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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 */
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