141 lines
8.6 KiB
C++
141 lines
8.6 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NE_STRIDED_SLICE_H
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#define ARM_COMPUTE_NE_STRIDED_SLICE_H
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/NEON/INEOperator.h"
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namespace arm_compute
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{
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// Forward Declarations
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class ITensor;
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namespace experimental
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{
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/** Basic function to run @ref NEStridedSliceKernel */
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class NEStridedSlice : public INEOperator
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{
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public:
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/** Configure kernel
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*
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* @note Supported tensor rank: up to 4
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*
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* @param[in] input Source tensor info. Data type supported: All
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* @param[out] output Destination tensor info. Data type supported: Same as @p input
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* @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] strides The strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
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* @param[in] end_mask (Optional) If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
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* @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
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* A slice of size 1 starting from starts[i] in the dimension must be preserved.
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*/
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void configure(const ITensorInfo *input, ITensorInfo *output,
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const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
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int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0);
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/** Static function to check if given info will lead to a valid configuration of @ref NEStridedSlice
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*
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* @note Supported tensor rank: up to 4
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*
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* @param[in] input Source tensor info. Data type supported: All
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* @param[in] output Destination tensor info. Data type supported: Same as @p input
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* @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] strides The strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
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* @param[in] end_mask (Optional) If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
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* @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
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* A slice of size 1 starting from starts[i] in the dimension must be preserved.
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output,
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const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
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int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0);
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};
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} // namespace experimental
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/** Basic function to run @ref NEStridedSliceKernel */
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class NEStridedSlice : public IFunction
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{
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public:
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/** Default Constructor */
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NEStridedSlice();
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/** Default Destructor */
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~NEStridedSlice();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEStridedSlice(const NEStridedSlice &) = delete;
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/** Default move constructor */
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NEStridedSlice(NEStridedSlice &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEStridedSlice &operator=(const NEStridedSlice &) = delete;
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/** Default move assignment operator */
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NEStridedSlice &operator=(NEStridedSlice &&);
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/** Configure kernel
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*
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* @note Supported tensor rank: up to 4
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*
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* @param[in] input Source tensor. Data type supported: All
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* @param[out] output Destination tensor. Data type supported: Same as @p input
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* @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] strides The strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
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* @param[in] end_mask (Optional) If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
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* @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
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* A slice of size 1 starting from starts[i] in the dimension must be preserved.
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*/
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void configure(const ITensor *input, ITensor *output,
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const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
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int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0);
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/** Static function to check if given info will lead to a valid configuration of @ref NEStridedSlice
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*
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* @note Supported tensor rank: up to 4
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*
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* @param[in] input Source tensor info. Data type supported: All
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* @param[in] output Destination tensor info. Data type supported: Same as @p input
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* @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] strides The strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
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* @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
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* @param[in] end_mask (Optional) If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
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* @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
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* A slice of size 1 starting from starts[i] in the dimension must be preserved.
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output,
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const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
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int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0);
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_NE_STRIDED_SLICE_H */
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