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-rw-r--r--tests/validation/dynamic_fusion/gpu/cl/Add.cpp157
-rw-r--r--tests/validation/dynamic_fusion/gpu/cl/Mul.cpp223
2 files changed, 323 insertions, 57 deletions
diff --git a/tests/validation/dynamic_fusion/gpu/cl/Add.cpp b/tests/validation/dynamic_fusion/gpu/cl/Add.cpp
index 0385407ad2..52ba0520ad 100644
--- a/tests/validation/dynamic_fusion/gpu/cl/Add.cpp
+++ b/tests/validation/dynamic_fusion/gpu/cl/Add.cpp
@@ -34,7 +34,6 @@
#include "tests/datasets/DynamicFusionDataset.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h"
-#include "tests/validation/reference/ElementwiseOperations.h"
namespace arm_compute
{
@@ -42,6 +41,14 @@ namespace test
{
namespace validation
{
+/* Synced with tests/validation/CL/ArithmeticAddition.cpp from the standard interface.
+ *
+ * Difference | Why the difference
+ * No quantized tests | Not supported yet
+ * No in place tests | Not supported yet
+ * No activation tests | Not needed in dynamic fusion interface
+ *
+ */
TEST_SUITE(CL)
TEST_SUITE(DYNAMIC_FUSION)
TEST_SUITE(ADD)
@@ -49,29 +56,33 @@ TEST_SUITE(ADD)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
- framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+ framework::dataset::make("LhsInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), // S16 is valid data type for Add
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // S32 is valid data type for Add
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::QASYMM8), // Unsupported data type QASYMM8
+ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8_SIGNED), // Unsupported data type QASYMM8
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::S16), // Broadcast Z dimension is not allowed
TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32), // Batching is allowed
}),
- framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+ 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::S16),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+ 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
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::S16),
TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32),
})),
- framework::dataset::make("Expected", { true, false, true, true, false, true, true, false, false, true})),
+ framework::dataset::make("Expected", { true, false, true, true, false, true, false, false, true, false, false, true})),
input1_info, input2_info, expected)
{
// Create a new workload sketch
@@ -79,7 +90,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
auto gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx };
GpuWorkloadSketch sketch{ &gpu_ctx };
- // Fuse Elementwise Add
+ // Validate Elementwise Add
auto lhs_info = sketch.create_tensor_info(input1_info);
auto rhs_info = sketch.create_tensor_info(input2_info);
@@ -89,59 +100,73 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
// clang-format on
// *INDENT-ON*
-RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.1)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
-constexpr float tolerance_num = 0.01f; /**< Tolerance number */
+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 */
+constexpr float tolerance_num = 0.0001f; /**< Tolerance number */
template <typename T>
-using DynamicFusionAddOpFixture = DynamicFusionGpuElementwiseBinaryOneOpValidationFixture<CLTensor, CLAccessor, GpuAdd, T>;
+using DynamicFusionCLAddFixture = DynamicFusionGpuElementwiseBinaryOneOpValidationFixture<CLTensor, CLAccessor, GpuAdd, T>;
template <typename T>
-using DynamicFusionAddOpBroadcastFixture = DynamicFusionGpuElementwiseBinaryBroadcastOneOpValidationFixture<CLTensor, CLAccessor, GpuAdd, T>;
+using DynamicFusionCLAddBroadcastFixture = DynamicFusionGpuElementwiseBinaryBroadcastOneOpValidationFixture<CLTensor, CLAccessor, GpuAdd, T>;
template <typename T>
-using DynamicFusionGpuFuseTwoAddOpsFixture = DynamicFusionGpuElementwiseBinaryTwoOpsValidationFixture<CLTensor, CLAccessor, GpuAdd, T>;
+using DynamicFusionCLAddTwoOpsFixture = DynamicFusionGpuElementwiseBinaryTwoOpsValidationFixture<CLTensor, CLAccessor, GpuAdd, T>;
TEST_SUITE(FP32)
-FIXTURE_DATA_TEST_CASE(RunSmallOneOp, DynamicFusionAddOpFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
- framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::SmallShapesNoBatches()),
- framework::dataset::make("DataType", { DataType::F32 })),
- framework::dataset::make("InPlace", { false, true })))
+FIXTURE_DATA_TEST_CASE(RunSmallOneOp,
+ DynamicFusionCLAddFixture<float>,
+ framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ 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, DynamicFusionAddOpFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(
- framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::LargeShapesNoBatches()),
- framework::dataset::make("DataType", { DataType::F32 })),
- framework::dataset::make("InPlace", { false, true })))
+FIXTURE_DATA_TEST_CASE(RunLargeOneOp,
+ DynamicFusionCLAddFixture<float>,
+ framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ 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, DynamicFusionAddOpBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::TemporaryLimitedSmallShapesBroadcast()),
- framework::dataset::make("DataType", { DataType::F32 })),
- framework::dataset::make("InPlace", { false, true })))
+FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp,
+ DynamicFusionCLAddBroadcastFixture<float>,
+ framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ 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, DynamicFusionAddOpBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::TemporaryLimitedLargeShapesBroadcast()),
- framework::dataset::make("DataType", { DataType::F32 })),
- framework::dataset::make("InPlace", { false, true })))
