Implement Cast operator in dynamic fusion

The operator is migrated into dynamic fusion for all data types supported
Resolves: COMPMID-5693

Change-Id: I3c550d3d1cd04570f453beae678c3f60d4cb1a73
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8755
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

2 files changed, 410 insertions, 0 deletions

diff --git a/tests/validation/dynamic_fusion/gpu/cl/Cast.cpp b/tests/validation/dynamic_fusion/gpu/cl/Cast.cpp
new file mode 100644
index 0000000000..cb6c8c52f6
--- /dev/null
+++ b/tests/validation/dynamic_fusion/gpu/cl/Cast.cpp
@@ -0,0 +1,235 @@
+/*
+ * Copyright (c) 2022 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/core/Types.h"
+#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuCast.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+
+#include "tests/CL/CLAccessor.h"
+#include "tests/datasets/ConvertPolicyDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+// Tolerance
+constexpr AbsoluteTolerance<float> one_tolerance(1);
+constexpr AbsoluteTolerance<float> zero_tolerance(0);
+
+/** Input data sets **/
+// QASYMM8
+const auto CastQASYMM8toF32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::F32));
+
+// U8
+const auto CastU8toS8Dataset  = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S8));
+const auto CastU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U16));
+const auto CastU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16));
+const auto CastU8toU32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U32));
+const auto CastU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S32));
+const auto CastU8toF16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::F16));
+const auto CastU8toF32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::F32));
+
+// S8
+const auto CastS8toU8Dataset  = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset::make("DataType", DataType::U8));
+const auto CastS8toU16Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset::make("DataType", DataType::U16));
+const auto CastS8toS16Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset::make("DataType", DataType::S16));
+const auto CastS8toU32Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset::make("DataType", DataType::U32));
+const auto CastS8toS32Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset::make("DataType", DataType::S32));
+const auto CastS8toF16Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset::make("DataType", DataType::F16));
+const auto CastS8toF32Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset::make("DataType", DataType::F32));
+
+// U16
+const auto CastU16toU8Dataset  = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U8));
+const auto CastU16toS8Dataset  = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::S8));
+const auto CastU16toS16Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::S16));
+const auto CastU16toU32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U32));
+const auto CastU16toS32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::S32));
+const auto CastU16toF16Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::F16));
+const auto CastU16toF32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::F32));
+
+// S16
+const auto CastS16toU8Dataset  = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U8));
+const auto CastS16toS8Dataset  = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::S8));
+const auto CastS16toU16Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U16));
+const auto CastS16toU32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U32));
+const auto CastS16toS32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::S32));
+const auto CastS16toF16Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::F16));
+const auto CastS16toF32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::F32));
+
+// U32
+const auto CastU32toU8Dataset  = combine(framework::dataset::make("DataType", DataType::U32), framework::dataset::make("DataType", DataType::U8));
+const auto CastU32toS8Dataset  = combine(framework::dataset::make("DataType", DataType::U32), framework::dataset::make("DataType", DataType::S8));
