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authorJakub Sujak <jakub.sujak@arm.com>2022-11-25 16:43:18 +0000
committerJakub Sujak <jakub.sujak@arm.com>2022-12-13 09:58:36 +0000
commit32741725ac6e6c9658c51ed8585d314a1707ee8c (patch)
treea32c508ade253975a892387f7d5eba5e3f02e650 /tests/validation/dynamic_fusion
parent5945070e4d73962f6d1e0b9eff2ab7488ee5c787 (diff)
downloadComputeLibrary-32741725ac6e6c9658c51ed8585d314a1707ee8c.tar.gz
Add CLAMP operator to Dynamic Fusion interface
Add the CLAMP activation function for GPU backend with generic activation Component and TemplateWriter modules. CLAMP is internally implemented as LU_BOUNDED_RELU activation function with the alpha and beta variables swapped. We do NOT consider in-place computation cases in this patch. * CLAMP operator for GPU backend. * Activation Component and TemplateWriter for CL backend. * TemplateWriter generates tiled kernel code. * Supported data types: F16, F32. * Validation tests for CLAMP operation. Resolves: COMPMID-5519 Change-Id: Ieb097d6b1e6a7ed2b882518e88314454efb402f6 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8762 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/dynamic_fusion')
-rw-r--r--tests/validation/dynamic_fusion/gpu/cl/Clamp.cpp189
1 files changed, 189 insertions, 0 deletions
diff --git a/tests/validation/dynamic_fusion/gpu/cl/Clamp.cpp b/tests/validation/dynamic_fusion/gpu/cl/Clamp.cpp
new file mode 100644
index 0000000000..947201ff97
--- /dev/null
+++ b/tests/validation/dynamic_fusion/gpu/cl/Clamp.cpp
@@ -0,0 +1,189 @@
+/*
+ * 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/attributes/ClampAttributes.h"
+#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuClamp.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+
+#include "tests/CL/CLAccessor.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/dynamic_fusion/operators/ClampFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr float epsilon = 1e-6f;
+constexpr AbsoluteTolerance<float> tolerance(epsilon);
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(DYNAMIC_FUSION)
+TEST_SUITE(CLAMP)
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Minimum value larger than maximum value
+ }),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
+ })),
+ framework::dataset::make("MinVal", { 0.2f,
+ 1.5f,
+ 0.1f,
+ 3.0f,
+ 9.0f,
+ })),
+ framework::dataset::make("MaxVal", { 0.5f,
+ 2.0f,
+ 1.0f,
+ 4.0f,
+ 1.0f,
+ })),
+ framework::dataset::make("Expected", { true, true, false, false, false })),
+ input_info, output_info, min_val, max_val, expected)
+{
+ // Create a new workload sketch
+ CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
+ GpuWorkloadContext gpu_ctx{ &cl_compile_ctx };
+ GpuWorkloadSketch sketch{ &gpu_ctx };
+
+ // Fuse Clamp
+ const TensorInfo src_info = sketch.create_tensor_info(input_info);
+ const TensorInfo dst_info = sketch.create_tensor_info(output_info);
+
+ ClampAttributes attributes {};
+ attributes.min_val(min_val)
+ .max_val(max_val);
+
+ const bool res = static_cast<bool>(GpuClamp::validate_op(sketch, &src_info, &dst_info, attributes));
+ ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using DynamicFusionClampOpFixture = DynamicFusionClampValidationFixture<CLTensor, CLAccessor, GpuClamp, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmallOneOp,
+ DynamicFusionClampOpFixture<half>,
+ framework::DatasetMode::ALL,
+ combine(combine(combine(datasets::SmallShapes(),
+ framework::dataset::make("ClampAttributes", { ClampAttributes().min_val(0.1f).max_val(0.6f) })),
+ framework::dataset::make("Fuse", { false })),
+ framework::dataset::make("DataType", DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall5dOneOp,
+ DynamicFusionClampOpFixture<half>,
+ framework::DatasetMode::ALL,
+ combine(combine(combine(datasets::Small5dShapes(),
+ framework::dataset::make("ClampAttributes", { ClampAttributes().min_val(0.1f).max_val(0.6f) })),
+ framework::dataset::make("Fuse", { false })),
+ framework::dataset::make("DataType", DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmallTwoOps,
+ DynamicFusionClampOpFixture<half>,
+ framework::DatasetMode::ALL,
+ combine(combine(combine(datasets::SmallShapes(),
+ framework::dataset::make("ClampAttributes", { ClampAttributes().min_val(0.2f).max_val(0.4f) })),
+ framework::dataset::make("Fuse", { true })),
+ framework::dataset::make("DataType", DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance);
+}
+
+TEST_SUITE_END() // FP16
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmallOneOp,
+ DynamicFusionClampOpFixture<float>,
+ framework::DatasetMode::ALL,
+ combine(combine(combine(datasets::SmallShapes(),
+ framework::dataset::make("ClampAttributes", { ClampAttributes().min_val(0.3f).max_val(0.7f) })),
+ framework::dataset::make("Fuse", { false })),
+ framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall5dOneOp,
+ DynamicFusionClampOpFixture<float>,
+ framework::DatasetMode::ALL,
+ combine(combine(combine(datasets::Small5dShapes(),
+ framework::dataset::make("ClampAttributes", { ClampAttributes().min_val(0.3f).max_val(0.7f) })),
+ framework::dataset::make("Fuse", { false })),
+ framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmallTwoOps,
+ DynamicFusionClampOpFixture<float>,
+ framework::DatasetMode::ALL,
+ combine(combine(combine(datasets::SmallShapes(),
+ framework::dataset::make("ClampAttributes", { ClampAttributes().min_val(0.1f).max_val(0.9f) })),
+ framework::dataset::make("Fuse", { true })),
+ framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance);
+}
+
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // CLAMP
+TEST_SUITE_END() // DYNAMIC_FUSION
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute