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>

1 files changed, 90 insertions, 0 deletions

diff --git a/src/core/NEON/kernels/NEMinMaxLayerKernel.h b/src/core/NEON/kernels/NEMinMaxLayerKernel.h
new file mode 100644
index 0000000000..b4852ad9f2
--- /dev/null
+++ b/src/core/NEON/kernels/NEMinMaxLayerKernel.h
@@ -0,0 +1,90 @@
+/*
+ * Copyright (c) 2017-2020 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_NEMINMAXLAYERKERNEL_H
+#define ARM_COMPUTE_NEMINMAXLAYERKERNEL_H
+
+#include "src/core/NEON/INEKernel.h"
+#include "support/Mutex.h"
+
+#include <cstdint>
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Interface for the kernel to perform min max search on a 3D tensor. */
+class NEMinMaxLayerKernel : public INEKernel
+{
+public:
+    const char *name() const override
+    {
+        return "NEMinMaxLayerKernel";
+    }
+    /** Default constructor */
+    NEMinMaxLayerKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEMinMaxLayerKernel(const NEMinMaxLayerKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEMinMaxLayerKernel &operator=(const NEMinMaxLayerKernel &) = delete;
+    /** Prevent instances of this class from being moved (As this class contains non movable objects) */
+    NEMinMaxLayerKernel(NEMinMaxLayerKernel &&) = delete;
+    /** Prevent instances of this class from being moved (As this class contains non movable objects) */
+    NEMinMaxLayerKernel &operator=(NEMinMaxLayerKernel &&) = delete;
+    /** Default destructor */
+    ~NEMinMaxLayerKernel() = default;
+
+    /** Initialise the kernel's input and outputs.
+     *
+     * @note output[0] = minimum
+     * @note output[1] = maximum
+     *
+     * @param[in]  input  Input tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data type supported: F32.
+     * @param[out] output Output tensor with shape [2, batches, ...] which stores the minimum and maximum value for each 3D input tensor.
+     *                    The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32
+     */
+    void configure(const ITensor *input, ITensor *output);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLMinMaxLayerKernel
+     *
+     * @param[in] input  Input tensor info.  Data types supported: F32.
+     * @param[in] output Output tensor info with shape [2, batches, ...] which stores the minimum and maximum values for each 3D input tensor.
+     *                   The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output);
+    /** Resets global minimum and maximum. */
+    void reset();
+
+    // Inherited methods overridden:
+    void run(const Window &window, const ThreadInfo &info) override;
+
+private:
+    void update_min_max(float *out_ptr, float min, float max);
+    const ITensor     *_input;
+    ITensor           *_output;
+    arm_compute::Mutex _mtx;
+};
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_NEMINMAXLAYERKERNEL_H */