 32)
{
REQUIRE_ARCH_CAP(GPUCapability::HasWMMA_bf16_16x16x32_bf16);
}
else
{
Throw<FatalError>("Invalid waveK value.", ShowValue(waveK));
}
matrixMultiplyABC<BFloat16, BFloat16>(16, 16, waveK, 1, loadPathAB);
const auto numWMMAs = 2; // mac_k = 2 * wave_k
const std::string wmmaMnemonic{fmt::format("v_wmma_bf16_16x16x{}_bf16", waveK)};
std::string generatedCode = m_context->instructions()->toString();
EXPECT_EQ(countSubstring(generatedCode, wmmaMnemonic), numWMMAs);
}
INSTANTIATE_TEST_SUITE_P(
MatrixMultiply1250,
WMMATestGFX1250,
::testing::Combine(
::testing::Values(GPUArchTargetGFX1250Rev0, GPUArchTargetGFX1250Rev1),
::testing::Combine(
::testing::Values(std::make_pair(rocRoller::DataType::Half, /*waveK*/ 32),
std::make_pair(rocRoller::DataType::BFloat16, /*waveK*/ 32),
std::make_pair(rocRoller::DataType::Float, /*waveK*/ 4)),
::testing::Values(std::pair<std::string, std::string>("N", "N"),
std::pair<std::string, std::string>("N", "T"),
std::pair<std::string, std::string>("T", "N"),
std::pair<std::string, std::string>("T", "T")))));
INSTANTIATE_TEST_SUITE_P(
MatrixMultiply1250,
F16AccWMMATestGFX1250,
::testing::Combine(
::testing::Values(GPUArchTargetGFX1250Rev0, GPUArchTargetGFX1250Rev1),
::testing::Combine(
::testing::Values(std::make_pair(rocRoller::DataType::Half, /*waveK*/ 32),
std::make_pair(rocRoller::DataType::BFloat16, /*waveK*/ 32)),
::testing::Values(std::pair<std::string, std::string>("N", "N"),
std::pair<std::string, std::string>("N", "T"),
std::pair<std::string, std::string>("T", "N"),
std::pair<std::string, std::string>("T", "T")))));
INSTANTIATE_TEST_SUITE_P(
MatrixMultiply1250Rev1,
MixedWMMATestGFX1250,
::testing::Combine(
::testing::Values(GPUArchTargetGFX1250Rev1),
::testing::Combine(
::testing::Values(rocRoller::DataType::FP8, rocRoller::DataType::BF8),
::testing::Values(rocRoller::DataType::FP8, rocRoller::DataType::BF8),
::testing::Values(/*waveK*/ 128),
::testing::Values(std::pair<std::string, std::string>("N", "N"),
std::pair<std::string, std::string>("N", "T"),
std::pair<std::string, std::string>("T", "N"),
std::pair<std::string, std::string>("T", "T")))));
INSTANTIATE_TEST_SUITE_P(
MatrixMultiply1250,
MixedWMMATestGFX1250,
::testing::Combine(
::testing::Values(GPUArchTargetGFX1250Rev0, GPUArchTargetGFX1250Rev1),
::testing::Combine(
::testing::Values(rocRoller::DataType::FP8, rocRoller::DataType::BF8),
::testing::Values(rocRoller::DataType::FP8, rocRoller::DataType::BF8),
::testing::Values(/*waveK*/ 64),
::testing::Values(std::pair<std::string, std::string>("N", "N"),
std::pair<std::string, std::string>("N", "T"),
std::pair<std::string, std::string>("T", "N"),
std::pair<std::string, std::string>("T", "T")))));
INSTANTIATE_TEST_SUITE_P(
MatrixMultiply1250,
MixedWMMAF8F6F4TestGFX1250,
::testing::Combine(
::testing::Values(GPUArchTargetGFX1250Rev0, GPUArchTargetGFX1250Rev1),
::testing::Combine(::testing::Values(rocRoller::DataType::FP8,
rocRoller::DataType::BF8,
rocRoller::DataType::FP6,
rocRoller::DataType::BF6,
rocRoller::DataType::FP4),
::testing::Values(rocRoller::DataType::FP8,
rocRoller::DataType::BF8,
rocRoller::DataType::FP6,
rocRoller::DataType::BF6,
rocRoller::DataType::FP4),
::testing::Values(/*waveK*/ 128),
::testing::Values(std::pair<std::string, std::string>("N", "N"),
std::pair<std::string, std::string>("N", "T"),
std::pair<std::string, std::string>("T", "N"),
std::pair<std::string, std::string>("T", "T")))));
INSTANTIATE_TEST_SUITE_P(
MatrixMultiply1250Rev1,
WMMAF4TestGFX1250,
::testing::Combine(
::testing::Values(GPUArchTargetGFX1250Rev1),
// TODO: implement transpose support for v_wmma_f32_32x16x128_f4, then re-enable other transposition cases.