+const auto CastU32toU16Dataset = combine(framework::dataset::make("DataType", DataType::U32), framework::dataset::make("DataType", DataType::U16));
+const auto CastU32toS16Dataset = combine(framework::dataset::make("DataType", DataType::U32), framework::dataset::make("DataType", DataType::S16));
+const auto CastU32toS32Dataset = combine(framework::dataset::make("DataType", DataType::U32), framework::dataset::make("DataType", DataType::S32));
+const auto CastU32toF16Dataset = combine(framework::dataset::make("DataType", DataType::U32), framework::dataset::make("DataType", DataType::F16));
+const auto CastU32toF32Dataset = combine(framework::dataset::make("DataType", DataType::U32), framework::dataset::make("DataType", DataType::F32));
+
+// S32
+const auto CastS32toU8Dataset  = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::U8));
+const auto CastS32toS8Dataset  = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S8));
+const auto CastS32toU16Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::U16));
+const auto CastS32toS16Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S16));
+const auto CastS32toU32Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::U32));
+const auto CastS32toF16Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::F16));
+const auto CastS32toF32Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::F32));
+
+// F16
+const auto CastF16toU8Dataset  = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::U8));
+const auto CastF16toS8Dataset  = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::S8));
+const auto CastF16toU16Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::U16));
+const auto CastF16toS16Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::S16));
+const auto CastF16toU32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::U32));
+const auto CastF16toS32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::S32));
+const auto CastF16toF32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F32));
+
+// F32
+const auto CastF32toU8Dataset  = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::U8));
+const auto CastF32toS8Dataset  = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::S8));
+const auto CastF32toU16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::U16));
+const auto CastF32toS16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::S16));
+const auto CastF32toU32Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::U32));
+const auto CastF32toS32Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::S32));
+const auto CastF32toF16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F16));
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(DYNAMIC_FUSION)
+TEST_SUITE(CAST)
+
+template <typename T>
+using DynamicFusionCLCastToU8Fixture = DynamicFusionCastValidationFixture<CLTensor, CLAccessor, GpuCast, T, uint8_t>;
+template <typename T>
+using DynamicFusionCLCastToS8Fixture = DynamicFusionCastValidationFixture<CLTensor, CLAccessor, GpuCast, T, int8_t>;
+template <typename T>
+using DynamicFusionCLCastToU16Fixture = DynamicFusionCastValidationFixture<CLTensor, CLAccessor, GpuCast, T, uint16_t>;
+template <typename T>
+using DynamicFusionCLCastToS16Fixture = DynamicFusionCastValidationFixture<CLTensor, CLAccessor, GpuCast, T, int16_t>;
+template <typename T>
+using DynamicFusionCLCastToU32Fixture = DynamicFusionCastValidationFixture<CLTensor, CLAccessor, GpuCast, T, uint32_t>;
+template <typename T>
+using DynamicFusionCLCastToS32Fixture = DynamicFusionCastValidationFixture<CLTensor, CLAccessor, GpuCast, T, int32_t>;
+template <typename T>
+using DynamicFusionCLCastToF16Fixture = DynamicFusionCastValidationFixture<CLTensor, CLAccessor, GpuCast, T, half>;
+template <typename T>
+using DynamicFusionCLCastToF32Fixture = DynamicFusionCastValidationFixture<CLTensor, CLAccessor, GpuCast, T, float>;
+
+#define CAST_SUITE(NAME, idt, odt, type, dataset, tolerance)                                                                     \
+    TEST_SUITE(NAME)                                                                                                             \
+    FIXTURE_DATA_TEST_CASE(RunSmall, type, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), dataset), \
