COMPMID-3638: Move NEON kernels
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Change-Id: Ieed3e4bc8be7fef80c90c5094599b477a56fc473
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4285
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/NEON/kernels/NEScaleKernel.h b/src/core/NEON/kernels/NEScaleKernel.h
new file mode 100644
index 0000000..a3786db
--- /dev/null
+++ b/src/core/NEON/kernels/NEScaleKernel.h
@@ -0,0 +1,127 @@
+/*
+ * Copyright (c) 2016-2020 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_NESCALEKERNEL_H
+#define ARM_COMPUTE_NESCALEKERNEL_H
+
+#include "arm_compute/core/KernelDescriptors.h"
+#include "src/core/NEON/INEKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** NEON kernel to perform scaling on a tensor */
+class NEScaleKernel : public INEKernel
+{
+public:
+ const char *name() const override
+ {
+ return "NEScaleKernel";
+ }
+ /** Default constructor */
+ NEScaleKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEScaleKernel(const NEScaleKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEScaleKernel &operator=(const NEScaleKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ NEScaleKernel(NEScaleKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ NEScaleKernel &operator=(NEScaleKernel &&) = default;
+ /** Default destructor */
+ ~NEScaleKernel() = default;
+
+ /** Initialise the kernel's inputs, output and interpolation policy
+ *
+ * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor
+ * @note Using @p policy Area only supports data layout NCHW and input data type U8.
+ *
+ * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32.
+ * @param[in] dx Pixel's distance between the X real coordinate and the smallest X following integer. Data type supported: F32
+ * @param[in] dy Pixel's distance between the Y real coordinate and the smallest Y following integer. Data type supported: F32
+ * @param[in] offsets Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32.
+ * @param[out] output Destination tensor. Data types supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
+ * @param[in] info @ref ScaleKernelInfo to use for configuration
+ */
+ void configure(const ITensor *input, const ITensor *dx, const ITensor *dy, const ITensor *offsets, ITensor *output,
+ const ScaleKernelInfo &info);
+ /** Static function to check if given info will lead to a valid configuration of @ref NEScaleKernel
+ *
+ * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor
+ * @note Using @p policy Area only supports data layout NCHW and input data type U8.
+ *
+ * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32.
+ * @param[in] dx Pixel's distance between the X real coordinate and the smallest X following integer. Data type supported: F32
+ * @param[in] dy Pixel's distance between the Y real coordinate and the smallest Y following integer. Data type supported: F32
+ * @param[in] offsets Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32.
+ * @param[in] output Destination tensor. Data types supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
+ * @param[in] info @ref ScaleKernelInfo to use for validation
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, ITensorInfo *output,
+ const ScaleKernelInfo &info);
+
+ // Inherited methods overridden:
+ void run(const Window &window, const ThreadInfo &info) override;
+
+private:
+ /** function to perform scale using area interpolation on the given window
+ *
+ * @note Used only in case down-sampling.
+ */
+ void scale_area_nchw_u8(const Window &window);
+
+ /** function to perform scale using bilinear interpolation on the given window */
+ template <typename T>
+ void scale_bilinear_nchw(const Window &window);
+ /** function to perform scale using bilinear interpolation on the given window */
+ template <typename T>
+ void scale_bilinear_nhwc(const Window &window);
+ /** function to perform scale using bilinear interpolation on the given window */
+ template <typename T>
+ void scale_bilinear_qasymm(const Window &window);
+
+ /** function to perform scale using nearest neighbour on the given window */
+ template <typename T>
+ void scale_nearest_nchw(const Window &window);
+ /** function to perform scale using nearest neighbour on the given window */
+ template <typename T>
+ void scale_nearest_nhwc(const Window &window);
+
+ /** Scale function to use for the particular function to use */
+ using ScaleFunctionPtr = void (NEScaleKernel::*)(const Window &window);
+
+ ScaleFunctionPtr _func;
+ const ITensor *_offsets;
+ const ITensor *_dx;
+ const ITensor *_dy;
+ const ITensor *_input;
+ ITensor *_output;
+ InterpolationPolicy _policy;
+ BorderMode _border_mode;
+ PixelValue _constant_border_value;
+ float _sampling_offset;
+ bool _align_corners;
+};
+} // namespace arm_compute
+#endif /*ARM_COMPUTE_NESCALEKERNEL_H */