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-rw-r--r--src/runtime/CL/functions/CLElementwiseUnaryLayer.cpp315
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diff --git a/src/runtime/CL/functions/CLElementwiseUnaryLayer.cpp b/src/runtime/CL/functions/CLElementwiseUnaryLayer.cpp
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+/*
+ * Copyright (c) 2018-2021 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/runtime/CL/functions/CLElementwiseUnaryLayer.h"
+
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+
+#include "src/core/CL/ICLKernel.h"
+#include "src/gpu/cl/operators/ClElementwiseUnary.h"
+
+namespace arm_compute
+{
+struct CLRsqrtLayer::Impl
+{
+ const ICLTensor *src{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<opencl::ClRsqrt> op{nullptr};
+};
+
+CLRsqrtLayer::CLRsqrtLayer() : _impl(std::make_unique<Impl>())
+{
+}
+
+CLRsqrtLayer::CLRsqrtLayer(CLRsqrtLayer &&) = default;
+CLRsqrtLayer &CLRsqrtLayer::operator=(CLRsqrtLayer &&) = default;
+CLRsqrtLayer::~CLRsqrtLayer() = default;
+
+void CLRsqrtLayer::configure(const ICLTensor *input, ICLTensor *output)
+{
+ configure(CLKernelLibrary::get().get_compile_context(), input, output);
+}
+
+void CLRsqrtLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+{
+ _impl->src = input;
+ _impl->dst = output;
+ _impl->op = std::make_unique<opencl::ClRsqrt>();
+ _impl->op->configure(compile_context, input->info(), output->info());
+}
+
+Status CLRsqrtLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return opencl::ClRsqrt::validate(input, output);
+}
+
+void CLRsqrtLayer::run()
+{
+ ITensorPack pack;
+ pack.add_tensor(TensorType::ACL_SRC, _impl->src);
+ pack.add_tensor(TensorType::ACL_DST, _impl->dst);
+ _impl->op->run(pack);
+}
+
+struct CLExpLayer::Impl
+{
+ const ICLTensor *src{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<opencl::ClExp> op{nullptr};
+};
+
+CLExpLayer::CLExpLayer() : _impl(std::make_unique<Impl>())
+{
+}
+
+CLExpLayer::CLExpLayer(CLExpLayer &&) = default;
+CLExpLayer &CLExpLayer::operator=(CLExpLayer &&) = default;
+CLExpLayer::~CLExpLayer() = default;
+
+void CLExpLayer::configure(const ICLTensor *input, ICLTensor *output)
+{
+ configure(CLKernelLibrary::get().get_compile_context(), input, output);
+}
+
+void CLExpLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+{
+ _impl->src = input;
+ _impl->dst = output;
+ _impl->op = std::make_unique<opencl::ClExp>();
+ _impl->op->configure(compile_context, input->info(), output->info());
+}
+
+Status CLExpLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return opencl::ClExp::validate(input, output);
+}
+
+void CLExpLayer::run()
+{
+ ITensorPack pack;
+ pack.add_tensor(TensorType::ACL_SRC, _impl->src);
+ pack.add_tensor(TensorType::ACL_DST, _impl->dst);
+ _impl->op->run(pack);
+}
+
+struct CLNegLayer::Impl
+{
+ const ICLTensor *src{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<opencl::ClNeg> op{nullptr};
+};
+
+CLNegLayer::CLNegLayer() : _impl(std::make_unique<Impl>())
+{
+}
+
+CLNegLayer::CLNegLayer(CLNegLayer &&) = default;
+CLNegLayer &CLNegLayer::operator=(CLNegLayer &&) = default;
+CLNegLayer::~CLNegLayer() = default;
+
+void CLNegLayer::configure(const ICLTensor *input, ICLTensor *output)
+{
+ configure(CLKernelLibrary::get().get_compile_context(), input, output);
+}
+
+void CLNegLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+{
+ _impl->src = input;
+ _impl->dst = output;
+ _impl->op = std::make_unique<opencl::ClNeg>();
+ _impl->op->configure(compile_context, input->info(), output->info());
+}
+Status CLNegLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return opencl::ClNeg::validate(input, output);
+}
+
+void CLNegLayer::run()
+{
+ ITensorPack pack;
+ pack.add_tensor(TensorType::ACL_SRC, _impl->src);
+ pack.add_tensor(TensorType::ACL_DST, _impl->dst);
+ _impl->op->run(pack);
+}
+
+struct CLSinLayer::Impl
+{
+ const ICLTensor *src{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<opencl::ClSin> op{nullptr};
+};
+
+CLSinLayer::CLSinLayer() : _impl(std::make_unique<Impl>())
+{
+}
+