+                                                                                      datasets::ConvertPolicies()))              \
+    {                                                                                                                            \
+        validate(CLAccessor(_target), _reference, tolerance);                                                                    \
+    }                                                                                                                            \
+    TEST_SUITE_END()
+
+// QASYMM8
+CAST_SUITE(QASYMM8_to_F32, DataType::QASYMM8, DataType::F32, DynamicFusionCLCastToF32Fixture<uint8_t>, CastQASYMM8toF32Dataset, zero_tolerance)
+
+// U8
+CAST_SUITE(U8_to_S8, DataType::U8, DataType::S8, DynamicFusionCLCastToS8Fixture<uint8_t>, CastU8toS8Dataset, zero_tolerance)
+CAST_SUITE(U8_to_U16, DataType::U8, DataType::U16, DynamicFusionCLCastToU16Fixture<uint8_t>, CastU8toU16Dataset, zero_tolerance)
+CAST_SUITE(U8_to_S16, DataType::U8, DataType::S16, DynamicFusionCLCastToS16Fixture<uint8_t>, CastU8toS16Dataset, zero_tolerance)
+CAST_SUITE(U8_to_U32, DataType::U8, DataType::U32, DynamicFusionCLCastToU32Fixture<uint8_t>, CastU8toU32Dataset, zero_tolerance)
+CAST_SUITE(U8_to_S32, DataType::U8, DataType::S32, DynamicFusionCLCastToS32Fixture<uint8_t>, CastU8toS32Dataset, zero_tolerance)
+CAST_SUITE(U8_to_F16, DataType::U8, DataType::F16, DynamicFusionCLCastToF16Fixture<uint8_t>, CastU8toF16Dataset, zero_tolerance)
+CAST_SUITE(U8_to_F32, DataType::U8, DataType::F32, DynamicFusionCLCastToF32Fixture<uint8_t>, CastU8toF32Dataset, zero_tolerance)
+
+// S8
+CAST_SUITE(S8_to_U8, DataType::S8, DataType::U8, DynamicFusionCLCastToU8Fixture<int8_t>, CastS8toU8Dataset, zero_tolerance)
+CAST_SUITE(S8_to_U16, DataType::S8, DataType::U16, DynamicFusionCLCastToU16Fixture<int8_t>, CastS8toU16Dataset, zero_tolerance)
+CAST_SUITE(S8_to_S16, DataType::S8, DataType::S16, DynamicFusionCLCastToS16Fixture<int8_t>, CastS8toS16Dataset, zero_tolerance)
+CAST_SUITE(S8_to_U32, DataType::S8, DataType::U32, DynamicFusionCLCastToU32Fixture<int8_t>, CastS8toU32Dataset, zero_tolerance)
+CAST_SUITE(S8_to_S32, DataType::S8, DataType::S32, DynamicFusionCLCastToS32Fixture<int8_t>, CastS8toS32Dataset, zero_tolerance)
+CAST_SUITE(S8_to_F16, DataType::S8, DataType::F16, DynamicFusionCLCastToF16Fixture<int8_t>, CastS8toF16Dataset, zero_tolerance)
+CAST_SUITE(S8_to_F32, DataType::S8, DataType::F32, DynamicFusionCLCastToF32Fixture<int8_t>, CastS8toF32Dataset, zero_tolerance)
+
+// U16
+CAST_SUITE(U16_to_U8, DataType::U16, DataType::U8, DynamicFusionCLCastToU8Fixture<uint16_t>, CastU16toU8Dataset, zero_tolerance)
+CAST_SUITE(U16_to_S8, DataType::U16, DataType::S8, DynamicFusionCLCastToS8Fixture<uint16_t>, CastU16toS8Dataset, zero_tolerance)
+CAST_SUITE(U16_to_S16, DataType::U16, DataType::S16, DynamicFusionCLCastToS16Fixture<uint16_t>, CastU16toS16Dataset, zero_tolerance)
+CAST_SUITE(U16_to_U32, DataType::U16, DataType::U32, DynamicFusionCLCastToU32Fixture<uint16_t>, CastU16toU32Dataset, zero_tolerance)
+CAST_SUITE(U16_to_S32, DataType::U16, DataType::S32, DynamicFusionCLCastToS32Fixture<uint16_t>, CastU16toS32Dataset, zero_tolerance)
+CAST_SUITE(U16_to_F16, DataType::U16, DataType::F16, DynamicFusionCLCastToF16Fixture<uint16_t>, CastU16toF16Dataset, zero_tolerance)
+CAST_SUITE(U16_to_F32, DataType::U16, DataType::F32, DynamicFusionCLCastToF32Fixture<uint16_t>, CastU16toF32Dataset, zero_tolerance)
+
+// S16
+CAST_SUITE(S16_to_U8, DataType::S16, DataType::U8, DynamicFusionCLCastToU8Fixture<int16_t>, CastS16toU8Dataset, zero_tolerance)
+CAST_SUITE(S16_to_S8, DataType::S16, DataType::S8, DynamicFusionCLCastToS8Fixture<int16_t>, CastS16toS8Dataset, zero_tolerance)
+CAST_SUITE(S16_to_U16, DataType::S16, DataType::U16, DynamicFusionCLCastToU16Fixture<int16_t>, CastS16toU16Dataset, zero_tolerance)
+CAST_SUITE(S16_to_U32, DataType::S16, DataType::U32, DynamicFusionCLCastToU32Fixture<int16_t>, CastS16toU32Dataset, zero_tolerance)
+CAST_SUITE(S16_to_S32, DataType::S16, DataType::S32, DynamicFusionCLCastToS32Fixture<int16_t>, CastS16toS32Dataset, zero_tolerance)
+CAST_SUITE(S16_to_F16, DataType::S16, DataType::F16, DynamicFusionCLCastToF16Fixture<int16_t>, CastS16toF16Dataset, zero_tolerance)
