diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLCropResize.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLCropResize.h | 28 |
1 files changed, 24 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLCropResize.h b/arm_compute/runtime/CL/functions/CLCropResize.h index 244e345b03..86df0d46d1 100644 --- a/arm_compute/runtime/CL/functions/CLCropResize.h +++ b/arm_compute/runtime/CL/functions/CLCropResize.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -62,10 +62,10 @@ public: * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used. * @note Start and end indices of boxes are inclusive. * - * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: F32 - * @param[in] boxes Tensor containing the boxes used to crop the images. Data type supported: F32 + * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: : U16/S16/U32/S32/F16/F32 + * @param[in] boxes Tensor containing the boxes used to crop the images. It has to be known before configuration. Data type supported: F32 * @param[in] box_ind One dimensional tensor containing the batch index of the 3D image in @p input that the corresponding - * box in @p boxes will be applied to. Data type supported: F32 + * box in @p boxes will be applied to. It has to be known before configuration. Data type supported: F32 * @param[out] output Destination tensor containing a cropped and resized image for each box in @p boxes. Data type supported: F32 * @param[in] crop_size The dimensions that each cropped image will be resized to. * @param[in] method The policy to be used when resizing image. Default is bilinear. @@ -73,6 +73,24 @@ public: */ void configure(const ICLTensor *input, ICLTensor *boxes, ICLTensor *box_ind, ICLTensor *output, Coordinates2D crop_size, InterpolationPolicy method = InterpolationPolicy::BILINEAR, float extrapolation_value = 0); + /** Configure kernel + * + * @note Supported tensor rank: up to 4 + * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used. + * @note Start and end indices of boxes are inclusive. + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: U16/S16/U32/S32/F16/F32 + * @param[in] boxes Tensor containing the boxes used to crop the images. It has to be known before configuration. Data type supported: F32 + * @param[in] box_ind One dimensional tensor containing the batch index of the 3D image in @p input that the corresponding + * box in @p boxes will be applied to. It has to be known before configuration. Data type supported: F32 + * @param[out] output Destination tensor containing a cropped and resized image for each box in @p boxes. Data type supported: F32 + * @param[in] crop_size The dimensions that each cropped image will be resized to. + * @param[in] method The policy to be used when resizing image. Default is bilinear. + * @param[in] extrapolation_value Value to be used for values outside of the image for cropping and resizing. Default is 0. + */ + void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *boxes, ICLTensor *box_ind, ICLTensor *output, Coordinates2D crop_size, + InterpolationPolicy method = InterpolationPolicy::BILINEAR, float extrapolation_value = 0); /** Static function to check if given info will lead to a valid configuration of @ref NESlice * @@ -109,6 +127,8 @@ public: std::vector<std::unique_ptr<CLCopyKernel>> _copy; std::vector<std::unique_ptr<CLTensor>> _crop_results; std::vector<std::unique_ptr<CLTensor>> _scaled_results; + + std::vector<std::unique_ptr<ICLKernel>> _internal_kernels; }; } // namespace arm_compute #endif /* ARM_COMPUTE_CL_CROP_RESIZE_H */ |