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authorAnthony Barbier <anthony.barbier@arm.com>2017-09-04 18:44:23 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 13:03:09 +0100
commit6ff3b19ee6120edf015fad8caab2991faa3070af (patch)
treea7a6dcd16dfd56d79fa1b56a313caeebcc939b68 /arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
downloadComputeLibrary-6ff3b19ee6120edf015fad8caab2991faa3070af.tar.gz
COMPMID-344 Updated doxygen
Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
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+/*
+ * Copyright (c) 2017 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_NESOFTMAXLAYERKERNEL_H__
+#define __ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H__
+
+#include "arm_compute/core/NEON/INEKernel.h"
+#include "arm_compute/core/NEON/INESimpleKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Interface for the identifying the max value of 1D Logits */
+class NELogits1DMaxKernel : public INESimpleKernel
+{
+public:
+ /** Default constructor */
+ NELogits1DMaxKernel();
+ /** Set the input and output tensors.
+ *
+ * @param[in] input Source tensor. Data types supported: QS8, F32.
+ * @param[out] output Destination tensor. Data types supported: same as @p input
+ */
+ void configure(const ITensor *input, ITensor *output);
+
+ // Inherited methods overridden:
+ void run(const Window &window) override;
+ BorderSize border_size() const override;
+
+private:
+ using Logits1DMaxFunction = void(const ITensor *in, ITensor *out, const Window &window);
+
+private:
+ Logits1DMaxFunction *_func;
+ BorderSize _border_size;
+};
+
+/** Interface for shifting the logits values around the max value and exponentiating the result */
+class NELogits1DShiftExpSumKernel : public INEKernel
+{
+public:
+ /** Default constructor */
+ NELogits1DShiftExpSumKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NELogits1DShiftExpSumKernel(const NELogits1DShiftExpSumKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NELogits1DShiftExpSumKernel &operator=(const NELogits1DShiftExpSumKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ NELogits1DShiftExpSumKernel(NELogits1DShiftExpSumKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ NELogits1DShiftExpSumKernel &operator=(NELogits1DShiftExpSumKernel &&) = default;
+ /** Default destructor */
+ ~NELogits1DShiftExpSumKernel() = default;
+ /** Set the input and output tensors.
+ *
+ * @param[in] input Source tensor. Data types supported: QS8, F32.
+ * @param[in] max Max values tensor. Data types supported: same as @p input.
+ * @param[out] output Destination tensor. Data types supported: same as @p input.
+ * @param[out] sum Sum of 1D logits tensor. Data types supported: same as @p input.
+ */
+ void configure(const ITensor *input, const ITensor *max, ITensor *output, ITensor *sum);
+
+ // Inherited methods overridden:
+ void run(const Window &window) override;
+
+private:
+ using Logits1DShiftExpSumFunction = void(const ITensor *in, const ITensor *max, ITensor *out, ITensor *sum, const Window &window);
+
+private:
+ Logits1DShiftExpSumFunction *_func;
+ const ITensor *_input;
+ const ITensor *_max;
+ ITensor *_output;
+ ITensor *_sum;
+};
+
+/** Interface for calculating the final step of the Softmax Layer where each logit value is multiplied by the inverse of the sum of the logits. */
+class NELogits1DNormKernel : public INEKernel
+{
+public:
+ /** Default constructor */
+ NELogits1DNormKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NELogits1DNormKernel(const NELogits1DNormKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NELogits1DNormKernel &operator=(const NELogits1DNormKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ NELogits1DNormKernel(NELogits1DNormKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ NELogits1DNormKernel &operator=(NELogits1DNormKernel &&) = default;
+ /** Default destructor */
+ ~NELogits1DNormKernel() = default;
+ /** Set the input and output tensors.
+ *
+ * @param[in] input Source tensor. Data types supported: QS8, F32.
+ * @param[in] sum Sum tensor. The number of dimensions should be dim(input)-1. Data types supported: same as @p input.
+ * @param[out] output Destination tensor. Data types supported: same as @p input.
+ */
+ void configure(const ITensor *input, const ITensor *sum, ITensor *output);
+
+ // Inherited methods overridden:
+ void run(const Window &window) override;
+
+private:
+ using Logits1DNormFunction = void(const ITensor *in, const ITensor *sum, ITensor *out, const Window &window);
+
+private:
+ Logits1DNormFunction *_func;
+ const ITensor *_input;
+ const ITensor *_sum;
+ ITensor *_output;
+};
+}
+#endif /*__ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H__ */