+CLSinLayer::CLSinLayer(CLSinLayer &&) = default;
+CLSinLayer &CLSinLayer::operator=(CLSinLayer &&) = default;
+CLSinLayer::~CLSinLayer() = default;
+
+void CLSinLayer::configure(const ICLTensor *input, ICLTensor *output)
+{
+ configure(CLKernelLibrary::get().get_compile_context(), input, output);
+}
+
+void CLSinLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+{
+ _impl->src = input;
+ _impl->dst = output;
+ _impl->op = std::make_unique<opencl::ClSin>();
+ _impl->op->configure(compile_context, input->info(), output->info());
+}
+Status CLSinLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return opencl::ClSin::validate(input, output);
+}
+
+void CLSinLayer::run()
+{
+ ITensorPack pack;
+ pack.add_tensor(TensorType::ACL_SRC, _impl->src);
+ pack.add_tensor(TensorType::ACL_DST, _impl->dst);
+ _impl->op->run(pack);
+}
+
+struct CLAbsLayer::Impl
+{
+ const ICLTensor *src{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<opencl::ClAbs> op{nullptr};
+};
+
+CLAbsLayer::CLAbsLayer() : _impl(std::make_unique<Impl>())
+{
+}
+
+CLAbsLayer::CLAbsLayer(CLAbsLayer &&) = default;
+CLAbsLayer &CLAbsLayer::operator=(CLAbsLayer &&) = default;
+CLAbsLayer::~CLAbsLayer() = default;
+
+void CLAbsLayer::configure(const ICLTensor *input, ICLTensor *output)
+{
+ configure(CLKernelLibrary::get().get_compile_context(), input, output);
+}
+
+void CLAbsLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+{
+ _impl->src = input;
+ _impl->dst = output;
+ _impl->op = std::make_unique<opencl::ClAbs>();
+ _impl->op->configure(compile_context, input->info(), output->info());
+}
+Status CLAbsLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return opencl::ClAbs::validate(input, output);
+}
+
+void CLAbsLayer::run()
+{
+ ITensorPack pack;
+ pack.add_tensor(TensorType::ACL_SRC, _impl->src);
+ pack.add_tensor(TensorType::ACL_DST, _impl->dst);
+ _impl->op->run(pack);
+}
+
+struct CLLogLayer::Impl
+{
+ const ICLTensor *src{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<opencl::ClLog> op{nullptr};
+};
+
+CLLogLayer::CLLogLayer() : _impl(std::make_unique<Impl>())
+{
+}
+
+CLLogLayer::CLLogLayer(CLLogLayer &&) = default;
+CLLogLayer &CLLogLayer::operator=(CLLogLayer &&) = default;
+CLLogLayer::~CLLogLayer() = default;
+
+void CLLogLayer::configure(const ICLTensor *input, ICLTensor *output)
+{
+ configure(CLKernelLibrary::get().get_compile_context(), input, output);
+}
+
+void CLLogLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+{
+ _impl->src = input;
+ _impl->dst = output;
+ _impl->op = std::make_unique<opencl::ClLog>();
+ _impl->op->configure(compile_context, input->info(), output->info());
+}
+Status CLLogLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return opencl::ClLog::validate(input, output);
+}
+
+void CLLogLayer::run()
+{
+ ITensorPack pack;
+ pack.add_tensor(TensorType::ACL_SRC, _impl->src);
+ pack.add_tensor(TensorType::ACL_DST, _impl->dst);
+ _impl->op->run(pack);
+}
+
+struct CLRoundLayer::Impl
+{
+ const ICLTensor *src{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<opencl::ClRound> op{nullptr};
+};
+
+CLRoundLayer::CLRoundLayer() : _impl(std::make_unique<Impl>())
+{
+}
+
+CLRoundLayer::CLRoundLayer(CLRoundLayer &&) = default;
+CLRoundLayer &CLRoundLayer::operator=(CLRoundLayer &&) = default;
+CLRoundLayer::~CLRoundLayer() = default;
+
+void CLRoundLayer::configure(const ICLTensor *input, ICLTensor *output)
+{
+ configure(CLKernelLibrary::get().get_compile_context(), input, output);
+}
+
+void CLRoundLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+{
+ _impl->src = input;
+ _impl->dst = output;
+ _impl->op = std::make_unique<opencl::ClRound>();
+ _impl->op->configure(compile_context, input->info(), output->info());
+}
+Status CLRoundLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return opencl::ClRound::validate(input, output);
+}
+
+void CLRoundLayer::run()
+{
+ ITensorPack pack;
+ pack.add_tensor(TensorType::ACL_SRC, _impl->src);
+ pack.add_tensor(TensorType::ACL_DST, _impl->dst);
+ _impl->op->run(pack);
+}
+} // namespace arm_compute