Create ClPRelu operator
Make the class that was in experimental namespace
as ClOperator to prepare porting to new interface.
The followings are added as a part of this change
Also, in-place computation is now correctly considered
to be aligned with the class description. Test cases
to test in-place computation are added.
Partially Implements: COMPMID-4184
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Change-Id: I71c18ab47fe0370a2060d5303a58ff3650c0093f
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5201
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
diff --git a/tests/validation/CL/PReluLayer.cpp b/tests/validation/CL/PReluLayer.cpp
index 82436a9..82f3e4f 100644
--- a/tests/validation/CL/PReluLayer.cpp
+++ b/tests/validation/CL/PReluLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -93,6 +93,63 @@
// clang-format on
// *INDENT-ON*
+TEST_SUITE(InPlace)
+TEST_CASE(Validate, framework::DatasetMode::ALL)
+{
+ // PRelu operaotr should be able to take nullptr as output and do the in-place computation.
+ // Shape and data type are selected randomly since they shouldn't matter
+ const auto tensor_info = TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32);
+ const auto result = arm_compute::CLPReluLayer::validate(&tensor_info, &tensor_info, nullptr);
+ ARM_COMPUTE_EXPECT(bool(result) == true, framework::LogLevel::ERRORS);
+}
+
+SimpleTensor<float> compute_float_reference(const TensorInfo &tensor_info)
+{
+ SimpleTensor<float> ref_src1{ tensor_info.tensor_shape(), tensor_info.data_type() };
+ SimpleTensor<float> ref_src2{ tensor_info.tensor_shape(), tensor_info.data_type() };
+ SimpleTensor<float> ref_dst{ tensor_info.tensor_shape(), tensor_info.data_type() };
+
+ library->fill_tensor_uniform(ref_src1, 0);
+ library->fill_tensor_uniform(ref_src2, 1);
+
+ return reference::arithmetic_operation<float>(ArithmeticOperation::PRELU, ref_src1, ref_src2, ref_dst);
+}
+
+void compute_float_target_in_place(CLTensor &src1, CLTensor &src2, bool use_nullptr_output)
+{
+ auto fn = arm_compute::CLPReluLayer{};
+ fn.configure(&src1, &src2, use_nullptr_output ? nullptr : &src1);
+
+ src1.allocator()->allocate();
+ src2.allocator()->allocate();
+
+ library->fill_tensor_uniform(CLAccessor(src1), 0);
+ library->fill_tensor_uniform(CLAccessor(src2), 1);
+
+ fn.run();
+}
+
+TEST_CASE(ComputeWithNullPtr, framework::DatasetMode::ALL)
+{
+ const auto tensor_info = TensorInfo(TensorShape(33U, 13U, 2U), 1, DataType::F32);
+
+ auto src1 = create_tensor<CLTensor>(tensor_info);
+ auto src2 = create_tensor<CLTensor>(tensor_info);
+ compute_float_target_in_place(src1, src2, true);
+ validate(CLAccessor(src1), compute_float_reference(tensor_info));
+}
+
+TEST_CASE(ComputeWithSameTensor, framework::DatasetMode::ALL)
+{
+ const auto tensor_info = TensorInfo(TensorShape(33U, 13U, 2U), 1, DataType::F32);
+
+ auto src1 = create_tensor<CLTensor>(tensor_info);
+ auto src2 = create_tensor<CLTensor>(tensor_info);
+ compute_float_target_in_place(src1, src2, false);
+ validate(CLAccessor(src1), compute_float_reference(tensor_info));
+}
+TEST_SUITE_END() // InPlace
+
template <typename T>
using CLPReluLayerFixture = PReluLayerValidationFixture<CLTensor, CLAccessor, CLPReluLayer, T>;