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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2017-11-23 09:49:51 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:42:33 +0000 |
| commit | 780db4eb6a9e3dee565d14f36d772038cd3253da (patch) | |
| tree | 53490d6a03bdeb26d77bc8840d1dbf6027e81f5c /arm_compute/core/Utils.h | |
| parent | d7ba5397b676c966cb5069c7187a12a0c35305f5 (diff) | |
| download | ComputeLibrary-780db4eb6a9e3dee565d14f36d772038cd3253da.tar.gz | |
COMPMID-471 Implement Deconvolution on OpenCL
Change-Id: Ie00c6b08a51d30c5ce2637d40ee3d165b8a68686
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110311
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/Utils.h')
| -rw-r--r-- | arm_compute/core/Utils.h | 28 |
1 files changed, 13 insertions, 15 deletions
diff --git a/arm_compute/core/Utils.h b/arm_compute/core/Utils.h index f78add13f9..51967b1762 100644 --- a/arm_compute/core/Utils.h +++ b/arm_compute/core/Utils.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2016, 2017 ARM Limited. + * Copyright (c) 2016, 2017, 2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -614,25 +614,23 @@ TensorShape deconvolution_output_shape(const std::pair<unsigned int, unsigned in /** Returns expected width and height of the deconvolution's output tensor. * - * @param[in] in_width Width of input tensor (Number of columns) - * @param[in] in_height Height of input tensor (Number of rows) - * @param[in] kernel_width Kernel width. - * @param[in] kernel_height Kernel height. - * @param[in] padx X axis padding. - * @param[in] pady Y axis padding. - * @param[in] ax The number of zeros added to right edge of the input. - * @param[in] ay The number of zeros added to top edge of the input. - * @param[in] upscalex How much to scale the X axis. - * @param[in] upscaley How much to scale the Y axis. - * @param[in] round Rounding policy to be used when computing the output's dimensions. + * @param[in] in_width Width of input tensor (Number of columns) + * @param[in] in_height Height of input tensor (Number of rows) + * @param[in] kernel_width Kernel width. + * @param[in] kernel_height Kernel height. + * @param[in] padx X axis padding. + * @param[in] pady Y axis padding. + * @param[in] inner_border_right The number of zeros added to right edge of the input. + * @param[in] inner_border_top The number of zeros added to top edge of the input. + * @param[in] stride_x X axis input stride. + * @param[in] stride_y Y axis input stride. * * @return A pair with the new width in the first position and the new height in the second. */ - const std::pair<unsigned int, unsigned int> deconvolution_output_dimensions(unsigned int in_width, unsigned int in_height, unsigned int kernel_width, unsigned int kernel_height, - unsigned int padx, unsigned int pady, unsigned int ax, unsigned int ay, - float upscalex, float upscaley, DimensionRoundingType round); + unsigned int padx, unsigned int pady, unsigned int inner_border_right, unsigned int inner_border_top, + unsigned int stride_x, unsigned int stride_y); /** Returns expected width and height of output scaled tensor depending on dimensions rounding mode. * |