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>
diff --git a/arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h b/arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h
new file mode 100644
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+++ b/arm_compute/core/NEON/kernels/NEYOLOLayerKernel.h
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+/*
+ * 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_NEYOLOLAYERKERNEL_H__
+#define __ARM_COMPUTE_NEYOLOLAYERKERNEL_H__
+
+#include "arm_compute/core/NEON/INEKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Interface for the YOLO layer kernel. */
+class NEYOLOLayerKernel : public INEKernel
+{
+public:
+ const char *name() const override
+ {
+ return "NEYOLOLayerKernel";
+ }
+ /** Constructor */
+ NEYOLOLayerKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEYOLOLayerKernel(const NEYOLOLayerKernel &) = delete;
+ /** Default move constructor */
+ NEYOLOLayerKernel(NEYOLOLayerKernel &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEYOLOLayerKernel &operator=(const NEYOLOLayerKernel &) = delete;
+ /** Default move assignment operator */
+ NEYOLOLayerKernel &operator=(NEYOLOLayerKernel &&) = default;
+ /** Default destructor */
+ ~NEYOLOLayerKernel() = default;
+ /** 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 NEYOLOLayerKernel
+ *
+ * @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);
+
+ // Inherited methods overridden:
+ void run(const Window &window, const ThreadInfo &info) override;
+
+private:
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+ /** Function to run YOLO layer on fp16
+ *
+ * @param[in] window Region on which to execute the kernel.
+ */
+ void yolo_layer_fp16_nchw(const Window &window);
+ /** Function to run batch normalization on fp16 on tensors with NHWC format
+ *
+ * @param[in] window Region on which to execute the kernel.
+ */
+ void yolo_layer_fp16_nhwc(const Window &window);
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+ /** Function to run YOLO layer on fp32
+ *
+ * @param[in] window Region on which to execute the kernel.
+ */
+ void yolo_layer_fp32_nchw(const Window &window);
+ /** Function to run YOLO layer on fp32 on tensors with NHWC format
+ *
+ * @param[in] window Region on which to execute the kernel.
+ */
+ void yolo_layer_fp32_nhwc(const Window &window);
+ /** Common signature for all the yolo layer functions
+ *
+ * @param[in] window Region on which to execute the kernel.
+ */
+ using YOLOFunctionPtr = void (NEYOLOLayerKernel::*)(const Window &window);
+
+private:
+ YOLOFunctionPtr _func;
+ ITensor *_input;
+ ITensor *_output;
+ ActivationLayerInfo _act_info;
+ int32_t _num_classes;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_NEYOLOLAYERKERNEL_H__ */