::testing::Values(std::pair<std::string, std::string>("T", "N"))));
INSTANTIATE_TEST_SUITE_P(
MatrixMultiply1250Rev1,
WMMAF4ScaledTestGFX1250,
filterValidDataTypeScaleTypeParams<WMMAF4ScaledTestGFX1250::ParamType>(::testing::Combine(
::testing::Values(GPUArchTargetGFX1250Rev1),
::testing::Combine(
::testing::Values(rocRoller::DataType::FP4),
::testing::Values(rocRoller::DataType::FP4),
::testing::Values(rocRoller::DataType::E8M0,
rocRoller::DataType::E5M3,
rocRoller::DataType::E4M3),
::testing::Values(rocRoller::DataType::E8M0,
rocRoller::DataType::E5M3,
rocRoller::DataType::E4M3),
::testing::Values(/*scaleBlockSize*/ 16, 32),
// TODO: mxDataGenerator does not work when fast-moving dim is not multiple
// of scale-block size (the case for non-TN cases).
::testing::Values(std::pair<std::string, std::string>("T", "N"))))));
INSTANTIATE_TEST_SUITE_P(
MatrixMultiply1250,
MixedWMMAF8F6F4ScaledTestGFX1250,
filterValidDataTypeScaleTypeParams<MixedWMMAF8F6F4ScaledTestGFX1250::ParamType>(
::testing::Combine(
::testing::Values(GPUArchTargetGFX1250Rev0, GPUArchTargetGFX1250Rev1),
::testing::Combine(
::testing::Values(rocRoller::DataType::FP8,
rocRoller::DataType::BF8,
rocRoller::DataType::FP6,
rocRoller::DataType::BF6,
rocRoller::DataType::FP4),
::testing::Values(rocRoller::DataType::FP8,
rocRoller::DataType::BF8,
rocRoller::DataType::FP6,
rocRoller::DataType::BF6,
rocRoller::DataType::FP4),
::testing::Values(rocRoller::DataType::E8M0,
rocRoller::DataType::E5M3,
rocRoller::DataType::E4M3),
::testing::Values(rocRoller::DataType::E8M0,
rocRoller::DataType::E5M3,
rocRoller::DataType::E4M3),
::testing::Values(/*waveK*/ 128),
::testing::Values(/*scaleBlockSize*/ 16, 32),
// TODO: mxDataGenerator does not work when fast-moving dim is not multiple
// of scale-block size (the case for non-TN cases).
::testing::Values(std::pair<std::string, std::string>("T", "N"))))));
INSTANTIATE_TEST_SUITE_P(MatrixMultiplyABCWMMA1250,
ABCWMMATestGFX1250,
::testing::Combine(::testing::Values(GPUArchTargetGFX1250Rev0,
GPUArchTargetGFX1250Rev1),
::testing::Values(/*waveK*/ 32)));
} // namespace MatrixMultiplyTest