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-rw-r--r--src/runtime/NEON/functions/NEStackLayer.cpp87
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diff --git a/src/runtime/NEON/functions/NEStackLayer.cpp b/src/runtime/NEON/functions/NEStackLayer.cpp
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+/*
+ * Copyright (c) 2018-2019 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/NEON/functions/NEStackLayer.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+
+#include "support/ToolchainSupport.h"
+namespace arm_compute
+{
+NEStackLayer::NEStackLayer() // NOLINT
+ : _input(),
+ _stack_kernels(),
+ _num_inputs(0)
+{
+}
+
+void NEStackLayer::configure(const std::vector<ITensor *> &input, int axis, ITensor *output)
+{
+ _num_inputs = input.size();
+ _stack_kernels = arm_compute::support::cpp14::make_unique<NEStackLayerKernel[]>(_num_inputs);
+
+ // Wrap around negative values
+ const unsigned int axis_u = wrap_around(axis, static_cast<int>(input[0]->info()->num_dimensions() + 1));
+
+ for(unsigned int i = 0; i < _num_inputs; i++)
+ {
+ _stack_kernels[i].configure(input[i], axis_u, i, _num_inputs, output);
+ }
+}
+
+Status NEStackLayer::validate(const std::vector<ITensorInfo *> &input, int axis, const ITensorInfo *output)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
+ ARM_COMPUTE_RETURN_ERROR_ON(input.empty());
+
+ // Wrap around negative values
+ const size_t rank = input[0]->num_dimensions();
+ const unsigned int axis_u = wrap_around(axis, static_cast<int>(rank + 1));
+
+ const unsigned int num_inputs = input.size();
+
+ for(unsigned int i = 0; i < num_inputs; i++)
+ {
+ // All the tensors must have the same rank
+ ARM_COMPUTE_RETURN_ERROR_ON(input[i]->num_dimensions() != rank);
+ // Validate Kernel
+ ARM_COMPUTE_RETURN_ON_ERROR(NEStackLayerKernel::validate(input[i], axis_u, i, num_inputs, output));
+ }
+
+ return Status{};
+}
+
+void NEStackLayer::run()
+{
+ for(unsigned i = 0; i < _num_inputs; i++)
+ {
+ NEScheduler::get().schedule(&_stack_kernels[i], Window::DimY);
+ }
+}
+} // namespace arm_compute \ No newline at end of file