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/*
* Copyright (c) 2023-2024 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* 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 "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h"
#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuMul.h"
#include "tests/CL/CLAccessor.h"
#include "tests/datasets/DynamicFusionDataset.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/framework/Fixture.h"
#include "tests/framework/Macros.h"
#include "tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h"
#include "tests/validation/Validation.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
/* Synced with tests/validation/CL/PixelwiseMultiplication.cpp from the standard interface.
*
* Difference | Why the difference
* No integer tests | Not supported yet
* No quantized tests | Not supported yet
* No convert policy tests | Not needed as convert policy is ignored by floating types
* No scale tests | Not supported yet
* No rounding modes tests | Not supported yet
* No in place tests | Not supported yet
* No activation tests | Not needed in dynamic fusion interface
*
*/
namespace
{
constexpr AbsoluteTolerance<float> tolerance_f16(
0.0001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
constexpr AbsoluteTolerance<float> tolerance_f32(
0.0001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
} // namespace
TEST_SUITE(CL)
TEST_SUITE(DYNAMIC_FUSION)
TEST_SUITE(MUL)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
framework::dataset::make("LhsInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Unsupported data type U8
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), // Unsupported data type S8
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), // Unsupported data type S16
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // Unsupported data type S32
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), // Unsupported data type QASYMM8
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8_SIGNED), // Unsupported data type QASYMM8_SIGNED
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
TensorInfo(TensorShape(32U, 1U, 1U), 1, DataType::F32), // Broadcasting allowed for lhs
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(15U, 23U, 3U), 1, DataType::F32), // Broadcast Y dimension is not allowed
TensorInfo(TensorShape( 3U, 8U, 9U), 1, DataType::F32), // Broadcast Z dimension is not allowed
TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32), // Batching is allowed
}),
framework::dataset::make("RhsInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8_SIGNED),
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 1U, 1U), 1, DataType::F32), // Broadcasting allowed for rhs
TensorInfo(TensorShape(15U, 1U, 3U), 1, DataType::F32),
TensorInfo(TensorShape( 3U, 8U, 1U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32),
})),
framework::dataset::make("Expected", { true, true, false, false, false, false, false, false, false, false, true, true, false, false, true })),
input1_info, input2_info, expected)
{
// Create a new workload sketch
auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
auto context = GpuWorkloadContext{ &cl_compile_ctx };
GpuWorkloadSketch sketch{ &context };
// Validate Elementwise Mul
auto lhs_info = context.create_tensor_info(input1_info);
auto rhs_info = context.create_tensor_info(input2_info);
bool res = bool(GpuMul::validate_op(sketch, lhs_info, rhs_info));
ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using DynamicFusionCLMulFixture = DynamicFusionMulOneOpValidationFixture<CLTensor, CLAccessor, GpuMul, T>;
template <typename T>
using DynamicFusionCLMulBroadcastFixture = DynamicFusionMulBroadcastValidationFixture<CLTensor, CLAccessor, GpuMul, T>;
template <typename T>
using DynamicFusionCLMulTwoOpsFixture = DynamicFusionMulTwoOpsValidationFixture<CLTensor, CLAccessor, GpuMul, T>;
TEST_SUITE(F16)
FIXTURE_DATA_TEST_CASE(RunSmallOneOp,
DynamicFusionCLMulFixture<half>,
framework::DatasetMode::ALL,
combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", {DataType::F16})),
framework::dataset::make("InPlace", {false})))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp,
DynamicFusionCLMulBroadcastFixture<half>,
framework::DatasetMode::PRECOMMIT,
combine(combine(datasets::TemporaryLimitedSmallShapesBroadcast(),
framework::dataset::make("DataType", {DataType::F16})),
framework::dataset::make("InPlace", {false})))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLargeBroadcastOneOp,
DynamicFusionCLMulBroadcastFixture<half>,
framework::DatasetMode::NIGHTLY,
combine(combine(datasets::TemporaryLimitedLargeShapesBroadcast(),
framework::dataset::make("DataType", {DataType::F16})),
framework::dataset::make("InPlace", {false})))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END() // F16
TEST_SUITE(F32)
FIXTURE_DATA_TEST_CASE(RunSmallOneOp,
DynamicFusionCLMulFixture<float>,
framework::DatasetMode::PRECOMMIT,
combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", {DataType::F32})),
framework::dataset::make("InPlace", {false})))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLargeOneOp,
DynamicFusionCLMulFixture<float>,
framework::DatasetMode::NIGHTLY,
combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", {DataType::F32})),
framework::dataset::make("InPlace", {false})))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp,
DynamicFusionCLMulBroadcastFixture<float>,
framework::DatasetMode::PRECOMMIT,
combine(combine(datasets::TemporaryLimitedSmallShapesBroadcast(),
framework::dataset::make("DataType", {DataType::F32})),
framework::dataset::make("InPlace", {false})))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLargeBroadcastOneOp,
DynamicFusionCLMulBroadcastFixture<float>,
framework::DatasetMode::NIGHTLY,
combine(combine(datasets::TemporaryLimitedLargeShapesBroadcast(),
framework::dataset::make("DataType", {DataType::F32})),
framework::dataset::make("InPlace", {false})))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunSmallTwoOps,
DynamicFusionCLMulTwoOpsFixture<float>,
framework::DatasetMode::PRECOMMIT,
combine(combine(combine(datasets::DynamicFusionElementwiseBinaryTwoOpsSmallShapes(),
framework::dataset::make("DataType", {DataType::F32})),
framework::dataset::make("InPlace", {false})),
framework::dataset::make("FuseTwoOps", {true})))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // F32
TEST_SUITE_END() // MUL
TEST_SUITE_END() // DYNAMIC_FUSION
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
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