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diff --git a/src/core/gpu/cl/kernels/ClSoftmaxKernel.h b/src/core/gpu/cl/kernels/ClSoftmaxKernel.h
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-/*
- * Copyright (c) 2017-2021 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_CLSOFTMAXLAYERKERNEL_H
-#define ARM_COMPUTE_CLSOFTMAXLAYERKERNEL_H
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/KernelDescriptors.h"
-#include "src/core/common/Macros.h"
-#include "src/core/gpu/cl/ClCompileContext.h"
-#include "src/core/gpu/cl/IClKernel.h"
-
-namespace arm_compute
-{
-namespace opencl
-{
-namespace kernels
-{
-/** Interface for max, shifting, exponentiating and summing the logits */
-class ClLogits1DMaxShiftExpSumKernel : public IClKernel
-{
- /**< Grid size (obtained through auto-tuning) */
- static const unsigned int _grid_size;
- /**< Vector size in the serial case (obtained through auto-tuning) */
- static const unsigned int _serial_vector_size;
- /**< Vector size in the parallel case (obtained through auto-tuning, enables the best memory access pattern for Bifrost) .*/
- static const unsigned int _parallel_vector_size;
-
-public:
- /** Info for whether a parallel reduction will be run and the vector size of the execution. */
- using ParallelReductionInfo = std::tuple<bool, unsigned int>;
-
- /** Default constructor */
- ClLogits1DMaxShiftExpSumKernel() = default;
- ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClLogits1DMaxShiftExpSumKernel);
- /** Configure the kernel using the given information about tensors
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] src Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
- * @param[in,out] max Max values tensor. Data types supported: same as @p src
- * @param[out] dst Destination tensor. Data types supported: same as @p src
- * @param[out] sum Sum of 1D logits tensor. Data types supported: same as @p src
- * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo &src, ITensorInfo &max, ITensorInfo &dst, ITensorInfo &sum, const SoftmaxKernelInfo &info);
- /** Static function to check if given info will lead to a valid configuration of @ref ClLogits1DMaxShiftExpSumKernel
- *
- * @param[in] src Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
- * @param[in] max Max values tensor. Data types supported: same as @p src
- * @param[in] dst Destination tensor. Data types supported: same as @p src
- * @param[in] sum Sum of 1D logits tensor. Data types supported: same as @p src
- *
- * @return a status
- */
- static Status validate(const ITensorInfo &src, const ITensorInfo &max, const ITensorInfo &dst, const ITensorInfo &sum);
- /** Checks if the given size is eligible for parallel reduction
- *
- * @note Serial reduction is launched for width < (_grid_size * _serial_vector_size).
- * @note Parallel reduction is launched for width >= (_grid_size * _serial_vector_size) and vector_size is forced to 4.
- *
- * @param[in] size Size to check
- *
- * @return A two-element tuple where the first element is a boolean specifying if a parallel reduction will be run,
- * while the second element is the vector size of the execution.
- */
- static ParallelReductionInfo is_parallel_reduction(size_t size);
-
- // Inherited methods overridden:
- void run_op(ITensorPack &tensors, const Window &window, ::cl::CommandQueue &queue) override;
-};
-
-/** 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 ClLogits1DNormKernel : public IClKernel
-{
-public:
- /** Default constructor */
- ClLogits1DNormKernel() = default;
- ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClLogits1DNormKernel);
-
- /** Set the input and output tensors.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] src Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported.
- * @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input
- * @param[out] dst Destination tensor. Data types supported: QASYMM8/QASYMM8_SIGNED for S32 @p input, or same as @p input
- * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo &src, const ITensorInfo &sum, ITensorInfo &dst, const SoftmaxKernelInfo &info);
- /** Static function to check if given info will lead to a valid configuration of @ref ClLogits1DNormKernel
- *
- * @param[in] src Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported.
- * @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input
- * @param[in] dst Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
- * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo &src, const ITensorInfo &sum, const ITensorInfo &dst, const SoftmaxKernelInfo &info);
-
- // Inherited methods overridden:
- void run_op(ITensorPack &tensors, const Window &window, ::cl::CommandQueue &queue) override;
-};
-} // namespace kernels
-} // namespace opencl
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_CLSOFTMAXLAYERKERNEL_H */