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authorMichalis Spyrou <michalis.spyrou@arm.com>2018-09-13 12:24:03 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commita6825a427a51da815a805d66ce65c98de282d89b (patch)
treec4a423baf566eba27c761b1402e41b21ab679f23 /arm_compute/runtime/NEON
parent91a73f345be73a1cbbaa15cfaa304f00218968fb (diff)
downloadComputeLibrary-a6825a427a51da815a805d66ce65c98de282d89b.tar.gz
COMPMID-1540 Implement YOLOLayer on NEON
Change-Id: Ice28996959dc666fff5e8ae486c1ff8093db083f Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/148367 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: bsgcomp <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON')
-rw-r--r--arm_compute/runtime/NEON/NEFunctions.h1
-rw-r--r--arm_compute/runtime/NEON/functions/NEYOLOLayer.h64
2 files changed, 65 insertions, 0 deletions
diff --git a/arm_compute/runtime/NEON/NEFunctions.h b/arm_compute/runtime/NEON/NEFunctions.h
index 89a5c4aaaf..d9b7269efc 100644
--- a/arm_compute/runtime/NEON/NEFunctions.h
+++ b/arm_compute/runtime/NEON/NEFunctions.h
@@ -119,5 +119,6 @@
#include "arm_compute/runtime/NEON/functions/NEWarpPerspective.h"
#include "arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h"
#include "arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEYOLOLayer.h"
#endif /* __ARM_COMPUTE_NEFUNCTIONS_H__ */ \ No newline at end of file
diff --git a/arm_compute/runtime/NEON/functions/NEYOLOLayer.h b/arm_compute/runtime/NEON/functions/NEYOLOLayer.h
new file mode 100644
index 0000000000..e09dd42f8f
--- /dev/null
+++ b/arm_compute/runtime/NEON/functions/NEYOLOLayer.h
@@ -0,0 +1,64 @@
+/*
+ * Copyright (c) 2018 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.
+ */
+#ifndef __ARM_COMPUTE_NEYOLOLAYER_H__
+#define __ARM_COMPUTE_NEYOLOLAYER_H__
+
+#include "arm_compute/runtime/NEON/INESimpleFunction.h"
+
+#include "arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Basic function to run @ref NEYOLOLayerKernel */
+class NEYOLOLayer : public INESimpleFunction
+{
+public:
+ /** Set the input and output tensor.
+ *
+ * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
+ *
+ * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
+ * of the activation function. Data types supported: F16/F32.
+ * @param[out] output Destination tensor. Data type supported: same as @p input
+ * @param[in] act_info Activation layer parameters.
+ * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
+ */
+ void configure(ITensor *input, ITensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
+ /** Static function to check if given info will lead to a valid configuration of @ref NEYOLOLayer
+ *
+ * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
+ * of the activation function. Data types supported: F16/F32.
+ * @param[in] output Destination tensor info. Data type supported: same as @p input
+ * @param[in] act_info Activation layer information.
+ * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes);
+};
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_NEYOLOLAYER_H__ */