+FIXTURE_DATA_TEST_CASE(RunLargeBroadcastOneOp,
+ DynamicFusionCLAddBroadcastFixture<float>,
+ framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ 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, DynamicFusionGpuFuseTwoAddOpsFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::DynamicFusionElementwiseBinaryTwoOpsSmallShapes()),
- framework::dataset::make("DataType", { DataType::F32 })),
- framework::dataset::make("InPlace", { false })))
+FIXTURE_DATA_TEST_CASE(RunSmallTwoOps,
+ DynamicFusionCLAddTwoOpsFixture<float>,
+ framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ 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);
@@ -149,19 +174,25 @@ FIXTURE_DATA_TEST_CASE(RunSmallTwoOps, DynamicFusionGpuFuseTwoAddOpsFixture<floa
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
-FIXTURE_DATA_TEST_CASE(RunSmallOneOp, DynamicFusionAddOpFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::SmallShapesNoBatches()),
- framework::dataset::make("DataType", { DataType::F16 })),
- framework::dataset::make("InPlace", { false, true })))
+FIXTURE_DATA_TEST_CASE(RunSmallOneOp,
+ DynamicFusionCLAddFixture<half>,
+ framework::DatasetMode::ALL,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ datasets::SmallShapes()),
+ framework::dataset::make("DataType", { DataType::F16 })),
+ framework::dataset::make("InPlace", { false })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num);
}
-FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp, DynamicFusionAddOpBroadcastFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::TemporaryLimitedSmallShapesBroadcast()),
- framework::dataset::make("DataType", { DataType::F16 })),
- framework::dataset::make("InPlace", { false })))
+FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp,
+ DynamicFusionCLAddBroadcastFixture<half>,
+ framework::DatasetMode::ALL,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ datasets::TemporaryLimitedSmallShapesBroadcast()),
+ framework::dataset::make("DataType", { DataType::F16 })),
+ framework::dataset::make("InPlace", { false })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num);
@@ -170,10 +201,13 @@ FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp, DynamicFusionAddOpBroadcastFixtur
TEST_SUITE_END() // FP16
TEST_SUITE(S32)
-FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionAddOpFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::SmallShapesNoBatches()),
- framework::dataset::make("DataType", { DataType::S32 })),
- framework::dataset::make("InPlace", { false })))
+FIXTURE_DATA_TEST_CASE(RunSmall,
+ DynamicFusionCLAddFixture<int32_t>,
+ framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ datasets::SmallShapes()),
+ framework::dataset::make("DataType", { DataType::S32 })),
+ framework::dataset::make("InPlace", { false })))
{
// Validate output
validate(CLAccessor(_target), _reference);
@@ -181,18 +215,24 @@ FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionAddOpFixture<int32_t>, framework::
TEST_SUITE_END() // S32
TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionAddOpFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::SmallShapesNoBatches()),
- framework::dataset::make("DataType", { DataType::S16 })),
- framework::dataset::make("InPlace", { false })))
+FIXTURE_DATA_TEST_CASE(RunSmall,
+ DynamicFusionCLAddFixture<int16_t>,
+ framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ datasets::SmallShapes()),
+ framework::dataset::make("DataType", { DataType::S16 })),
+ framework::dataset::make("InPlace", { false })))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionAddOpFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::LargeShapesNoBatches()),
- framework::dataset::make("DataType", { DataType::S16 })),
- framework::dataset::make("InPlace", { false })))
+FIXTURE_DATA_TEST_CASE(RunLarge,
+ DynamicFusionCLAddFixture<int16_t>,
+ framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ datasets::LargeShapes()),
+ framework::dataset::make("DataType", { DataType::S16 })),
+ framework::dataset::make("InPlace", { false })))
{
// Validate output
validate(CLAccessor(_target), _reference);
@@ -200,10 +240,13 @@ FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionAddOpFixture<int16_t>, framework::
TEST_SUITE_END() // S16
TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionAddOpFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
- datasets::SmallShapesNoBatches()),
- framework::dataset::make("DataType", { DataType::U8 })),
- framework::dataset::make("InPlace", { false })))
+FIXTURE_DATA_TEST_CASE(RunSmall,
+ DynamicFusionCLAddFixture<uint8_t>,
+ framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }),
+ datasets::SmallShapes()),
+ framework::dataset::make("DataType", { DataType::U8 })),
+ framework::dataset::make("InPlace", { false })))
{
// Validate output
validate(CLAccessor(_target), _reference);
diff --git a/tests/validation/dynamic_fusion/gpu/cl/Mul.cpp b/tests/validation/dynamic_fusion/gpu/cl/Mul.cpp
new file mode 100644
index 0000000000..a9e8f9c15f
--- /dev/null
+++ b/tests/validation/dynamic_fusion/gpu/cl/Mul.cpp
@@ -0,0 +1,223 @@
+/*
+ * Copyright (c) 2023 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/framework/Fixture.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+
+#include "tests/datasets/DynamicFusionDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/validation/fixtures/dynamic_fusion/operators/MulFixture.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 gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx };
+ GpuWorkloadSketch sketch{ &gpu_ctx };
+
+ // Validate Elementwise Mul
+ auto lhs_info = sketch.create_tensor_info(input1_info);
+ auto rhs_info = sketch.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
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-16 16:08:06 +0000