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+/*
+ * Copyright (c) 2021-2024 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 ACL_SRC_CPU_OPERATORS_CPUSOFTMAX_H
+#define ACL_SRC_CPU_OPERATORS_CPUSOFTMAX_H
+
+#include "arm_compute/core/experimental/Types.h"
+#include "arm_compute/core/TensorInfo.h"
+
+#include "src/cpu/ICpuKernel.h"
+#include "src/cpu/ICpuOperator.h"
+#include "src/cpu/operators/CpuPermute.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+namespace cpu
+{
+class CpuSoftmaxKernel;
+
+/** Basic function to compute a SoftmaxLayer and a Log SoftmaxLayer.
+ *
+ * Softmax is calculated by :
+ * @f[ out = exp((x - max(x)) * beta) / sum(exp((x - max(x)) * beta)) @f]
+ *
+ * Log Softmax is calculated by :
+ * @f[ out = (x - max(x) * beta) - log(\sum{e^{x - max(x) * beta}}) @f]
+ *
+ * This function runs the following function/kernels:
+ * -# If axis is not 0:
+ * -# @ref CpuPermute
+ * -# @ref kernels::CpuSoftmaxKernel
+ */
+class CpuSoftmaxGeneric : public ICpuOperator
+{
+public:
+ CpuSoftmaxGeneric();
+ /** Set the input and output tensors.
+ *
+ * @param[in,out] src Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * last value of each row to the nearest multiple.
+ * @param[out] dst Destination tensor ifo. Data types supported: same as @p input.
+ * @param[in] beta (Optional) A scaling factor for the exponent.
+ * @param[in] axis (Optional) The dimension in which to apply the function. E.g. for input of shape 4x5x6 and
+ * axis=1, softmax will be applied to 4x6=24 vectors of size 5. Defaults to 0
+ * @param[in] is_log True if the operation is log-softmax
+ */
+ void configure(const ITensorInfo *src, ITensorInfo *dst, float beta = 1.0f, int32_t axis = 0, bool is_log = false);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref CpuSoftmaxGeneric::configure()
+ *
+ * @return a status
+ */
+ static Status
+ validate(const ITensorInfo *src, const ITensorInfo *dst, float beta = 1.0f, int32_t axis = 0, bool is_log = false);
+
+ // Inherited methods overridden:
+ void run(ITensorPack &tensors) override;
+ experimental::MemoryRequirements workspace() const override;
+
+private:
+ enum InternalTensorIdx
+ {
+ TMP = 0,
+ PERMUTED_SRC,
+ PERMUTED_DST,
+ COUNT
+ };
+
+ std::unique_ptr<ICPPKernel> _softmax_kernel;
+
+ TensorInfo _tmp;
+
+ experimental::MemoryRequirements _aux_mem{};
+
+ unsigned int _axis = 0;
+};
+
+} // namespace cpu
+} // namespace arm_compute
+#endif // ACL_SRC_CPU_OPERATORS_CPUSOFTMAX_H