+CAST_SUITE(S16_to_F32, DataType::S16, DataType::F32, DynamicFusionCLCastToF32Fixture<int16_t>, CastS16toF32Dataset, zero_tolerance)
+
+// U32
+CAST_SUITE(U32_to_U8, DataType::U32, DataType::U8, DynamicFusionCLCastToU8Fixture<uint32_t>, CastU32toU8Dataset, zero_tolerance)
+CAST_SUITE(U32_to_S8, DataType::U32, DataType::S8, DynamicFusionCLCastToS8Fixture<uint32_t>, CastU32toS8Dataset, zero_tolerance)
+CAST_SUITE(U32_to_U16, DataType::U32, DataType::U16, DynamicFusionCLCastToU16Fixture<uint32_t>, CastU32toU16Dataset, zero_tolerance)
+CAST_SUITE(U32_to_S16, DataType::U32, DataType::S16, DynamicFusionCLCastToS16Fixture<uint32_t>, CastU32toS16Dataset, zero_tolerance)
+CAST_SUITE(U32_to_S32, DataType::U32, DataType::S32, DynamicFusionCLCastToS32Fixture<uint32_t>, CastU32toS32Dataset, zero_tolerance)
+CAST_SUITE(U32_to_F16, DataType::U32, DataType::F16, DynamicFusionCLCastToF16Fixture<uint32_t>, CastU32toF16Dataset, zero_tolerance)
+CAST_SUITE(U32_to_F32, DataType::U32, DataType::F32, DynamicFusionCLCastToF32Fixture<uint32_t>, CastU32toF32Dataset, zero_tolerance)
+
+// S32
+CAST_SUITE(S32_to_U8, DataType::S32, DataType::U8, DynamicFusionCLCastToU8Fixture<int32_t>, CastS32toU8Dataset, zero_tolerance)
+CAST_SUITE(S32_to_S8, DataType::S32, DataType::S8, DynamicFusionCLCastToS8Fixture<int32_t>, CastS32toS8Dataset, zero_tolerance)
+CAST_SUITE(S32_to_U16, DataType::S32, DataType::U16, DynamicFusionCLCastToU16Fixture<int32_t>, CastS32toU16Dataset, zero_tolerance)
+CAST_SUITE(S32_to_S16, DataType::S32, DataType::S16, DynamicFusionCLCastToS16Fixture<int32_t>, CastS32toS16Dataset, zero_tolerance)
+CAST_SUITE(S32_to_U32, DataType::S32, DataType::U32, DynamicFusionCLCastToU32Fixture<int32_t>, CastS32toU32Dataset, zero_tolerance)
+CAST_SUITE(S32_to_F16, DataType::S32, DataType::F16, DynamicFusionCLCastToF16Fixture<int32_t>, CastS32toF16Dataset, zero_tolerance)
+CAST_SUITE(S32_to_F32, DataType::S32, DataType::F32, DynamicFusionCLCastToF32Fixture<int32_t>, CastS32toF32Dataset, zero_tolerance)
+
+// F16
+CAST_SUITE(F16_to_U8, DataType::F16, DataType::U8, DynamicFusionCLCastToU8Fixture<half>, CastF16toU8Dataset, one_tolerance)
+CAST_SUITE(F16_to_S8, DataType::F16, DataType::S8, DynamicFusionCLCastToS8Fixture<half>, CastF16toS8Dataset, one_tolerance)
+CAST_SUITE(F16_to_U16, DataType::F16, DataType::U16, DynamicFusionCLCastToU16Fixture<half>, CastF16toU16Dataset, one_tolerance)
+CAST_SUITE(F16_to_S16, DataType::F16, DataType::S16, DynamicFusionCLCastToS16Fixture<half>, CastF16toS16Dataset, one_tolerance)
+CAST_SUITE(F16_to_U32, DataType::F16, DataType::U32, DynamicFusionCLCastToU32Fixture<half>, CastF16toU32Dataset, one_tolerance)
+CAST_SUITE(F16_to_S32, DataType::F16, DataType::S32, DynamicFusionCLCastToS32Fixture<half>, CastF16toS32Dataset, one_tolerance)
+CAST_SUITE(F16_to_F32, DataType::F16, DataType::F32, DynamicFusionCLCastToF32Fixture<half>, CastF16toF32Dataset, zero_tolerance)
+
+// F32
+CAST_SUITE(F32_to_U8, DataType::F32, DataType::U8, DynamicFusionCLCastToU8Fixture<float>, CastF32toU8Dataset, one_tolerance)
+CAST_SUITE(F32_to_S8, DataType::F32, DataType::S8, DynamicFusionCLCastToS8Fixture<float>, CastF32toS8Dataset, one_tolerance)
+CAST_SUITE(F32_to_U16, DataType::F32, DataType::U16, DynamicFusionCLCastToU16Fixture<float>, CastF32toU16Dataset, one_tolerance)
+CAST_SUITE(F32_to_S16, DataType::F32, DataType::S16, DynamicFusionCLCastToS16Fixture<float>, CastF32toS16Dataset, one_tolerance)
+CAST_SUITE(F32_to_U32, DataType::F32, DataType::U32, DynamicFusionCLCastToU32Fixture<float>, CastF32toU32Dataset, one_tolerance)
+CAST_SUITE(F32_to_S32, DataType::F32, DataType::S32, DynamicFusionCLCastToS32Fixture<float>, CastF32toS32Dataset, one_tolerance)
+CAST_SUITE(F32_to_F16, DataType::F32, DataType::F16, DynamicFusionCLCastToF16Fixture<float>, CastF32toF16Dataset, zero_tolerance)
+
+TEST_SUITE_END() // CAST
+TEST_SUITE_END() // DYNAMIC_FUSION
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h
new file mode 100644
index 0000000000..8553472fb9
--- /dev/null
+++ b/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h
@@ -0,0 +1,175 @@
+/*
+ * Copyright (c) 2022 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.
