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-/*
- * Copyright (c) 2019-2021 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_CPU_DEPTHWISECONV2DNATIVEKERNEL_H
-#define ARM_COMPUTE_CPU_DEPTHWISECONV2DNATIVEKERNEL_H
-
-#include "arm_compute/core/utils/misc/Traits.h"
-#include "src/core/common/Macros.h"
-#include "src/core/cpu/ICpuKernel.h"
-#include "support/Requires.h"
-
-#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
-#include <arm_neon.h>
-#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace kernels
-{
-/** Interface for the kernel to run a depthwise convolution native on a tensor. */
-class CpuDepthwiseConv2dNativeKernel : public ICpuKernel
-{
-public:
- const char *name() const override
- {
- return "CpuDepthwiseConv2dNativeKernel";
- }
- /** Default constructor */
- CpuDepthwiseConv2dNativeKernel();
- ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuDepthwiseConv2dNativeKernel);
-
- /** Initialize the function's source, destination and parameters.
- *
- * @note Supported data layouts: NHWC
- *
- * @param[in] src Source tensor. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
- * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [IFM, W, H].
- * Data type supported: Same as @p src or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p src is QASYMM8/QASYMM8_SIGNED.
- * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed.
- * Data type supported: Same as @p src, S32 when src is QASYMM8/QASYMM8_SIGNED.
- * @param[out] dst Destination tensor. Data type supported: Same as @p src.
- * @param[in] info Depthwise convolution meta-data.
- *
- */
- void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const ConvolutionInfo &info);
- /** Static function to check if given info will lead to a valid configuration
- *
- * Similar to CpuDepthwiseConv2dNativeKernel::configure()
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const ConvolutionInfo &info);
-
- // Inherited methods overridden:
- void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
-
-private:
- template <typename T>
- using FloatEnalber = typename std::enable_if<arm_compute::utils::traits::is_floating_point<T>::value, int>::type;
-
- template <typename T, typename TW, FloatEnalber<T> = 0>
- void run_depthwise(const ITensor *src, const ITensor *weights, const ITensor *bias, ITensor *dst, const Window &window, bool has_biases);
-
- template <typename T>
- using Quantized8bitEnalber = typename std::enable_if < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int >::type;
-
- template <typename T, typename TW, Quantized8bitEnalber<T> = 0>
- void run_depthwise(const ITensor *src, const ITensor *weights, const ITensor *bias, ITensor *dst, const Window &window, bool has_biases);
-
- /** Common signature for all the specialised depthwise convolution native functions
- *
- * @param[in] window Region on which to execute the kernel.
- */
- using DepthwiseFunctionPtr = void (CpuDepthwiseConv2dNativeKernel::*)(const ITensor *src, const ITensor *weights, const ITensor *bias, ITensor *dst, const Window &window, bool has_biases);
-
- DepthwiseFunctionPtr _func;
- PadStrideInfo _conv_info;
- unsigned int _depth_multiplier;
- Size2D _dilation;
- std::vector<int> _output_multiplier;
- std::vector<int> _output_shift;
- bool _has_biases;
-};
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_CPU_DEPTHWISECONV2DNATIVEKERNEL_H */