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diff --git a/tests/validation/dynamic_fusion/gpu/cl/Mul.cpp b/tests/validation/dynamic_fusion/gpu/cl/Mul.cpp
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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
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-03 18:09:09 +0000