diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h | 82 |
1 files changed, 82 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h b/arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h new file mode 100644 index 0000000000..5d8a3697cb --- /dev/null +++ b/arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h @@ -0,0 +1,82 @@ +/* + * Copyright (c) 2016, 2017 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_NEGEMMTRANSPOSE1xWKERNEL_H__ +#define __ARM_COMPUTE_NEGEMMTRANSPOSE1xWKERNEL_H__ + +#include "arm_compute/core/NEON/INESimpleKernel.h" + +namespace arm_compute +{ +class ITensor; + +/** NEON kernel which transposes the elements of a matrix in chunks of 1xW, where W is equal to (16 / element size of the tensor) + * + * Following an example of how the transposition1xW works when the input data is F32 + * + * @f[ + * \left( \begin{array}{cccc} + * a00 & a01 & a02 & a03 \\ + * a10 & a11 & a12 & a13 \\ + * a20 & a21 & a22 & a23 \\ + * a30 & a31 & a32 & a33 \\ + * \end{array} \right) + * \rightarrow + * \left( \begin{array}{ccccccccccccccccc} + * a00 & a01 & a02 & a03 & a10 & a11 & a12 & a13 & a20 & a21 & a22 & a23 & a30 & a31 & a32 & a33 \\ + * \end{array} \right) + * @f] + * + * Following an example of how the transposition1xW works when the input data type is F16 + * + * @f[ + * \left( \begin{array}{cccccccc} + * a00 & a01 & a02 & a03 & a04 & a05 & a06 & a7 \\ + * a10 & a11 & a12 & a13 & a14 & a15 & a16 & 17 \\ + * a20 & a21 & a22 & a23 & a24 & a25 & a26 & 27 \\ + * a30 & a31 & a32 & a33 & a34 & a35 & a36 & 37 \\ + * \end{array} \right) + * \rightarrow + * \left( \begin{array}{cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc} + * a00 & a01 & a02 & a03 & a04 & a05 & a06 & a07 & a10 & a11 & a12 & a13 & a14 & a15 & a16 & a17 & a20 & a21 & a22 & a23 & a24 & a25 & a26 & a27 & a30 & a31 & a32 & a33 & a34 & a35 & a36 & a37\\ + * \end{array} \right) + * @f] + * + * @note The output matrix will have the following shape: [ height * W, ceil(width / W) ], where W = (16 / element size of the tensor) + * + */ +class NEGEMMTranspose1xWKernel : public INESimpleKernel +{ +public: + /** Initialise the kernel's input and output. + * + * @param[in] input Input tensor. Data types supported: U8/S8/QS8/U16/S16/F16/U32/S32/F32 + * @param[out] output Output tensor. Data type supported: same as @p input. + */ + void configure(const ITensor *input, ITensor *output); + + // Inherited methods overridden: + void run(const Window &window) override; +}; +} +#endif /*__ARM_COMPUTE_NEGEMMTRANSPOSE1xWKERNEL_H__ */ |