+ */
+#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_CASTFIXTURE
+#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_CASTFIXTURE
+
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h"
+#include "arm_compute/dynamic_fusion/sketch/attributes/CastAttributes.h"
+#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h"
+
+#include "tests/framework/Fixture.h"
+#include "tests/validation/reference/DepthConvertLayer.h"
+
+using namespace arm_compute::experimental::dynamic_fusion;
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
+class DynamicFusionCastValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy)
+    {
+        _target    = compute_target(shape, dt_in, dt_out, policy);
+        _reference = compute_reference(shape, dt_in, dt_out, policy);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i, DataType dt_in, DataType dt_out)
+    {
+        // Restricting range to avoid inf values
+        if(dt_out == DataType::F16)
+        {
+            constexpr int signed_min   = -32000;
+            constexpr int signed_max   = 32000;
+            constexpr int unsigned_min = 0;
+            constexpr int unsigned_max = 65000;
+
+            switch(dt_in)
+            {
+                case DataType::U8:
+                case DataType::QASYMM8:
+                case DataType::QASYMM8_SIGNED:
+                case DataType::S8:
+                case DataType::F32:
+                {
+                    library->fill_tensor_uniform(tensor, i);
+                    break;
+                }
+                case DataType::U16:
+                {
+                    library->fill_tensor_uniform(tensor, i, static_cast<uint16_t>(unsigned_min), static_cast<uint16_t>(unsigned_max));
+                    break;
+                }
+                case DataType::S16:
+                {
+                    library->fill_tensor_uniform(tensor, i, static_cast<int16_t>(signed_min), static_cast<int16_t>(signed_max));
+                    break;
+                }
+                case DataType::U32:
+                {
+                    library->fill_tensor_uniform(tensor, i, static_cast<uint32_t>(unsigned_min), static_cast<uint32_t>(unsigned_max));
+                    break;
+                }
+                case DataType::S32:
+                {
+                    library->fill_tensor_uniform(tensor, i, static_cast<int32_t>(signed_min), static_cast<int32_t>(signed_max));
+                    break;
+                }
+                default:
+                    ARM_COMPUTE_ERROR("NOT SUPPORTED!");
+            }
+        }
+        else
+        {
+            library->fill_tensor_uniform(tensor, i);
+        }
+    }
+
+    // Given input is in nchw format
+    TensorType compute_target(const TensorShape &shape, const DataType dt_in, const DataType dt_out, const ConvertPolicy policy)
+    {
+        // 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 };
+
+        // Create sketch tensors
+        TensorInfo src_info = sketch.create_tensor_info(TensorInfo(shape, 1, dt_in, DataLayout::NCHW)); // layout is not important
+        TensorInfo dst_info = sketch.create_tensor_info();
+
+        CastAttributes attributes;
+        attributes.convert_policy(policy).data_type(dt_out);
+
+        FunctionType::create_op(sketch, &src_info, &dst_info, attributes);
+
+        // Configure runtime
+        ClWorkloadRuntime runtime;
+        runtime.configure(sketch);
+
+        // (Important) Allocate auxiliary tensor memory if there are any
+        for(auto &data : runtime.get_auxiliary_tensors())
+        {
+            auto       tensor      = data.first;
+            const auto aux_mem_req = data.second;
+            tensor->allocator()->init(*data.first->info(), aux_mem_req.alignment);
+            tensor->allocator()->allocate();
+        }
+
+        // Construct user tensors
+        TensorType t_src{};
+        TensorType t_dst{};
+
+        // Initialize user tensors
+        t_src.allocator()->init(src_info);
+        t_dst.allocator()->init(dst_info);
+
+        // Allocate and fill user tensors
+        t_src.allocator()->allocate();
+        t_dst.allocator()->allocate();
+
+        fill(AccessorType(t_src), 0, dt_in, dt_out);
+
+        // Run runtime
+        runtime.run({ &t_src, &t_dst });
+        return t_dst;
+    }
+
+    SimpleTensor<T2> compute_reference(const TensorShape &shape, const DataType dt_in, const DataType dt_out, const ConvertPolicy policy)
+    {
+        // Create reference
+        SimpleTensor<T1> src{ shape, dt_in, 1 };
+
+        // Fill reference
+        fill(src, 0, dt_in, dt_out);
+
+        return reference::depth_convert<T1, T2>(src, dt_out, policy, 0);
+    }
+
+    TensorType       _target{};
+    SimpleTensor<T2> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_CASTFIXTURE */