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Diffstat (limited to 'src/gpu/cl/operators/ClActivation.cpp')
-rw-r--r--src/gpu/cl/operators/ClActivation.cpp88
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diff --git a/src/gpu/cl/operators/ClActivation.cpp b/src/gpu/cl/operators/ClActivation.cpp
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+/*
+ * Copyright (c) 2016-2021 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 "src/gpu/cl/operators/ClActivation.h"
+
+#include "src/common/IOperator.h"
+#include "src/common/utils/LegacySupport.h"
+#include "src/common/utils/Log.h"
+#include "src/gpu/cl/ClCompileContext.h"
+#include "src/gpu/cl/ClContext.h"
+#include "src/gpu/cl/kernels/ClActivationKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+void ClActivation::configure(const ClCompileContext &compile_context,
+ ITensorInfo *src,
+ ITensorInfo *dst,
+ const ActivationLayerInfo &act_info)
+{
+ ARM_COMPUTE_LOG_PARAMS(src, dst, act_info);
+ auto k = std::make_unique<kernels::ClActivationKernel>();
+ k->configure(compile_context, src, dst, act_info);
+ _kernel = std::move(k);
+}
+
+Status ClActivation::validate(const ITensorInfo *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ return kernels::ClActivationKernel::validate(src, dst, act_info);
+}
+} // namespace opencl
+
+namespace gpu
+{
+namespace opencl
+{
+std::tuple<IOperator *, StatusCode> ClContext::create_activation(const AclTensorDescriptor &src,
+ const AclTensorDescriptor &dst,
+ const AclActivationDescriptor &act,
+ bool is_validate)
+{
+ TensorInfo src_info = detail::convert_to_legacy_tensor_info(src);
+ TensorInfo dst_info = detail::convert_to_legacy_tensor_info(dst);
+ auto info = detail::convert_to_activation_info(act);
+
+ if (is_validate && !bool(arm_compute::opencl::ClActivation::validate(&src_info.set_is_resizable(false),
+ &dst_info.set_is_resizable(false), info)))
+ {
+ return std::make_tuple(nullptr, StatusCode::UnsupportedConfig);
+ }
+
+ auto act_op = std::make_unique<arm_compute::opencl::ClActivation>();
+ act_op->configure(CLKernelLibrary::get().get_compile_context(), &src_info, &dst_info, info);
+
+ auto op = new arm_compute::IOperator(static_cast<IContext *>(this));
+ if (op == nullptr)
+ {
+ ARM_COMPUTE_LOG_ERROR_ACL("Couldn't allocate internal resources");
+ return std::make_tuple(nullptr, StatusCode::OutOfMemory);
+ }
+ op->set_internal_operator(std::move(act_op));
+
+ return std::make_tuple(op, StatusCode::Success);
+}
+} // namespace opencl
+} // namespace gpu
+} // namespace arm_compute